August 4, 2021
Approximately 5 months at 10 hours a week to completeBrandon Liau's account is verified. Coursera certifies their successful completion of IBM IBM Data Analyst Specialization.
Course Certificates Completed
Excel Basics for Data Analysis
Introduction to Data Analytics
Data Visualization with Python
Databases and SQL for Data Science with Python
Python Project for Data Science
Python for Data Science, AI & Development
Data Analysis with Python
Data Visualization and Dashboards with Excel and Cognos
IBM Data Analyst Capstone Project
Master the most up-to-date practical skills and tools that data analysts use in their daily roles
Learn how to visualize data and present findings using various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics & Tableau
Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
Gain technical experience through hands on labs and projects and build a portfolio to showcase your work
Earned after completing each course in the Specialization
IBM
Taught by: Sandip Saha Joy & Steve Ryan
Completed by: Brandon Liau by April 25, 2021
IBM
Taught by: Rav Ahuja
Completed by: Brandon Liau by April 23, 2021
IBM
Taught by: Saishruthi Swaminathan & Dr. Pooja
Completed by: Brandon Liau by July 12, 2021
3 weeks of study, 4-5 hours/week
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: Brandon Liau by June 6, 2021
6 weeks of study, 2-4 hours/week.
IBM
Taught by: Azim Hirjani & Joseph Santarcangelo
Completed by: Brandon Liau by May 22, 2021
IBM
Taught by: Joseph Santarcangelo
Completed by: Brandon Liau by May 15, 2021
5 weeks of study, 3-6 hours per week
IBM
Taught by: Joseph Santarcangelo
Completed by: Brandon Liau by June 19, 2021
This course requires approximately two hours a week for six weeks.
IBM
Taught by: Sandip Saha Joy, Kevin McFaul & Steve Ryan
Completed by: Brandon Liau by May 2, 2021
IBM
Taught by: Rav Ahuja & Ramesh Sannareddy
Completed by: Brandon Liau by August 4, 2021