July 29, 2020
Approximately 44 weeks to complete.BORIS KISOV's account is verified. Coursera certifies their successful completion of IBM IBM Data Science Specialization.
Course Certificates Completed
Python for Data Science, AI & Development
Machine Learning with Python
Databases and SQL for Data Science with Python
What is Data Science?
Data Science Methodology
Applied Data Science Capstone
Tools for Data Science
Data Visualization with Python
Data Analysis with Python
Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist
Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
Apply various data science skills, techniques, and tools to complete a project and publish a report
Earned after completing each course in the Specialization
IBM
Taught by: Joseph Santarcangelo
Completed by: BORIS KISOV by July 29, 2020
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: BORIS KISOV by July 29, 2020
5-6 weeks of study, 3-6 hours per week
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: BORIS KISOV by July 28, 2020
4 weeks of study, 2-4 hours/week.
IBM
Taught by: Rav Ahuja & Alex Aklson
Completed by: BORIS KISOV by July 9, 2020
3 weeks of study, 2-3 hours/week
IBM
Taught by: Alex Aklson & Polong Lin
Completed by: BORIS KISOV by July 13, 2020
3 weeks of study, 2 - 3 hours/week
IBM
Taught by: Yan Luo & Joseph Santarcangelo
Completed by: BORIS KISOV by July 29, 2020
5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)
IBM
Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler
Completed by: BORIS KISOV by July 13, 2020
3 weeks of study, 2-3 hours/week
IBM
Taught by: Saishruthi Swaminathan
Completed by: BORIS KISOV by July 28, 2020
3 weeks of study, 4-5 hours/week
IBM
Taught by: Joseph Santarcangelo
Completed by: BORIS KISOV by July 28, 2020
This course requires approximately two hours a week for six weeks.