DS Unit 1 - Sprint 1: Data Wrangling and Storytelling
Welcome to Sprint 1 of the Data Science curriculum! This sprint focuses on Data Wrangling and Storytelling - essential skills for every data scientist. You'll learn how to import, clean, transform, and visualize data to communicate insights effectively.
Throughout this sprint, you'll work with Python, pandas, and matplotlib to manipulate data and create meaningful visualizations. By the end of the sprint, you'll be able to take raw data, process it into a usable format, and create visualizations that tell a compelling story.
We'll first review Python, basic data structures, and how they can be used in data analytics. You'll learn how to write simple Python programs and begin to develop and hone your programming skills.
Modules
Module 1
Python Fundamentals
Learn the basics of Python and data structures, and how they can be used for data analysis. Develop proficiency in Python programming to build a foundation for your data science career.
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Exploratory Data Analysis & Feature Engineering
Master loading data from different sources, exploring datasets with pandas, and engineering features to prepare data for visualization and modeling.
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Join and Reshape Data
Learn techniques for combining multiple datasets and restructuring data to better suit your analysis needs, including concatenation, merging, and pivoting.
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Make Explanatory Visualizations
Develop skills to create clear, effective, and compelling visualizations using matplotlib and other Python libraries to communicate data insights.
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