While pursuing a data science course sounds like a good prospect, choosing the right one is pretty much difficult.

As said by Clive Humby, UK Mathematician and architect of Tesco's Clubcard, Data is the new oil and is valuable only when refined. As the world around is getting ready to embrace data driven business models, it will definitely generate huge demand for data science professionals. While pursuing a data science course sounds like a good prospect, one may also think what is it that a human can contribute towards data analysis when machine learning models would be calling the shots with data processing in the future. Here is the fact: Many business people distrust processes they don't understand. They need humans to act as a bridge between the data and its users. Data Science as a profession is here to stay. So, be it a fresher or a professional; if one needs to learn data science for career improvement or to just test the waters, here are the top 10 free data science courses available in 2022.

1. Introduction to Data Science course by Simplilearn:

Simplilearn offers a free introductory course in data science that consists of self-paced videos which help learners understand the basics. It deals in Python libraries for Data Science, essential Data Science algorithms along with job skills required for a data science job. Concepts covered in this course include exploratory data analysis, descriptive statistics, inferential statistics, model building and fine-tuning, supervised and unsupervised learning, natural language processing, ensemble learning, etc.

2. Free data science courses at Datacamp:

Datacamp provides a range of free data science courses including an introduction to python, R, SQL for marketers, and data. world in Python, which allows access to a variety of data sets to introductory courses in probability and data labs, inferential statistics, etc. The courses are comprehensive and digestible particularly if you are a beginner. Its career and skills track will prepare you for the career ahead and is definitely worth trying.

3. Learn Python for Data Science by Analytics Vidhya:

This course is designed for beginners with no coding or data science experience. The course curriculum covers all the essential concepts for you to become familiar with the Python language. The topics covered in the course include operators, variables, conditional loops, libraries, indexing a data frame, data manipulation, visualisation, etc. You will be issued a block-chain enabled certificate with lifetime validity, after completion of the course.

4. Data visualisation course by Harvard University:

It is an 8-week long professional certificate program in Data, which covers the basics of data visualization and exploratory data analysis. They use three real-life examples and

ggplot2, a data visualization package for the statistical programming language R. In this course you will learn concepts such as data visualization principles, communicating data-driven findings, using ggplot2 to create custom plots, identifying weaknesses of widely-used plots, etc.

5. Introduction to Data Science using Python by Udemy:

This 2.30 hr duration course offered by Udemy teaches fundamentals of Python language though doesn't go much deeper into the statistical areas, it covers all the needed concepts to make you familiar with Data Science and Analytics. This course is meant for anyone who wants to learn Data Science from scratch and make a career or is just interested in learning Data concepts to apply in their jobs. The concepts covered by the course include Python & Scikit tools, types of machine learning algorithms, basics of Anaconda, Jupiter, and Python code. Advanced concepts like fitting a machine learning model, validation using model selection, and finalizing an optimal model are also taught in this program.

6. Data Science, Machine Learning, Data Analysis, Python & R by Udemy:

This online free data science course, which lasts for around 8 hrs, deals with the basics of Data Science, Artificial Intelligence, Machine Learning, and Deep Learning. The course includes topics on Data analysis, visualisation, and loading methods using Python and R. The course comes with practical exercises, which are based on real-life exercises. In this course, you can download Python and R code templates to use in your own projects. Though it doesn't provide a certificate upon completion of the course, it can be pursued to have a good foundation in data analysis.

7. IBM Analyst Professional Certificate by Coursera:

This course is suitable for students with or without college degrees and does not require prior knowledge in programming or statistics. The course gives you hands-on skills practice, as you get to work with different data sources, project scenarios, and data analysis tools including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics. It is a 100% online course, with a flexible schedule and you can earn a shareable certificate upon completion of the course.

8. SQL for Data Science, the University of California by Coursera:

This beginner-level course offered by UC Davis, University of California, teaches SQL concepts which are very part and parcel of a Data Scientist's tool kit. In this course, you will learn to identify a subset of data, write a SQL query, use SQL commands, create an analysis table from multiple queries, and manipulate strings, dates, and numeric data using functions. It has a flexible deadline to enable a flexible schedule to complete the course. You will be issued a shareable certificate upon the completion of the course.

9. Python for Data Science, AI &Development, IBM:

One of the best free data science courses offered by IBM at Coursera enables you to learn Python in a way to enhances your programming skills. No prior programming experience is necessary for Python or other programming languages. In this course, you will learn Python fundamentals, including data analysis, and have hands-on experience by the time you complete the course. This course is part of multiple Specialization or Professional Certificate Programs. Apart from earning a certificate from Coursera, you will also receive a digital badge from IBM.

10. Introduction to Data Science by Udacity:

A beginner course in data science makes you familiar with fundamental topics in data such as data manipulation, data analysis with Statistics and Machine Learning, Data communication with information visualization, and working with big data. The classes will make you proficient in a vast variety of topics instead of focusing on a few topics in depth. This gives an opportunity to sample and apply basic techniques of data science.