40 Best Free Online Courses For Data Science For Beginners In 2024
Are you a data science beginner and looking for the Best Free Online Courses for Data Science for Beginners? If yes, then you are in the right place. In this article, I have listed best free online courses for data science for beginners.
For these courses, you don’t need to pay a single buck. So, give a few minutes to this article and find out the best free online courses for data science for beginners. Now, without any further ado, let’s get started-
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Data science is a rapidly growing field with many career opportunities. Data scientists are at the forefront of solving complex problems using data-driven approaches, from predicting market trends to developing personalized recommendations.
To succeed in this field, you’ll need a strong foundation in mathematics, statistics, and computer science and the ability to work with large and complex datasets.
The demand for skilled data scientists is high, and the earning potential is significant. According to Glassdoor, the median salary for a data scientist is over $100,000 per year. With such promising career prospects, it’s no wonder that so many people are interested in pursuing data science courses.
Who is a Data Scientist? What Do They Do?
A data scientist is a professional who uses data to extract insights and inform decision-making. They work with large datasets to identify trends, patterns, and relationships and use statistical and machine-learning techniques to analyze and interpret the data.
Data scientists often work in the finance, healthcare, and technology industries. They may be responsible for tasks such as developing predictive models, creating data visualization, and communicating findings to stakeholders. See Coursera Data Science
Before considering the best options available, this post covers everything you need to consider when choosing a free data analytics course. If you want to jump straight to our selection of free data analytics courses, just use the clickable menu to head to section four.
What is data analytics?
- What’s the difference between a free data analytics course and a paid program?
- What should I look for in a free data analytics course?
- The best free data analytics courses online
- Wrap-up and further reading
1. What is data analytics?
Data analytics. It seems like everybody’s talking about it, right? But what exactly is it? You’ll find a great introduction in the following video, or just keep reading!
What does data analytics actually involve?
Typically, the data analytics process involves many tasks. These usually include defining a problem, deciding which data to collect to solve that problem, collecting and cleaning those data, transforming and modeling them, and finally, using all this to extract useful information to support making a decision! We’ll grant you, this is a longer definition than our first one, but it’s honest!
Why is data analytics so hot right now?
Data analytics has been around in some form since humans first started scratching figures onto wax tablets. However, data analytics in its modern sense has only really gained traction with the dawn of digital.
2. What’s the difference between a free data analytics course and a paid program?
OK, so we know what data analytics is. How can you learn more? Trying out a free data analytics course is a great way of dipping a toe in the water to see if you want to dive deeper.
3. What should you look for in a free data analytics course?
Many paid data analytics programs tend to provide similar incentives and benefits, as well as covering much of the same core material. That’s because they’re competing with other similar programs.
4. The best free data analytics courses available right now
OK, time to choose a course! We’ve selected a broad cross-section of options to give you an idea of the various types of free data analytics courses available:
- Datacamp
- OpenLearn
- Harvard
- Coursera
- Udemy
- Dataquest
Areas in which data science is used
- Programming
- Mathematics
- Statistics
- Software engineering
- Artificial intelligence
- Machine learning
- Algorithms
- Systems architecture
- Big data
Examples of the best data science companies:
- Numerator
- Cloudera
- Splunk
- SPINS
- Alteryx
- Civis Analytics
- Sensense
| Intro to Data Science | 4.7/5 | Udacity | 2 Months | Intermediate | |
| 2. | Solving real-world problems with data | 4.3 | Udemy | 2h | Intermediate |
| 3. | Modern Data scientist | 4.5/5 | Udemy | 1h 40min | Beginner |
| 4. | Bayesian Statistics: From Concept to Data Analysis | 4.6/5 | Coursera | 12 hours | Intermediate |
| 5. | Data Analysis and Visualization | 4.7/5 | Udacity | 16 Weeks | Intermediate |
| 6. | Data Visualization and D3.js | 4.7/5 | Udacity | 7 Weeks | Intermediate |
| 7. | Data Analysis with R | 4.6/5 | Udacity | 2 Months | Intermediate |
| 8. | Data Science 101 Data Analytics Class Python Bootcamp NYC | 4.1/5 | Udemy | 1h 43min | Begginer |
| 9. | ? What is data science | 4.4/5 | Udemy | 41min | Beginner |
| 10. | 4.5/5 | Udemy | 4hr 6min | Beginner | |
| 11. | Data Wrangling with MongoDB | 4.7/5 | Udacity | 2 Months | Intermediate |
| 12. | Statistics | 4.7/5 | Udacity | 4 Months | Beginner |
| 13. | Intro to Data Analysis | 4.6/5 | Udacity | 6 Weeks | Beginner |
| 14. | Model Building and Validation | 4.7/5 | Udacity | 8 Weeks | Advanced |
| 15. | Google data analytics | 4.9/5 | Coursera | 6 months | Beginner |
| 16. | IBM data science | 4.8/5 | Coursera | 5 months | Intermediate |
| 17. | Applied data science with python | 4.8/5 | Coursera | 11 hours | Beginner |
| 18. | Probability and Statistics | 4.6/5 | Coursera | 16 hours | Beginner |
| 19. | Data Science Ethics | 4.8/5 | Coursera | 15 hours | Beginner |
| 20. | Mathematics for data science and ML | 4.7/5 | Coursera | 30 hours | Beginner |
| 21. | Data science | 4.6/5 | Coursera | 26 hours | Intermediate |
| 22. | Real-Time Analytics with Apache Storm | 4.7/5 | Udacity | 2 Weeks | Intermediate |
| 23. | Linear Algebra Refresher Course | 4.7/5 | Udacity | 4 Months | Intermediate |
| 24. | Python for everybody | 4.9/5 | Coursera | 28 hours | Intermediate |
| 25. | Hands-on Text Mining and Analytics | 3.9/5 | Coursera | 13 hours | Intermediate |
| 26. | Improving Your Statistical Questions | 4.9/5 | Coursera | 18 hours | Intermediate |
| 27. | Data science fundamentals | 5.0/5 | Coursera | 18 hours | Intermediate |
| 28. | Introduction to Data Science using Python (Module 1/3) | 4.4/5 | Udemy | 2hr 32min | Beginner |
| 29. | What is Data Science? | 4.2/5 | Udemy | 40min | Beginner |
| 30. | Python For Data Science | 4.4/5 | Udemy | 3hr 55min | Beginner |
| 31. | Learn NumPy Fundamentals (Python Library for Data Science) | 4.6/5 | Udemy | 1hr 49min | Beginner |
| 32. | Python for Data Science – Great Learning | 4.2/5 | Udemy | 1hr 55min | Beginner |
| 33. | Intro to Data for Data Science | 4.4/5 | Udemy | 1hr 1min | Beginner |
| 34. | Data Science, Machine Learning, Data Analysis, Python & R | 3.9/5 | Udemy | 8hr 7min | Beginner |
| 35. | SQL for data analytics | 4.5 | Udemy | 2h | Beginner |
| 36. | Intro to data for data science | 4 | Udemy | 1h | Beginner |
| 37. | Learn Data Science With R | 4.4/5 | Udemy | 8hr 42min | Beginner |
| 38. | Learn data cleaning with Python | 4.3/5 | Udemy | 57min | Beginner |
| 39. | NumPy for Data Science Beginners: 2021 | 4.3/5 | Udemy | 1hr 51min | Beginner |
| 40. | Data Science Crash Course | 4.3 | Udemy | 50min | Beginner |
| 41. | An Athlete’s Guide To Data Science | 4.3/5 | Udemy | 1hr 1min | Beginner |
| 42. | A – Z™ Python crash course for Data Science 2021 |
