The entire edX platform is reviewed to find the best edX courses for Data Science certification. By considering many factors, we’ve concluded 9 best edX Data Science courses.
Your online training on edX Data Science will be easier if you know the essential math topics for Data Science. Also, it helps if you know one of the programming languages for Data Science. Don’t worry if you’re not aware of either of them. The edX Data Science Certificate course listed here will cover the essentials to get started with Data Science.
It seems you’re finally serious about studying Data Science to scale up your career. Hence, without further wait, let us proceed to learn the best edX courses for Data Science.
In a Hurry?
If you don’t have much time, use the below links to find the best edX courses for Data Science. Rest assured we only recommend the best edx Data Science essentials course:
–Data Science by Harvard University is one of the top resources you can take to learn Data Science from scratch.
–Data Science Foundations by IBM is designed to learn the essential and foundations of Data Science.
–Foundations of Data Science by BerkeleyX is an excellent course to learn statistics along with Data Science basics.
–Statistics and Data Science by MITx are rigorous edX Data Science essentials that can be enrolled by anyone.
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Best edX Courses for Data Science 2021
1. Data Science by Harvard University
This is a Professional Certificate in Data Science developed by Harvard University. There is a high demand for skilled Data scientists across the globe. HarvardX Data Science program puts every student in the right direction to fill the gap in Data Science skills. The programming language used in this program is R programming. R programming language is one of the most sought after skills in the Data Science field.
Another exciting feature of the Harvardx Data Science course on edX is that it covers real-world case studies. These case studies put you in the right direction and offer you the experience of real-world problems. This puts you ahead of the competition since you’re trained in real-world scenarios. Here you learn statistical concepts, R programming, and Data Analysis. All there are essential topics of Data Science by edX.
Key takeaways of this course:
- Course material is provided by the top University in the world.
- It covers the fundamentals of R programming to give a head start in the course.
- It Offers training on the essential math topics required for Data Science.
- Master the data visualization and data wrangling with ggplot2 and dplyr.
- Jumpstart your Data Science career by studying real-world case studies.
- Learn to implement Machine Learning algorithms in your Data Science projects.
- It comes with a final capstone project to show the skills you’ve learned throughout the course.
The edX Harvard Data Science course contains 9 skill-building classes. This self-paced training will take 1 year 5 months to complete the Data Science training. Once you complete the course, you can try some of the Data Science projects for beginners.
2. Data Science Foundations by IBM
The myth about becoming a Data Scientist is that you need a Ph.D. to become one. That’s not the case. If you’ve enough basic computer skills and eagerness to self-learn, then this professional certificate program is the starting point of your Data Science career. You can start this IBM Data Science Foundation course with no prior knowledge of any technical skills. Not even a programming language knowledge is need for this course.
By completing this Data Science Foundations course by IBM, it will become easier to take the next advanced courses on Machine Learning and Data Science. This course covers several Data Science topics: Python, SQL, Databases, open-source tools, and more. Once you complete this course, you will be qualified to take the IBM Data Science Professional Certificate program (3rd course in this list of best Data Science course on edX).
Key takeaways of this course:
- You will learn the different types of tools used in Data Science and experience some of them.
- Understand the key steps to tackle a data science problem.
- It trains you on some of the methodologies to think and work like a Data Scientist.
- Learn the relational database and SQL commands to query databases.
- It contains several hands-on practice labs to practice Data Science exercises.
Data Science Foundations by IBM course contains 4 skill-building classes. The time to complete this course is six months, with 3-6 hours of study per week. This is one of the best edX courses for Data Science to learn online.
3. IBM Data Science Professional Certificate
This IBM Science Professional Certificate is a high-quality course to learn Data Science on edX. If you’ve taken the IBM Data Science Foundation course, this course is a great addition to learn all the important topics required to become a Data Scientist. IBM has designed several assignments for hands-on knowledge. The instructors provide all detailed, high-quality instruction with clear sentences. This way, it will be easier to understand the topics.
