What you’ll learn from IBM Data Analysis with Python Course
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Develop Python code for cleaning and preparing data for analysis – including handling missing values, formatting, normalizing, and binning data
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Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy
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Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines
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Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making
