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• How-to install Python and Anaconda - the worlds largest Data Science platform.
• How-to create a virtual environment using Conda.
• How-to setup the Atom Text Editor.
• How to clone a GitHub Repository in Atom Text Editor.
• How-to create a new branch in Atom Text Editor.
• Use Python Pandas to read in large data-sets such as stock price information, customer information, purchase information and more.
• Use Pandas DataFrames to work with tabular data.
• Inspect datasets to gain quick valuable insights.
• Use conditional filtering to select relevant information from datasets.
• Using NumPy and Pandas together.
• Create Pandas DataFrames from scratch.
• Create DataFrames from Python dictionaries.
• Using Broadcasting with DataFrames.
• Correctly labeling data and columns.
• Data cleansing techniques.
• Using Python Pandas to create graphical plots such as bar, line, area, scatter etc.
• How-to analysis datasets using statistical methods such as min, mas, mean, std.
• Create filters in your code to extract targeted data from large datasets.
• How-to manage time data in Python with Pandas.
• Correctly index time data and create DateTime indexes.
• Partial String Indexing and slicing.
• Resampling Pandas Time Data.
• Method Chaining.
• Separating and Resampling.