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Top 5 courses for data scientist

Courses for data science is a big field that is currently in high demand. To become an excellent data scientist that employers want to recruit, you'll need a wide variety of abilities, a broad range of knowledge, and a passion for data, and it'll take longer than the hyped-up YouTube videos suggest.

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Aug 23rd 2021

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Top 5 courses for data scientist

We've whittled down the finest courses for data scientist accessible in the list below after hours of viewing course videos, participating in quizzes and assignments, and reading reviews on different aggregators and forums. I've added a separate area for more particular data science interests, such as Deep Learning, SQL, and other related topics, in addition to the best general data science course selections. Although they are more specialized courses that do not cover the full data science process, they are still the finest alternatives for that topic. These supplementary options might be served before, after, or during the main course.

Course for Data Scientist Specialization

When it comes to courses for data scientists, this course series is one of the most popular and well-received on our list. JHU has done an awesome job with its data science curriculum. This course provides you with the perfect platform to launch your career in data science. It is a ten-course introduction to data science, developed and taught by leading professors.

A comprehensive part on statistics—which is the backbone of data science—is covered in this series. This is something that is oftentimes lacking in many data science courses. Besides skillsets in data science, you will also gain skills such as Github, machine learning, R programming, regression analysis, Rstudio, data analysis, data manipulation, data cleansing, debugging, cluster analysis.

The course covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project of this course, you’ll be required to apply the skills learned by building a data product using real-world data. At completion, you will leave the course with a handy portfolio which will prove super useful once you enter into the data science job market. Apply here.

Introduction to Data Science

This is a part-time course that is provided live by a data scientist from a prominent firm, with a 4.9/5 on SwitchUp and a 4.8/5 on CourseReport. In this data-related course, you will be given kind of an overview for beginners since it touches every aspect of data science. The course takes you one step closer to becoming a data scientist by offering a subset of the topics covered in the Data Science and Analytics Boot camps.

You will get a well-rounded intro to the core concepts and technologies taught within the boot camp, including basic machine learning principles and hands-on coding experience. Plus, you will also be mandated to put it all to practice through a mini data science project of your own. The course covers the following:

  • Data acquisition, cleaning, and aggregation;
  • Exploratory data analysis and visualization;
  • Feature engineering;
  • Model creation and validation;
  • Basic statistical and mathematical foundations for data science.

This is also the only live online course on our list. Additionally, you will receive a certificate upon completion, as well as continuing education units, because this course is accredited. Apply here.

Applied Data Science with Python Specialization

This is another great data-related course. This course mainly focuses on the practical aspect of data science and is offered by the University of Michigan, which also offers an online data science Master’s degree. This means you’ll acquire a solid foundation in data science Python libraries like matplotlib, pandas, nltk, sci-kit-learn, and network, and you will learn how to apply them with actual data.

With this course, you learn how to gain new insights into your data. You also learn to apply data science methods and techniques and acquire analysis skills—which are the main aims of this course. From this course, you will gain skills such as text mining, Python programming, data cleansing, data virtualization, data visualization (DataViz), machine learning (ML) algorithms, and so much more.

Note that the first 3 sub-courses in this specialization: Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3), should be taken in order and before any other course in this Applied Data Science with Python Specialization. After completing these first 3, courses 4 and 5 can be taken in any order. Nonetheless, all 5 are required to earn a certificate. Apply here.

Data Science MicroMasters

MicroMasters from edX are advanced graduate-level courses that could be used to get a true Master’s degree at some universities. Taking this course, you will learn how to load and clean real-world data, make reliable statistical inferences from noisy data, use machine learning to learn models for data, visualize complex data, and use Apache Spark to analyze data that does not fit within the memory of a single computer.

Completing the courses and obtaining a certificate for this MicroMaster’s will count for 30% of the complete Master of Science in Data Science degree from Rochester Institute of Technology (RIT). Apply here.

Dataquest

Dataquest is a terrific resource on its own, but it’s also a great supplement to the other courses on our list. In this course, it is interesting that they use a traditional yet interactive textbook instead of utilizing video format. Every stage in this course presents you with a practical experience where you can code and put what you learned into practice. 

With Dataquest, you get access to 67 Data science courses, 16 learning paths, 30+ guided projects, 10+practice problems, job-ready data skills, certificates of completion, and a lifetime community membership. The best part? You can get started for free! You do have to pay, however, for unlimited access to the courses, projects, and certification. Apply here.

Conclusion

Data science is a big field that is currently in high demand. To become an excellent data scientist that employers want to recruit, you'll need a wide variety of abilities, a broad range of knowledge, and a passion for data, and it'll take longer than the hyped-up YouTube videos suggest. Hence it is recommended to take up acclaimed courses related to the field. One of the courses for data scientist listed above could be the perfect fit for you. But we advise you to do more research before choosing a data-related course to follow. 

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