Looking for Best Introductory Data Science Course? Try this edX Program

Praveen Kumar

26 December 2022

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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 this data science course online, you will be able to interact with data science professionals and get an overview of data science.

In Introduction to Data Science course, real data scientists with ample experience will be teaching the learners all the technicalities of the domain. This course can be undertaken at one’s own pace, and they provide handy pre-recorded videos which you can watch at your own convenience. Moreover, learners who would go on to complete the course successfully can claim and earn a skill badge, a digital credential that profiles their knowledge and skills.

Alex Aklson, one of the prime instructors for this course, is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects, such as designing a smart system that can detect the onset of dementia in older adults using longitudinal trajectories of their walking speed and home activity.

"I recommend this course to every person interested in the field as it is a platform to meet, interact, and learn technicalities from real data scientists."

- Praveen Kumar

Course Structure

It is a self-paced, well-curated advanced-level introductory data science course spread over 6 weeks. It requires an effort of not more than 6 hours per week. The professors associated with this course have degrees from renowned institutions in cloud development. The program thus offers an excellent opportunity to study under international professors. Post-session moderated discussions held during the course provide great opportunities to make and build connections.

Some of the crucial skills one learns in this data science introduction course include Exploratory Data Analysis (EDA), data visualization, virtualization, advanced data wrangling techniques, etc. Post every video explanation; there is a small assessment at the end to validate your learning. The evaluations are planned to ensure ongoing student engagement with the program and encourage learning.

Technically, the curriculum is spread over 5 distinguished modules:

Module 1: Definition of Data Science and what Data Scientists do
Module 2: Tools and Algorithms used on a Daily Basis within the Field
Module 3: Skills Needed to be a Successful Data Scientist
Module 4: The Role of Data Science within a Business
Module 5: How to Form a Strong Data Science Team

Insider Tips

In order 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. These can be research-based or concept specific. The evaluations are designed to ensure continuous student engagement with the program and encourage learning.
Hands-on Training - Data science introductory 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 that provide extensive exposure to the candidates.

Final Take

Currently, I am doing my under graduation at Krishna Institute of Engineering and Technology (KIET) group of institutions. I took this introductory course to explore the technicalities involved in the Data Science domain. I recommend this course to every person interested in the field as it is a platform to meet, interact, and learn technicalities from real data scientists who have studied in top institutions and have ample experience in this field.

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