Data Analysis Using Python

What you will learn from this course

Apply basic data science techniques using Python
Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib
Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data
Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization
Overview of loading, inspecting, and exploring data using Python’s simple csv library
Overview of Jupyter Notebook and a concise review of basic Python
How to filter and sort data
Core concepts like the Data Frame and joining data
Basic computations over the data
How to build a simple recommendation system, and approaches for cleaning data, dealing with missing values, and creating new data.
Overview of the process of aggregating, summarizing, and visualizing data
How to display results in a pivot table using pandas
How to prepare and visualize data using a histogram and scatterplot

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