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8 Best Free Data Science Courses & Tutorials of 2020

Data Science

With many Data Science courses , students find it very challenging to fulfill their needs. Students also ask whether there is a particular Data Science course for every event. The response is YES. The famous courses below are available to you. Registering for the right course is an important consideration for your career growth. In this article, the best courses and classes in Data Science were selected by hand in 2020.

Our focus is to illustrate the most renowned and best-known courses in each category.

You will pick the one that best suits your needs, based on your query.

Let’s, though, glance at the best courses on the market for Data Science.

1. Free Data Science Courses (Coursera)

Duration: Variable

Rating: 4.7 out of 5

You can find a range of suitable options here if you are looking for top-selling courses that enable you to build the foundation of data science or improve your existing skills. Analyze financial details, aid business growth, incorporate Big Data, ML, build machine thinking skills and much more. After the journey is complete your dream job will be one step nearer.

Key Highlights:

  • You can get hands on mini and capstone ventures.
  • Mine your data sets, evaluate them and show them.
  • Select the tracks, individual courses and certifications for the specialization.
  • Readings are free and the certificate can be added for an extra charge. 
  • Learn from teachers and leaders of universities.

You can Sign up Here 

2. Free Data Science Courses and Tutorials (Udemy)

Duration: Variable                                                                                   

Rating: 4.6 out of 5

The huge amount of learning choices offered on the internet can make finding a curriculum suitable for you confusing. You will find on this website a short quiz that lets you sort the best available material to help you learn, and not only top curated free, paid content. In addition, bite-sized lessons are useful for quickly learning a particular topic.

Key Highlights:

  • Free classes and a 30-day cash-back guarantee for paid classes.
  • Get answers by contacting the mentor to answer your questions.
  • Concise guides make learning at all times simpler.
  • Readings + Articles + Resources downloadable + Full Lifetime Access

You can Sign up Here 

3. Machine Learning by Stanford University (Coursera)

Duration: 56 hours

Rating: 4.9 out of 5

This class provides a comprehensive overview of this rapidly changing area. Uncontrolled and monitored learning, clustering, deep learning and innovative solution form key topics addressed in classes. Lessons provide examples of how some of the world’s largest companies use such tools to solve challenges in the real world. This course is a favorite crowd with brilliant ratings.

Key Highlights:

  • Introduction and use of neural networks.
  • Algorithms are applied and case studies are taken into account.
  • To identify and predict accurate data, using logistic and linear regression.
  • To complete the tasks, use Octave or MATLAB.
  • Discuss Silicon Valley ‘s best practices.
  • Free self-learning access is provided.
  • Each revision module is followed by quizzes.

You can Sign up Here

4. Free Data Science Classes (edX)

Duration: Variable

Rating: 4.4 out of 5

Data science becomes quickly one of the fastest-growing fields with increasing use in many industries. EdX has curated a collection of more than 200 courses produced to enhance your learning by the top university and business institutions. Choose a programming language with which you can begin to analyze large pieces of data sets.

Key Highlights:

  • Function with Excel, Python , R, and more tools and languages.
  • No previous experience in the field is required for the introductory programs.
  • Choose between professional certifications, master degree, micromaster program.
  • Some lessons are free to take, while others require you to learn yourself for free.

You can Sign up Here

5. Intro to Data Science (Udacity)

Duration: 2 months

Rating: 4.4 out of 5

For people who intend to take on the role of data scientists but have no fundamental idea about the area, this program is offered. Instead of focusing entirely on a certain subject, the classes emphasize giving an overview of data science, the problems and some basic techniques that have been dealt with thereby. By the end of the day, you will have a more advanced sense of how to proceed. See our list of best data science courses for statistics.

Key Highlights:

  • Use machine learning and statistics to manipulate and analyze datasets.
  • Work with different information scales.
  • No prior awareness of the subjects covered is mandatory.
  • Communicate with student colleagues.
  • Register at no charge.
  • Understand the significance of visualization.
  • Take your own pace to take interactive quizzes and study.

You can Sign up Here

6. Learn Data Science Online (DataCamp)

Duration: Variable                                                                                   

Rating: 4.5 out of 5

DataCamp is specifically designed to help students and professionals develop industry-friendly skills, and does not leave a single pill to give you the best possible online content. All related technologies and languages are protected, starting with Python, Mysql, Git, and SQL. You earn the completion certification by completing the tasks and presentations, which can be addressed on work requests.

Key Highlights:

  • Apply your skills and build your portfolio to overcome real problems.
  • Small and interactive practical challenges.
  • Different learning paths based on your current level of expertise.
  • For a free trial, the first few modules are available.
  • Continued support to make the journey smoother.

You can Sign up Here 

7. Machine Learning Courses (edX)

Duration: Variable                                                                                   

Rating: 4.4 out of 5

On edX, the world’s leading institutions as well as professional certifications from top technology companies will find real college courses on ML. These lectures help you not only to build a solid foundation but also to introduce you to the latest trends. You can take the individual courses if you want to work on a particular aspect of machine learning or take the extensive training series consisting of multiple modules. See our Best Applied Courses of Data Science.

Key Highlights:

  • Predict results based on hidden patterns and algorithms.
  • Draw, analyze, and visualize conclusions from incomplete information.
  • Familiarize yourself with GitHub, RStudio, Linux, Python tools, and programming languages.
  • To get a practical understanding, use real-world examples.

You can Sign up Here

8. Learn from ML experts at Google (Google AI)

Duration: Variable                                                                                   

Rating: 4.4 out of 5

Learn from specialists in this technology industry about machine learning. No matter if you’re a newbie or an experienced person, there is something for you on this website. There are a number of lectures, videos and tasks. Start with the filter you ask to choose the type of profession you are looking for, the type of material you are looking for and the ML phase you want. You will receive recommendations that match your aspirations once you answer those questions.

Key Highlights:

  • Tools to develop and maintain AI products, best practices and method.
  • Developing, debugging, and exploring the most recent algorithms.
  • By doing, mentors encourage you to learn.
  • The materials, lessons and guides available for study are free of charge.
  • Comics, demonstrations and practice descriptions make learning fun.

You can Sign up Here 

Wrapping Up

That’s the list of 8 Best Free Data Science Courses & Tutorials of 2020 with high-quality content. They are popular and loved by many Data Scientist. Between these courses, you are sure to find what you need to learn to continue your path of learning Data Science.

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