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Completed by Mark Russel Calatrava Miranda

April 12, 2020

Approximately 4 months at 10 hours a week to complete

Mark Russel Calatrava Miranda's account is verified. Coursera certifies their successful completion of IBM IBM Data Science Specialization.

Course Certificates Completed

Data Analysis with Python

Data Visualization with Python

Applied Data Science Capstone

Python for Data Science, AI & Development

Databases and SQL for Data Science with Python

What is Data Science?

Machine Learning with Python

Data Science Methodology

Tools for Data Science

IBM Data Science

4.6 (76,438 ratings)

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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 Mark Russel Calatrava Miranda, 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: Mark Russel Calatrava Miranda by April 8, 2020

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

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Data Visualization with Python

IBM

Taught by: Saishruthi Swaminathan & Dr. Pooja

Completed by: Mark Russel Calatrava Miranda by April 9, 2020

3 weeks of study, 4-5 hours/week

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Applied Data Science Capstone

IBM

Taught by: Yan Luo & Joseph Santarcangelo

Completed by: Mark Russel Calatrava Miranda by April 12, 2020

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

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Python for Data Science, AI & Development

IBM

Taught by: Joseph Santarcangelo

Completed by: Mark Russel Calatrava Miranda by March 19, 2020

5 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: Mark Russel Calatrava Miranda by April 1, 2020

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

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What is Data Science?

IBM

Taught by: Rav Ahuja & Alex Aklson

Completed by: Mark Russel Calatrava Miranda by March 16, 2020

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

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Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: Mark Russel Calatrava Miranda by April 11, 2020

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

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Data Science Methodology

IBM

Taught by: Alex Aklson & Polong Lin

Completed by: Mark Russel Calatrava Miranda by March 17, 2020

3 weeks of study, 2 - 3 hours/week

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Tools for Data Science

IBM

Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler

Completed by: Mark Russel Calatrava Miranda by March 17, 2020

3 weeks of study, 2-3 hours/week

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