Complete Data Analytics with AI

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interested count136k+ interested Geeks

Become an industry-ready Data Analyst from the ground up.

  • 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 and 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!
levelBeginner to Advancedcourse duration12 Weeks
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Course Overview

170+ Hours of
Video Content
950+ Practice
MCQs
550+ In-depth
Articles
100+ Practice
Problems
Advanced Excel
Advanced Excel & Copilot AI

Master complex formulas, Power Query, and AI tools to automate analytical workflows.

Enterprise SQL
Enterprise SQL & Query Optimization

Utilize advanced joins, window functions, and CTEs for enterprise database management.

Python Programming
Python Programming Fundamentals

Build a solid coding foundation in Python data structures and functions for data analysis.

Data Wrangling
Comprehensive Data Wrangling & EDA

Clean and transform massive datasets using Pandas, NumPy, and AI assistance.

Data Visualization
Data Visualization & Storytelling

Craft compelling visual narratives using Matplotlib, Seaborn, and Plotly.

Power BI
Interactive Dashboarding with Power BI

Design and publish professional-grade, interactive reports using DAX.

LLM Analytics
LLM-Powered Analytics

Integrate Large Language Models to accelerate code generation and comprehensive reporting.

For Your Resume

Skills You'll Gain

Exploratory Data Analysis (EDA) Advanced Data Cleaning & Transformation Database Management & Query OptimizationCohort, Funnel, and Retention Analysis Interactive Data Visualization & Dashboarding AI-Assisted Code Generation & DebuggingStatistical Analysis & Outlier Detection ETL Pipeline Development (via Power Query) Business Intelligence Reporting & Storytelling

Tools You'll Learn

Microsoft Excel
SQL
Python
Pandas & NumPy
Matplotlib, Seaborn & Plotly
Microsoft Power BI & DAX
Large Language Models
Microsoft Copilot
Read more

What Sets Us Apart

IBM Certification

IBM Certification

Earn an industry-recognized IBM Certificate after successfully completing the program
24 X 7 Doubt Support

24 X 7 Doubt Support

AI Chat Support for instant doubt resolution, plus a dedicated Teaching Assistant exclusively assigned to your batch.
Recognised Certification

Recognised Certification

Earn an industry-recognized GeeksforGeeks Training Certificate for credible validation, career advancement, and lifetime
Complimentary Course Access

Complimentary Course Access

Get 1-year premium access to course content and recordings, mentor-led quality you can revisit anytime, anywhere

Course Syllabus

Complete Data Analytics with AI
AI Toolkit for Developers

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)
Read more

Upcoming Batches

Batch
Mentor
STARTING FROM
TIMINGS

Testimonials

quote
This was the best course ever on data analytics that I purchased. From the documentation part to the video lectures, all was very good. Though I found...
Yash Saxena
Yash Saxena
Placed at LTIMindtree
quote
This course has truly been a game-changer for me in developing my data analytics skills. I’ve learned how to work with large datasets effectively, ide...
Sagar Patle
Sagar Patle
Placed at Quantity kiosk Technology
quote
I learned skills such as SQL, Python, advanced Excel, and Power BI, progressing from basics to a level where I could successfully crack interviews. Th...
Laxmi Kumari Sinha
Laxmi Kumari Sinha
Working with HustleHub as a Research Analyst.
quote
The course was very good to understand basic to Advance .
RAUSHAN
RAUSHAN
Placed at Infosys
quote
I have gained a great deal of knowledge from this course, many of which are applicable to current industrial initiatives. I begin working as a develop...
Somshubhra Giri
Somshubhra Giri
Placed at Infosys
quote
This course helped me in getting me skilled and confident about data analytics.
Snehal Santosh Kotkar
Snehal Santosh Kotkar
Placed at Celebal Technologies

Frequently Asked Questions

01

Is there any number to contact for query?

02

How will my doubts be addressed throughout the course?

03

Is there a refund option if I am not satisfied with the course?

04

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05

How long will I have access to the course?

06

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