- Data Science
- Python Programming
- Cloud Databases
- SQL
- Relational Database Management System (RDBMS)
Introduction to Data Science
Completed by PIYAWASIN PIKROR-NGARN
November 26, 2020
Approximately 1 months at 10 hours a week to completePIYAWASIN PIKROR-NGARN'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
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
Taught by: Rav Ahuja & Alex Aklson
Completed by: PIYAWASIN PIKROR-NGARN by October 8, 2020
3 weeks of study, 2-3 hours/week, 1 optional week
Tools for Data Science
IBM
Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler
Completed by: PIYAWASIN PIKROR-NGARN by November 26, 2020
3 weeks of study, 2-3 hours/week
Data Science Methodology
IBM
Taught by: Alex Aklson & Polong Lin
Completed by: PIYAWASIN PIKROR-NGARN by October 10, 2020
3 weeks of study, 2 - 3 hours/week
Databases and SQL for Data Science with Python
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: PIYAWASIN PIKROR-NGARN by November 19, 2020
6 weeks of study, 2-4 hours/week.