IBM-Data-Science-Professional-Certificate

Back in January, 2019, I did these projects many years ago as a requirement to obtain my IBM Data Science Professional Certificate.

About This Certificate

• Certificate name: Data Science Professional Certificate
• Certificate URL: https://coursera.org/share/5cf76b4a724b6f51c8aafdcdd1ed8396
• Issued by Coursera
• Authorized by IBM

I have been awarded 13 badges on obtaining this certificate

• https://www.credly.com/users/mohamed-abbas.1f43f901/badges
• https://www.credly.com/org/ibm/badge/data-science-professional-certificate-v2

What Credly tells about me

The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python libraries to generate data visualizations - perform data analysis using Pandas - construct & evaluate Machine Learning (ML) models using Scikit-learn & SciPy and apply data science & ML techniques to real location data sets.

Earning Criteria

Complete all courses in the IBM Data Science Professional Certificate program on Coursera (includes quizzes, hands-on assignments and projects), and earn the following badges:

• Data Science Orientation
• Tools for Data Science
• Data Science Methodology
• Python for Data Science and AI
• Databases and SQL for Data Science
• Data Visualization with Python
• Data Analysis with Python
• Machine Learning with Python
• Applied Data Science Capstone
• Python Project for Data Science
• Receive the Data Science Professional Certificate from Coursera.
• Haga clic aquí para la versión en Español: Ciencia de Datos de IBM Professional Certificate

Endorsements

American Council on Education CREDIT

This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 12 college credits. For more information about ACE Learning Evaluations, visit www.acenet.edu.

Skills

• AI
• Artificial Intelligence
• Bokeh
• Classification
• Clustering
• Data Analysis
• Database
• Data Science
• Data Visualization
• Db2
• Folium
• Foursquare
• IBM Cloud
• Jupyter
• Location
• Machine Learning
• Matplotlib
• Methodology
• ML
• Notebook
• NumPy
• Pandas
• Python
• Recommender Systems
• Regression
• RStudio
• Scikit-learn
• SciPy
• Seaborn
• SQL
• Studio
• Watson
• Zeppelin

Certificate Verification

• https://www.coursera.org/account/accomplishments/specialization/certificate/7ECY2S6SQBEJ
• https://www.credly.com/badges/3bcd7d62-335a-462f-9075-68e17e96ae12