Diploma in Data Science & Machine Learning with Gen AI & ChatGPT

Executive PGP in Data Science & Machine Learning with AI

Mode: Classroom Offline (Pune – FC Road & Kothrud) / Live Virtual Online / Hybrid

Duration: 4 months

4.9 (24,598) reviews

Statistics + Python + MySQL + NumPy + Pandas + Plotly + PandasAI + EDA + Time Series + Machine Learning + Deep Learning + LLM(Gen AI) + AI with Python + AI with SQL + AI with Power BI

Bonus Free Content 🔥

✅ Internship and career mentorship programs till placements

Note: Separate batch & extra sessions for NON-IT Professionals to build strong programming skills from scratch.

Our Promises

100% Job Guaranteed Support

100% Guaranteed Paid/Unpaid Internship

Unlimited Job Opportunities

No Technical Background Required.

Program Flow & Highlights

Covers Python Basic & Advanced with NumPy, Pandas, Data Visualization, Matplotlib, Seaborn, Plotly, Exploratory Data Analysis (EDA) & PandasAI
AI with Python using Gen AI, ChatGPT 5, Gemini, Anaconda AI Assistant
Foundation of Statistics for Data Science
Gain expertise in Data Science, Machine Learning, Deep Learning, and Artificial intelligence, Large Language Model (LLM)
Foundation of Statistics for Data Science
Become expert in Oracle MySQL Workbench & Mongo DB

Course Syllabus

Module 1: Python Basic & Advanced with AI

Python Ecosystem & Environment Setup

Introduction to Python and its use cases
Installing Python (Windows/Linux/macOS)
Python distributions and package managers
Virtual environments
IDEs and editors (VS Code, PyCharm)
Introduction to Anaconda Distribution

Python Scripting Basics

Python syntax and indentation
Variables and data types
Input/output operations
Writing and executing Python scripts
Command-line execution

Functional Programming in Python

Functions and return values
Arguments and parameters
Lambda functions
Map, filter, and reduce
List, tuple, set, and dictionary comprehensions

Control Flow

Conditional statements (if, elif, else)
Looping constructs (for, while)
Break, continue, and pass
Nested loops
Pattern-based problems

Functions and Built-in Objects

User-Defined Functions (UDFs)
Scope and lifetime of variables
Built-in functions and modules
Docstrings and annotations

File Handling with Python

Reading and writing files
Working with CSV, TXT, and JSON files
File modes and file pointers
Context managers (with statement)

Exception Handling

Types of errors in Python
Try, except, else, finally blocks
Custom exceptions
Debugging common runtime errors

Object-Oriented Programming (OOP)

Classes and objects
Constructors and destructors
Encapsulation, inheritance, and polymorphism
Method overriding and operator overloading
Magic (dunder) methods

Advanced Python Concepts

Decorators and closures
Descriptors
Iterators and generators
Debugging techniques and tools

Frameworks & Regular Expressions

Introduction to Python frameworks
Basics of Regular Expressions (regex)
Pattern matching and text processing
Practical regex use cases

Development & Notebook Tools

Jupyter Notebook fundamentals
Markdown and magic commands
Google Colab workflow
Version control basics with Git

Python Libraries for Data Analysis

NumPy arrays and operations
Pandas Series and DataFrames
Data cleaning and transformation
Handling missing data

Data Visualization

Visualization principles
Matplotlib basics
Seaborn for statistical plots
Interactive visualization with Plotly and Cufflinks

Exploratory Data Analysis (EDA)

Data understanding and summarization
Univariate and bivariate analysis
Correlation and feature insights
EDA case studies

Data Analytics using PandasAI

Introduction to PandasAI
Natural language queries on datasets
Data insights using AI-assisted analysis

AI Assistants & Productivity Tools

Anaconda AI Assistant overview
Gemini AI integration concepts
Responsible AI usage

Python with Generative AI

Introduction to Generative AI
Using Python with GenAI APIs
Prompt engineering basics
Simple GenAI-powered applications

Capstone Project

End-to-end Python project
Data analysis and visualization
Documentation and presentation

Module 2: AI with MySql with Oracle Workbench

Introduction

What is a Database?
Importance of Databases in Real-World Applications
What is SQL (Structured Query Language)?
Understanding RDBMS (Relational Database Management Systems)
Advantages of Using SQL
Popular SQL Databases: MySQL, SQL Server, PostgreSQL, Oracle
SQL vs NoSQL Databases

Installation

Installing MySQL Workbench
Setting up MySQL Workbench
Understanding MySQL Workbench Interface

