Engineering and Technology
Learn how to prepare data to ensure the efficacy of your analysis while improving fluency in Alteryx.
In the course Creating an Analytical Dataset on Udacity, you will gain a comprehensive understanding of data analysis. You will learn to identify different types of data, including structured, unstructured, and semistructured data, and explore the most common sources of data. Additionally, you will acquire the skills to clean dirty data, handle missing data, and identify and correct outliers. The course also covers the importance of data formatting for analysis, teaching you how to transpose, aggregate, and cross tabulate data, as well as how to parse data effectively. Furthermore, you will learn data blending techniques, including merging data from multiple sources, and explore concepts such as fuzzy matching and spatial analysis. By the end of this course, you will have the knowledge and skills necessary to create and analyze analytical datasets efficiently.
by Udacity
Learn how to prepare data to ensure the efficacy of your analysis while improving fluency in Alteryx...
by Udacity
For an app developer, providing a seamless user experience is critical for building engagement and g...
by Udacity
Utilize Microsoft Power BI as a primary tool for data pre-processing, visualization, and analysis.
by Udacity
Learn about the big data ecosystem and the power of Apache Spark for data wrangling and transformati...
by Udacity
Documentation is an important part of the development process. Learn to write READMEs using Markdown...
by Udacity
Learn how to design a data governance solution that meets an enterprise’s needs.
by Udacity
Find success as a full stack developer by focusing on topics like UI, UX, APIs, server side business...
by Udacity
Become an SQL power user with the ability complete complex tasks in SQL, including cleaning data and...
by Udacity
Turn an idea into reality. By the end of this course, you’ll learn how to bring an idea from concept...
by Udacity
Develop an understanding of containerized environments while working with Docker.
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