Business Data Analytics Bootcamp: Master AI-Powered Insights

What you’ll learn

Understand the fundamentals of business data analytics and AI-driven insights
Master essential Excel functions for data cleaning, analysis, and visualization
Write SQL queries to extract, filter, and manipulate data from databases
Create interactive dashboards and reports using Power BI
Learn Python basics and apply Pandas for data manipulation
Automate data analysis and reporting using ChatGPT
Work on hands-on projects with real-world business datasets
Build a portfolio of analytics projects for job applications
Discover and use the top AI tools that every professional should know
Learn how AI, including ChatGPT, enhances data interpretation and decision-making
Perform joins, aggregations, and advanced queries for deeper insights
Utilize PivotTables, Power Query, and advanced formulas for efficient data handling
Connect multiple data sources and apply DAX functions for advanced analytics
Use Matplotlib for data visualization and trend analysis
Generate AI-driven insights to optimize business strategies
Apply data analytics to solve practical business challenges and drive decision-making
Learn industry best practices to stay competitive in the data-driven world

Course Content

Getting started

Start on windows, macOS, and Linux ▶ Preview

How to ask great questions ▶ Preview

FAQs ▶ Preview

Introduction ▶ Preview

Introduction to Business Data Analytics

What is Business Analytics 🔒

Importance of data analytics in decision-making ▶ Preview

Real-world applications of Business Analytics ▶ Preview

Overview of tools - Excel, SQL, Power BI, Python (Pandas) 🔒

Excel Data Basics

Worksheet basics 🔒

Data structuring and formulas ▶ Preview

Data formats ▶ Preview

Data handling basics – cut copy and paste 🔒

Save and print in excel 🔒

Excel Ranges ▶ Preview

Mastering Excel with ChatGPT - AI-Powered Productivity and Automation 🔒

Excel Formulas and Functions

Basic formula operations ▶ Preview

Mathematical functions level1 🔒

Mathematical functions level2 ▶ Preview

Text functions level1 ▶ Preview

Text functions level2 🔒

Logical functions (AND, OR, XOR) 🔒

Date time functions ▶ Preview

Lookup function - VLOOKUP 🔒

Lookup function - HLOOKUP 🔒

HLOOKUP plus Match formula 🔒

Match Index formula Combination 🔒

Excel XLOOKUP only for Excel 2021 and Office 365

Lookup function - XLOOKUP 🔒

Handling hashNA and Approximates match in XLOOKUP 🔒

Wildcard matching in XLOOKUP 🔒

Excel Data Transforming and Importing

Split Text into columns 🔒

Flash Fill 🔒

Remove Duplicates 🔒

Data Validation 🔒

Get - import Data from Text 🔒

Get - import Data from CSV 🔒

Excel Data Formatting and Table Design

Formatting Font 🔒

Formatting Alignment 🔒

Formatting Number 🔒

Formatting Date 🔒

Formatting tables 🔒

Excel Data Analysis with PivotTables

Creating PivotTables for summarization 🔒

Value field settings 🔒

Number format 🔒

Pivot Table Design 🔒

Excel Charts and Data Visualization

Excel Charts – Categories 🔒

Elements of a chart 🔒

Creating dynamic charts 🔒

Column or Bar charts 🔒

Formatting charts 🔒

Line charts 🔒

Area charts 🔒

Pie and Doughnut charts 🔒

Format Area Plot or XY chart 🔒

Scatter or bubble charts 🔒

Microsoft SQL Server setting up

Microsoft SQL Server Installation 🔒

SQL Server Management Studio (SSMS) Installation 🔒

How to connect MS SQL (Windows Authentication) 🔒

How to connect MS SQL (SQL Server Authentication) 🔒

Download and Restore Sample Database 🔒

Mastering SQL with ChatGPT - AI-Powered Skills and Automation 🔒

SQL Azure Data Studio

What is Azure Data Studio 🔒

Azure Data Studio Installation steps 🔒

Azure Data Studio to Connect SQL Server 🔒

Create a Database 🔒

Create a Table 🔒

