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Data Analytics Bootcamp with Microsoft Excel and ChatGPT
Role Play
Rating: 4.2 out of 5(3 ratings)
21 students

Data Analytics Bootcamp with Microsoft Excel and ChatGPT

Data Analyst Course: Data Analytics Bootcamp: A Complete Data Analyst Course with Microsoft Excel & ChatGPT
Last updated 1/2026
English

What you'll learn

  • Understand how data analytics works in real businesses
  • Use Excel with confidence for data work
  • Clean and prepare raw datasets
  • Sort, filter, and format data tables
  • Work with data types and text tools
  • Use IF formulas and logic rules
  • Apply SUM, COUNT, and lookup formulas
  • Connect data using VLOOKUP and XLOOKUP
  • Use Power Query to load and shape data
  • Join and merge data tables
  • Create Pivot Tables for reports
  • Design charts and dashboards
  • Use slicers and timelines for reports
  • Use ChatGPT to help with formulas and learning
  • Present data in a clear and simple way

Course content

11 sections50 lectures15h 39m total length
  • Data Analytics Guide with Microsoft Excel and ChatGPT (Promo)1:58
  • What is Data Analytics?9:16
  • How it Works?9:18
  • Tools For Data Analytics5:41

Requirements

  • A computer or laptop
  • Microsoft Excel installed
  • Basic computer skills
  • Willingness to practice with datasets
  • No prior data or coding knowledge required

Description

If you want to move into a data analyst role, grow in your current job, or feel confident working with data, this data analytics bootcamp is designed to guide you step by step from the basics to real-world skills used in business today.

This course is not just about learning tools. It is about learning how to think like a data analyst.

You will start by understanding what data analytics is, how companies use it to make decisions, and what skills employers expect from a modern analyst. From there, you will work inside Microsoft Excel and Power Query to clean, shape, and organize raw data into clear and useful reports.

Many people know how to enter numbers into Excel. Very few know how to turn messy data into answers. That is what this course teaches.

You will learn how to:

  • Fix broken datasets

  • Remove errors and blanks

  • Sort and filter large tables

  • Create smart formulas

  • Use lookups to connect data across sheets

  • Build Pivot Tables that tell a clear story

  • Create charts and dashboards that decision-makers can understand

You will also see how ChatGPT can support your work. You will learn how to ask better questions, get formula help, and speed up your workflow when working with reports and analysis.

This course follows a hands-on path. You will not just watch videos. You will work with real datasets, solve common business problems, and practice the same steps used in offices, startups, and analytics teams.

By the end of this data analytics tutorial, you will be able to take raw data from files or the web, clean it, connect it, analyze it, and present it in a way that makes sense to managers, clients, and teams.

If you skip this course, you may continue to:

  • Feel unsure when asked to work with large spreadsheets

  • Struggle to explain what the data actually means

  • Depend on others to fix or analyze reports

  • Miss job roles that ask for data analyst skills

Students who complete this course often walk away with:

  • Confidence in Excel and data tools

  • A clear method to analyze any dataset

  • Practical skills that match real job tasks

  • A strong base for interviews and career growth

This data analyst course is suited for beginners who want a clear start and working professionals who want to sharpen their skills without learning complex coding.

If your goal is to earn a data analytics certification in the future, this course gives you the solid base you need to understand tools, logic, and real-world workflows before moving into advanced systems.

This is not about theory alone. This is about being able to open a dataset and say, “I know what to do next.”

Who this course is for:

  • Beginners wanting to learn data analytics from scratch.
  • Professionals looking to boost their career by adding data analytics to their skill set.
  • Small business owners and entrepreneurs who want to make data-driven decisions.
  • Students interested in learning how to work with Excel efficiently.
  • Anyone who wants to automate data processes using AI tools like ChatGPT.