Free Online Data Analysis Courses and
Certifications 2025
Data Analysis is the process of examining, transforming and modelling data to discover useful information, suggest conclusions and support decision-making. It is used in many fields such as business, finance, economics, engineering and science. People with an interest in data analysis can pursue courses in data science, machine learning, artificial intelligence and statistics.
Popular Courses
This course provides an introduction to data analysis in Excel. It covers the data analysis process, a framework to help transform raw data into useful information for decision-making. Learners will also explore a variety of functions to prepare text and date fields, as well as the VLOOKUP function to insert data from another table. Finally, learners will use a variety of functions to analyse Kickstarter data and gain insight into the characteristics of successful projects. This course is ideal for anyone looking to gain a better understanding of data analysis in Excel.
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This event, hosted by the Ada Lovelace Institute, explores the implications of predictive privacy harms, such as those that can arise when automated data algorithms are accurate but Orwellian, or when they are inaccurate and Kafkaesque. It provides an introduction to NCRM and the use of social science methods and automated data algorithms.
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Gain a comprehensive understanding of the pandas library and its capabilities with this introductory course to Master Data Analysis with Python. Learn the fundamentals of data analysis and gain the skills to start your journey in Python.
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This course provides an introduction to the fundamentals of model building and validation, helping learners understand the importance of data and how to use it to answer questions. Participants will gain the skills to start from scratch and build models to analyze data.
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This course provides an overview of how to combine Tableau and R to gain insights from data. Learn how to integrate these platforms and when to use each to maximize the potential of data science for your organization.
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This comprehensive Data Analysis with Pandas and Python course is the perfect choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries. With 19+ hours of in-depth video tutorials, you'll learn how to install, sort, filter, group, aggregate, de-duplicate, pivot, munge, delete, merge, and visualize data with Pandas. You'll also get dozens of datasets to practice with. Get ready to take your data analysis skills to the next level!
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This mentorship program provides absolute beginners with the opportunity to learn the fundamentals of data analysis from experienced professionals. It is designed to supplement online courses and provide a more comprehensive understanding of the field.
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This course provides an introduction to using SQL for exploratory data analysis. Through hands-on exercises, learners will gain the skills to use SQL to explore and understand data sets, preparing them for data science and machine learning.
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This course provides an introduction to the field of data analysis and visualization, covering the latest modeling, analysis, and visualization techniques. Students will gain an understanding of the fundamentals of data analysis and visualization.
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This Database Design course is perfect for anyone looking to learn the fundamentals of relational database design. It starts off by introducing the concept of a database and how it differs from a spreadsheet, website, filing cabinet, and so forth. It then dives into SQL and data definition language and data manipulation language. After that, the course covers entities and attributes and how to structure tables and relationships. It also explains in depth how to design all of the relationships. With examples of popular databases such as MySQL, Oracle, Microsoft SQL Server, PostgreSQL, SQLite, and MariaDB, this course is perfect for anyone looking to learn the fundamentals of relational database design.
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This course provides an introduction to Structured Query Language (SQL) and its use in data analysis. Experienced instructors will guide learners through the fundamentals of SQL, providing practical knowledge and skills to extract and analyse data stored in databases.
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This course teaches how to use the powerful combination of Tableau and R to analyse and present data more effectively. Students will gain an understanding of the analytical capabilities of R and the visualisation power of Tableau.
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Udacity's online Data Analyst Course provides the tools and knowledge needed to become a data analyst, including Python, SQL, and statistics. With this course, you can uncover insights and create data-driven solutions.
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This course introduces students to Natural Language Processing (NLP) and its application in the Capstone Project. Students will learn to apply technical and business techniques to gain business insight, competitive intelligence, and consumer sentiment.
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This weekly series provides an introduction to the R programming language, covering language features, development tools, and libraries to help make programming more efficient. Take a break from your day and learn R with these Lunchbreak Lessons.
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This Autumn School 2017 focuses on the integration of biological and social science data, with the expertise of Understanding Society. It covers topics such as ethics, social media research, users' views, the NatCen panel, and transforming the Census. It also provides practical and methodological challenges to participants.
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Frequently Asked Questions and Answers
Q1: How to start in data analysis?
The Data Analysis Process in 7 Steps: Begin your journey into data analysis by setting clear objectives. Gather data from a variety of sources and clean it to ensure accuracy. Utilize data analysis tools to integrate the data and analyze it. Visualize the data to gain insights and draw conclusions. Finally, use the results to inform your decisions and strategies. With these steps, you can effectively analyze data and make informed decisions.
Q2: What are the basics of data analysis?
Data analysis is a powerful tool for businesses to gain insight into their operations and make informed decisions. It involves a range of processes such as data cleansing, transforming, inspecting and modelling to uncover hidden patterns and trends in data. This can be used to perform market analysis, identify opportunities for growth, and generate reports to help inform strategic decisions. Additionally, data analysis can be used to improve business processes, identify areas of inefficiency, and develop strategies for improvement.
Q3: What Data Analysis courses can I find on OeClass?
On this page, we have collected free or certified 753 Data Analysis online courses from various platforms. The list currently only displays up to 50 items. If you have other needs, please contact us.
Q4: Can I learn Data Analysis for free?
Yes, If you don’t know Data Analysis, we recommend that you try free online courses, some of which offer certification (please refer to the latest list on the webpage as the standard). Wish you a good online learning experience!
