25 experts have compiled this list of the Best Free Data Science Online Courses, Training, Tutorials,Classes, and Certifications available online for 2020. It includes both free and paid resources to help you learn about Free Data Science, and these courses are suitable for beginners, intermediate learners, and also for experts.
If you are looking for the best-selling courses from which you can build up the foundation of data science or take your existing skills to a higher level, then you will find an array of suitable options. Topics include – Analyzing financial information, helping innovative businesses, getting to introduce big data, developing computational thinking ability, ML, and much more. Upon completion of the learning journey, you will be one step closer to your dream job.
Key USPs-
- Mine, analyze, and visualize datasets and your findings.
- Choose from specialization tracks, individual courses, and certifications.
- Mini and capstone projects allow you to urge hands-on.
- Learn from teachers and university leaders.
- Lectures are accessible for free, and a verified certificate can be added at an additional price.
Duration: Variable
2. Free Data Science Courses and Tutorials (Udemy)
Many of the learning options available on the Internet can be confusing and you would be wondering which one would be fine for you. On this website, you will not only get high level free and paid content but also a small quiz which will allow you in choosing the best material to help you learn. Apart from this, some short lessons are also given which are useful for quickly learn any particular topic.
Key USPs-
- Short tutorials make it easy to study at any time.
- Free lessons available and therefore the paid classes have a 30-day money-back guarantee.
- Lectures + Downloadable resources + Articles + Complete lifetime access.
- Get answers to your questions by reaching out to the mentor.
Duration: Variable
3. Free Data Science Classes (edX)
The science of data is evolving rapidly with more and more usage in many industries. Learning platform EDX has designed a series of more than 200 courses created by top academic and industrial institutes to aid your learning. Choose a programming language that you are comfortable with and analyze large parts of the dataset.
Key USPs –
- The introductory programs do not require any prior experience in the field.
- Work with tools and languages such as Excel, Python, R, and more.
- Choose among professional certifications, master’s degree, Micro-Master’s program.
- Some classes have a free trial period, whereas others allow you to self-learn for free.
Duration: Variable
4. Machine Learning by Stanford University (Coursera)
This class gives an in-depth overview of this quickly developing area of Machine Learning. Some of the major topics discussed in the chapters include unsupervised and supervised learning, clustering, intensive studies, and innovative solutions. Lessons go along with examples of how some of the top organizations are using these techniques to tackle real-world problems. With glowing ratings, this course is a crowd favorite.
Key USPs-
- Use logistic and linear regression to classify data and predict accurate results.
- Apply algorithms and draw insights from case studies.
- Find the best ways to post Silicon Valley.
- Introduction to neural networks and their uses.
- Free access to self-learning is provided.
Duration: 56 hours
5. Learn Data Science Online(Data Camp)
Data camp, developed primarily to help students and professionals acquire industry-ready skills, which leaves no stone unturned to provide you with the best content available online. All relevant technologies and languages which are starting from Python, Shell, Git, SQL, and spreadsheets are included. By completing assignments and lectures, you will be able to obtain completion certification, which can be displayed in the application for the job.
Key USPs-
- Different learning paths available depending upon your current expertise level.
- Apply your knowledge to solve real-life problems and develop your portfolio.
- Short and interactive challenges for practice.
- Continuous support is provided to make your journey smooth.
- The first few of these modules are available for free trial.
Duration: Variable
6. Intro to Data Science (Udacity)
This program is offered for individuals who are interested in adopting the role of data scientists but do not have any basic knowledge about this field. Classes provide an overview of data science, rather than focusing entirely on a particular topic. Course will emphasize on tackling issues, and understanding of some basic techniques. By the end, you will have a better sense of how to move forward with more advanced certifications.
Key USPs-
- No prior familiarity with the concepts covered is mandatory.
- Manipulate datasets and analyze them by using machine learning and statistics.
- Understand the importance of the visualization process.
- Interaction with peers in the student community.
- Take interactive quizzes and study at your own pace.
- Enroll at no cost.
Duration: 2 months
7. Learn from ML experts at Google (Google AI)
Get the opportunity to know about machine learning from the experts of this technical powerhouse. Whether you are a beginner or an experienced person, this website has something to offer to you. These lectures include a series of articles, videos and assignments. Get started by using filters that allow you to select the type of your profession, the content you are searching for, and the phase of ML you are interested in. Once you answer these questions, you will get recommendations that are compatible with your aspirations.
Key USPs
- Mentors encourage you by learning.
- Tools, best practices, and methods for developing and maintaining AI products.
- Comics descriptions, demonstrations, and practices to make learning a fun experience.
- Study materials, lessons, and guides are available for free.
Duration: Variable
8. Machine Learning Courses (edX)
On EDX, you may find real college curriculums on Machine Learning (ML) by the world’s top institutes and professional certifications of leading tech companies. These classes not only help you build a strong foundation but also introduce you to the latest trends in this field. If you want to work on a particular aspect of machine learning, then you can take individual courses, otherwise, you can go for a long series of training that contains multiple modules.
Key USPs-
- To draw conclusions from incomplete information, analyze and visualize them.
- Predict results based on algorithms and hidden patterns.
- To get a practical understanding use real-world example.
- Get familiar with tools and programming languages like GitHub, RStudio, Linux, Python.
Duration: Variable
