DSAI
Ranked #1 International Training Institute Rated 4.9/5 by 15k+ Students Learn Advance Machine Learning and GenerativeAI

Data Science and Artificial Intelligence

Embrace the future of Data Science and AI with this comprehensive data science course program, combining the best of both worlds: essential Data Science knowledge and in-demand Generative AI (Gen AI) skills. This data science course features special capstone projects, guest sessions from industry experts, masterclasses, and live BIA® DoubtBuster sessions.

Get hands-on experience with data science course including Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), MLOps, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Attention, Transformers, BERT, and Business Intelligence Tools.
BIA® is highly rated at 4.9-star and is ranked #1 International Data Science Training Institute by British Columbia Times, Business World, Avalon Global and several recognized forums, making it a one-stop shop for mastering most sought-after skills and the latest AI technologies.

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    Dual Certification: Data Science & Artificial Intelligence

    The Two Most In-Demand and Highly Paid Skills

    Ranked #1 International Training Institute

    In 2023, by British Columbia Times, Business World & Others

    3 Learning Paths

    Data Science Certification (4 Months) | Data Science Diploma (6 Months) | Data Science Master Diploma (10 Months)

    15000+ Learners

    Data Science & AI Trained Students Across 105+ Campus in 7+ Countries

    360° Career Support

    Resume Building, Interview Prep, and Access to Partner Companies

    Data Science and Artificial Intelligence Course Overview

    Key Highlights

    Immersive Data Science Course Training Online Live Interactive Experience

    Hands-on Training By Industry Experts

    15+ Industry Case Studies and Assignments

    Data Science Course Modules Integrated with Generative AI

    Exclusive Data Science Job Opportunities Portal

    BIA® Alumni Status

    Globally Recognized Dual Certification

    Real World Projects and Case Studies

    In-person Career Mentorship Sessions (1:1)

    200+ Hours of Learning & Practical Exercises

    360 Degree Career Support

    Live Data Science Course BIA® DoubtBuster Sessions

    350+ Corporate Partners

    Immersive Plus Online Blended Learning

    Practical Hands-on Capstone Projects

    In-person Job Interview Preparation (1:1)

    30+ Programming Tools & Technologies

    Access to Top MNC Companies

    No Cost EMI Options Available

    BIA® Alumni Status

    Syllabus for Data Science Course and Artificial Intelligence

    Delve into 200+ hours of learning and hands-on exercises with our expertly crafted content. Our data science course modules are always up-to-date and seamlessly integrated with Generative AI. Developed by top industry experts, this data science course ensures a cutting-edge learning experience.

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    Topics That Will Keep You Engaged and Curious

    Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), MLOps, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Attention, Transformers, BERT, and Business Intelligence Tools

    Your Roadmap to Learning

    Start with the basics, then move to advanced topics step by step. This prevents feeling overwhelmed and helps you remember and easily grasp new concepts. Each topic builds on what you’ve learned, forming a solid foundation for understanding more in data science course.

    Ideal Candidates for Data Science Course

    In the era of cutting-edge tools and AI, BIA’s data science course is open to everyone. Whether you’re a student pursuing Commerce, Arts, Banking, Engineering, or Science, you can dive into the world of data science. For professionals eyeing a shift into this field, this data science course is a great stepping stone. Business and IT professionals eager to boost their data skills will find valuable insights on this learning path.

    Minimum Eligibility for Data Science Course

    In today’s data science skill-based job market, degrees matter less than a passion for learning. Even a high school diploma is enough to kickstart this journey. Your love for data and enthusiasm for leveraging new-age technology will propel your career forward. Gain data science skills that not only open doors but also create new professional horizons.

    Job Opportunities After Data Science Course

    Data Scientist, Machine Learning Engineer, Deep Learning Engineer, Data Mining Specialist, AI/ML Model Validator, AI Research Scientist, Data Analyst, Data Visualization Specialist, AI Product Manager, AI Chatbot Designer, Big Data Engineer, AI Consultant, Quantitative Analyst, AIOPS Specialist, NLP Engineer, Computer Vision Engineer, Business Intelligence Analyst, Conversational AI Developer, Algorithm Developer, AI Solution Architect

    Industries That Are Hiring Data Scientists and AI Specialists

    The demand for Data Scientists and AI specialists spans across diverse sectors, including Technology, Finance, Banking, Healthcare, E-commerce, Retail, Telecom, Aerospace, Marketing, Entertainment, Sports and more, reflecting the broad applicability and impact of these technologies.

    20+ Programming Tools, Libraries & Technologies Covered

    MySQL

    10+ Generative AI Tools, Libraries & Technologies Covered

    hugging face
    Google Gemini
    OpenAI
    Gradio
    Gamma
    Google Colab
    MySheet AI

    BIA® Dual Certification In Two Most In-Demand And Highly Paid Skills

    Data Science

    Data Science Training Course Certification – BIA

    +

    Artificial Intelligence

    Explore our AI Powered Centralized Learning Hub

    Our AI powered Learning Management System (LMS) is a centralized hub designed to enhance your data science training course experience. It provides seamless access to study materials, lecture recordings, personalized progress tracking, assignment submission, and automated grading. Additionally, it offers access to BIA® DoubtBuster to help clear any doubts you may have.

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    Data Science Training Course LMS

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      Comprehensive Curriculum

      Our data science course curriculum, meticulously crafted and delivered by Industry-Expert Trainers, offers a dynamic fusion of academic depth and real-world know-how.

      Know Your Trainer

      A seasoned pro in the very field you’re passionate about. Beyond learning, this is your golden ticket to tap into their years of hands-on expertise. See your trainers as more than a guide; envision them as a gateway to the industry you’re eager to join.

