How To Become 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.

Statistical Analysis Tutorials In Jamovi

Unlock the power of data with Jamovi, a free and beginner-friendly statistical software that makes data analysis accessible to everyone. This hands-on course guides you step by step through essential statistical techniques — no prior experience required. Whether you’re a student, researcher, professional, or aspiring statistician, you’ll gain the practical skills to analyze real data and draw meaningful conclusions.

Python for Data Analysis In Industry

For many people trying to pivot into a Data role, Python may not be your first programming language. You might be more familiar with R, or have little programming experience at all, having worked primarily with tools like SPSS or Jamovi. However, Python is the most commonly expected language in industry, and is a core skill employers look for when hiring for Data roles.

Categorical Data Analysis In R

Traditional statistical methods such as t-tests, ANOVA, and linear regression are designed primarily for continuous numerical outcomes. However, many real-world datasets consist of categories, counts, frequencies, and percentages rather than continuous measurements.