Here is a list of top 5 data science courses for students and professionals who are looking to explore a career in data science.
ith the profound growth in the field of data science, it has become a lucrative career option for professionals today. Over the last three years, data science jobs have witnessed nearly 37% growth with Healthcare, banking, and financial services, insurance, retail, and telecom being the top sectors hiring data science professionals.
Coursera The Data Scientist’s Toolbox
This program is designed for everybody who is interested in developing skills and experience to pursue a career in Data Science or Machine Learning. In this course, you will get an introduction to the main tools and ideas in the data scientist’s toolbox like version control, markdown, git, GitHub, R, and RStudio.
Duration: 11 hours
Udemy – Data Science, Machine Learning, Data Analysis, Python & R
This course is designed to help professionals and students learn complex theories, algorithms, and coding libraries in a simple way. With every tutorial, learners will develop new skills and improve their understanding of this challenging yet lucrative sub-field of Data Science. The course is packed with practical exercises that are based on real-life examples. This course includes both Python and R code templates which can be downloaded and used on projects.
Duration: 8 hours of video content
Great Learning Academy: Introduction to R
The Great Learning Academy offers a course called ‘Introduction to R’. This course is for anyone who is a beginner and wants to understand the field of data science. R is a comprehensive statistical and graphical programming language which is fast gaining popularity among data analysts. Learners will also receive a certificate from Great learning post the completion of the program.
Duration: 2.5 hours of video content
edX- Python Basics for Data Science
This Python course provides a beginner-friendly introduction to Python for Data Science. The program provides learners zero to programming in Python in a matter of hours and gives a taste of how to start working with data in Python. Upon its completion, learners are able to write their own Python scripts and perform basic hands-on data analysis using the Jupyter-based lab environment. Learners can start creating their own data science projects and collaborating with other data scientists using IBM Watson Studio.
Duration: 1 Week
Simplilearn – Data Science with Python Course
Simplilearn’s Data Science with Python program helps professionals to master the concepts of Python programming. Through this Python Data Science training, professionals can gain knowledge in data analysis, Machine Learning, data visualization, web scraping, and Natural Language Processing.
Duration: 68 hours
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