SQL Sublanguages

Overview of SQL Language Components - DDL (Data Definition Language) - CREATE, ALTER, DROP, TRUNCATE
DML (Data Manipulation Language) - INSERT, UPDATE, DELETE
DCL (Data Control Language) - GRANT, REVOKE
TCL (Transaction Control Language) - COMMIT, ROLLBACK, SAVEPOINT
DQL (Data Query Language) - SELECT & Role and Importance of Each Sublanguage in SQL

Data Types and Constraints

SQL Data Types (Numeric, Character, Date/Time)
Choosing Appropriate Data Types
SQL Constraints Overview - NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, DEFAULT, CHECK
Applying Constraints While Creating Tables
Modifying and Dropping Constraints
Understanding Referential Integrity

SQL Clauses

SELECT Statement usage for Fetching Data
FROM, WHERE, ORDER BY, and DISTINCT Clauses
Filtering Data using WHERE
Sorting Data using ORDER BY
Using Aliases for Tables and Columns
Understanding LIMIT and OFFSET

Operators

Understanding Operators
Arithmetic Operators
Comparison Operators
Logical Operators
Bitwise Operators

Group By & Having Clause

Aggregating Data using GROUP BY
Aggregate Functions: SUM, AVG, COUNT, MIN, MAX
Filtering Aggregates using HAVING
Combining WHERE and HAVING in Queries
Grouping Multiple Columns

Conditionals

Using Conditional Logic in SQL
CASE WHEN THEN END Statements
Using IF and IFNULL / COALESCE
Handling NULL Values in Expressions
Conditional Aggregation Examples

Built-In Functions

String Functions
Date & Time Functions
Numeric Functions

UNION Operator

Understanding UNION and UNION ALL
Combining Results from Multiple Queries
Rules for UNION Compatibility
Removing Duplicates in UNION
Practical Use Cases of UNION

Subquery

Definition and Importance of Subqueries
Types of Subqueries – (Single Row Subquery, Multiple Row Subquery, Correlated Subquery
Nested Subqueries and Performance Optimization

Joins

Understanding Relationships Between Tables & Types of Joins – (INNER JOIN. LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, CROSS JOIN, SELF JOIN
Combining Multiple Joins
Real-Life Join Scenarios

Views

Introduction to Views
Creating and Managing Views
Simple vs Complex Views
Updatable Views and Limitations
Benefits of Using Views for Security and Simplification

Stored Procedures & Functions

What are Stored Procedures?
Creating and Executing Stored Procedures
Parameters (IN, OUT, INOUT)
Conditional Logic in Procedures
User Defined Functions (UDFs)
Difference Between Procedures and Functions

Benefits of Combining SQL and AI

Speed & Productivity, Better Learning & Understanding, Industry Demand
Use of AI in Business Intelligence and Data Analysis
Skill-building for Future Data and AI Professionals

Use Cases of Gen AI with SQL

Auto-Generate Database Schema
Insert Mock / Sample Data
Generate Views, Procedures & Functions
SQL Query Optimization
Translate SQL Across Dialects
Explain SQL in Plain English
Add Comments Automatically

Gen AI Tools for SQL

ChatGPT, Copilot for SQL
Enterprise AI Tool
Best Practices for Using AI Tools Responsibly

Module 3: Foundation of Statistics for Data Science

Statistics for Data Science Intro
Central Tendency & Percentile
Euclidean Distance
Manhattan Distance
Normal Distribution & Its Properties
Sampling & Variables - Simple Random, Stratified, Systematic
Box Plot & Standardization
Types of probability in statistics - classical, empirical, subjective.
Hypothesis Testing
P-Value, Confidence interval and Steps in hypothesis testing
Question of Hypothesis Testing

Module 4: Time Series

Introduction to time series
Patterns in time series and stationarity
Model Building on Time series
ARIMA
SARIMA

Module 5: Machine Learning

Introduction to Machine Learning

What is ML?
Types of ML - Regression and Classification

Linear Regression

Introduction to linear regression
Rsquare, Adj Rsq, MSE, RMSE, MAPE
Regularization Technique
Ridge and Lasso's regression

Logistic Regression

Introduction to Logistic regression
Confusion Matrix - Tpr, Fpr and all other evaluating Parameters.
Model Building on Logistic regression

Decision Tree

Introduction to DT
How DT works?
Hyper parameter
Model building

Random Forest

Introduction to RF
Ensemble techniques in RF
Model building on RF

K-Nearest Neighbour(KNN)

