Udacity

Creating an Analytical Dataset (Udacity)

Offered by Udacity, Alteryx,
Creating an Analytical Dataset (Udacity)

Prepare data for analysis and modeling. The Creating an Analytical Dataset course provides students with foundational knowledge to input, clean, blend, and format data in preparation for analysis.

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

You will learn:

  • The common sources and types of data
  • To identify and correct common issues with data
  • To format data in useful ways for analysis
  • To blend data from multiple sources together

Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx. At the end of the course, you’ll complete a project based on the principles in the course..
Udacity's Intro to Programming is your first step towards careers in Web and App Development, Machine Learning, Data Science, AI, and more! This program is perfect for beginners.
Ever heard of the term garbage in, garbage out? This is as true in analytics as it is anywhere else. In this course, you’ll learn how to prepare data to ensure the efficacy of your analysis, a foundational skill for anyone using advanced analytics. You'll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly. This course is ideal for anyone who is interested in pursuing a career in business analysis, but lacks programming experience.
This course is part of the Business Analyst Nanodegree Program.

What You Will Learn

Lesson 1
Understanding Data

  • Learn to identify structured, unstructured, and semistructured data.
  • Get an introduction to the most common data types.
  • Learn about the most common sources of data.

Lesson 2
Data Issues

  • Learn to clean dirty data.
  • Learn to how to adjust for missing data.
  • Be able to identify and correct outliers.

Lesson 3
Data Formatting

  • Learn about the importance of data format for analysis.
  • Transpose, aggregate, and cross tabulate data.
  • Learn how to use parse data.

Lesson 4
Data Blending

  • Learn how to merge data from multiple sources.
  • Learn to use common data blending techniques.
  • Explore fuzzy matching and spatial analysis

Prerequisites and Requirements

  • No programming experience required
  • Interested in using data to make better business decisions
  • Alteryx license (provided to nanodegree students at no cost, compatible with Windows only)
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