There are several modes of learning available for both fresh graduates and professionals. You can take the help of online learning, work on open-source projects, read blogs, or follow fellow Data Science enthusiasts who showcase projects and work on real-world problems. You can also choose to enroll in an in-person classroom session, or an online curriculum, that involves live instructor-led learning.
While an in-person classroom session has its own benefits of real-time engagement and a wholesome learning environment, online training with live instructor-led sessions is also effective if you are not able to be physically present in a classroom. Just make sure whichever mode of learning you choose, the course you’ve selected for upskilling must be industry-relevant, must help you understand Data Science tools and concepts thoroughly, and help you become an Electrical Engineer turned Data Scientist.
The most popular tools being used in the industry are MS Excel, Python or R, Hadoop, Spark, and Tableau. When it comes to programming for Data Science, Python is one of the most sought-after languages. Along with Python, R is also another popular programming language you must learn. R is a better tool for businesses because it is capable of making great business-ready reports using Rmarkdown (offers a framework for data science).
Some resources for learning data science:
- Professional Certificate in Data Science (HarvardX, through edX):https://www.edx.org/professional-certificate/harvardx-data-science?d=tx7MgClIXPxvokUfKNonVzuC7Rrq8pn%2BhnppAbuWNvIO10zKA3FHyjsuQNg%2FZ54imRqfUCnSMXO1yadLoVs%3D&b=1
- Analytics: Essential Tools and Methods (Georgia TechX, through edX): https://www.edx.org/micromasters/gtx-analytics-essential-tools-and-methods?d=tx7MgClIXPxvokUfKNonVyaZ4Q7g7IvknXF6HrmSJ%2FhX30TCDGlHxnc1DM86dYkolV6aXXDHc2%2B60%2B9ErFoWJ%2BIx8GGo2A%3D%3D&b=1
- Applied Data Science with Python Specialization (the University of Michigan, through Coursera): https://www.coursera.org/specializations/data-science-python
- Data Science Textbooks : Learning from a textbook provides a more refined and in-depth knowledge beyond what you get from online courses. This book provides a great introduction to data science and machine learning, with code included: “Python Machine Learning”, by Sebastian Raschka. https://github.com/rasbt/python-machine-learning-book-3rd-edition
HAPPY LEARNING !!
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