Data Science Basics Set Right with This Coursera Program

Jeevith Arvind

29 March 2023

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Course Overview

The art of identifying patterns and insights in data has been practiced for centuries. Ancient Egyptians used census data to improve efficiency in tax collection. Data science has been a distinct field of work. In What is Data Science? by Coursera, you will be able to interact with data science professionals and get an overview of data science.

This course is more of an introductory course where real data scientists with ample experience will teach the learners all the technicalities of the domain. This course can be undertaken at one’s own pace. The handy pre-recorded videos provided can be watched at your convenience.

Rav Ahuja, one of my instructors for the curriculum, is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Professional Certificate and instructor for the Databases & SQL for Data Science course on Coursera.

"Personally, this course helped me understand what data science is and where it is used in today’s time."

- Jeevith Arvind

Course Structure

The Data Science basics course is a self-paced, well-curated advanced-level course spread over 8 hours. The program is taught online by experienced faculty members.

1st week covers the basics required for data science.
2nd week explains what data science is & its method.
3rd week teaches about the software and tools required for data science.

Technically, the curriculum is spread over 3 distinguished modules:

Module 1: Defining Data Science and What Data Scientists Do

Module 2: Data Science Topics

Module 3: Data Science in Business

Some of the crucial skills one learns in this course include predictive modeling, NumPy, matplotlib and model selection.

Insider Tips

To get the best out of this course, I have included some important tips below that I think you might find useful.

Assessment and Grading Criteria

The assessment method requires completing assignments and undertaking projects under various modules throughout the degree. The assessments are conducted every week after each topic is covered extensively.

Hands-on Training

Data Science Basics online course is developed to help learners understand the components of data streaming systems. The modules of this course are detail-oriented, comprehensive and practical.

Apart from theoretical concepts, the learners also learn through hands-on training. Students are trained to compile data, run analytics, and extract insights from reports generated by the concerned console. The course offers learning by solving real-life cases; these provide extensive exposure to the candidates.

Final Take

Currently, I’m an undergraduate student. I would like to recommend this course to beginners looking to make a mark in the concerned domain as you would hear from real data scientists with an abundance of experience from top institutions, who will be imparting to you the technicalities of the domain in this curriculum. Personally, this course helped me understand what data science is and where it is used in today’s time.

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