Insert Data rows 🔒

Getting Data using SQL Query 🔒

SQL Database Basics: Getting Started with SSMS

Overview of Databases 🔒

Creating Database 🔒

SQL Data Types 🔒

Column Data Types on SSMS 🔒

Creating Table 🔒

Overview of Primary Key and Foreign Key 🔒

Primary Key 🔒

Foreign Key 🔒

Creating Temporary tables 🔒

SQL Statements for Data: Querying, Modifying, and Managing Information

Insert statement 🔒

Update (Modifying) query statement 🔒

Delete query statement 🔒

SQL Statements Basic

SQL Statement basic 🔒

SELECT Statement 🔒

SELECT DISTINCT for UNIQUE data reports 🔒

SELECT with column Titles 🔒

Column AS statement 🔒

Data Management: Data Filtering

SELECT WHERE Clause – theory 🔒

SELECT WHERE Clause – practical 🔒

Data Management: Aggregate functions

Mastering SUM() Aggregating Data in SQL 🔒

MIN() MAX() Finding the Smallest and Largest Values in SQL 🔒

Data Management: SQL Conditional Clause Query statements

Order By statement 🔒

SELECT TOP clause in SQL 🔒

BETWEEN command 🔒

IN operator 🔒

Wildcard Characters and LIKE 🔒

Data Management: SQL Group by statement

Group by – theory 🔒

Group by – practical 🔒

HAVING statement 🔒

Data Management: JOINS in SQL - Combining Data Across Tables

Overview of JOINS in SQL 🔒

Understanding JOINS Combining Data Across Tables 🔒

INNER JOIN Retrieving Data from Multiple Tables 🔒

LEFT JOIN Retrieving All Records from Left Table 🔒

Right JOIN in SQL Retrieving Data from the Right Table 🔒

FULL OUTER JOIN Combining Results from Both Tables 🔒

CROSS JOIN in SQL Producing Cartesian Products 🔒

SQL Server Azure Data Studio Visualization

Installing SandDance Extension 🔒

Visualization Charts 🔒

Multiple Table Data Charts 🔒

SQL Server Azure Studio SQL for Data Analysis

Type Decision for Data Analysis 🔒

Data Analysis with Case Statement and String Text 🔒

SQL Server Importing & Exporting data

Importing Text - Flat File 🔒

Importing CSV or EXCEL file 🔒

Export Data to Excel or any format 🔒

SQL Server Secure Backup and Restore Database

Creating Secure Database backup 🔒

Restoring Secure backup Database 🔒

Microsoft Power BI - Introduction

Business Intelligence and Power BI 🔒

Overview of Power BI 🔒

Importance of Data Visualization 🔒

Components of Power BI 🔒

Mastering Power BI with ChatGPT - AI-Powered Insights & Automation 🔒

Power BI - Setting up Desktop Environment

Downloading and Installing Power BI Desktop 🔒

Overview of Power BI Desktop Interface 🔒

Basic Settings and Navigation 🔒

Power BI - Connecting and Shaping Data

Types of Data Sources (Excel SQL Server Web Data etc) 🔒

Connecting Power BI to Excel and CSV Files 🔒

Using Power Query to Transforming Data 🔒

Introduction to Power Query Editor 🔒

Cleaning and Shaping Data 🔒

Combining and Merge (Join) in Power Query 🔒

Managing Relationships Between Data Tables 🔒

Power BI - Data Modelling

Overview of Data Modelling 🔒

Creating Relationships Between Tables 🔒

Optimizing Data Models with Relationships 🔒

Best Practices for Data Modelling 🔒

Power BI - Data Analysis Expressions (DAX)

Basics of Data Analysis Expressions (DAX) 🔒

Create Calculated Columns using DAX formula 🔒

Create Measures using DAX formula 🔒

Use DAX Calculations in Visualizations 🔒

DAX Functions for Aggregations 🔒

Filtering and Conditional Calculations 🔒

Power BI - DAX - Time Intelligence Functions

Prepare Data for functions 🔒

Year-to-Date (YTD) Sales 🔒

Month-to-Date (MTD) Sales 🔒

Quarter-to-Date (QTD) Sales 🔒

Year-Over-Year (YOY) Growth 🔒

Use Measures in Visualizations 🔒

Power BI - Data Visualization

Types of Visualizations in Power BI 🔒

Creating Bar Charts 🔒

Creating Pie Charts 🔒

Creating Tables and Formatting 🔒

Power BI - Interactive Dashboards (SALES data - case study)