Introdction to KNN
How actually KNN works?
ModelBuilding on KNN

Naïve Bayes

Introduction of NB
How NB works?
Model building

Support Vector Machine

Introduction to SVM and How it works?
Model building on SVM

Feature selection and Other ML techniques

Boosting Algorithms

Introduction and Model Building

Capstone Project

End to End model building

Unsupervised Learning

- - Introduction to unsupervised
  - Kmeans
  - PCA
  - Clustering

Module 6: Deep Learning

Deep Learning

Introduction to Deep Learning
What is Deep Learning
Why its so Important

Neural Networks

- Introduction to Neural Nets
- Important concepts in NN
- How to design NN
- How NN exactly works
- Model building on NN

Module 7: Natural Language Processing (NLP)

Introduction to Text Analytics
Common concepts in NLP
How NLP works?
Model Building on NLP

Module 8: Convolutional Neural Networks (CNN)

Introduction to CNN
Layers in CNN
Model building on CNN

Module 9: Computer Vision (CV)

Introduction to OpenCV
Advance concepts related to CV
Practical on CV

Module 10: LLM (Gen AI)

LLM Fundamentals:

What Are Large Language Models?
History and Evolution of LLMs Part 1
History and Evolution of LLMs Part 2
Key Differences Between LLMs and Traditional Models
Popular LLMs: GPT, PaLM, Claude, LLaMA, Gemini Part 1
Popular LLMs: GPT, PaLM, Claude, LLaMA, Gemini Part 2

Reinforcement Learning & LLM

Transformers and the Architecture Behind LLMs
Pre-training vs Fine-tuning
Tokens, Context Windows, and Model Parameters
Prompt Engineering Basics
Techniques, Tips & Mistakes to Avoid
Deep Dive into LLMs & Prompt Engineering

Module 11: Soft Skills Development

Communication & Presentation Skills
Problem-solving & Critical Thinking
Collaboration & Teamwork

Module 12: Capstone Projects & Internship

Hands-on Capstone Projects
Internship Opportunity

Call Us

Whatsapp Us

Enquire Now

Free consulting from our expert

Gamaka Career Accelerator & Placements

Gamaka corporate skill development and placements.

Corporate Skill Assessment

Mock Interview (By External Professionals)

25+ Projects / Case Studies

Resume Building

Profile Building on Professional Networking Sites (LinkedIn, Github))

Soft Skills Development

Our Process

1.

Get Trained

2.

Skill Assessments

3.

Interview Preparation

4.

Apply for Jobs

5.

Get Internship

6.

Capstone Projects

Gen AI Examples Videos

Interview Questions Videos

Projects Videos

Course Fee

Executive PGP in Data Science & Machine Learning with AI

12 Modules

50% OFF

₹ 70,000/- ₹ 34,900/-

2 Installments:

₹ 17,200/- (15 days gap)

Down Payment:

₹ 29,900/-

👉 Book in advance ₹500

👉 Book your seat now with just ₹500 advance payment!

✨ LIMITED SEATS – HURRY UP!

💳 Pay Instantly via Razorpay:

Google Reviews

Jaya Nagpure

I recently attended Python classes in Pune, and I must say, it was an amazing learning experience! The instructor was highly knowledgeable, patient, and always ready to clear doubts. The course structure was well-organized, covering everything from basic syntax to more advanced concepts like data structures, algorithms, and libraries like Pandas and NumPy. The practical approach to learning was very beneficial. I had the opportunity to work on hands-on projects, which helped me apply the concepts in real-world scenarios. The learning environment was comfortable, and the class size was perfect for one-on-one attention. I also appreciated the availability of online resources and regular assignments that helped reinforce the material. If you're looking to learn Python in Pune, I highly recommend this course. It’s a great value for both beginners and those looking to level up their skills!

Pratik Rawade

The Python course at Gamaka AI was a great learning experience. The curriculum was well-structured, covering everything from basic syntax to advanced concepts like data structures and OOP. The hands-on approach and real-world applications made learning engaging. The instructors were knowledgeable and provided clear explanations. Good staff and Excellent teaching , Communication is good also Placement is good.

Devesh Mishra

I recently completed the Python module at Gamaka AI Institute in Pune, and I’m really happy with the training experience. The course was structured very well, and the trainer explained all the concepts clearly, making it easy to understand even complex topics. What I appreciated most is that the training is real-time and project-oriented, which helped me gain practical, hands-on experience. The trainer is knowledgeable, patient, and always ready to help.

Darshana Rindhe

I recently enrolled in a Data Science course at gamakaai, and my SQL module just got completed. The experience so far has been really good! The concepts were explained clearly, and the practical examples helped me understand how to use SQL in real-life scenarios. I'm excited to continue rest of the course.