      200+ Hours

      Learning & Practicals

      15+

      Projects & Case Studies

      30+

      Tools & Technologies

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      Data Science Course and AI Foundation: Orientation

      • Introduction to the Data Science Course
      • Importance of Data Science and AI
      • Fundamentals of Data Science 
      • Introduction to Artificial Intelligence
      • Installing Anaconda
      • Setting up Jupyter Notebooks
      • Setting-up Power BI and Tableau Account
      • Introduction to Excel Environment
      • Overview of the Course Modules 
      • Brief on Assignments and Assessments
      • Digital Platforms and Resources
      • Communication Channels

      Mastering MS Excel

      •  2 Quizzes
      • 1 Project
      • Overview of Excel Interface 
      • Key Formulas and Functions
      • Ranges and Tables 
      • Data Cleaning – Text Functions, Dates and Times 
      • Conditional Formatting
      • Sorting and Filtering
      •  2 Quizzes
      • 1 Project
      • Pivots
      • Data Analysis in Excel – Trends and Patterns
      • Data Visualization in Excel – Charts and Plots
      • Working With Multiple Worksheets
      • Linking and Referencing the Data Between Worksheets

      Python for Data Science

      •  2 Quizzes
      • 1 Project
      • Overview of Python
      • Understanding Statements, Expressions and Indentation
      • Overview of Identifiers, Keywords and Comments
      • Variables: Declaration, Assignment and Naming Conventions
      • Common Data Types: Integers, Floats and Strings
      • Type Casting and Conversion
      • Operators in Python
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Loop Control Statements: Break, Continue and Pass
      • Defining and Calling Functions
      • Function Parameters and Return Values
      • Scope of Variables (Global and Local)
      • Advanced Functions
      • Default Values and Variable-Length Arguments
      • Recursive Functions
      • Map, Reduce and Filter
      • Introduction to Exceptions
      • Try, Except and Finally Blocks
      • Handling Common Errors
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Basic Operations on Lists
      • Demonstration of List Manipulation Techniques
      • Slicing and Indexing in Lists
      • List Comprehension for Concise and Readable Code
      • Tuples Creation
      • Basic Operations on Tuples
      • Slicing And Indexing in Tuples
      • Common Operations on Both Lists and Tuples
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Basic Operations on Dictionaries
      • Manipulating Dictionaries
      • Dictionary Comprehension for Concise Creation
      • Creation of Sets
      • Manipulating Sets
      • Common Operations on Both Dictionaries and Sets
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Intro To Numpy and Creating Numpy Array
      • Basic Operations on Arrays
      • Indexing and Slicing
      • Reshaping, Stacking and Splitting
      • Iteration, Filtering and Boolean Indexing
      • Image Processing Using Numpy and Matplotlib
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Data Structure in Pandas
      • Creating Dataframe and Loading Files
      • Data Exploration (EDA)
      • Creating and Saving Basic Plots Using Matplotlib
      • Creating Statistical Plots Using Seaborn
      • Exploring Relationships in Data: Pair Plot and Heat Map
      • Hands-on Activity

      SQL for Data Science

      •  2 Quizzes
      • 1 Project
      • SQL and Its Significance
      • SQL’S Role in Data Retrieval and Manipulation
      • Select Statement for Data Retrieval
      • Retrieving Specific Columns and All Columns
      • Using Distinct to Remove Duplicates
      • Data Models & ER Diagrams
      • Relational Vs. Transactional Models
      • Organizing Data in Tables
      • Filtering Data with Where Clause
      • Sorting Data with Order By
      • Limiting Results with Limit
      • Using Aliases for Column Names
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Creating and Using Temporary Tables
      • Adding Comments to SQL Code for Documentation
      • Introduction to Data Modeling
      • Designing A Database Schema
      • Sorting Data with Order By (Advanced)
      • Advanced Filtering (With In, Or, And, Not)
      • Performing Mathematical Operations on Data
      • Introduction to Aggregate Functions (Count, Sum, Avg, Max, Min)
      • Grouping Data with Group By
      • Filtering Grouped Data with Having
      • Understanding Subqueries and Their Types
      • Performing Join Operations (Inner Join, Left Join, Right Join, Full Outer Join)
      • Updating and Deleting Data with SQL
      • Analyzing Data with Statistics
      • Hands-on Activity

      Application of Statistics and Probability

      •  2 Quizzes
      • 1 Project
      • Define Statistics and Its Importance
      • Explain The Types of Data: Categorical and Numerical
      • Inferential and Descriptive Statistics​
      • Measure Of Central Tendency: Mean, Median, Mode
      • Measure Of Dispersion: Variance and Standard Deviation
      • Probability Basics, It’s Rules and Notation
      • Probability Distribution – Discrete and Continuous
      • Normal Distribution and Properties
      • Central Limit Theorem and Its Importance
      • Skewness and T-Distributions
      •  2 Quizzes
      • 1 Project
      • Hypothesis Testing – Null and Alternative
      • Significance Level (Alpha) and P-Value
      • One-Sample and Two-Sample T-Test
      • Visualization Plots for Data Exploration
      • Interpretation of Visualization
      • Correlation and Regression
      • Confidence Interval
      • Hypothesis Testing With Z-Test
      • Chi-Square Test for Categorical Data
      • One-Way and Two-Way Anova

