Most people thought only they needed a fortune of cash to study in a university and get an undergraduate degree, but in reality, this is not the case.
Demand for experts in data science has increased, and many employers care more about your skills, and their value of the experts, than your degree from the university.
Many online courses will help you achieve your knowledge goals, and one of the best platforms known as Coursera, with courses like Data Science, Personality Type, Humanities, and World Languages. However, you will need to pay if you want to have a certificate in them.
Here is list of free Coursera courses you can join to learn about Data Science.
1. R Programming by Johns Hopkins University
One of the popular programming languages used among Data scientists is the R Programming language. This is another popular free Coursera course for Data scientists which will teach you how to use R programming for Data Science.
In this course, you will install and configure the R studio IDE on different environments such as macOS and Windows, then start learning the R data types like vectors & lists, matrices, factors, data frames.
Next, you will see control structures like the if statements, for loops, while loops, and scooping rules. Later, you will cover the loop functions such as apply that loop over the lists, apply, split, and the debugging tools like diagnosing the problem and more.
Talking about social proof, more More than 629,000 people have already joined this Coursera course which tells a lot about the popularity of this course.
Here is the link to join this course — R Programming by Johns Hopkins University
2. Introduction to Data Science in Python [Free]
This is one of the most popular free courses to learn Data Science in Python on Coursera. More than 614,000 people have joined this free course to learn Data Science. It’s an ideal course for beginners and this course should be taken first if you are planning to learn python and data science simultaneously.
You will start learning the fundamentals of python, like data types and functions, and move to read data from CSV files and numeric calculations using the NumPy library.
Next get your hands on the statistics such as distributions and other forms of structured data. Talking about social proof, more than 624,000 people have already joined this free course.
Here is the link to join this free course — Introduction to Data Science in Python
3. Databases and SQL for Data Science with Python
This is another popular free Coursera course for Data scientists. This free course from IBM and taught by Ravi Ahuja will teach you SQL, an essential tool for Data Science. SQL language is also widely used among data scientists to fetch data from the database for analysis purposes.
In this free course, you will learn basic SQL statements and practice them on a live database such as SELECT & INSERT statements. You will then understand the database relationship and the concepts behind them, and how to create tables.
Next, you will see some advanced commands of SQL for the data engineers. More than 205000 people have joined this course to learn SQL for Data Science on Coursera.
Here is the link to join this course — Databases and SQL for Data Science with Python
4. Applied Plotting, Charting & Data Representation in Python
Data visualization and extract meaningful insights into your data is the main purpose and job for data scientists. You will understand the principle of information visualization.
This course is also part of the Applied Data Science with Python Specialization, one of the popular certifications on Coursera for Data Science.
you will see how to use pandas library and, data visualization libraries like matplotlib and other data visualization is known as seaborn for statistical visualization.
Here is the link to join this course — Applied Plotting, Charting & Data Representation in Python
5. Applied Machine Learning in Python
Predicting data scientists in created using the machine learning algorithms and models. This course will begin with the fundamentals of machine learning and the sci-kit-learn library and see how to apply classification using the K-Nearest Neighbors.
You will also learn about supervised learning and how to apply classification and regression, overfitting & underfitting, logistic regression, support vector machine.
The course is also part of the Applied Data Science with Python Specialization and offered by one of the top US universities, the University of Michigan.
In short, one of the best free Coursera courses to learn Machine Learning using Python. More than 237K students have already joined this course and you can join as well.
Here is the link to join this course —Applied Machine Learning in Python