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How To Become a Data Analyst: Toolkit 101

How To Become a Data Analyst: Toolkit 101

Master Excel, Power BI, Tableau & Python by solving the same real-world problems across all four tools.
Created byStat Hacks
Last updated 8/2025
English

What you'll learn

  • Learn about basic data analysis tools such as Excel, PowerBI, Tableau, and Python
  • Understand how the various tools differ in their specialties
  • Be able to derive actional business insights from a given dataset
  • Understand how to do effective data visualisation
  • Experience a Pre-Employment Sample Technical Test for Data Analysts

Course content

7 sections31 lectures2h 44m total length
  • Course Introduction4:14

Requirements

  • Interest to become a Data Analyst

Description

Want to stand out as a data analyst?

This course gives you hands-on experience with completely FREE versions of Excel, Power BI, Tableau, and Python — and download instructions are provided, so you can follow along step by step without any cost. You’ll tackle the same set of real-world problems across all four platforms, compare methods, understand each tool’s strengths and limitations, and decide which one is best for the task at hand.

You’ll learn how to:

  • Identify top-performing and underperforming tenants from raw sales data

  • Create insightful charts to visualize customer trends

  • Calculate key metrics like total daily footfall, total revenue, and total profits

  • Present findings in clear, compelling dashboards and reports that impress employers

To make your preparation even more practical, you’ll also get a sample technical test — just like the ones used in real analyst job interviews — so you can put your skills to the test before the big day.

By the end of this course, you’ll have a multi-tool data analytics skillset you can confidently showcase in portfolios, interviews, and on the job. Whether you’re aiming for your first analyst role or leveling up your current career, this course equips you with the skills, practice, and confidence to handle complex datasets, communicate insights clearly, and make data-driven decisions with measurable impact.

Course Image Photo by Nick Morrison on Unsplash — many thanks to you!

Who this course is for:

  • Beginners hoping to become a Data Analyst