Business Data Analytics Bootcamp: Master Ai-Powered Insights

Transform & Visualize Data with Excel, SQL, Power BI, Python, Pandas, Matplotlib & ChatGPT AI for Business Decisions

What you'll learn

Understand the fundamentals of business data analytics and AI-driven insights

Learn how AI, including ChatGPT, enhances data interpretation and decision-making

Master essential Excel functions for data cleaning, analysis, and visualization

Utilize PivotTables, Power Query, and advanced formulas for efficient data handling

Write SQL queries to extract, filter, and manipulate data from databases

Perform joins, aggregations, and advanced queries for deeper insights

Create interactive dashboards and reports using Power BI

Connect multiple data sources and apply DAX functions for advanced analytics

Learn Python basics and apply Pandas for data manipulation

Use Matplotlib for data visualization and trend analysis

Automate data analysis and reporting using ChatGPT

Generate AI-driven insights to optimize business strategies

Work on hands-on projects with real-world business datasets

Apply data analytics to solve practical business challenges and drive decision-making

Build a portfolio of analytics projects for job applications

Learn industry best practices to stay competitive in the data-driven world

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.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.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!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Start on windows, macOS, and Linux

Lecture 3 How to ask great questions

Lecture 4 FAQs

Section 2: Introduction to Business Data Analytics

Lecture 5 What is Business Analytics

Lecture 6 Importance of data analytics in decision-making

Lecture 7 Real-world applications of Business Analytics

Lecture 8 Overview of tools: Excel, SQL, Power BI, Python (Pandas)

Section 3: Excel Data Basics

Lecture 9 Worksheet basics

Lecture 10 Data structuring and formulas

Lecture 11 Data formats

Lecture 12 Data handling basics – cut copy and paste

Lecture 13 Save and print in excel

Lecture 14 Excel Ranges

Lecture 15 Mastering Excel with ChatGPT: AI-Powered Productivity and Automation

Section 4: Excel Formulas and Functions

Lecture 16 Basic formula operations

Lecture 17 Mathematical functions level1

Lecture 18 Mathematical functions level2

Lecture 19 Text functions level1

Lecture 20 Text functions level2

Lecture 21 Logical functions (AND, OR, XOR)

Lecture 22 Date time functions

Lecture 23 Lookup function - VLOOKUP

Lecture 24 Lookup function - HLOOKUP

Lecture 25 HLOOKUP + Match formula

Lecture 26 Match + Index formula Combination

Section 5: Excel XLOOKUP only for Excel 2021 and Office 365

Lecture 27 Lookup function - XLOOKUP

Lecture 28 Handling #NA and Approximates match in XLOOKUP

Lecture 29 Wildcard matching in XLOOKUP

Section 6: Excel Data Transforming and Importing

Lecture 30 Split Text into columns

Lecture 31 Flash Fill

Lecture 32 Remove Duplicates

Lecture 33 Data Validation

Lecture 34 Get- import Data from Text

Lecture 35 Get - import Data from CSV

Section 7: Excel Data Formatting and Table Design

Lecture 36 Formatting Font

Lecture 37 Formatting Alignment

Lecture 38 Formatting Number

Lecture 39 Formatting Date

Lecture 40 Formatting tables

Section 8: Excel Data Analysis with PivotTables

Lecture 41 Creating PivotTables for summarization

Lecture 42 Value field settings

Lecture 43 Number format

Lecture 44 Pivot Table Design

Section 9: Excel Charts and Data Visualization

Lecture 45 Excel Charts – Categories

Lecture 46 Elements of a chart

Lecture 47 Creating dynamic charts

Lecture 48 Column or Bar charts

Lecture 49 Formatting charts

Lecture 50 Line charts

Lecture 51 Area charts

Lecture 52 Pie and Doughnut charts

Lecture 53 Format Area Plot or XY chart

Lecture 54 Scatter or bubble charts

Section 10: Microsoft SQL Server setting up

Lecture 55 Microsoft SQL Server Installation

Lecture 56 SQL Server Management Studio (SSMS) Installation

Lecture 57 Connecting MS SQL (Windows Authentication)

Lecture 58 Connecting MS SQL (SQL Server Authentication)

Lecture 59 Download and Restore Sample Database

Lecture 60 Mastering SQL with ChatGPT: AI-Powered Skills and Automation

Section 11: SQL Azure Data Studio

Lecture 61 What is Azure Data Studio

Lecture 62 Azure Data Studio Installation steps

Lecture 63 Azure Data Studio to Connect SQL Server

Lecture 64 Create a Database

Lecture 65 Create a Table

Lecture 66 Insert Data rows

Lecture 67 Getting Data using SQL Query

Section 12: SQL Database Basics: Getting Started with SSMS

Lecture 68 Overview of Databases

Lecture 69 Creating Database

Lecture 70 SQL Data Types

Lecture 71 Column Data Types on SSMS

Lecture 72 Creating Table

Lecture 73 Overview of Primary Key and Foreign Key

Lecture 74 Primary Key

Lecture 75 Foreign Key

Lecture 76 Creating Temporary tables

Section 13: SQL Statements for Data: Querying, Modifying, and Managing Information

