Python for Data
Analyse and visualise data with pandas, NumPy, and matplotlib in Jupyter.
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After this skill you can…
- Clean and transform a messy dataset with pandas
- Create publication-quality charts with matplotlib/seaborn
- Conduct exploratory data analysis in a Jupyter notebook
Prerequisites
Watch (10 videos)
Data Analysis with Python: Part 3 of 6 Numerical Computing with Numpy (Live Course)
→ Perform numerical computing with Numpy→ Analyze data with Pandas→ Visualize data with Python
Monte Carlo: Forecasting Stock Prices Part I
→ Import necessary libraries→ Manipulate data using Pandas→ Visualize data using Matplotlib
Real Estate Data Visualization Using Map in Python
→ Use Pandas for Data Manipulation→ Create Interactive Maps with Folium
Python Tutorial : Importing flat files from the web
→ Write Python code to import data→ Use pandas to load data
Python Tutorial : Meet the Tuples
→ Apply tuple concepts to data science problems→ Use tuples with zip and enumerate functions
How To Install Python for Data Science
→ Install Python for data science→ Set up interactive data visualization
Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)
→ Analyze data using Python libraries→ Create visualizations with Matplotlib and Seaborn
Help and Dir Functions - Python Quick Tips
→ Use help and dir functions in Python→ Gather information from Python objects and classes
Python Tutorial: VENV (Windows) - How to Use Virtual Environments with the Built-In venv Module
→ Create virtual environments in Python→ Use venv module on Windows
I Let Python Pick My March Madness Bracket - Bracket Simulation Tutorial
→ Build data-driven simulations using Python→ Implement weighted probability systems in Python
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