Complete Data Analytics with AI
Become industry-ready with GfG's Trusted Data Analytics Course.
- Master the end-to-end lifecycle: extract, clean, analyze, and visualize complex datasets
- Advance from Excel and SQL fundamentals to AI-assisted Exploratory Data Analysis with Python & Pandas
- Automate data pipelines and generate deep insights using LLMs and advanced DAX queries
- Evaluate and publish your interactive reports to the cloud using Power BI Service
- Work on 15+ real-world guided projects to enhance your portfolio
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Course Overview
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IBM & GeeksforGeeks Certification
Earn industry-recognized certification
Modern AI Toolkit
Work with the latest AI tools & technologies
Skills You'll Gain
Key Data Analytics concepts you'll build and master.
Exploratory Data Analysis
Advanced Data Cleaning
DB Management & Query Optimization
Cohort & Funnel Analysis
Interactive Data Visualization
AI-Assisted Code Generation
Statistical Analysis
ETL Pipeline Development
Business Intelligence Reporting & Storytelling
Tech Stack You'll Learn
Tools and technologies you'll work with
Microsoft Excel
SQL
Python
Pandas
NumPy
Matplotlib
Seaborn
Power BI & DAX
LLMs
Microsoft Copilot
Projects You'll Build
Real-world projects to apply your skills
Sales & Retail AnalyticBuild enterprise-grade sales analytics dashboards using Excel AI, Power Query, and advanced visualization techniques. Analyze real e-commerce datasets, automate reporting workflows, and generate actionable business insights through comprehensive Myntra sales and retail analytics projects.
SQL Food Delivery AnalysisMaster advanced SQL by analyzing real-world food delivery datasets using joins, CTEs, window functions, and aggregations. Build business-ready reports that uncover customer behavior, restaurant performance, delivery efficiency, and revenue optimization insights.
Flight Price AnalyzersDevelop an end-to-end flight price analytics solution by performing data cleaning, recursive CTE analysis, advanced SQL querying, and trend identification. Generate meaningful insights to evaluate pricing strategies, seasonal demand, and airline performance effectively.
Pandas Airbnb & IMDB AnalysisLeverage Python Pandas to transform, clean, and analyze large Airbnb and IMDB datasets using groupby, aggregation, filtering, and feature engineering. Build insightful analytical reports that support data-driven business decisions and performance evaluation.
Automated Python EDAPerform AI-assisted Exploratory Data Analysis on real-world datasets including Titanic, Netflix, and Global GDP. Automate data cleaning, statistical profiling, visualization, and feature exploration to rapidly uncover trends, anomalies, and valuable business insights.
Power BI Sentiment DashboardDesign an interactive Power BI dashboard using advanced DAX, data modeling, and visualization techniques to analyze customer sentiment. Build executive-ready reports that transform raw feedback into actionable insights for strategic business decision-making and performance tracking.
Course Syllabus
Week 1: Excel Fundamentals and Advanced Dashboards
Day 1: Introduction to Excel for Data Analysis
- Overview of Excel interface
- Navigating sheets efficiently
- Math & statistical functions
- Logical functions
- Text functions for manipulation
- Lookup Functions ( VLOOKUP , HLOOKUP , XLOOKUP )
Day 2: Advanced Formulas & Dashboards Using Excel
- INDEX MATCH
- SUMIF, COUNTIFS, Nested Functions
- Power Query: Import, Transform, Merge, Append
- Pivot tables from multiple sources
- Dynamic Dashboards
- Slicers, Combo Charts, Layout Optimization
Week 2: Excel AI and Introduction to SQL
Day 1: Copilot with Excel
- Excel AI Integration
- Project: Sales Data Analysis (Recorded)
- Project: Myntra Analysis (Live)
Day 2: Introduction to SQL
- Overview of SQL & databases
- Types of Commands ( DDL ,DML ,DQL ,DCL ,TCL)
- Creating & Modifying tables (CREATE/ALTER)
- Understanding Constraints
Week 3: SQL Aggregations and Joins
Day 1: Aggregations & GROUP BY
- Aggregate Functions
- Filtering Aggregates
- GROUP BY vs HAVING
- ORDER BY, LIMIT and OFFSET
- DISTINCT vs UNIQUE
Day 2: Joins & Subqueries
- Introduction to Joins
- INNER, LEFT, RIGHT, FULL OUTER & Self join
- Deep Dive into Joins & Subquery Logic
- Subqueries
- Project: Restaurant Data Analysis (Recorded)
- Project: Swiggy Analysis (Live)
Week 4: Advanced SQL and Data Cleaning
Day 1: Window Functions
- Understanding Windows Functions
- Rank functions (ROW_NUMBER(), RANK(), DENSE_RANK(), PARTITION BY)
- Advanced window functions (LAG(), LEAD(), SUM() OVER(), AVG() OVER())
- AI error detection in analytical SQL
Day 2: Data Cleaning & Recursive CTE's
- CTE ,SUBSTRING, LENGTH, TRIM, REPLACE
- UPPER/LOWER
- DATE_ADD, DATEDIFF, EXTRACT
- Project : Book Data / Flight Price Analysis (Live)