Lecture 77 Insert query statement

Lecture 78 Update (Modifying) query statement

Lecture 79 Delete query statement

Section 14: SQL Statements Basic

Lecture 80 SQL Statement basic

Lecture 81 SELECT Statement

Lecture 82 SELECT DISTINCT for UNIQUE data reports

Lecture 83 SELECT with column custom Titles

Lecture 84 Column AS statement

Section 15: Data Management: Data Filtering

Lecture 85 SELECT WHERE Clause – theory

Lecture 86 SELECT WHERE Clause – practical

Section 16: Data Management: Aggregate functions

Lecture 87 Mastering SUM(): Aggregating Data in SQL

Lecture 88 MIN() & MAX(): Finding the Smallest and Largest Values in SQL

Section 17: Data Management: SQL Conditional Clause Query statements

Lecture 89 Order By statement

Lecture 90 SELECT TOP clause in SQL

Lecture 91 BETWEEN command

Lecture 92 IN operator

Lecture 93 Wildcard Characters and LIKE

Section 18: Data Management: SQL Group by statement

Lecture 94 Group by – theory

Lecture 95 Group by – practical

Lecture 96 HAVING statement

Section 19: Data Management: JOINS in SQL - Combining Data Across Tables

Lecture 97 Overview of JOINS in SQL

Lecture 98 Understanding JOINS: Combining Data Across Tables

Lecture 99 INNER JOIN: Retrieving Data from Multiple Tables

Lecture 100 LEFT JOIN: Retrieving All Records from Left Table

Lecture 101 Right JOIN in SQL: Retrieving Data from the Right Table

Lecture 102 FULL OUTER JOIN: Combining Results from Both Tables

Lecture 103 CROSS JOIN in SQL: Producing Cartesian Products

Section 20: SQL Server Azure Data Studio Visualization

Lecture 104 Installing SandDance Extension

Lecture 105 Visualization Charts

Lecture 106 Multiple Table Data Charts

Section 21: SQL Server Azure Studio SQL for Data Analysis

Lecture 107 Type Decision for Data Analysis

Lecture 108 Data Analysis with Case Statement and String Text

Section 22: SQL Server Importing & Exporting data

Lecture 109 Importing Text - Flat File

Lecture 110 Importing CSV or Excel file

Lecture 111 Export Data to Excel or any format

Section 23: SQL Server Secure Backup and Restore Database

Lecture 112 Creating Secure Database backup

Lecture 113 Restoring Secure backup Database

Section 24: Microsoft Power BI - Introduction

Lecture 114 Business Intelligence and Power BI

Lecture 115 Overview of Power BI

Lecture 116 Importance of Data Visualization

Lecture 117 Components of Power BI

Lecture 118 Mastering Power BI with ChatGPT: AI-Powered Insights & Automation

Section 25: Power BI - Setting up Desktop Environment

Lecture 119 Downloading and Installing Power BI Desktop

Lecture 120 Overview of Power BI Desktop Interface

Lecture 121 Basic Settings and Navigation

Section 26: Power BI - Connecting and Shaping Data

Lecture 122 Types of Data Sources (Excel, SQL Server, Web Data, etc.)

Lecture 123 Connecting Power BI to Excel and CSV Files

Lecture 124 Using Power Query to Transforming Data

Lecture 125 Introduction to Power Query Editor

Lecture 126 Cleaning and Shaping Data

Lecture 127 Combining and Merge (Join) in Power Query

Lecture 128 Managing Relationships Between Data Tables

Section 27: Power BI - Data Modelling

Lecture 129 Overview of Data Modelling

Lecture 130 Creating Relationships Between Tables

Lecture 131 Optimizing Data Models with Relationships

Lecture 132 Best Practices for Data Modelling

Section 28: Power BI - Data Analysis Expressions (DAX)

Lecture 133 Basics of Data Analysis Expressions (DAX)

Lecture 134 Create Calculated Columns using DAX formula

Lecture 135 Create Measures using DAX formula

Lecture 136 Use DAX Calculations in Visualizations

Lecture 137 DAX Functions for Aggregations

Lecture 138 Filtering and Conditional Calculations

Section 29: Power BI - DAX - Time Intelligence Functions

Lecture 139 Prepare Data for functions

Lecture 140 Year-to-Date (YTD) Sales

Lecture 141 Month-to-Date (MTD) Sales

Lecture 142 Quarter-to-Date (QTD) Sales

Lecture 143 Year-Over-Year (YOY) Growth

Lecture 144 Use Measures in Visualizations

Section 30: Power BI - Data Visualization

Lecture 145 Types of Visualizations in Power BI

Lecture 146 Creating Bar Charts

Lecture 147 Creating Pie Charts

Lecture 148 Creating Tables and Formatting

Section 31: Power BI - Interactive Dashboards (SALES data - case study)

