Data Analytics with Gen AI
✦Gen AI Ready
Become a Data Analyst & AI Developer in 7 Weeks. Master data, build projects, and get industry-ready.
7 Weeks
Duration
Beginner+
Level
Live
Sessions
Live Cohort
Data Analytics with Gen AI
₹4,99820% OFF
₹4,000Enroll Now to Claim 50% Off
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Course Overview
Everything you will learn and accomplish in a structured 7-week program.
What You'll Learn
- Python for Data Analysis
- NumPy, Pandas & Structured Data
- Data Visualization & EDA
- Statistics & Data Preprocessing
- Machine Learning (Supervised & Unsupervised)
- Generative AI & Chatbot APIs
What You'll Achieve
- 3 Industry-Level Projects
- Data Analytics + Machine Learning Skills
- AI + Chatbot Development
- Portfolio Ready for Jobs & Internships
Why choose this track?
Everything you need to confidently launch a career in Data Analytics with Gen AI.
Continuous Assignments
Doubt clearing sessions
Mock interviews
3 Real-world projects
Course Curriculum
A structured weekly roadmap — from Python fundamentals to data insights and production AI models.
- Data Analytics overview — role of a Data Analyst
- Data Lifecycle: Collection → Cleaning → Analysis → Visualization
- Tools ecosystem: Excel, Python, SQL, Tableau
- Intro to Generative AI (ChatGPT & AI tools)
- Python basics — variables, data types, conditionals, loops, functions
- NumPy arrays, vectorized operations & broadcasting
- Indexing, slicing & multi-dimensional data
- Pandas DataFrames & Series — creating & exploring datasets
- Data cleaning — missing values, duplicates
- Data manipulation — filtering, sorting, transformation
- Aggregation — groupby, pivot tables
- Matplotlib — line, bar & pie charts
- Seaborn — distribution plots, countplots, boxplots, heatmaps
- Data storytelling — presenting insights visually
- Exploratory Data Analysis — feature distributions, correlation, outliers
- Statistics — mean, median, mode, variance, standard deviation
- Probability, distributions & normal distribution
- Data preprocessing — encoding, feature scaling
- 🚀 Project 1: Exploratory Data Analysis on a real dataset
- Excel — data entry, formatting, SUM, IF, VLOOKUP/XLOOKUP
- Excel — pivot tables, aggregation & chart dashboards
- SQL basics — SELECT, WHERE, ORDER BY, LIMIT
- SQL aggregation — GROUP BY, COUNT, SUM
- SQL joins — INNER, LEFT JOIN & real-world queries
- 🚀 Project 2: Data Analysis with Excel + Python + SQL
- Tableau introduction & KPI selection
- Building interactive dashboards & visualizations
- Insights storytelling & final demo presentation
- LLM basics — how ChatGPT works
- Prompt engineering — zero-shot, few-shot, role prompting
- AI workflows — using AI for coding & analysis
- Chatbot development with APIs
- AI content generation — resumes, blogs, automation
- 🚀 Project 3: Build an AI-powered chatbot
- Git & GitHub — repos, clone, push, pull, commit, rebase
- Managing code versions & pull requests
- Portfolio project deployment & documentation
- Interview preparation & career guidance