      Explore Supervised Machine Learning

      •  2 Quizzes
      • 1 Project
      • Intro to ML & Its Role in Data Analysis
      • Types of Machine Learning – Supervised, Unsupervised and Reinforcement 
      • Data Pre-processing Methods
      • Feature Scaling
      • Linear Regression as Regression Technique
      • Simple Linear Regression
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Model Evaluation Metrics for Regression
      • Mean Absolute Error (MAE)
      • Mean Squared Error (MSE)
      • Root Mean Squared Error (RMSE)
      • R-Squared (Coefficient of Determination)
      • Multiple Linear Regression
      • California Housing Dataset – Model Evaluation
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Overview of Logistic Regression
      • Binary Classification Problem and Logit Function and Odds Ratio
      • Binary & Multi-class LR
      • Classification Matrix: Accuracy, Precision, Recall and F1-Score
      • Confusion Matrix Interpretation
      • ROC Curves & AUC
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Decision Tree and Its Structure
      • Decision Nodes and Leaf Nodes, Parent/Child Node
      • Splitting Criteria – Gini Impurity and Entropy
      • Tree Pruning and Overfitting
      • Techniques to Prevent Overfitting
      • Random Forest – Ensemble Learning and Bagging
      • Gradient Boosting And AdaBoost Ensemble Method
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • K-Fold Cross-Validation for Model Evaluation
      • Hyper-parameter Tuning Using Grid Search
      • Detailed Coverage of Classification Metrics
      • Precision, Recall, F1-Score, ROC Curves, AUC
      • Interpretation and Practical Usage
      • Hands-on Activity

      Explore Unsupervised Machine Learning

      •  2 Quizzes
      • 1 Project
      • K-Means Clustering and Its Applications
      • K-Means Algorithm
      • Choosing the Number of Clusters (K)
      • Introduction to Hierarchical Clustering
      • Agglomerative Hierarchical Clustering
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Classification and Regression with SVM
      • The Concept of Margin and Support Vectors
      • Kernel Trick for Non-Linear Data
      • Introduction to KNN
      • Predictions of KNN Based on Nearest Neighbors
      • Euclidean Distance, Manhattan Distance and Other Distance Metrics
      • Choosing the Value of K
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Understanding Time Series Data
      • ARIMA Model and Its Components
      • Building ARIMA Models
      • Forecasting with ARIMA
      • Seasonal ARIMA (SARIMA) Model and Its Components
      • Building and Forecasting with SARIMA
      • Model Evaluation and Tuning
      • Hands-on Activity

      Explore Deep Learning

      •  2 Quizzes
      • 1 Project
      • Overview of Artificial Neural Networks (ANNs)​
      • Neural Network Basics​
      • Model Representation in Deep Learning​
      • Deep Learning Applications​
      • Training Deep Learning Models​
      • Building A Simple Artificial Neural Network​
      • Hands-on Activity: ANN
      • Convolutional Neural Networks (CNNs)​
      • Hands-on Activity: CNN
      •  2 Quizzes
      • 1 Project
      • Recurrent Neural Networks (RNNs)
      • Recurrent Neurons​
      • Vanishing Gradient Problem​
      • LSTM and GRU​
      • Building and Training RNN
      • Overfitting and Regularization Techniques​
      • Dropout and Normalization​
      • Model Evaluation, Metrics and Hyper-parameter Techniques​
      • Hands-on Activity: RNN, LSTM, GRU

      Discover Natural Language Processing (NLP)

      •  2 Quizzes
      • 1 Project
      • Overview of NLP
      • Challenges in NLP
      • Key NLP Tasks
      • Text Preprocessing in NLP
      • NLP Libraries and Frameworks
      • Feature Extraction and Representation
      • Building A Text Classification Model
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Advanced Word Embeddings
      • GLOVE (Global Vectors for Word Representation)
      • N-Grams
      • Recurrent Neural Networks (RNN)
      • Long Short-Term Memory (LSTM)
      • GRU
      • Hands-on Activity

      Class Project: Application of ML, Deep Learning and NLP

      •  2 Quizzes
      • 1 Project
      • Introduction​ – Data Science Workflow
      • Data Collection​
      • Exploratory Data Analysis (EDA) and Visualization​
      • Data Preprocessing​
      • Machine Learning Model Development​
      • Introduction to Model Deployment
      • Model Deployment​ Using Streamlit
      •  2 Quizzes
      • 1 Project
      • Introduction to Problem Statement
      • Dataset Overview​
      • NLP Model Development​
      • Deep Learning Model Development​
      • Model Evaluation​
      • Model Deployment​ Using Streamlit

      Mastering Data Visualization

      •  2 Quizzes
      • 1 Project
      • Introduction to Power BI, Key Features, Installation and Setup
      • Understanding the Power BI Desktop Interface
      • Exploring the Workspace: Ribbons, Panes and Menus
      • Data Transformation
      • Data Modeling: Relationships, Keys and Hierarchies
      • Data Analysis Expressions (DAX), DAX Functions and Calculations
      • Advanced DAX Calculations: Time Intelligence, Filters and Measures
      • Charts and Page Layouts
      • Creating A Power BI Dashboard
      • Publishing and Sharing Reports and Dashboards
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Overview of Tableau Prep
      • Data Connections, Cleaning and Transformation
      • Introduction to Tableau Desktop
      • Data Source Connection and Navigation
      • Visual Analytics – Sorting and Filtering Data Interactivity
      • Working with Calculated Fields
      • Aggregations and Level of Detail (LOD) Expressions
      • Creating Charts and Dashboards in Tableau
      • Hands-on Activity

      Mastery in Generative AI (Gen AI)

