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5+ Best Data Science Courses, Ranked by Your Reviews

This post was originally published here.

Fortunately, Data Science popularity has yielded hundreds of articles, videos, webinars, courses, and books catering to beginners and experts who aspire to expand their minds.

If you are new to Data Science, you'll find the recommendations in this article tremendously helpful.


5+ Best Data Science Courses with a Specialization Certificate

Here's curated a list of the best (and Affordable!!!) data science courses with professional specialization certification to upgrade your skills with applicability to real jobs that employers value.


1. Introduction to Data Science in Python (Highly Recommended)

This course is created by the University of Michigan and published on Coursera and has been rated 4.5 of 5, of 7,815 ratings. This course is perfect for self-starters to learn the basics of the Python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating CSV files, and the numpy library.

Introduction-to-Data-Science-in-Python-1024x424

What you will learn? | Check here


2. Data Science Specialization (Highly Recommended)

Data Science Specialization is a nine-course introduction to data science, created and taught by leading professors at John Hopkins University. This specialization will equip you with the functional knowledge of R Programming, key statistical concepts, reproducible research for scientific claims, and Machine Learning.

Data Science Specialization

What you will learn? | Check here


3. Data Scientist with Python Track

Data Scientist with Python Track is comprised of 22 Courses offered by DataCamp, this learning track covers every major topic to equip students to create data-driven products which can be used to solve real-world problems.

Data Scientist with Python Track

What you will learn? | Check here


4. IBM Data Science Professional Certificate

IBM Data Science Professional Certificate is a specialization comprised of 9 courses, offered on Coursera. This specialization will introduce you to open source tools for performing data science tasks, statistical libraries, cloud services, datasets, Machine Learning algorithms, assignments and projects that will provide you with practical and latest job-ready skills.

IBM-Data-Science-Professional-Certificate

What you will learn? | Check here


5. Applied Data Science with Python Specialization

Applied Data Science with Python is a skills-based specialization offered by the University of Michigan. The 5 courses in that introduce learners to data science through Python and equip with functional knowledge of using popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and network to gain insight into their data.

IBM-Data-Science-Professional-Certificate

What you will learn? | Check here


6. Become a Data Scientist

Become a data scientist learning path by Dataquest offers a practical approach to introduce learners to data science using interactive coding challenges to make inferences and predictions from data. This learning path will equip you to think and solve problems like a data scientist.

Become a Data Scientist

What you will learn? | Check here


7. Data Science at Scale Specialization

Data Science at Scale Specialization covers 4 intermediate courses in data science to help learners gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn the Data Visualization techniques and explore legal and ethical issues that arise in working with big data.

Data Science at Scale Specialization

What you will learn? | Check here


Happy Learning

We hope the resources listed in this article puts you in the fast lane and if you liked this article enough, i've got one practical read for you about the Probability and Statistics for Data Science.

You may also be interested in starting with one of the Best Courses in Machine Learning to use as a springboard for a rewarding and lucrative career in the field of Data Science and Machine Learning.

Cheers🍻

Originally published at sinxloud.com

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