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Completed by STACEY BELLE ADAMS

September 7, 2021

Approximately 4 months at 10 hours a week to complete

STACEY BELLE ADAMS's account is verified. Coursera certifies their successful completion of IBM IBM Data Science Specialization.

Course Certificates Completed

Applied Data Science Capstone

Tools for Data Science

What is Data Science?

Python for Data Science, AI & Development

Machine Learning with Python

Data Analysis with Python

Databases and SQL for Data Science with Python

Data Science Methodology

Python Project for Data Science

Data Visualization with Python

IBM Data Science

4.6 (75,900 ratings)

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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 STACEY BELLE ADAMS, 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

Applied Data Science Capstone

IBM

Taught by: Yan Luo & Joseph Santarcangelo

Completed by: STACEY BELLE ADAMS by September 7, 2021

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

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Tools for Data Science

IBM

Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler

Completed by: STACEY BELLE ADAMS by October 7, 2020

3 weeks of study, 2-3 hours/week

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What is Data Science?

IBM

Taught by: Rav Ahuja & Alex Aklson

Completed by: STACEY BELLE ADAMS by October 7, 2020

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

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Python for Data Science, AI & Development

IBM

Taught by: Joseph Santarcangelo

Completed by: STACEY BELLE ADAMS by September 9, 2020

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: STACEY BELLE ADAMS by July 26, 2021

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

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Data Analysis with Python

IBM

Taught by: Joseph Santarcangelo

Completed by: STACEY BELLE ADAMS by September 14, 2020

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

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Databases and SQL for Data Science with Python

IBM

Taught by: Rav Ahuja & Hima Vasudevan

Completed by: STACEY BELLE ADAMS by September 7, 2020

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

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Data Science Methodology

IBM

Taught by: Alex Aklson & Polong Lin

Completed by: STACEY BELLE ADAMS by August 31, 2020

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: STACEY BELLE ADAMS by July 28, 2021

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Data Visualization with Python

IBM

Taught by: Saishruthi Swaminathan & Dr. Pooja

Completed by: STACEY BELLE ADAMS by October 11, 2020

3 weeks of study, 4-5 hours/week

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