      •  2 Quizzes
      • 1 Project
      • Overview of Generative AI
      • Definition and Key Features of Generative Models
      • Applications of Generative AI Across Various Industries
      • Ethical Considerations and Potential Biases in Generative AI
      • Architecture Overview: Transformers and Their Key Components
      • Pre-Training and Fine-Tuning of LLMs
      • Comparison of Different LLM Models (GPT-3, T5, Jurassic-1 Jumbo)
      • Introduction to Hugging Face and Text Generation/Summarization
      • Setting Up the Environment and Accessing Hugging Face
      • Exploring Pre-Trained LLM Models and Functionalities
      • Implementing Text Generation Tasks Using Transformers and LLMs
      • Experimenting With Text Summarization Techniques with LLMs
      • Analyzing the Strengths and Limitations of Different Approaches
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Fine-Tuning LLMs for Specific Tasks
      • Dataset Preparation and Pre-Processing Techniques
      • Fine-Tuning Hyper-parameter Optimization
      • Evaluating the Performance of Fine-Tuned Models (Bleu and Rouge)
      • Introduction to Retrieve, Augment and Generate (RAG) for Fine-Tuning
      • Hands-On: Fine-Tuning LLM with Custom Data
      • Selection of LLM Models and Dataset
      • Fine-Tuning with Hugging Face Libraries
      • Evaluating and Analyzing the Fine-Tuned Model’s Performance
      • Comparison of Results with The Pre-Trained Model
      • Hands-on Activity
      •  2 Quizzes
      • 1 Project
      • Advanced Fine-Tuning Techniques
      • Prompt Engineering and Its Impact on Generated Text
      • Exploring Techniques Like Beam Search and Nucleus Sampling
      • Conditional Text Generation Based on Specific Contexts
      • Text-To-Speech and Speech-To-Text Integration with Hugging Face
      • Model Evaluation Techniques
      • Going Beyond Bleu and Rouge: Exploring Advanced Metrics for Different Tasks
      • Qualitative Analysis of Generated Text and Summarization Outputs
      • Importance of Human Evaluation in Generative Models
      • Hands-on: Fine-Tuning with Advanced Techniques and Text-To-Speech/Speech-To-Text
      • Experimenting with Prompt Engineering and Advanced Generation Techniques
      • Implementing Conditional Text Generation Based on Specific Contexts
      • Integrating Text-To-Speech and Speech-To-Text Functionalities
      • Evaluating the Performance of Fine-Tuned Models Using Advanced Metrics
      •  2 Quizzes
      • 1 Project
      • Real-World Applications of Generative AI
      • Case Studies of Successful LLM Applications in Various Industries
      • Identifying New Opportunities for Generative AI Solutions
      • Ethical Considerations and Responsible Deployment Practices
      • Designing and Developing a Chatbot
      • Defining the Chatbot’s Functionalities and Target Audience
      • Integrating Fine-Tuned LLM Models for Text Generation, Dialogue, and Text-To-Speech/Speech-To-Text
      • Building the Chatbot Interface and User Interaction Flow
      • Implementing and Deploying the Chatbot With Gradio
      • Testing and Evaluating the Chatbot

      Capstone Project

      •  2 Quizzes
      • 2 Project
      • Project and Dataset Assignment by Capstone Mentor
      • Orientation Session by Capstone Mentor – Project Expectations
      • Mentorship Session by Capstone Mentor – Doubt Resolutions
      • Project Presentation

      Career Enhancement

      • Presentation Skills
      • Email Etiquettes
      • LinkedIn Profile Building
      • Personality Development and Grooming
      • Interview Do’s and Don’ts
      • Mock Interviews
      • HR And Technical Interview Prep
      • One-On-One Feedback

      Learn Through Industry Projects in Data Science Course and AI

      Highlighting a selection of real-world projects and case studies supported by leading companies across industries

      CO2 Emission Prediction in Automobiles

      Building a model to predict Toyota vehicle CO2 emissions using fuel data for sustainable innovation.

      Predictive Analysis for E-Commerce Success

      Crafting a predictive system to forecast customer behavior using diverse ML algorithms for strategic insights.

      Advanced Phishing Detection

      Developing a system to detect phishing attempts with advanced ML algorithms for enhanced cybersecurity measures.

      Decoding Public Sentiment

      Crafting sentiment analysis, leveraging advanced ML and NLP for deep insights into user sentiments and behaviors.

      Predicting Amazon Book Genres

      Forecasting book genres from text data using advance NLP techniques and Machine Learning algorithms.

      Visualizing Entertainment in Tableau

      Explore Netflix’s global content with Tableau: map, top genres, titles added yearly, and interactive details.

      Forecasting Trends in Banking and Finance

      Predict future stock prices with precision using ARIMA, analyzing history to unveil strategic financial patterns.

      Precise Pneumonia Detection

      Automate pneumonia detection in chest X-rays using CNN, optimizing healthcare workflows, and aiding diagnostics.

      Developing a GenAI Chatbot

      Embark on a culinary adventure with a GPT-powered chatbot, guiding users to master delightful recipes.

      The BIA® Advantage

      Blended Learning Opportunities

      • BIA®’s Online Live Interactive classes enable Data science & Artificial Intelligence course students to participate in real-time, engage with expert trainers, and collaborate with classmates, making learning effective and immersive.

      Flipped Learning

      • Our flipped online learning model empowers students to review instructional materials online before class, fostering active discussions, problem-solving, and hands-on activities during online sessions.

      Asynchronous Learning Modules

      • Elevate in-person digital marketing learning with our asynchronous modules, featuring quizzes, assignments, lecture recordings, and extra resources. This allows students to revise learning materials at their own pace and according to their preferences.

