kk289 / IBM-Data-Science

This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.

IBM Data Science

Course Info:

Course 1: What is Data Science?

Taught by:
Alex Aklson, Ph.D., Data Scientist, IBM Developer Skills Network
Polong Lin, Data Scientist, IBM Developer Skills Network
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Course 2: Tools for Data Science

Taught by:
Romeo Kienzler, Chief Data Scientist, Course Lead, IBM Watson
Svetlana Levitan, Senior Developer Advocate with IBM Center for Open Data and AI Technologies
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Course 3: Data Science Methodology

Taught by:
Alex Aklson, Ph.D., Data Scientist, IBM Developer Skills Network
Polong Lin, Data Scientist, IBM Developer Skills Network
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Course 4: Python for Data Science and AI

Taught by:
Joseph Santarcangelo, Ph.D., Data Scientist at IBM, IBM Developer Skills Network
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Course 5: Databases and SQL for Data Science

Taught by:
Rav Ahuja, AI and Data Science Program Director, IBM
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Course 6: Data Analysis with Python

Taught by:
Joseph Santarcangelo, Ph.D., Data Scientist at IBM, IBM Developer Skills Network
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Course 7: Data Visualization with Python

Taught by:
Alex Aklson, Ph.D., Data Scientist, IBM Developer Skills Network
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Course 8: Machine Learning with Python

Taught by:
Saeed Aghabozorgi, Ph.D., Sr. Data Scientist, IBM Developer Skills Network
Joseph Santarcangelo, Ph.D., Data Scientist at IBM, IBM Developer Skills Network
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Course 8: Applied Data Science Capstone

Taught by:
Alex Aklson, Ph.D., Data Scientist, IBM Developer Skills Network
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