Ranked #1 International Training Institute 4.9 Google Rating 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 Classroom 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.

Data Science Course in Bengaluru - MG Road

Unlock the realm of Data Science with Boston Institute of Analytics' premier Data Science course in Bengaluru - MG Road, renowned as the most comprehensive data science training institute in India. Delve into the entire Data Science lifecycle, encompassing Data Collection, Extraction, Cleansing, Exploration, Transformation, and beyond. Explore a vast array of skills and tools, from Statistical Analysis to Text Mining, Regression Modeling to Deep Learning, all meticulously covered in our data science course curriculum in Bengaluru - MG Road.
At Boston Institute of Analytics, we go beyond mere data science training – we offer a pathway to success. Join us in Bengaluru - MG Road, the heart of India's tech and financial revolution, and embark on a journey to become a sought-after Data Science professional in Bengaluru - MG Road. Discover BIA is regarded as the best Data Science training institute in Bengaluru - MG Road and beyond.

Why Should You Choose Boston Institute of Analytics For Data Science Course in Bengaluru - MG Road?

Embark on your journey towards a rewarding career in Data Science with Boston Institute of Analytics, recognized as one of Bengaluru - MG Road's premier data science training institutes. With a proven track record of shaping the careers of numerous Data Science professionals, both locally and internationally, we stand as a beacon of excellence in the field. Benefit from our expert trainers, each possessing over 15 years of professional experience in the industry. Our dual data science certification in Data Science & Data Analytics, widely regarded as the best in the industry, is tailored to equip you with the skills and knowledge needed to excel in the competitive landscape of Data Science in Bengaluru - MG Road. At Boston Institute of Analytics, we offer a blended learning model that combines data science classroom sessions, instructor-led online sessions, and e-learning modules. Our dedicated data science placement cell and extensive network of 350+ corporate partners ensure that you receive ample opportunities for interviews and data science placement assistance. Whether you're a seasoned professional looking to upskill or a fresh graduate aspiring to kickstart your data science career in Bengaluru - MG Road, our comprehensive Data Science course in Bengaluru - MG Road is designed to meet your needs and exceed your expectations. Join us today and take the first step towards unlocking your full potential in the dynamic field of Data Science in Bengaluru - MG Road.

20+ Programming Tools, Libraries & Technologies Covered

10+ Generative AI Tools, Libraries & Technologies Covered

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

Data Science

+

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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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 andPass
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 A 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 blended learning experience enables students to choose between lively data science course IN-CLASSROOM sessions or seamlessly attend the same session ONLINE.
Our In-Classroom data science course sessions are Live Streamed, allowing students to join in ONLINE mode with real-time options to interact with the trainer and fellow classmates.

Flipped Classroom Learning

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

Asynchronous Learning Modules

Elevate in-person data science course 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 Three 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!

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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 a career in Data Science. Data science courses in India, US, UK, UAE, Pakistan and several other countries 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 a Data Science course?

No prerequisite background in programming or statistics is required to enroll in the Boston Institute of Analytics’ Data Science certification course. Most 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 Data Science training course?

A comprehensive 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 Data Science training course?

Completing a 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 Data Science course in Bengaluru - MG Road?

There are no IT prerequisites. The foundational module in our BIA’s 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 Data Science & AI courses in Bengaluru - MG Road?

The trend shows a rising demand for Data Science courses, 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 data science courses in Bengaluru - MG Road.

Why is Boston Institute of Analytics the best Data Science training institute in Bengaluru - MG Road?

Boston Institute of Analytics excels due to its comprehensive 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 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 a Data Science course in Bengaluru - MG Road?

Institutes offer both classroom-based and online training, 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 an immersive learning experience in the data science and AI training course.

Who should choose the Data Science Course in Bengaluru - MG Road?

Individuals passionate about data analysis, seeking career transitions, or aiming for growth in analytics-driven roles across industries should opt for these 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 data science training in Bengaluru - MG Road?

