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)
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
Apply Python for Practical Financial Data Analysis
→ Analyze financial data with Python→ Visualize market trends→ Interpret financial indicators
How To Install Python for Data Science
→ Install Python for data science→ Set up interactive data visualization
Mastering Python for Data Science
→ Analyze data with Python→ Visualize data using popular libraries
Python Data Science: pandas, Matplotlib, and Seaborn
→ Create DataFrames→ Plot DataFrame data
Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)
→ Analyze data using Python libraries→ Create visualizations with Matplotlib and Seaborn
Advanced Python for Data Analysis: Build & Optimize
→ Apply advanced Python techniques for data analysis→ Optimize data analysis with NumPy
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