Data Analysis Courses and Certifications

Data Analysis with Excel Power Tools

Supercharge your Excel skills with Excel Power Tools: Master Power Query, Power Pivot, and the dynamic M Language.

• DataCamp
• 9 hours
• Self-Paced
• Free Trial Available

This interactive DataCamp course complements the Coursera course Data Analysis and Statistical Inference by Mine Çetinkaya-Rundel.

• DataCamp
• Self-Paced
• Free Trial Available

Gen AI for Data Analysis – ChatGPT, Claude & Gemini Compared

Learn how to use generative AI tools like ChatGPT, Claude, and Gemini to perform real-world financial forecasting and analysis

• Corporate Finance Institute
• 34 minutes
• Self-Paced
• Paid Course

Introduction to Accounting Data Analytics and Visualization

456 ratings at Coursera

Develop analytical skills for big data in accounting, covering data assembly, visualization, and analysis using Excel, Tableau, and VBA. Learn to apply the FACT framework for data-driven decision-making in various accounting subdomains.

• Coursera
• 20 hours 46 minutes
• Self-Paced
• Paid Course

Alex the Analyst

Data Analyst Bootcamp

15 ratings

Master SQL, Excel, Tableau, Power BI, and Python for data analysis. Gain practical skills through hands-on projects and build a professional portfolio to launch your career.

• YouTube
• 20 hours
• Self-Paced
• Free Video

Credential

Data Analytics in the Public Sector with R

121 ratings at Coursera

Equip yourself with R programming skills to analyze public sector data, informing policy decisions and administrative functions through data manipulation, visualization, and interpretation.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course

Credential

Data Science Fundamentals

264 ratings at Coursera

Demystify data science through key skills, techniques, and concepts. Explore analytics, statistical modeling, data engineering, big data manipulation, and data mining algorithms.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Sampling People, Networks and Records

110 ratings at Coursera

Explore rigorous sampling methods for research, including random, cluster, stratified, and multistage techniques. Learn to select representative samples and estimate uncertainty in data collection.

• Coursera
• 1 day 1 hour 40 minutes
• Self-Paced
• Paid Course

Data – What It Is, What We Can Do With It

183 ratings at Coursera

Explore data analysis fundamentals, including theory development, causal inference, descriptive statistics, and data visualization. Gain essential tools for interpreting and evaluating data-driven insights across various fields.

• Coursera
• 11 hours 7 minutes
• Self-Paced
• Paid Course

Go Beyond the Numbers: Translate Data into Insights

908 ratings at Coursera

Discover data storytelling techniques, perform exploratory data analysis, and create effective visualizations using Python and Tableau to translate raw data into actionable insights.

• Coursera
• 1 day 3 hours 30 minutes
• Self-Paced
• Paid Course

Intro to Analytic Thinking, Data Science, and Data Mining

158 ratings at Coursera

Explore data science fundamentals, ethical considerations, and business applications. Learn CRISP-DM, analytics types, and practical problem-solving using data science tools and techniques.

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

Python Data Visualization

549 ratings at Coursera

Master Python data visualization techniques, from package installation to creating impactful graphics using Pygal. Develop skills in data acquisition, cleaning, analysis, and visualization for practical applications.

• Coursera
• 8 hours 38 minutes
• Self-Paced
• Paid Course

Credential

How to Use Data

5 ratings at Coursera

Master essential data analytics skills from SQL and Python to predictive modeling and Tableau, enabling you to transform raw data into actionable business insights and compelling visualizations.

• Coursera
• 8 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 3 courses

Intro to Data Analytics, SQL, and EDA Using Python

Master data analytics fundamentals through SQL and Python, covering data types, big data concepts, database management, and exploratory analysis techniques for real-world problem-solving and visualization.

• Coursera
• 16 hours 46 minutes
• Self-Paced
• Paid Course

Knowledge Inference and Structure Discovery for Education

Learn how to discover domain structure for knowledge inference.

• edX
• 3 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course