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Completed by YEHUDA SHIMON TAYLOR

September 29, 2023

Approximately 4 months at 10 hours a week to complete

YEHUDA SHIMON TAYLOR's account is verified. Coursera certifies their successful completion of IBM IBM Data Science Specialization.

Course Certificates Completed

Data Analysis with Python

Applied Data Science Capstone

What is Data Science?

Tools for Data Science

Python Project for Data Science

Databases and SQL for Data Science with Python

Data Science Methodology

Python for Data Science, AI & Development

Machine Learning with Python

Data Visualization with Python

IBM Data Science

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660K 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 YEHUDA SHIMON TAYLOR, 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 Analysis with Python

IBM

Taught by: Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by August 29, 2023

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

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Applied Data Science Capstone

IBM

Taught by: Yan Luo & Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by September 29, 2023

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: YEHUDA SHIMON TAYLOR by May 10, 2023

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

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Tools for Data Science

IBM

Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler

Completed by: YEHUDA SHIMON TAYLOR by June 2, 2023

3 weeks of study, 2-3 hours/week

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Python Project for Data Science

IBM

Taught by: Azim Hirjani & Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by July 28, 2023

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Databases and SQL for Data Science with Python

IBM

Taught by: Rav Ahuja & Hima Vasudevan

Completed by: YEHUDA SHIMON TAYLOR by August 10, 2023

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

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Data Science Methodology

IBM

Taught by: Alex Aklson & Polong Lin

Completed by: YEHUDA SHIMON TAYLOR by June 7, 2023

3 weeks of study, 2 - 3 hours/week

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Python for Data Science, AI & Development

IBM

Taught by: Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by July 25, 2023

5 weeks of study, 3-6 hours per week

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Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by September 27, 2023

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

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Data Visualization with Python

IBM

Taught by: Saishruthi Swaminathan & Dr. Pooja

Completed by: YEHUDA SHIMON TAYLOR by September 21, 2023

3 weeks of study, 4-5 hours/week

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