7 Free Data Science Courses for Beginners

Big data has ceased to be just a buzzword and is now used in areas from IT to retail. It's time to begin to understand the models of data analysis, dive into the data arrays and get experience in an interesting direction - Data Scientist. Keep courses in which you learn the theory and get practice. Pros will not, but take the first step.

1. A crash course in Data Scienc e

The course wants to quickly learn to understand how to work with big data. There will be no heaps of technical terms here - everything is focused on understanding the general principles of big data: the basic terms, the role of big data in business, the main tools used to work with large volumes of information. In general, a good course to get acquainted with the topic.

2. Building a Data Scien ce Team

This course will focus on the big data analytics team. You will learn what roles should be in the team, how to manage such teams, how to select the right specialists and effectively build the working process.
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3. The Data Scientist's Too lbox

Practice time! The authors of the course give an overview of data types, talk about the approaches and methodologies of information processing. After the introductory theory, you will be introduced to the tools for work: Git, R and RStudio - the most popular things that help to process arrays of information, and decorate the resume date of the miner!

4. Stepic Contest. Data sci ence

Another sightseeing trip to the world of big data. The steepness of the course lies in its ability to automatically adapt to any level of student knowledge. Stepik recently launched self-configuring programs, so we advise you to evaluate it more for the benefit of knowledge and service improvements :)

5. Data Science Essen tials

How to collect data, prepare arrays for processing, derive benefits from them and visualize the results - they will teach everything on the course! There will be a lot of practice using Microsoft Azure Machine Learning, R and Python. You will get acquainted with the processes of data transfer between the storages, work with the statistics of big data and even pump in machine learning.

6. Data Sci ence

If with programming you do not really - do not despair. Not one R and Python can pave the way to Data Science, because Excel will come to the rescue. In this course, you will learn everything about data processing using the good old Excel.

7. Machine Learning for Data Science

Catch an advanced level so that life does not seem to be quite boring - machine learning in big data. Learn to classify these images, study existing models, go into clustering and apply knowledge in practice!