Data Analytics with Python & AI/ML

Course with Placement Support

4.71/5 | 2 Lakh+ Ratings

The Data Analytics with Python & AI/ML Program is an intensive 6-month career-oriented journey designed to transform you into a job-ready Data Analyst and future-ready AI practitioner. You’ll learn to work with real-world data, uncover insights, build visualizations, and apply Machine Learning techniques — all using industry-standard tools. From mastering Python and analytics fundamentals to applying AI-powered tools for faster analysis, automation, and decision-making, this program prepares you to tackle data challenges confidently in any organization.

Business Analyst

SDE II @ Microsoft

Data Analyst

SDE II @ Microsoft

Our Client Partners

and many more

Key Features

6 months live online instructor-led session

168 Hours of Self-paced Videos

25+ Industry Projects

Certification by iHub, IIT Roorkee

Learn from IIT Faculty & Top Industry Experts

Certification by Microsoft

3 Guaranteed Job Interviews*

Top 2 performers per batch will receive Rs 80000 in fellowship*

4.7 Skills You’ll Gain

Our Role In Your Success

Frontend: HTML, CSS, JavaScript, Bootstrap, React / Angular
Backend: Core Java, Spring Boot, Hibernate
Database: MySQL, Oracle T ools & AI: Git, JIRA, Jenki
Tools & AI: Git, JIRA, Jenkins, AI-powered coding tools
Practices: Agile, SDLC, MVC Architecture

Resume & LinkedIn optimization
Technical & HR mock interviews
Personalized career counselling
Access to exclusive job networks and hiring partners
Lifetime mentorship for continuous growth and upskilling

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Our Hiring Partners

Data Analytics Trends

Our Hiring Partners

13 % CAGR

Estimated growth by 2026

30 %

Increase in Job demand

Data Analytics

Annual Salary

Source : Glassdoor

Top Companies Hiring Globally

Hiring Companies

Source : Indeed

The India has 80,000 job opportunities available for Data Analytics

LinkdIn

Data Analytics earns an average annual salary of ₹6,08,328

Glassdoor

Cognizant, Spotify, etc. are recruiting Data Analytics across the world

Indeed

Course Syllabus

Python Programming

Introduction to Python
Python Installation & Setup
Understanding Syntax & Indentation
Variables & Data Types
Operators & Expressions
Conditional Statements – if, elif, else
Looping Constructs – for, while, nested loops

Data Structures in Python

Functions & Object-Oriented Programming (OOP)

Defining Functions – Parameters, Arguments
Types – Default, Keyword, Lambda
Scope – Local & Global | Classes & Objects
Constructor Method (init) | Inheritance – Single, Multiple
Polymorphism, Encapsulation | Practical OOP Implementation

File Handling & Exception Management

Modules, Packages & Environments

Mini Project

Django Basics

Models & ORM

Views & URLs

Templates & Static Files

Forms & User Input

Authentication & Admin

Django REST Framework (DRF)

Deployment & Git

Capstone Project

Excel for Analysts

Excel Basics
Data Types
Tables & Ranges
Conditional Formatting
Sorting & Filtering
Charts & Graph
Pivot Tables
Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)
Data Cleaning
What-If Analysis
Macros & Shortcuts

Data Visualization (Python + Excel)

Python for Analytics

Python Basics
Jupyter Notebooks
Data Types, Variables, Operators
Conditional Statements
Loops
Functions
File Handling
Working with JSON & CSV
Python Packages Overview

Python Libraries for Data Analysis

Statistics for Data Analytics

Descriptive Statistics
Mean, Median, Mode, Variance, Standard Deviation
Probability Basics
Distributions (Normal, Binomial)
Correlation & Covariance
Outlier Detection
Hypothesis Testing – z-test, t-test

SQL for Data Analytics

Relational Database Concepts
MySQL/PostgreSQL Basics
SELECT, INSERT, UPDATE, DELETE
Filtering & Sorting
Joins – Inner, Left, Right, Full
GROUP BY, HAVING, Aggregate Functions
Subqueries
Views & Indexing
Data Normalization

Power BI (Dashboarding & Reporting)

Power BI Basics
Data Loading & Transformation
Power Query Editor
Creating Visualizations
Filters & Slicers
Drill Down
DAX Functions – CALCULATE, SUMX, IF, SWITCH
Creating Interactive Dashboards
Sharing & Publishing Reports

Tableau – Data Storytelling & Dashboarding

Tableau Basics
Connecting to Data Sources
Dimensions vs Measures
Creating Visualizations – Bar, Line, Tree Map, Maps
Filters, Parameters, Groups
Calculated Fields
Creating Dashboards & Stories
Creating Dashboards & Stories
Publishing to Tableau Public

AI & Machine Learning

Introduction to AI & ML
AI vs ML vs DL
Real-World Use Cases
Types of Machine Learning – Supervised, Unsupervised, Reinforcement
Tools Overview – Python
Data Visualization – Matplotlib & Seaborn
Bar, Line, Histogram, Boxplot