Best Practices for Dashboard Design 🔒

Loading Dashboard sample data 🔒

Total Revenue Card for Dashboard 🔒

Revenue by Region Bar Chart for Dashboard 🔒

Units Sold Over Time Line Chart for Dashboard 🔒

Product Distribution Pie Chart for Dashboard 🔒

Adding Slicers for Interactive Dashboard 🔒

Save and Publish the Dashboard 🔒

Power BI - Export - Publishing and Sharing

Export Power BI template 🔒

Export to PDF file 🔒

Publishing to Power BI Service 🔒

Sharing Reports and Dashboards 🔒

Power BI - Mobile App Reporting

Design Mobile Dashboard layouts 🔒

Viewing Reports on mobile Devices 🔒

ChatGPT Open AI - Introduction

What is ChatGPT 🔒

Set up an account with ChatGPT 🔒

How to use ChatGPT 🔒

ChatGPT for your day-to-day tasks 🔒

Python Setting up Local Development Environment

Python Installation step by step 🔒

PyCharm code editor IDE installation 🔒

Getting started First Python project 🔒

First Welcome “Hello World” program 🔒

Python Basics Using ChatGPT AI for Fast Learning

Use ChatGPT to write variables 🔒

Use ChatGPT to write datatypes 🔒

Use ChatGPT to Type casting 🔒

Use ChatGPT to write strings 🔒

Use ChatGPT to write operators 🔒

Python Intermediate Using ChatGPT: Beyond the Basics

Use ChatGPT to write if else statements 🔒

Use ChatGPT to write while loop 🔒

Use ChatGPT to write for loop 🔒

Use ChatGPT to write a nested loop 🔒

Exercise and Solution for it (Pyramid pattern) 🔒

Python Games using ChatGPT AI

Use ChatGPT to write Guessing game 🔒

Use ChatGPT to write a Car racing game 🔒

Python OOPs Mastery: Advanced Concepts with ChatGPT

Use ChatGPT to write functions 🔒

Use ChatGPT to explain Object Oriented Programming 🔒

Use ChatGPT to write class object programs 🔒

Use ChatGPT to write inheritance 🔒

Use ChatGPT to write polymorphism 🔒

Use ChatGPT to write abstract classes 🔒

Use ChatGPT to write encapsulation 🔒

Python Pandas Using ChatGPT AI: Data Analysis Made Easy

What is Pandas and why is it essential for data analysis 🔒

Create Project, Installing and Importing Pandas 🔒

Pandas Create and Loading Data

What is Pandas Data Frame 🔒

Creating DataFrames Manually in Python Pandas 🔒

Mastering Data Import - Loading CSV Files with Pandas 🔒

Seamless Data Import - Loading Excel Files with Pandas 🔒

Working with JSON - Loading and Reading Data Using Pandas 🔒

Exploring Data Efficiently with Pandas: Key Techniques and Insights

Quick Data Preview - Retrieving the First 5 Rows in Pandas 🔒

Exploring Data - Retrieving the Last 5 Rows in Pandas 🔒

Identifying Data types and non-null values 🔒

Data Insights at a Glance - Generating Summary Statistics in Pandas 🔒

Navigating DataFrames - Retrieving Rows and Columns in Pandas 🔒

Understanding Your Data - Identifying Column Names in Pandas 🔒

Pandas Data Cleaning: Handling Missing Values, Duplicates, and Inconsistencies

Data Cleaning in Pandas - Preparing Your Data for Analysis 🔒

Renaming Columns on your report views 🔒

Changing Data Types on Loading DataFrame 🔒

Removing Duplicates from DataFrame data 🔒

Pandas Data Transformation

Applying Lambda Function 🔒

Pandas Data Aggregations and Grouping

Basic Aggregation Functions 🔒

Data Aggregation Made Easy - Mastering the GroupBy Function 🔒

Pandas Data Merging and Joining

Combining Data Efficiently - Merging Two DataFrames in Pandas 🔒

Pandas & Matplotlib Data Visualization

Bringing Data to Life - Data Visualization Charts with Pandas & Matplotlib 🔒

Requirements

No prior coding or analytics experience required—beginners are welcome!
A computer (Windows or Mac) with internet access
Basic familiarity with Microsoft Excel is helpful but not mandatory
Willingness to learn and apply data-driven decision-making
Enthusiasm to work with real-world datasets and AI-powered tools
Power BI (free or Pro version) and SQL installation recommended for hands-on practice - (step by step installation explained)

Description

Unlock the power of data and transform your decision-making with our Business Data Analytics Bootcamp. Designed for professionals and aspiring analysts, this comprehensive course will equip you with the essential skills to extract valuable insights from data using industry-leading tools like Excel, SQL, Power BI, Python, Pandas, Matplotlib, and ChatGPT AI.

Applying these tools to automate workflows, optimize performance, enhance decision-making, streamline operations, uncover trends, actionable insights, boost productivity, gain competitive advantage, transform data, business growth.

you will learn to apply how AI tools also will help you one solving your assignments and coding exercises

Throughout this hands-on journey, you’ll learn to clean, analyze, and visualize data, build interactive dashboards, and leverage AI-powered analytics to make smarter business decisions. Master SQL for efficient data extraction, use Power BI for compelling visual storytelling, and harness Python’s Pandas and Matplotlib for advanced analytics. Additionally, discover how AI-driven tools like ChatGPT can enhance your data interpretation and strategy-building capabilities.

update: you will know top ai tools for every professionals for productivity

Whether you're a business professional, aspiring data analyst, or entrepreneur, this bootcamp provides a practical, step-by-step approach to solving real-world business challenges with data. No prior coding experience? No problem! Our structured learning path ensures that both beginners and experienced professionals gain job-ready data analytics expertise.

Join thousands of learners who are taking their careers to the next level with AI-powered business analytics. Future-proof your career - Enroll now and start your journey toward becoming a data-driven decision-maker!

Who this course is for

Business professionals looking to enhance decision-making with data-driven insights
Aspiring data analysts who want to build job-ready skills in analytics
Entrepreneurs and startup founders aiming to leverage data for business growth
Marketing and sales professionals seeking to optimize strategies with AI-powered analytics
Finance and accounting professionals interested in data analysis for forecasting and reporting
Operations and supply chain managers wanting to streamline processes using data
IT professionals and developers looking to integrate data analytics into their skillset
Students and recent graduates eager to start a career in business analytics
Anyone interested in learning how to use AI and automation for business intelligence
Professionals looking to transition into data-driven roles in any industry

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₹15,000 96% off

This course includes:

🎥 5+ hours on-demand video
📱 Access on mobile and desktop
♾ Full lifetime access
🧠 Practical sessions
📜 Certificate of completion