Ranked #1 International Training Institute 4.9 Google Rating

Customized Corporate Training

Whether you’re looking to upskill your workforce in data science, machine learning, cybersecurity, financial modelling, or other relevant domain, we’re here to help you succeed.

Contact us to discuss your specific training needs and requirements. Our team will work closely with you to customize our training program and deliver sessions that align with your organizational goals and objectives.

BIA® is highly rated at 4.9-star and is ranked #1 International 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 technologies.

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Certification: Certificate of Course Completion

Recognizing Proficiency and Readiness of Attendees

Ranked #1 International Training Institute

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

Custom Training Consultation

Free Consultation for Customized Training

Learning Path

The Learning Path is Customized to Suit the Unique Needs of the Organization

Training Support

Access to Learning Material, Troubleshooting Software Tools and Follow-up Resources

Machine Learning for Problem Solving Course Overview

Key Highlights

Immersive Classroom Experience

Immersive Plus Online Blended Learning

Globally Recognized Dual Certification

Modules Integrated with Generative AI

Real World Projects and Case Studies

Practical Hands-on Capstone Projects

Hands-on Training By Industry Experts

Customized Learning Path

40+ Hours of Learning & Practical Exercises

5+ Industry Case Studies and Assignments

15+ Programming Tools & Technologies

Dedicated Support

Syllabus for Customized Corporate Training

Our customized corporate training syllabus offers practical learning and hands-on exercises, featuring expertly crafted content developed by top industry professionals. Experience a cutting-edge learning journey designed to meet your organization’s unique needs.

How do you ensure that your training programs are tailored to meet the specific needs of our organization?

Our training programs are meticulously tailored to meet the specific needs of your organization through a collaborative process of assessment and customization. We understand that every organization is unique, and we work closely with your team to ensure that our training addresses your industry challenges and goals effectively.

Can you explain your process for assessing our organization’s industry, challenges, and goals to craft the training syllabus?

Our process begins with a comprehensive assessment of your organization’s industry landscape, challenges, and objectives. This allows us to gain valuable insights into your specific training needs and informs the development of a customized syllabus that aligns with your goals.

How do your industry-expert trainers blend academic depth with real-world know-how to create a customized learning experience?

Our industry-expert trainers bring a wealth of practical experience and academic expertise to the table. They blend theoretical knowledge with real-world insights to create a dynamic learning experience that resonates with participants. By combining academic rigor with hands-on application, our training programs equip your team with the skills they need to succeed in today’s competitive landscape.

How do you maintain open communication and flexibility throughout the training process to ensure alignment with our organization’s evolving needs?

Our commitment to open communication and flexibility ensures that your organization’s needs are always front and center throughout the training process. Our team is committed to listening to your feedback, making adjustments as necessary, and providing ongoing support to ensure a seamless training experience from start to finish.

10+ Programming Tools, Libraries & Technologies Covered

5+ Generative AI Tools, Libraries & Technologies Covered

Certification

Sample Certificate of Completion

Upon successful completion of the course, each attendee will receive the ‘Certificate of Completion,’ acknowledging their proficiency and demonstrating readiness to tackle complex business challenges.

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 for business decision making 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 expert within your industry of focus, poised to impart invaluable knowledge and insights tailored specifically to the needs of your business. Consider your trainers not only as mentors but as indispensable resources deeply integrated within the professional landscape you’re part of.

40+ Hours

Learning & Practicals

5+

Projects & Case Studies

15+

Tools & Technologies

DOWNLOAD BROCHURE

Machine Learning for Problem Solving: Orientation

Overview of the Course Modules
Brief on Assignments and Assessments

Business Problem Understanding and Data Preparation

Techniques for conducting stakeholder interviews and gathering requirements.
Methods for translating business objectives into data science problems.

Advanced techniques for handling missing data, outliers, and skewness in corporate datasets.
Exploratory data analysis (EDA) techniques for identifying patterns and correlations.

Performing advanced data cleaning and EDA tasks using Python libraries such as pandas, NumPy, and matplotlib.

Advanced Feature Engineering and Selection

Techniques for handling text data: tokenization, stemming, and vectorization.
Time-series feature engineering: lag features, rolling statistics.
Dimensionality reduction techniques: principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE).

Embedded methods: Lasso regression, tree-based feature importance.
Wrapper methods: Recursive feature elimination (RFE), forward/backward selection.

Implementing advanced feature engineering and selection techniques using Python libraries such as scikit-learn and feature-engine.

Model Building and Evaluation

Ensemble methods: Random forests, gradient boosting machines (GBM), XGBoost.
Deep learning: Introduction to neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs).

Feature importance analysis: Permutation importance, SHAP values.
Model visualization techniques: Partial dependence plots, SHAP summary plots.

Building and evaluating advanced machine learning models using scikit-learn, XGBoost, and TensorFlow/Keras. Interpretability and explainability analysis using SHAP and other techniques

Model Deployment and Productionization

Containerization: Docker, Kubernetes.
Model serving frameworks: TensorFlow Serving, Flask.

API design and documentation.
Scalability and performance optimization: Load balancing, caching.

Deploying a machine learning model using Docker containers and Kubernetes. Implementing API endpoints for model inference using Flask.

Advanced Topics and Emerging Trends

Natural language processing (NLP): Word embeddings, transformers.
Reinforcement learning: Q-learning, deep Q-networks (DQN).

Networking strategies: Building professional relationships, attending conferences.
Continuing education: Online courses, workshops, certifications.

Exploring advanced topics in data science through interactive discussions and hands-on exercises. Applying cutting-edge techniques to solve complex business problems using Python libraries and frameworks.

Capstone Project

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

Learn Through Industry Projects in Data Science 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 IN-CLASSROOM sessions or seamlessly attend the same session ONLINE.
Our In-Classroom 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 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 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, helping them navigate their educational journey

Networking Opportunities

Creating platforms for students to connect with industry professionals for networking and collaboration

Hands-On Projects

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

Skill-Centric Learning

Design courses to focus on developing specific skills in demand within the industry, ensuring attendees are ready to excel in their respective job

Infusing Advanced Tech into Learning Practices

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

Enrollment Process

Step 1

Application Submission

Prospective students complete and submit an online application form, 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 training course and helps them choose the right learning path that best aligns with their 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

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Witness How Our Courses Transform 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

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.”

Student Reviews

16 July 2022

Aryan Sharma

Verified Student

Enrolling in BIA’s Data Science training 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 course to anyone looking to break into the world of data science.

8 January 2023

Priya Reddy

Verified Student

The Data Science & AI 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 & AI 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.