      Industry Experience

      • Faculty members with significant industry experience bring practical insights and real-world knowledge into the classroom, enhancing the relevance of the data science course curriculum

      Accessible and Approachable

      • Faculty members are accessible to students, encouraging open communication and providing guidance on academic and professional matters

      Mentorship Initiatives

      • Faculty members mentor students, offering valuable data science career advice and helping them navigate their educational journey

      Networking Opportunities

      • Creating platforms for students to connect with data science industry professionals and peers for networking and collaboration

      Hands-On Data Science Course Projects

      • Incorporate practical projects and assignments to provide students with real-world application of theoretical concepts

      Skill-Centric Data Science Course Learning

      • Design data science courses to focus on developing specific data science skills in demand within the industry, ensuring students are job-ready

      Industry-Relevant Data Science Workshops

      • Organize workshops, seminars, and guest lectures by data science industry professionals to expose students to current industry trends and practices

      Internship Opportunities

      • Facilitate data science internships and industry collaborations to give students direct exposure to the workplace and build practical skills.

      Live BIA® DoubtBuster Sessions

      • Regular data science course live sessions to address and clarify doubts in real-time

      Dedicated Student Support Team

      • A specialized team to assist students with both technical and non-technical queries

      Soft Skills Development

      • Offering workshops and exercises that focus on developing essential soft skills, including communication, teamwork, and critical thinking

      Progress Monitoring Tools

      • Utilize tools to monitor individual progress and provide targeted feedback for improvement

      Resume Writing & LinkedIn Profile Optimization

      • Guidance on creating effective resume and to optimizing LinkedIn profile to enhance professional visibility

      In-person Career Mentorship Sessions (1:1)

      • Tailored one-on-one sessions with a career mentor for personalized guidance

      In-person Job Interview Prep (1:1)

      • Personalized coaching and mocks for job interviews to enhance individual readiness and confidence

      Exclusive Data Science Job Opportunities Portal

      • Access to a specialized portal featuring exclusive data science job opportunities curated for students

      Comfortable and Well-Equipped Spaces

      • Provide comfortable, well-equipped learning centers that enhance the overall atmosphere for students during their learning journey

      State-of-the-Art Facilities

      • Access to cutting-edge facilities equipped with the latest technology, creating an optimal learning environment

      Infusing Advanced Tech into Learning Practices

      • Integrating the latest technological tools and platforms into the learning process to stay ahead of industry trends

      Digital Learning Resources

      • Integrated digital platforms and resources to support student learning, including interactive modules and AI-powered Learning Hub

      Enrollment Process

      Step 1

      Application Submission

      Prospective students complete and submit an online application form for data science course, providing essential profile details.

      Step 2

      Application Review and Discovery Call

      After a thorough review of applications by the academics team, qualified candidates receive a call from our experienced counselor who guides them with the details of data science course and helps them choose the right learning path that best aligns with their data science career goals.

      Step 3

      Confirmation and Enrollment

      Successful candidates receive an offer of admission, and upon acceptance, proceed to complete the enrollment process. This includes submitting necessary documents, paying fees, and attending an orientation session to kickstart their educational journey in data science course.

      APPLY NOW

      Witness How Our Data Science Course Transforms Careers

      Dive in and discover success stories that speak louder than words

      17,000+

      Career Transitions

      50,000+

      Alumni Network

      7,000+

      Industry Mentors and Advisors

      350+

      Corporate Partners

      Priyanka Shah

      1 year experience

      “No more ML mystery! BIA’s clear explanations and hands-on data science projects in data science course demystified Machine Learning for me. Now I’m building smart algorithms with confidence.”

      Sahil Singh

      2 years experience

      “From data analyst to AI pioneer! BIA’s cutting-edge data science course curriculum landed me a dream job at a leading AI research lab. Building the future, one algorithm at a time.”

      Vikram Patil

      2 years experience

      “From spreadsheets to AI wizard! BIA’s Data Science course unlocked the hidden magic in my data, now I’m predicting trends like a pro.”

      Digvijay Sharma

      1 year experience

      “Future-proofed and ready to AI-tack anything! BIA’s comprehensive data science course covered everything from Natural Language Processing to Robotics, I’m prepared for whatever the future throws.”

      Amazon

      Amit Mehta, HR Manager

      “Future-proofed for the AI age! BIA grads at Amazon are building cutting-edge robotics systems, transforming the future of logistics.”

      Netflix

      Rahul Sharma, Sr Data Scientist

      “Machine learning mystery solved! BIA grad demystified our data, predicting customer churn before it happens.”

      Tata Motors

      Abhinav Mehra, Sr Data Engineer

      “Our self-driving car project needed a boost! BIA grad’s AI skills supercharged our algorithms, putting us ahead of the pack.”

      Spotify

      Amit Sharma, Data Science Head

      “Sales slump turned data-driven triumph! BIA grad’s AI marketing campaign optimized our ROI, skyrocketing profits for streaming.”

      The Learning Paths

      Certification

      4 Months

      Diploma

      6 Months

      (Includes 2 Months Internship)
      Master Diploma/Post Graduate Master Diploma

      10 Months

      (6 Months On-Job Training as Data Scientist)

      Refer A Friend and Unlock Rewards!

      Earn Cash Rewards or Vouchers for Every Successful Enrollment Through Your Referral.

      Your friend also receives an instant scholarship. Spread the word and reap the benefits of helping others embark on a rewarding educational journey!

      Start Referring

      Student Reviews

      16 July 2022
      Aryan Sharma
      Verified Student

      Enrolling in BIA’s Data Science course was a game-changer for my career. The comprehensive curriculum and hands-on projects equipped me with the skills I needed to excel in the rapidly evolving field of artificial intelligence. The instructors were knowledgeable and supportive, making the learning experience truly enriching.

