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Completed by Ming Hui Goh

November 16, 2018

Approximately 4 months at 10 hours a week to complete

Ming Hui Goh's account is verified. Coursera certifies their successful completion of IBM IBM Data Science Specialization.

Course Certificates Completed

Data Science Methodology

Data Visualization with Python

Python for Data Science, AI & Development

Tools for Data Science

Data Analysis with Python

Machine Learning with Python

Databases and SQL for Data Science with Python

Applied Data Science Capstone

What is Data Science?

IBM Data Science

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650K Students Enrolled

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What you will learn

Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles
Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL
Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines
Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers

Skills you will gain

Generative AI
Data Science

View certificate for Ming Hui Goh, IBM Data Science, offered through Coursera. In this Professional Certificate learners developed and honed hands-on skills in Data Science and Machine Learning. Learners started with an orientation of Data Science and its Methodology, became familiar and used a variety of data science tools, learned Python and SQL, performed Data Visualization and Analysis, and created Machine Learning models. In the process they completed several labs and assignments on the cloud including a Capstone Project at the end to apply and demonstrate their knowledge and skills.

Course Certificates

Earned after completing each course in the Specialization

Data Science Methodology

IBM

Taught by: Alex Aklson & Polong Lin

Completed by: Ming Hui Goh by November 12, 2018

3 weeks of study, 2 - 3 hours/week

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Data Visualization with Python

IBM

Taught by: Saishruthi Swaminathan & Dr. Pooja

Completed by: Ming Hui Goh by November 15, 2018

3 weeks of study, 4-5 hours/week

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Python for Data Science, AI & Development

IBM

Taught by: Joseph Santarcangelo

Completed by: Ming Hui Goh by November 13, 2018

5 weeks of study, 3-6 hours per week

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Tools for Data Science

IBM

Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler

Completed by: Ming Hui Goh by November 13, 2018

3 weeks of study, 2-3 hours/week

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Data Analysis with Python

IBM

Taught by: Joseph Santarcangelo

Completed by: Ming Hui Goh by November 12, 2018

This course requires approximately two hours a week for six weeks.

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Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: Ming Hui Goh by November 14, 2018

5-6 weeks of study, 3-6 hours per week

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Databases and SQL for Data Science with Python

IBM

Taught by: Rav Ahuja & Hima Vasudevan

Completed by: Ming Hui Goh by November 13, 2018

6 weeks of study, 2-4 hours/week.

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Applied Data Science Capstone

IBM

Taught by: Yan Luo & Joseph Santarcangelo

Completed by: Ming Hui Goh by November 16, 2018

5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)

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What is Data Science?

IBM

Taught by: Rav Ahuja & Alex Aklson

Completed by: Ming Hui Goh by November 12, 2018

3 weeks of study, 2-3 hours/week, 1 optional week

View this certificate