Certifications Guide: Working with Data
Working with Data
Use the list below to find free and free-to-audit courses and certifications to help build your skills in working with data. For related articles, eBooks and guides, see our Data Learning Materials page.
| Certification | Provider | Description | Time to complete |
|---|---|---|---|
| Applied Data Science with Python Specialization | Coursera | Learn to analyze data and build models using Python tools like pandas, Matplotlib, and scikit-learn, with hands-on projects. |
160 hours |
| Python Data Structures | Coursera | Move beyond the basic of programming in Python and explore the built-in core data structures such as lists, dictionaries and tuples for data analysis. This is the follow up course to Programming for Everybody. |
19 hours |
| Data Management and Visualization | Coursera | Learn how to harness data to drive success with this introduction to data visualization. The course will first ask you to consider what data is and what questions can be answered using data, and then moves into how to develop a research question describe variables and relationships between variables, basic statistics, and how to present results. Lastly you will learn how to use SAS or Python to manage and visualize your data. |
12 hours |
| Data Visualization | freeCodeCamp | This intensive certification program covers how create data visualizations in D3, the JSON APIs and Ajax challenges, and data visualization projects to help you practice your skills. |
300 hours |
| Understanding and Visualizing Data with Python | Coursera | Explore how to use Python for statistics and learn about study design, data management, and data visualization. In this course you will learn to determine different types of data, how to visualize, analyze and interpret summaries for univariate and multivariate data, and probability and non-probability sampling. Apply what you learn in Python each week in hands-on, lab-based sessions. |
20 hours |
| Google Data Analytics Professional Certificate | Coursera | A beginner-friendly program by Google covering data cleaning, analysis, and visualization using spreadsheets, SQL, R, and Tableau. Includes hands-on projects and a shareable certificate, preparing learners for entry-level data analyst roles. |
240 hours |
| Python Data Visualization | Coursera | Advance your Python skills and learn to apply them to data analysis. In this course you will learn how to install external packages for Python, acquire data sources, and clean, process, analyze, and visualize data. |
9 hours |
| IBM Data Analyst Professional Certificate | Coursera | Learn how to organize, study, and present data using tools like Excel, Python, and SQL, with step-by-step practice projects. |
160 hours |
| Excel Skills for Business Specialization | Coursera | Learn to analyze and present data effectively. Covers key topics like data entry, formulas, charts, and basic automation. |
120 hours |
| Business Analytics Specialization | UPenn | Develop skills in analyzing business data, uncovering insights, and applying them to solve real business problems. |
40 hours |