Correlation & Heatmaps
ML Basics – ML Workflow
Dataset Splitting – Train/Test
Model Building Steps
Scikit-Learn Intro
KNN Classifier
Supervised Learning – Linear Regression (Theory + Code)

Dimensionality Reduction (PCA Intro)
Use Cases – Segmentation, Anomaly Detection
Logistic Regression (Binary Classification)
Evaluation Metrics – Accuracy, Precision, Recall
Unsupervised Learning – K-Means Clustering

Mini Project – Customer or Student Segmentation
Capstone Project – Real-world Dataset
Data Cleaning + EDA + Model Building + Evaluation + Report
Mock Interview Preparation
Resume Building Tips
Final Assessment + Full Revision + Q&A Wrap-Up

SoftSkills & English Communication

Introduction to Soft Skills & Etiquette
Verbal & Non-verbal Communication
Active Listening
Effective Speaking
Body Language & Confidence Building
Group Discussion Practice
Grammar Refresher – Tenses, Articles, Prepositions
Vocabulary Building
Daily Use Expressions

Reading Comprehension
Sentence Framing
Conversational Role Plays
Public Speaking Skills
Overcoming Stage Fear
Presentation Structure & Flow
Visual Aids & Delivery Etiquette
Visual Aids & Delivery Etiquette
Email Writing – Tone, Structure, Format

Business Writing – Letters, Reports
Resume & Elevator Pitch
HR Interview Questions & STAR Technique
Workplace Behavior
Team Collaboration & Conflict Resolution
Time Management & Goal Setting
Final Assessment + Interview Simulation + Q&A

Aptitude

Number Systems
Simplification
Ratio &Proportion
Percentages
Averages
Time & Work
Profit & Loss
Simple & Compound Interest
Time, Speed & Distance
Boats & Streams
Pipes & Cisterns
Mixtures & Alligations

Age Problems
Practice Worksheets
Series Completion – Numbers, Alphabets
Coding-Decoding
Blood Relations
Directions
Seating Arrangement
Puzzles
Syllogism
Ranking & Order
Venn Diagrams
Arithmetic Word Problems

RACES
Geometric Mensuration
Permutation and Combination
Probability
Image Conmpletion
Direction Sense
Analogy
Clock and Calendar
Trains
Full-Length Aptitude Mock Test
Mock Test
Final Assessment + Strategy Tips + Q&A Wrap-Up Aptitude Soft Skills

Technologies Covered In This Course

Build Industry projects from Scratch

RetailPro: Smart Inventory Manager

Optimize inventory levels and reduce waste across retail chains by analyzing sales trends, restock cycles, and seasonal demand.

Technology: Data Analytics

FinScope: Business Expense Tracker

Track, visualize, and optimize company-wide expenses and revenues for better budgeting and forecasting.

Technology: Business Analytics

MetroCommute: City Transport Analysis

Evaluate public transport performance using ticket data and route occupancy trends to recommend route optimization.

Technology: Data Analytics

DineSmart: Restaurant Order Manager

Create a complete restaurant order management and billing solution with admin and kitchen modules.

Technology: .Net

ShopTrend: Online Store Insights Dashboard

Build an interactive dashboard that showcases online product trends, customer preferences, and category performance.

Technology: .Net

QuizBash: Interactive Coding Quiz Platform

A real-time coding quiz platform with scoring and feedback, designed to test job-ready skills.

Technology: Java

WeatherSnap: Forecast Dashboard System

Build a system that fetches and displays real-time and historical weather data with filtering options.

Technology: Java

The Learning Journey

Every learner at ITROOTS follows a path that ensures real progress and measurable results:

Step 1

Begin your transformation with a clear career roadmap

Step 2

Master Java and AI through focused, daily sessions.

Step 3

Work on real, AI-integrated projects that sharpen your skills.

Step 4

Strengthen your performance with assessments and mock interviews.

Step 5

Land your dream job with our 100% placement support.

Step 6

Enjoy lifetime mentorship and career guidance - always.

Our Placed Students

Results Speek Volumes

Priya Wagh Software Developer

ITROOTS is one of the best institutes for training and placement. The trainers are experienced, supportive, and always approachable. I completed my Full Stack Java Certification from ITROOTS and got placed as a Software Developer. Grateful to the entire ITROOTS team for their constant guidance.

Harsh Patil Full Stack Developer

Joining ITROOTS was the best decision for my IT career. In just six months, I learned Frontend, Backend, and Database technologies and got placed within a week after completing the course. The placement team is truly dedicated and helpful throughout the process.

Mayur Aware Software Tester

ITROOTS is an excellent place for learning and placement. The team is very supportive and helps you build knowledge from the basics, even if you come from a non-IT background. Thank you, ITROOTS, for helping me start my career with confidence.

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Data Analytics Course - FAQs

How many hours will the Data Analysis Online/Offline classes in Pune conducted each day?

For newcomers and working individuals, the duration will be 2 to 2.5 hours, and it will extend further if we incorporate daily doubt-clearing and interview preparation sessions

How can I enroll in the Data Analysis course?