Career Success Stories

Explore Our Placement Opportunities.

These top-tier companies represent the pinnacle of career opportunities available through our placement services. Joining forces with industry leaders, we ensure your success by connecting you with the best possible placements.

Advantages of joining Gamaka AI

Our curriculum empowers you with the expertise needed to thrive in your career. Through systematic learning and practical industry projects, you'll adeptly address intricate challenges and remain at the forefront of the AI & ML field.

Instructor led online & classroom interactive sessions
One-To-One online problem-solving sessions
Complete Soft Copy of Notes & Latest Interview Preparation Set
Trainers are working IT professional with top IT MNC’s
100% Placement Assistance
Resume Building & Mock Interview Sessions

100% Hands-on Training with Live Projects/Case Studies
Internship & Course Completion Certificate
1 Year free subscriptions to portal for updated guides, notes, poc, projects & interview preparation set.
Extensive training programs with Recorded Sessions
24*7 Support on enquiry@gamakaai.com

Course Certificate

Upon successful completion of this data science course, you’ll earn a Certificate. The certificate adds the required weight in any portfolio.

Internship Certificate

This certificate will be issued to those pursuing internships with our development team or clients with whom we have tie-ups. Data Science Internship gives opportunity to learn from professionals, gain practical experience in this field, and build a robust professional network.

Take First Step Towards
Your IT Dream Today

What is Business & Data Analytics?

Business & Data Analytics (BDA) is a field that empowers businesses to make data-driven decisions by transforming raw data into actionable insights. It leverages techniques and tools from statistics, computer science, and domain expertise to unlock the hidden potential within data and answer critical business questions.

Data Acquisition
Data Analysis
Machine and Deep Learning
Data Visualization

BDA professionals collect data from various sources like databases, sales figures, customer surveys, and social media platforms. However, this data often requires cleaning, organizing, and formatting before analysis can begin.

Once the data is prepared, data scientists employ various statistical and analytical techniques to identify patterns, trends, and relationships within the data. This may involve techniques like hypothesis testing, correlation analysis, and regression modeling.

BDA professionals communicate their findings through compelling data visualizations. Tools like Tableau and Power BI help create charts, graphs, and other visual representations that effectively communicate insights to both technical and non-technical audiences within the organization.

Business & Data Analysts don’t just present data; they tell a story. They use data insights to explain trends, support recommendations, and persuade stakeholders to take action.

Impact of Data Science Across Industries

Business & Data Analytics (BDA) is revolutionizing various industries by transforming how they operate and make decisions. Here are some examples:

Finance

BDA helps with fraud detection, risk assessment, algorithmic trading, and personalized financial products.

Healthcare

BDA plays a role in medical diagnosis, drug discovery, patient care optimization, and personalized medicine.

Marketing

Businesses leverage BDA for customer segmentation, targeted advertising, campaign optimization, and measuring marketing effectiveness.

Retail

BDA aids in product recommendation, inventory management, supply chain optimization, and dynamic pricing strategies.

Manufacturing

Data science is used for fraud detection, risk assessment, and algorithmic trading.

Human Resources

BDA can help with talent acquisition, employee performance evaluation, and creating a more data-driven work environment.

Logistics

BDA optimizes delivery routes, predicts demand, and improves overall logistics efficiency.

Transportation

BDA optimizes delivery routes, predicts demand, and improves overall logistics efficiency.

Why Pursue a Data Science Career

High Demand

Business & Data Analytics is a booming field with high demand and growth. You’ll gain coveted skills, solve real business problems, and contribute to success. BDA offers lucrative salaries, career flexibility across industries, and the chance to continuously learn in an ever-evolving field. Launch your rewarding career in data today!

Who can take this course

This course caters to beginners with no prior coding experience (we’ll teach you Python!), career changers looking for a data field entry point, Subject Matter Experts (SMEs) seeking to leverage data analysis in their domain, and even busy working professionals with flexible online, offline, and hybrid learning options, including weekend batches.

Learning Outcomes

This program equips you with the skills to:

- Analyze & visualize data: Uncover insights and communicate them clearly.
- Master Python (and potentially R): Code for data manipulation.
- Understand Machine Learning (optional): Leverage algorithms for business applications.
- Make data-driven decisions: Solve real-world business problems.

Why Choose Gamaka AI

Hands-on Projects & Internship

Gain practical experience by real-world projects and participating in an internship.

Expert Instructors

Learn from data science professionals with real-world experience who will guide you through the program and answer your questions.

