Introduction to Data Science

Completed by John Kirwan

November 16, 2019

Approximately 1 months at 10 hours a week to complete

Course Certificates Completed

What is Data Science?

Tools for Data Science

Data Science Methodology

Databases and SQL for Data Science with Python

Introduction to Data Science

IBM

4.7 (12,921 ratings)

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93K Students Enrolled

View certificate for John Kirwan, Introduction to Data Science, offered through Coursera. In this Specialization, learners developed foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The Specialization entailed understanding what Data Science is and the various kinds of activities that a Data Scientist performs. It familiarized learners with various open source tools, like Jupyter Notebooks, used by Data Scientists. It taught them about methodology involved in tackling data science problems. The Specialization also provided knowledge of relational database concepts and the use of SQL to query databases. Learners completed hands-on labs and projects to apply their newly acquired skills and knowledge.

Course Certificates

Earned after completing each course in the Specialization

What is Data Science?

IBM

Taught by: Rav Ahuja & Alex Aklson

Completed by: John Kirwan by June 17, 2019

3 weeks of study, 2-3 hours/week, 1 optional week

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Tools for Data Science

IBM

Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler

Completed by: John Kirwan by June 17, 2019

3 weeks of study, 2-3 hours/week

View this certificate

Data Science Methodology

IBM

Taught by: Alex Aklson & Polong Lin

Completed by: John Kirwan by June 17, 2019

3 weeks of study, 2 - 3 hours/week

View this certificate

Databases and SQL for Data Science with Python

IBM

Taught by: Rav Ahuja & Hima Vasudevan

Completed by: John Kirwan by June 23, 2019

6 weeks of study, 2-4 hours/week.

View this certificate