- Data Science
- Relational Database Management System (RDBMS)
- Cloud Databases
- Python Programming
- SQL
Introduction to Data Science
Completed by Abigail Lewis Johnson
July 17, 2020
Approximately 5 months at 4 hours a week to completeAbigail Lewis Johnson's account is verified. Coursera certifies their successful completion of IBM Skills Network Introduction to Data Science Specialization.
Course Certificates Completed
What is Data Science?
Tools for Data Science
Data Science Methodology
Databases and SQL for Data Science with Python
What you will learn
Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists Â
Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson StudioÂ
Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems
Write SQL statements and query Cloud databases using Python from Jupyter notebooks
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
What is Data Science?
IBM Skills Network
Taught by: Rav Ahuja & Alex Aklson
Completed by: Abigail Lewis Johnson by August 14, 2019
3 weeks of study, 2-3 hours/week
Tools for Data Science
IBM Skills Network
Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler
Completed by: Abigail Lewis Johnson by August 28, 2019
3 weeks of study, 2-3 hours/week
Data Science Methodology
IBM Skills Network
Taught by: Alex Aklson & Polong Lin
Completed by: Abigail Lewis Johnson by September 12, 2019
3 weeks of study, 2 - 3 hours/week
Databases and SQL for Data Science with Python
IBM Skills Network
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: Abigail Lewis Johnson by July 17, 2020
6 weeks of study, 2-4 hours/week.
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