Data Science Basics
Treehouse
Course Summary
This course will follow the basic procedures of conducting data science work, namely selecting and describing data, and munging it into a communicable form. At the end of this course, students will be able to pick a small dataset available online and, using Python language, quickly calculate descriptive statistics and show their results with basic charts and tables.
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Course Description
About this Course This course will follow the basic procedures of conducting data science work, namely selecting and describing data, and munging it into a communicable form. At the end of this course, students will be able to pick a small dataset available online and, using Python language, quickly calculate descriptive statistics and show their results with basic charts and tables. What you'll learn
- What Is Data Science?
- Loading Raw Data
- Cleaning Data
- MatPlotLib
- NumPy
- Creating Reports
About the Teacher
Besides teaching and research, Dr. Kat is an avid people watcher. She organizes open source tech events in the NYC area but also likes to keep up to date with the latest dance moves.
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Course Syllabus
Getting Started with Data Science
Learn one of the many techniques for harvesting raw data and summarizing it into knowledge to share with others. 5 steps- What is Data Science 2:18
- Selecting Data 3:39
- Obtaining Data 1:32
- Installing Libraries 1:58
- Review: What is Data Science 5 questions
Describing Data
We are going to be writing functions to get our raw data into better shape. This will help prepare the data to make creating reports easier. 7 stepsCleaning Data
Filter through data to find specific characteristics 5 stepsExporting
In this stage we’ll be exporting data into files, in case you want to save them for future reference, or open them in a different software such as your favorite spreadsheet application. 4 stepsCharts and Tables
Now that you have your usable data, how to view it depends on your audience and their needs. 6 stepsCreating Reports
The end goal to most data analysis projects is to share your findings. Let’s make charts easier to read as well as modifiable. 5 steps
