Data Analysis Courses and Certifications

Data Analysis with Polars

594 ratings at Udemy

"A thorough introduction to Polars" - Ritchie Vink, creator of Polars - over 3,000 learners to date!

• Udemy
• 4 hours 47 minutes
• Self-Paced
• Paid Course

Learn to code for data analysis

62 ratings at OpenLearn

This free course will teach you how to write your own computer programs, one line of code at a time. You'll learn how to access open data, clean and analyse it, and produce visualisations. You will...

• OpenLearn
• 24 hours
• Self-Paced
• Free Certificate

Introduction to Data Science in Python

46 ratings

Learn Python fundamentals, data manipulation with pandas, and basic statistical analysis. Gain practical skills in cleaning, processing, and analyzing tabular data for data science applications.

• Coursera
• 1 day 6 hours 25 minutes
• Self-Paced
• Paid Course

Career Certificate

Excel to MySQL: Analytic Techniques for Business

15321 ratings at Coursera

Learn to analyze data, create forecasts, design visualizations, and communicate insights using Excel, Tableau, and MySQL. Apply skills to optimize real-world business processes in a capstone project.

• Coursera
• 24 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 5 courses

Learn to code for data analysis

68 ratings at OpenLearn

Learn Python programming to analyze and visualize open data. Access, clean, and interpret data from global organizations using Jupyter Notebooks, developing practical skills for data analysis.

• OpenLearn
• 24 hours
• Self-Paced
• Free Certificate

Data Analysis with Python

3 ratings

A practical introduction to data analysis using a large number of programming exercises and a project delving into the realm of a selected field of science.

• Independent
• 7 weeks, 5-20 hours a week
• Self-Paced
• Free Online Course

Data Analysis with Python Course - Numpy, Pandas, Data Visualization

3 ratings

Comprehensive introduction to Python data analysis: learn NumPy, Pandas, data visualization, and exploratory analysis through hands-on projects and real-world applications.

• freeCodeCamp
• 10 hours
• Self-Paced
• Free Video

jamovi for Data Analysis - Full Tutorial

3 ratings

Comprehensive tutorial on using jamovi for data analysis, covering data wrangling, exploration, statistical tests, regression, and factor analysis. Ideal for beginners transitioning from SPSS to R-based analytics.

• freeCodeCamp
• 4-5 hours
• Self-Paced
• Free Video

The Data Scientist’s Toolbox

166 ratings

Introduction to key data science tools and concepts, covering R, RStudio, version control, and data analysis fundamentals for actionable insights.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

R Programming

246 ratings

Aprenda a programar em R para análise eficaz de dados, incluindo instalação de software, conceitos de programação, funções R, depuração e organização de código.

• Coursera
• 57 hours
• Self-Paced
• Paid Course

NumPy, Pandas, & Python for Data Analysis: A Complete Guide

406 ratings at Udemy

Learn Data Analysis Techniques with Python, NumPy, and Pandas: From Data Cleaning to Advanced Visualization

• Udemy
• 4 hours 41 minutes
• Self-Paced
• Paid Course

Data Analysis Bootcamp: Master Data Science Skills

393 ratings at Udemy

Learn Data Analysis With Python, Jupyter, Pandas, Dropna - Learn Data Cleaning, Visualization, and Modeling

• Udemy
• 6 hours 30 minutes
• Self-Paced
• Paid Course

Ask Questions to Make Data-Driven Decisions

35356 ratings at Coursera

The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs.

• Coursera
• 15 hours 18 minutes
• Self-Paced
• Paid Course

Data Analysis & Business Intelligence: SQL MySQL Power BI

292 ratings at Udemy

Practical Data Analytics & Business Intelligence with: MySQL SQL MicrosoftSQL PostgreSQL Excel Power BI Tableau

• Udemy
• 12 hours 21 minutes
• Self-Paced
• Paid Course

Python for Data analysis

273 ratings at Udemy

Learn data cleaning, manipulation, statistics, and visualization using Python and the Python Pandas library

• Udemy
• 5 hours 31 minutes
• Self-Paced
• Paid Course