
Joseph Santarcangelo
PhD., Data Scientist
Learn how to analyze data using Python in this introductory course. You will go from understanding the basics of Python to exploring many different types of data through lecture, hands-on labs, and assignments. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
You will learn how to:
It includes following parts:
Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.
Module 1 - Importing Datasets
Module 2 - Cleaning and Preparing the Data
Module 3 - Summarizing the Data Frame
Module 4 - Model Development
Module 5 - Model Evaluation
PhD., Data Scientist
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