Boston Institute of Analytics offers comprehensive classroom and 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. BIA offers an immersive learning experience both in the classroom and online sessions.

Why choose the Boston Institute of Analytics for Data Science Course in Bengaluru - MG Road?

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 training institute?

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

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

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

Why Boston Institute of Analytics is the best data science training institute in Bengaluru - MG Road?

Boston Institute of Analytics is considered the best data science training institute in Bengaluru - MG Road 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 Bengaluru - MG Road's competitive landscape.

Can I pay the data science course fee in installments in Bengaluru - MG Road?

At Boston Institute of Analytics, we understand the importance of making quality education accessible and hence we offer flexible EMI payment options for our Data Science courses in Bengaluru - MG Road. 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 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 classroom training in Bengaluru - MG Road?

Yes, BIA offers Data Science classroom training sessions ensuring interactive and immersive learning experiences for students. All our classroom 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 classroom training sessions.

What is the fee/cost of Data Science certification course offered by the Boston Institute of Analytics in Bengaluru - MG Road?

The data science certification course 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 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 Data Science training course in Bengaluru - MG Road?

The duration varies depending on the 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 in Bengaluru - MG Road?

BIA provides avenues for learning through interactive classroom sessions, online 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 certification in Bengaluru - MG Road?

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

What are the main objectives of BIA’s Data Science course in Bengaluru - MG Road?

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 in Bengaluru - MG Road?

Learning Data Science in Bengaluru - MG Road provides access to a thriving job market with opportunities in finance, healthcare, and tech sectors. BIA’s Data Science course in Bengaluru - MG Road 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 Bengaluru - MG Road?

Gain expertise in data manipulation, machine learning, and practical skills through courses, projects, and continuous learning. Also, one can join BIA’s Data Science course in Bengaluru - MG Road 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 in Bengaluru - MG Road?

Learning Data Science in Bengaluru - MG Road is a compelling choice as the city is rapidly gaining prominence in the information technology sector. With its conducive business environment, a proficient workforce, and proactive government initiatives, Bengaluru - MG Road 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 Data Science course fee in Bengaluru - MG Road?

The Data Science course fee in Bengaluru - MG Road 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 data science certificate in Bengaluru - MG Road after the completion of the course?

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

What types of data science certification does the Boston Institute of Analytics provide in Bengaluru - MG Road?

The institute offers dual certification in Data Science & Artificial Intelligence 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 classroom training and online course in Bengaluru - MG Road?

Enrollment for a 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 course duration, offering ample time for study and reference.

Is the data scientist certification in Bengaluru - MG Road conducted online or in a classroom?

Boston Institute of Analytics provides both online and classroom options 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 learning offering both data science classroom training and online training in data science & AI.

Will Boston Institute of Analytics conduct data science classes in Bengaluru - MG Road during weekends?

Data science classroom training in Bengaluru - MG Road 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 data science classes in Bengaluru - MG Road during the morning or evening?

Data science classroom training in Bengaluru - MG Road 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 training course in Bengaluru - MG Road?

The 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 data science?

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 data science and AI training course in Bengaluru - MG Road 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 Bengaluru - MG Road?

Every technical skill needed to become a successful data scientist will be covered in BIA’s 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 Bengaluru - MG Road?

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 Bengaluru - MG Road is covered in our data science & AI training course.

Will I learn Python in BIA’s Data Science course in Bengaluru - MG Road?

Yes, BIA's Data Science training course in Bengaluru - MG Road 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 Bengaluru - MG Road?

Yes, the Boston Institute of Analytics certification course in Data Science & AI in Bengaluru - MG Road 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 data science course in Bengaluru - MG Road?

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 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 job opportunities in Bengaluru - MG Road?

In Bengaluru - MG Road, there are abundant 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 Bengaluru - MG Road?

Data Scientists in Bengaluru - MG Road 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 Bengaluru - MG Road?

In Bengaluru - MG Road, 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 data science internship in Bengaluru - MG Road if I join the course?

Certainly! Upon joining our Data Science course in Bengaluru - MG Road, 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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