      5 September 2022
      Nisha Patel
      Verified Student

      I can confidently say that BIA’s Data Science & AI course is worth every penny. The practical approach to learning, coupled with real-world applications, provided me with a solid foundation in data science. The data science course not only expanded my technical skills but also helped me land a rewarding job in the AI industry.

      19 October 2022
      Rajan Kapoor
      Verified Student

      BIA’s Data Science course exceeded my expectations. The well-structured modules and insightful lectures made complex concepts easy to understand. The hands-on projects were challenging and allowed me to apply what I learned in a practical setting. I highly recommend this data science course to anyone looking to break into the world of data science.

      8 January 2023
      Priya Reddy
      Verified Student

      The Data Science course at BIA is a perfect blend of theory and application. The course materials are up-to-date, and the instructors are industry experts who are passionate about teaching. The skills I acquired during the data science training course program have opened doors to exciting opportunities, and I am grateful for the knowledge gained.

      27 March 2023
      Anika Singh
      Verified Student

      I chose BIA’s Data Science & AI course after researching various programs, and it turned out to be the right decision. The data science course structure is well-designed, covering essential topics in data science and AI. The support from the instructors and the vibrant learning community made my journey enjoyable and rewarding.

      14 June 2023
      Siddharth Mehta
      Verified Student

      BIA’s Data Science course provided me with the skills needed to tackle real-world data challenges. The data science curriculum is comprehensive, and the practical emphasis ensures that students are job-ready. I am now working in a dynamic data science role, and I owe a large part of my success to the quality education I received at BIA.

      BIA® Alumni Working with Top Global Companies

      Frequently Asked Questions on Data Science Course

      General

      What is Data Science and why is it important?

      Data Science involves analyzing large data sets to uncover patterns, trends, and insights that aid in informed decision-making processes, guiding businesses and industries. It is crucial in today's technology-driven world to make informed business decisions, predict trends, and solve complex problems.

      What skills are essential for a career in Data Science?

      No prior IT skills are needed to start in Data Science. Data science courses include a foundational module covering all the topics needed to help beginners get started. Key skills for a Data Science career include proficiency in programming languages such as Python or R, statistical analysis, machine learning, data visualization, and domain-specific knowledge.

      Do I need a background in programming or statistics to enroll in an Online Data Science course?

      No prerequisite background in programming or statistics is required to enroll in the Boston Institute of Analytics’ online Data Science certification course. Most online Data Science programs are tailored to individuals with diverse backgrounds, offering foundational modules that facilitate entry for beginners

      What tools and technologies will I learn in the online Data Science training course?

      A comprehensive online Data Science course typically covers tools and technologies such as Python or R for programming, libraries like Pandas for data manipulation, Scikit-learn for machine learning, and visualization tools like Matplotlib or Tableau.

      What career opportunities are available after completing a online Data Science training course?

      Completing an online Data Science training course opens up various data science career opportunities, including roles like Data Analyst, Machine Learning Engineer, Data Scientist, and more. Industries such as finance, healthcare, e-commerce, and technology actively seek skilled Data Science professionals.

      Academics

      What are the prerequisites for a online Data Science course in ?

      There are no IT prerequisites. The foundational module in our BIA’s online data science & AI course covers everything needed to get started in the field of data science. A keen curiosity to explore data and problem-solving abilities are the key requirements for fostering a strong foundation for data science learning.

      What are the market trends for online Data Science & AI courses in ?

      The trend shows a rising demand for online Data Science courses in , reflecting the industry’s need for skilled professional’s adept in data analysis and machine learning. The industry's focus on data-driven decision-making has led to a surge in data science professionals seeking online data science courses in .

      Why is Boston Institute of Analytics the best Online Data Science training institute in ?

      Boston Institute of Analytics excels due to its comprehensive data science curriculum, practical projects, expert instructors, and flexible training modes catering to diverse learning needs. We have hands-on training with 2 months guaranteed internships in the Online Data Science & AI diploma course and 6 months guaranteed on-job training in the Data Science & AI master diploma course at BIA.

      What is the mode of training provided for an Online Data Science course in ?

      Institutes offer online training sessions, allowing flexibility for students' learning preferences and schedules. All our sessions are live-streamed and recorded and are available in our LMS for students to learn later. BIA offers immersive learning experience in the Online data science training course.

      Who should choose the Online Data Science Course in ?

      Individuals passionate about data analysis, seeking career transitions, or aiming for growth in analytics-driven roles across industries should opt for these Online data science courses to enhance their skills and career prospects. No prior IT skills or prerequisites are needed to get started in the field of Data Science & AI.

      How does the Boston Institute of Analytics provide Online data science training in ?

      Boston Institute of Analytics offers comprehensive online courses facilitated by industry experts, providing hands-on projects and personalized mentorship for practical learning. All our sessions are live-streamed and recorded and are available in our LMS for students to learn later.

      Why choose the Boston Institute of Analytics for Online Data Science Course in ?

      Boston Institute of Analytics stands out due to its robust curriculum, experienced instructors, industry-aligned projects, and placement assistance, ensuring holistic skill development and career readiness. All our sessions are live-streamed and recorded and are available in our LMS for students to learn later.

      Who are the instructors at the Boston Institute of Analytics’ Online Data Science training institute?

      The instructors at the Boston Institute of Analytics’ Online Data Science training institute are experienced data science professionals with industry expertise. They bring practical insights and in-depth knowledge offering comprehensive guidance in Data Science and AI, ensuring students receive quality education and real-world perspectives.