Lecture 149 Best Practices for Dashboard Design

Lecture 150 Loading Dashboard sample data

Lecture 151 Total Revenue Card for Dashboard

Lecture 152 Revenue by Region Bar Chart for Dashboard

Lecture 153 Units Sold Over Time Line Chart for Dashboard

Lecture 154 Product Distribution Pie Chart for Dashboard

Lecture 155 Adding Slicers for Interactive Dashboard

Lecture 156 Save and Publish the Dashboard

Section 32: Power BI - Export - Publishing and Sharing

Lecture 157 Export Power BI template

Lecture 158 Export to Create PDF file

Lecture 159 Publishing to Power BI Service

Lecture 160 Sharing Reports and Dashboards

Section 33: Power BI - Mobile App Reporting

Lecture 161 Design Mobile Dashboard layouts

Lecture 162 Viewing Reports on mobile Devices

Section 34: ChatGPT Open AI - Introduction

Lecture 163 What is ChatGPT AI

Lecture 164 Set up an account with ChatGPT

Lecture 165 How to use ChatGPT GEN AI

Lecture 166 ChatGPT for your day-to-day tasks

Section 35: Python Setting up Local Development Environment

Lecture 167 Python App Installation step by step

Lecture 168 Python Code Editor IDE (PyCharm) Installation

Lecture 169 Getting started First Python project

Lecture 170 First Welcome “Hello World” program

Section 36: Python Basics Using ChatGPT AI for Fast Learning

Lecture 171 Use ChatGPT to write variables

Lecture 172 Use ChatGPT to write datatypes

Lecture 173 Use ChatGPT to write Type casting

Lecture 174 Use ChatGPT to write strings

Lecture 175 Use ChatGPT to write operators

Section 37: Python Intermediate Using ChatGPT: Beyond the Basics

Lecture 176 Use ChatGPT to write if else statements

Lecture 177 Use ChatGPT to write while loop

Lecture 178 Use ChatGPT to write for loop

Lecture 179 Use ChatGPT to write a nested loop

Lecture 180 Exercise and Solution for it (Pyramid pattern)

Section 38: Python Games using ChatGPT AI

Lecture 181 Use ChatGPT to write Guessing game

Lecture 182 Use ChatGPT to write a Car racing game

Section 39: Python OOPs Mastery: Advanced Concepts with ChatGPT

Lecture 183 Use ChatGPT to write functions

Lecture 184 Use ChatGPT to explain Object Oriented Programming

Lecture 185 Use ChatGPT to write class object programs

Lecture 186 Use ChatGPT to write inheritance

Lecture 187 Use ChatGPT to write polymorphism

Lecture 188 Use ChatGPT to write abstract classes

Lecture 189 Use ChatGPT to write encapsulation

Section 40: Python Pandas Using ChatGPT AI: Data Analysis Made Easy

Lecture 190 What is Pandas and why is it essential for data analysis?

Lecture 191 Installing and Importing Pandas

Section 41: Pandas Create and Loading Data

Lecture 192 What is Pandas Data Frame

Lecture 193 Creating DataFrames Manually in Python Pandas

Lecture 194 Mastering Data Import: Loading CSV Files with Pandas

Lecture 195 Seamless Data Import: Loading Excel Files with Pandas

Lecture 196 Working with JSON: Loading and Reading Data Using Pandas

Section 42: Exploring Data Efficiently with Pandas: Key Techniques and Insights

Lecture 197 Quick Data Preview: Retrieving the First 5 Rows in Pandas

Lecture 198 Exploring Data: Retrieving the Last 5 Rows in Pandas

Lecture 199 Identifying Data types and non-null values

Lecture 200 Data Insights at a Glance: Generating Summary Statistics in Pandas

Lecture 201 Navigating DataFrames: Retrieving Rows and Columns in Pandas

Lecture 202 Understanding Your Data: Identifying Column Names in Pandas

Section 43: Pandas Data Cleaning: Handling Missing Values, Duplicates

Lecture 203 Data Cleaning in Pandas: Preparing Your Data for Analysis

Lecture 204 Renaming Columns on your report views

Lecture 205 Changing Data Types on Loading DataFrame

Lecture 206 Removing Duplicates from DataFrame data

Section 44: Pandas Data Transformation

Lecture 207 Applying Lambda Function

Section 45: Pandas Data Aggregations and Grouping

Lecture 208 Basic Aggregation Functions

Lecture 209 Data Aggregation Made Easy: Mastering the GroupBy Function

Section 46: Pandas Data Merging and Joining

Lecture 210 Combining Data Efficiently: Merging Two DataFrames in Pandas

Section 47: Pandas & Matplotlib Data Visualization

Lecture 211 Bringing Data to Life: Data Visualization Charts with Pandas & Matplotlib

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