Industry Based Curriculum

Our curriculum is designed to equip you with the specific skills and knowledge that are in high demand by today’s data science employers.

100% Placement

We’ll equip you with the skills and support you need to land your dream data science job.

Real World Case Studies

Immerse yourself in real-world scenarios by exploring how data science is applied in various industries.

Extensive coverage on AI Tools

Use AI to clean, transform, and organize data efficiently. Saves time spent on repetitive data tasks.

Specializations & Advantages

1-on-1 Problem Solving Sessions

(softcopies of notes and interview preparation guides)

Complete Course Materials

(softcopies of notes and interview preparation guides)

Industry Expert Trainers

with experience at top MNCs

100% Placement Assistance

with resume building and mock interviews

Extensive Hands-on Learning

with real-world projects and case studies

1-Year Free Access to Learning Portal

for continuous learning

Call Us

Whatsapp Us

Enquire Now

Free consulting from our expert

FAQs about the Course

Do I need prior experience in data analysis or programming?

No prior experience is necessary! Our program is designed for beginners and provides a strong foundation in programming (Python) along with the necessary data analysis skills.

What are the different learning formats available?

We offer flexible learning options to suit your schedule: online, offline (classroom), and hybrid. We also have special weekend batches for working professionals.

Is there any financial assistance available?

While we don't offer direct scholarships, we do have discounted program fees and flexible payment options, including installments and down payments.

Course Content

What modules are included in the program with Machine Learning?

The program with Machine Learning includes all the core modules like Statistics, Data Wrangling, Data Visualization, Programming, Business Intelligence, and Emerging Technologies. Additionally, it delves deeper into Machine Learning fundamentals and its applications in business contexts.

Can I take the program without the Machine Learning component?

Absolutely! We offer a separate diploma program without Machine Learning that focuses on core data analysis skills and business applications.

What programming languages will I learn?

The primary programming language taught is Python, a versatile and in-demand language for data analysis. Some programs may also offer an optional module on R programming.

Career & Internship

What kind of jobs can I get after completing this program?

This program equips you with skills for various data-related roles, such as Business Analyst, Data Analyst, Marketing Analyst, and Business Intelligence Analyst.

Is there an internship included in the program?

The program offers an optional 3-month internship opportunity to gain valuable industry experience and apply your acquired skills in a real-world setting.

What career support services do you offer?

We provide comprehensive career support, including resume building workshops, mock interviews, and access to our industry network to help you with job placement (subject to terms and conditions).

Executive PGP in Data Science & Machine Learning with AI

Our Promises

Program Flow & Highlights

Course Syllabus

Enquire Now

Gamaka Career Accelerator & Placements

Corporate Skill Assessment

Mock Interview (By External Professionals)

25+ Projects / Case Studies

Resume Building

Profile Building on Professional Networking Sites (LinkedIn, Github))

Soft Skills Development

Our Process

1.

2.

3.

4.

5.

6.

Gen AI Examples Videos

Interview Questions Videos

Projects Videos

Course Fee

Executive PGP in Data Science & Machine Learning with AI

₹ 70,000/- ₹ 34,900/-

2 Installments:

Down Payment:

👉 Book your seat now with just ₹500 advance payment!

✨ LIMITED SEATS – HURRY UP!

💳 Pay Instantly via Razorpay:

Google Reviews

Career Success Stories

Explore Our Placement Opportunities.

Advantages of joining Gamaka AI

Course Certificate

Internship Certificate

Take First Step Towards Your IT Dream Today

What is Business & Data Analytics?

Impact of Data Science Across Industries

Finance

Healthcare

Marketing

Retail

Manufacturing

Human Resources

Logistics

Transportation

Why Pursue a Data Science Career

High Demand

Who can take this course

Learning Outcomes

Why Choose Gamaka AI

Hands-on Projects & Internship

Expert Instructors

Industry Based Curriculum

100% Placement

Real World Case Studies

Extensive coverage on AI Tools

Specializations & Advantages

1-on-1 Problem Solving Sessions

Complete Course Materials

Industry Expert Trainers

100% Placement Assistance

Extensive Hands-on Learning

1-Year Free Access to Learning Portal

Enquire Now

FAQs about the Course

Do I need prior experience in data analysis or programming?

What are the different learning formats available?

Is there any financial assistance available?

Course Content

What modules are included in the program with Machine Learning?

Can I take the program without the Machine Learning component?

What programming languages will I learn?

Career & Internship

What kind of jobs can I get after completing this program?

Is there an internship included in the program?

What career support services do you offer?

Take First Step Towards Your IT Dream Today

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Take First Step Towards
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