The future of software development lies in AI, machine learning, and data science. And Python is the language of choice for most data scientists. Learn how to use popular tools and libraries such as Jupyter noteboooks, NumPy, Matplotlib, and scikit-learn to do data science the Python way in this step-by-step series from Eric Greene.
Course Title | Author | Duration | Topic(s) |
---|---|---|---|
Getting Started with Data Science using Python | Eric Greene | 00:48:32 | Data Science, Python |
Statistics with Python, Part 1 | Eric Greene | 01:06:24 | Data Science, NumPy, Python |
Statistics with Python, Part 2 | Eric Greene | 01:04:33 | Data Science, SciPy, NumPy, Python |
Statistics with Python, Part 3 | Eric Greene | 01:16:47 | Matplotlib, SciPy, Python, NumPy, Data Science, Pandas |
Working with Data using Pandas | Eric Greene | 00:56:15 | Data Science, Python, Pandas |
Linear Regression in Python | Eric Greene | 01:19:37 | scikit-learn, Machine Learning, Python |
Classification with Support Vector Machines | Eric Greene | 01:01:39 | Python, scikit-learn, Support Vector Machines, Machine Learning |