Data Analysis with Python

Data Analysis using Python and popular open-source libraries like pandas, scikit-learn and numpy and transform data into insights.

We will work on how to:

• Import data sets
• Clean and prepare data for analysis
• Manipulate pandas DataFrame
• Summarize data
• Build machine learning models using scikit-learn
• Build data pipelines

It includes the following parts: Data Analysis libraries:

• We will use Pandas DataFrames, Numpy multi-dimensional arrays, and SciPy libraries to work with various datasets.
• Pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets.
• Another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.