- Data Science
- Python Programming
- Cloud Databases
- SQL
- Relational Database Management System (RDBMS)
July 15, 2019
Approximately 1 months at 10 hours a week to completeBhavya Joshi's account is verified. Coursera certifies their successful completion of IBM 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
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
Earned after completing each course in the Specialization
IBM
Taught by: Rav Ahuja & Alex Aklson
Completed by: Bhavya Joshi by June 21, 2019
3 weeks of study, 2-3 hours/week, 1 optional week
IBM
Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler
Completed by: Bhavya Joshi by July 14, 2019
3 weeks of study, 2-3 hours/week
IBM
Taught by: Alex Aklson & Polong Lin
Completed by: Bhavya Joshi by July 15, 2019
3 weeks of study, 2 - 3 hours/week
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: Bhavya Joshi by May 26, 2019
6 weeks of study, 2-4 hours/week.