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Data Science Basics

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 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 steps

    Cleaning Data

    Filter through data to find specific characteristics 5 steps

    Exporting

    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 steps

    Charts and Tables

    Now that you have your usable data, how to view it depends on your audience and their needs. 6 steps

    Creating 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


Course Fee:
USD 25

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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