Certifications Guide: BIGDataAIHub
BIGDataAIHub
The resources below have been curated by IMI BigDataAIHub. They include free and free-to-audit courses, certifications, tutorials, and learning materials.
| Certification | Provider | Description | Time to complete |
|---|---|---|---|
| Python and Pandas Fundamentals | IMIBigDataHub | A video from UTM faculty teaching Python basics, including syntax, data types, control structures, and functions |
2 hours |
| Python Data Science Handbook | Jake VanderPlas | A guide for data analysis using Python, covering essential libraries such as IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn, and offering practical guidance through Jupyter notebooks. |
eBook |
| Python for Data Analysis | Wes McKinney | A guide to using Python for data analysis, covering topics such as data wrangling with pandas, numerical computing with NumPy, and data visualization with matplotlib. |
eBook |
| Python Pandas Tutorial (Part 2): DataFrame and Series Basics - Selecting Rows and Columns | IMIBigDataHub | A video from Corey Schafer that provides an introduction to the fundamental data structures in the Pandas library
|
35 mins |
| Supervised Learning with scikit-learn | Teaches how to build predictive models using real-world datasets, covering classification, regression, and model evaluation techniques. |
4 hours | |
| Transform your business with Microsoft AI | Microsoft Learn | Learn how businesses can use AI responsibly and effectively, exploring strategy and Microsoft tools like Azure OpenAI Service. |
3 hours |
| Unsupervised learning in Python | DataCamp | Teaches how to identify natural groupings within data using methods like K-Means and hierarchical clustering. |
4 hours |