The curriculum covers various topics on the latest Data Science topics and teaches all the necessary tools. There is no need for any prior programming language is required to take this course. The learning path followed here involves self-paced training with basic topics. Then the course leans towards advanced topics slowly. To become a successful Data Scientist, one should be confident in the learned skills. This is just the perfect course for it.
Key takeaways of this course:
- Using Jupyter notebooks, you will practice Python programming.
- You will be able to write the basic commands in SQL to solve Data Science problems.
- Ensure data is relevant to understand better how you can solve a problem.
- You will learn some of the core topics of Machine Learning to get insights and predict future trends.
- Use the Data Science and Machine Learning techniques to complete a capstone project.
This IBM Data Science Professional Certification course comes with 9 skill-building courses. The time to complete this course is about 1 year. We’ve also published a guide on best Python courses on edX, check it out if your interest lies in learning Python before Data Science.
4 Foundations of Data Science by BerkeleyX
BerkeleyX Foundations of Data Science is an excellent course that teaches you to combine data with Python programming. Since Python is the easiest programming language to learn, it has many potential compared to other languages. This course is aimed at students who have no prior knowledge of statistics. UC Berkeley’s Data Science course is groundbreaking, and many top universities have followed it.
The main feature of the course is that it teaches the way of thinking in Data Science. The course begins with the basics and takes you to show Machine Learning models by the end. There is no need to download any additional software for Data Science; all you need is this course and access to a browser. The Data Science courses from Berkeley’s has been endorsed by Google’s Vice President of Education and Microsoft’s Corporate Vice President of Cloud AI.
Key takeaways of this course:
- Start learning Data Science from the foundations with Python and Statistics.
- No programming language is necessary to take this course.
- Learn to interpret and communicate data and results.
- Using statistical methods and Machine Learning, you will learn to make predictions.
- Build visualizations using Python to analyze data more efficiently.
- Make powerful conclusions even with incomplete information by thinking critically about data.
This self-paced online Data Science course on edX contains 3 skill-building courses. You can complete the course in about 4 months.
5. Data Science by UC San Diego
This is a MicroMasters program developed by UC San Diego to teach students to excel in Data Science. In this course, you’ll learn to gain new insights from big data by asking the right questions. All the necessary tools and mathematical topics are taught with a good understanding of the basis of Data Science.
UCSanDiegoX’s Data Science MicroMasters program covers both sides of learning – mathematical and applied. The essential math topics of Data Science covered here are statistics and probability. And the applied courses covered here use the technical skillset of programming. The major Python libraries involved here are Matplotlib, pandas, Numpy, and Scipy. These combined skill sets will make your expertise and desirable employee.
Key takeaways of this course:
- This course covers the essential mathematics of probability and statistics.
- It trains you on the popular Python libraries required for modern Data Science.
- Using the noisy data, you’ll learn to make reliable statistical inferences.
- Using Jupyter notebooks, learn to analyze large datasets.
- You will use Machine Learning to learn models for data.
This program is composed of 4 graduate-level courses in Data Science. The training material covered here will lead you to land a high paying career in Data Science.
6. Statistics and Data Science by MITx
The curriculum of the MITx Statistics and Data Science in edX brings the same as the one taught in on-campus at MIT. All the course topics are taught and trained by MIT faculty. MIT’s best learning approach is one of the best in class in the world. Anyone can enroll in this MicroMasters program to learn Data Science on edX. But, Python programming and college-level calculus is highly recommended if you wish to pass in flying colors.
This MITx curriculam is comprised of 4 online instcutor led class and one virtually proctored exam. You begin the course by learning the fundamentals of statistics and probability. Both are highly required in the field of Data Science. By completing this course and earning the certificate, one can apply for the job titles as Data Analyst, Data Scientist, Systems Analyst, and Data Engineer. You can add value to any organization by the skill gained in this edx Data Science program.
Key takeaways of this course:
- Learn and excel in the foundations of Machine Learning, Statistics, and Data Science.
- One of the best Data Science programs on edX from the top University of the world.
- Learn to extract information by building Machine Learning algorithms.
- Master both supervised learning and unsupervised learning methods.
- Finishing this MicroMasters program will prepare for the job titles – Data Analyst, Data Scientist, Systems Analyst, and Data Engineer.
This Data Science program from MITx comes with 5 graduate-level courses with expert instructions. This is an instructor-led program on edx data science essentials. You can complete this MIT Data Science program in 14 months.
7. IBM Python Data Science
IBM Python Data Science course doesn’t require you to know any programming languages. The Professional Certificate in Python Data Science consists of five courses in the curriculum. It begins with teaching Python that is essential for Data Science. Then progressively, you begin to learn other essential topics by building data visualization and analysis skills. Using IBM Watson Studio, you will create your own projects and start to collaborate with others.
The learning materials contain online video training, assignments, and several hands-on practice labs. Everything is tailored together to provide the best learning experience from IBM. The course’s final project is to use both Data Science and Machine Learning to build a predictive model for a real-life business scenario.
Key takeaways of this course:
- Learn the basics oh Python programming and understand how it is useful in Data Science.
- Using Jupyter notebooks on IBM Cloud, learn to practice iterative Data Science.
- 6-month course containing over 5 skill-building sessions.
- Learn to create models in Machine Learning using sci-kit learn and scipy.
- Exhibit your proficiency in solving problems of real-life data science.
IBM Python Data Science course is 6-month long course that requires at least 3-5 hours of study per week. It comes with 5 skill-building course bundle, which is useful for every future Data Scientist.
8. Data Science for Executives by Columbia University
The way Data Science is making new innovation and smarter is so much better for many businesses. In this Columbia University Data Science course, you’re provided with all the latest Data Science tools. And also, the applications of Data Science in a different niche such as health, finance, sales, and more. It is a self-paced online training provided by very popular professors to teach you the foundations and power of data science.
The course aims to teach students the concepts in Data Science without any programming. If you’re looking for a Data Science course without coding, then this is it. The suitable audience for this course is business managers, organization leaders, and healthcare professionals. It also provides insights on IoT. The major topic of this program is the second course, Machine Learning for Data Science and Analytics.
Key takeaways of this course:
- A suitable course for leaders and business managers to learn the foundations of Data Science.
- Understand how the decision is made using Data Science and Analytics.
- Learn the practical way of knowing the fundamental methods used by Data Scientists.
- How natural language processing (NLP), Audio and Video Processing is used to extract useful information from books, twitter, YouTube, and more.
The course syllabus contains a bundle of 3 courses that you can complete in about 4 months.
9. Elements of Data Science by RICE University
This Data Science is an Intermediate level program developed by Rice University. The need for Data Science is steadily increasing, and active recruitment is going on. Anyone eager to land this dream job of Data Science can enroll in this course. The prerequisite to take the course is that you should have knowledge of Linear Algebra and Calculus.
Anyone looking to build a solid foundation in Data Science algorithms and tools can use this medium. The best feature of this program is that if you get more than 70% in all the courses, you will get a certificate that highlights your achievement. Also, you also get an option to collect real college credit.
Key takeaways of this course:
- Learn the objects of linear algebra to understand how to compute with them.
- It teaches the practical algorithms for data from the real world.
- Understanding relationships between linear equations, matrices, and linear transformations is essential.
- Includes several topics in Linear Algebra that are essential in the Data Science field.
The 3 high-quality courses that come with this Data Science program can be complete in 6 months.
Summary: Best Data Science Course on edX is Worth it?
Yes, we’ve done a thorough review to list the best edX courses for Data Science. It will be easier to pick the right course by our readers across the globe. These Data Science courses in edX provide the best resources and tools to learn online.
All the Data Science tutorial highlighted in this post is designed and developed by the world’s top universities.
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