      Is the Data Science online certification exam fee included in the total course fee?

      Yes, the data science online certification exam fees are included in our data science course fees. Upon the successful completion of the data science course and the final capstone project, students are awarded international data science & AI certification by BIA.

      Why Boston Institute of Analytics is the best Online data science training institute in ?

      Boston Institute of Analytics is considered the best online data science training institute in due to its comprehensive curriculum, industry-aligned courses, experienced instructors, practical projects, and robust placement assistance. The institute's commitment to providing a holistic learning experience, coupled with a focus on real-world applications of data science, sets it apart as a top choice for aspiring data science professionals in 's competitive landscape.

      Can I pay the data science online course fee in installments in ?

      At Boston Institute of Analytics, we understand the importance of making quality education accessible and hence we offer flexible EMI payment options for our online Data Science courses in . Feel free to reach out to our academic and admissions team to explore suitable EMI options tailored to your needs.

      What if I miss any data science online class during my course?

      All our data science online course sessions are live-streamed and recorded and are available in our LMS for students to learn later at their convenience.

      Does the Boston Institute of Analytics conduct data science online training in ?

      Yes, BIA offers data science training sessions ensuring interactive and immersive learning experiences for students. All our data science online sessions are live-streamed and recorded and are available in our LMS for students to learn later in case they miss any of the data science online training sessions.

      What is the fee/cost of Data Science online certification course offered by the Boston Institute of Analytics in ?

      The data science online certification cost varies based on the program structure and duration depending on the Certification, Diploma, and Master Diploma training course at BIA. For specific details regarding online data science courses, career opportunities, fees, and available scholarships at the Boston Institute of Analytics, it is recommended to directly consult with knowledgeable academic counselors at BIA.

      What is the duration of the online Data Science training course in ?

      The duration varies depending on the online data science course you enroll in at the Boston Institute of Analytics. BIA offers a 4-month Data Science & AI Certification course, a 6-month Diploma in Data Science & AI, and a 10-month Master Diploma in Data Science & AI Certification.

      How to learn Data Science online in ?

      BIA provides avenues for learning through interactive online sessions, resources, practical projects, and mentorship, fostering a holistic learning environment for aspiring Data Scientists. All our sessions are live-streamed and recorded and are available in our LMS for the students to learn later.

      Do I need a PG degree or IT degree for Data Science online certification in ?

      No, a PG degree isn't mandatory; the Data Science online certification course in focuses on skills and practical knowledge rather than specific academic qualifications.

      What are the main objectives of BIA’s online Data Science course in ?

      The course aims to impart skills in data analysis, machine learning, and problem-solving for real-world applications. We aim to train students in data science & AI and make them industry-ready to lead the data science and AI industry.

      What are the benefits of learning Data Science online in ?

      Learning Data Science in provides access to a thriving job market with opportunities in finance, healthcare, and tech sectors. BIA’s online Data Science course in offers diverse courses, hands-on projects, and networking opportunities, enhancing career prospects. The city's dynamic industry landscape ensures exposure to real-world challenges, fostering a competitive edge for Data Science professionals.

      How to become a Data Scientist in ?

      Gain expertise in data manipulation, machine learning, and practical skills through courses, projects, and continuous learning. Also, one can join BIA’s online Data Science course in to get hands-on immersive training in data science and AI and get industry-ready and lead the data science and AI industry.

      Why learn Data Science online in ?

      Learning Data Science in is a compelling choice as the city is rapidly gaining prominence in the information technology sector. With its conducive business environment, proficient workforce, and proactive government initiatives, has positioned itself as a thriving IT hub. This makes it an ideal location for acquiring Data Science skills, aligning with the city's culture of innovation, and attracting significant investments in the field.

      What is the online Data Science course fee in ?

      The online Data Science course fee in varies depending on the specific course you choose at BIA. Different programs, such as Certification, Diploma, or Master Diploma in Data Science & AI, may have distinct fee structures based on their duration and depth of curriculum.

      Will I get a online data science certificate in after the completion of the course?

      Yes, upon successful completion of the online Data Science course in at Boston Institute of Analytics (BIA), you will be awarded a Data Science online certificate. This certification acknowledges your proficiency and successful participation in the program, adding a valuable credential to your professional profile.

      What types of online data science certification does the Boston Institute of Analytics provide in ?

      BIA offers online data science certifications validating the completion of their various Data Science programs, showcasing expertise and skills. Boston Institute of Analytics offers certifications in all their data science programs including Certification, Diploma, and Master Diploma data science training courses.

      What is the process to enroll for the Boston Institute of Analytics' Data Science online course in ?

      Enrollment for an online data science training course involves online registration, application, and review by the academic team. Qualified candidates receive a call from an experienced counselor who guides them on the course details and helps them choose the right path for their career goals. Successful candidates receive an admission offer and, upon acceptance, complete the enrollment process. This includes submitting necessary documents, paying fees, and attending an orientation session to kick-start their educational journey.

      How many days can I have access to LMS and online study materials?

      Access duration varies by program but typically extends throughout the online data science course duration, offering ample time for study and reference.

      Is the data scientist certification in conducted online?

      Boston Institute of Analytics provides online training for its courses, catering to different learning preferences and needs. All our sessions are live-streamed and recorded and are available in our LMS for students to learn later. BIA offers immersive online learning training in data science & AI.

      Will Boston Institute of Analytics conduct online data science classes in during weekends?

      Data Science Online training in is available on weekends, allowing flexibility for different schedules and commitments. Our batches are suitable for both students and working professionals looking for skills in data science and AI.

      Does the Boston Institute of Analytics conduct online data science classes in during the morning or evening?

