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Introduction to Data Science

Course

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!

  • Last Updated March 14, 2023

Prerequisites:

No experience required

Last Updated March 14, 2023

Prerequisites:

No experience required

Course Lessons

Lesson 1

Introduction

Learn what data scientists do, receive an introduction to Python's most common data science libraries, and get hands on practice working with data.

Lesson 2

Problem Set 1: Titanic Survivor Data

Practice using NumPy and Pandas to predict survival rates for Titanic passengers.

Lesson 3

Data Wrangling

Learn to access, process, and clean different types of data.

Lesson 4

Problem Set 2: Wrangling Subway Data

Practice your data wrangling skills with New York Subway data.

Lesson 5

Data Analysis

Get an introduction to important data analysis tools used by data scientists, including statistical tests and machine learning models.

Lesson 6

Problem Set 3: Analyzing Subway Data

Apply statistics and machine learning to New York Subway data.

Lesson 7

Data Visualization

Learn when to use different plot types, how to encode different types of data, and get practical advice on how to visually represent your data in meaningful ways.

Lesson 8

Problem Set 4: Visualizing Subway Data

Apply data visualization techniques to explore and explain New York Subway data.

Lesson 9

MapReduce

Learn how to work with massive amounts of data using MapReduce and other big data tools.

Lesson 10

Problem Set 5: MapReduce on Subway Data

Practice using MapReduce to work with New York Subway data.

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Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

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