Course Information
Course Overview
Transform & Visualize Data with Excel, SQL, Power BI, Python, Pandas, Matplotlib & ChatGPT AI for Business Decisions
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!
Course Content
- 48 section(s)
- 212 lecture(s)
- Section 1 Introduction
- Section 2 Introduction to Business Data Analytics
- Section 3 Master the Future Essential AI Tools for Every Professional
- Section 4 Excel Data Basics
- Section 5 Excel Formulas and Functions
- Section 6 Excel XLOOKUP only for Excel 2021 and Office 365
- Section 7 Excel Data Transforming and Importing
- Section 8 Excel Data Formatting and Table Design
- Section 9 Excel Data Analysis with PivotTables
- Section 10 Excel Charts and Data Visualization
- Section 11 Microsoft SQL Server setting up
- Section 12 SQL Azure Data Studio
- Section 13 SQL Database Basics: Getting Started with SSMS
- Section 14 SQL Statements for Data: Querying, Modifying, and Managing Information
- Section 15 SQL Statements Basic
- Section 16 Data Management: Data Filtering
- Section 17 Data Management: Aggregate functions
- Section 18 Data Management: SQL Conditional Clause Query statements
- Section 19 Data Management: SQL Group by statement
- Section 20 Data Management: JOINS in SQL - Combining Data Across Tables
- Section 21 SQL Server Azure Data Studio Visualization
- Section 22 SQL Server Azure Studio SQL for Data Analysis
- Section 23 SQL Server Importing & Exporting data
- Section 24 SQL Server Secure Backup and Restore Database
- Section 25 Microsoft Power BI - Introduction
- Section 26 Power BI - Setting up Desktop Environment
- Section 27 Power BI - Connecting and Shaping Data
- Section 28 Power BI - Data Modelling
- Section 29 Power BI - Data Analysis Expressions (DAX)
- Section 30 Power BI - DAX - Time Intelligence Functions
- Section 31 Power BI - Data Visualization
- Section 32 Power BI - Interactive Dashboards (SALES data - case study)
- Section 33 Power BI - Export - Publishing and Sharing
- Section 34 Power BI - Mobile App Reporting
- Section 35 ChatGPT Open AI - Introduction
- Section 36 Python Setting up Local Development Environment
- Section 37 Python Basics Using ChatGPT AI for Fast Learning
- Section 38 Python Intermediate Using ChatGPT: Beyond the Basics
- Section 39 Python Games using ChatGPT AI
- Section 40 Python OOPs Mastery: Advanced Concepts with ChatGPT
- Section 41 Python Pandas Using ChatGPT AI: Data Analysis Made Easy
- Section 42 Pandas Create and Loading Data
- Section 43 Exploring Data Efficiently with Pandas: Key Techniques and Insights
- Section 44 Pandas Data Cleaning: Handling Missing Values, Duplicates
- Section 45 Pandas Data Transformation
- Section 46 Pandas Data Aggregations and Grouping
- Section 47 Pandas Data Merging and Joining
- Section 48 Pandas & Matplotlib Data Visualization
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, Discover and use the top AI tools that every professional should know
Skills covered in this course
Reviews
-
NNosisa Bennedict Nikelo
Intro breaks down everything related to the learning expectation.
-
NNguyen Luong Toan
They teach very little. It's all just chatgpt. Don't buy this course.
-
RRaghavendra K
It was a very good course.
-
AAtul Ganatra
The instructor's delivery could be better - At times, the error troubleshooting is happening in the recorded lecture (that could be avoided through re-recording). More importantly, would have liked to see a few more functions such as Conditional Formatting, importomg data from various others sources, transforming etc. as well as Excel quick tips (key combinations for some commonly used operations).