Data Science Fundamentals with Python and SQL
Completed by Nur Andi Setiabudi
June 12, 2021
Approximately 2 months at 10 hours a week to completeNur Andi Setiabudi's account is verified. Coursera certifies their successful completion of IBM Data Science Fundamentals with Python and SQL Specialization.
Course Certificates Completed
Python for Data Science, AI & Development
Tools for Data Science
Python Project for Data Science
Statistics for Data Science with Python
Databases and SQL for Data Science with Python
What you will learn
Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio
Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy
Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression
Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables
Course Certificates
Earned after completing each course in the Specialization
Python for Data Science, AI & Development
IBM
Taught by: Joseph Santarcangelo
Completed by: Nur Andi Setiabudi by June 1, 2021
5 weeks of study, 3-6 hours per week
Tools for Data Science
IBM
Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler
Completed by: Nur Andi Setiabudi by June 1, 2021
3 weeks of study, 2-3 hours/week
Python Project for Data Science
IBM
Taught by: Azim Hirjani & Joseph Santarcangelo
Completed by: Nur Andi Setiabudi by June 3, 2021
Statistics for Data Science with Python
IBM
Taught by: Murtaza Haider & Aije Egwaikhide
Completed by: Nur Andi Setiabudi by June 4, 2021
Databases and SQL for Data Science with Python
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: Nur Andi Setiabudi by June 12, 2021
6 weeks of study, 2-4 hours/week.