Python for Data Science, AI & Development

📄 Summary

This course teaches Python fundamentals, including data structures and data analysis, and these skills are used throughout the following courses.

📑 Main Topics

• Python basics
• Python data structures
• Programming fundamentals
• Simple APIs
• Rest APIs & HTTP Request, webscraping and working with files
• HTML for webscraping

🔑 Key Skills Learned

• Core Python programming skills
• Data Analysis in Python using Python libraries such as Pandas, Numpy, Plotly and Beautiful Soup.
• Access web data using APIs and web scraping from Python in Jupyter Notebooks.
• Used Python to perform tasks such as data collection and web scraping with APIs.

🏆 Certificates

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

This badge earner has the core skills in Python such as critical data structures, programming fundamentals and experience with core libraries for data science. They can apply this knowledge to work with data and develop applications for data science. The individual also has sufficient Python knowledge to work with Python libraries.

🛠️ Tools

The following tools were used to complete this certification:

(Python, Jupyter, GitHub, IBM Watson Studio, IBM Cloud Pak)

📖 Libraries

The following Python libraries were used throughout the certification: