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The IBM Data Science Professional Certification consists of 10 online courses that provide the tools and skills to succeed in data science, including use of open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms.

This repository contains documentation and resources used to complete the certification, relevant notes and other code snippets, and proof of certification for each course.

• ✅ 01. What is Data Science?
• ✅ 02. Tools for Data Science
• ✅ 03. Data Science Methodology
• ✅ 04. Python for Data Science, AI & Development
• ✅ 05. Python Project for Data Science
• ✅ 06. Databases and SQL for Data Science with Python
• ✅ 07. Data Analysis with Python
• ✅ 08. Data Visualization with Python
• ✅ 09. Machine Learning with Python
• ✅ 10. Applied Data Science Capstone

The following tools were used to complete this certification:

The following Python libraries were used throughout the certification:

• Extracting and Visualizing Stock Data
• Chicago Census, Crime, and School Data Analysis using SQL
• House Price Predictions
• US Domestic Airline Flights Performance Dashboard
• Best Classifier Model
• Predicting Successful Rocket Landings
• Dashboard and Interactive Map

To verify the certificates, click the images to follow the links.