      Data science online training in is conducted in both morning and afternoon sessions, accommodating various preferences and availability of students. We have flexible batches to offer flexibility in learning and training in data science & AI.

      Will the Boston Institute of Analytics provide any lab facility to practice data science?

      Yes, the Boston Institute of Analytics offers dedicated lab facilities to provide hands-on practice for data science. This ensures that students can apply theoretical concepts in a practical setting, reinforcing their understanding of data science methodologies and techniques.

      Curriculum

      What's covered in the Data Science online training course in ?

      The data science curriculum spans data exploration, statistical analysis, machine learning algorithms, and practical implementations using Python/R, providing a comprehensive understanding of data-driven decision-making.

      Python Vs. R programming: Which one is better for online data science course?

      Python is more versatile and widely used for its extensive libraries and ease of integration, making it favored for Data Science, though R is preferred in specific statistical applications. BIA's online data science and AI training course in comprehensively covers all the essential skills, including programming which is necessary for excelling in a career in Data Science.

      What are the technical skills needed for a Data Scientist in ?

      Every technical skill needed to become a successful data scientist will be covered in BIA’s online Data Science & AI course. Besides Python and R expertise, proficiency in handling and manipulating data using libraries like Pandas, along with knowledge of advanced machine learning algorithms and data visualization tools, is essential and students are trained for data-driven solutions.

      What are the business skills needed for a Data Scientist in ?

      Effective communication aids in translating complex findings to non-technical stakeholders, problem-solving skills ensure practical application, while domain-specific knowledge aligns data insights with industry needs. Every business skill needed for becoming a Data Scientist in is covered in our data science & AI training course.

      Will I learn Python in BIA’s online Data Science course in ?

      Yes, BIA's Data Science online training course in includes Python programming as part of its curriculum, providing essential data science skills for data analysis and machine learning applications and making you ready for data science career opportunities.

      Will I learn statistics for Data Science & AI in ?

      Yes, the Boston Institute of Analytics certification course in Data Science & AI in includes comprehensive coverage of statistics, providing essential knowledge and skills necessary for a successful career in Data Science. The program ensures that participants gain a solid understanding of statistical concepts, enhancing their ability to analyze and interpret data effectively.

      How many projects are included in the Boston Institute of Analytics’ online data science course in ?

      The number of projects varies but typically involves multiple hands-on projects, providing a comprehensive practical learning experience. All students work on their own Capstone Project under the guidance of industry expert trainers and faculty to get hands-on learning and implementation experience.

      Will the Boston Institute of Analytics provide live data science projects?

      Yes, students have opportunities to work on live data science projects, gaining practical experience in real-world scenarios. Our online data science diploma course includes a 2 month internship, and the data science master diploma course includes 6 months of guaranteed on job training.

      Placements & Internships

      What are the Data Science online job opportunities in ?

      In , there are abundant online Data Science job opportunities across sectors such as finance, healthcare, e-commerce, and technology. Companies are actively seeking skilled professionals in Data Analyst, Machine Learning Engineer, and Data Scientist positions to enhance decision-making and analytics-driven innovation.

      What is the salary of a Data Scientist in ?

      Data Scientists in earn competitive salaries, ranging from INR 6-10 lakhs per annum at entry-level to experienced professionals earning INR 15-30 lakhs per annum.

      What kind of companies hire data scientists in ?

      In , corporations spanning various sectors, including finance, healthcare, e-commerce, and technology, such as TCS, Accenture, and HDFC Bank, actively recruit Data Scientists.

      Can I do a online data science internship in if I join the course?

      Certainly! Upon joining our online Data Science course in , you will get a guaranteed data science internship in top MNCs. Our data science internship opportunities are designed to provide valuable hands-on experience in the field of Data Science & AI.

      How do Boston Institute of Analytics placements work?

      The Boston Institute of Analytics offers a data science placement assistance program to help individuals achieve their career goals. The program connects individuals with partner companies and guides the job search process. The dedicated team offers resume building, interview preparation, and career counseling. Also, the Master Diploma in Data Science course guarantees 6 months of job data science training.

      Does Boston Institute of Analytics guarantee me a job?

      We strive to empower you with the best opportunities and resources to launch a successful career in Data Science. Our Master Diploma in Data Science guarantees 6 months of job training to all our students. Our commitment is to equip you with the necessary skills, knowledge, and support to enhance your employability and facilitate job placement. Success in securing a job depends on various factors, including individual performance, industry demands, and job market conditions.

      What do I gain from the Boston Institute of Analytics Data Science internship programs?

      Participating in the Boston Institute of Analytics Data Science internship programs offers hands-on experience, allowing you to apply theoretical knowledge from their comprehensive certification course in data science to real-world projects. This practical exposure enhances your skills, builds a professional portfolio, and provides valuable networking opportunities within the data science field.

      What are the services provided by the Boston Institute of Analytics Data Science Placement Assistance team?

      The Boston Institute of Analytics’ Data Science placement assistance team offers comprehensive support which includes resume building, interview preparation, and career counseling to enhance your employability. They assist in job search strategies, provide networking opportunities, and keep you updated on industry insights, ensuring you are well-equipped for a successful transition into the professional realm of Data Science.

      How are the career mentoring sessions structured?

      The Boston Institute of Analytics offers personalized career mentoring sessions, involving one-on-one interactions with experienced mentors who assess career goals, strengths, and improvement areas. Mentors provide insights into industry trends, and skill development advice, and align career paths with aspirations. The structured approach includes goal-setting, action plans, and continuous feedback, ensuring a tailored mentoring experience for a successful Data Science career.

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