Unlock the power of data with Data Analytics and Visualization with Tableau & More, a comprehensive course designed to transform you into a data-driven professional. From mastering the fundamentals of Alteryx workflows to advanced data visualizations in Tableau, this course offers hands-on learning to automate data processes, prepare datasets, and create compelling insights.
Data Analytics and Visualization with Tableau and more
Data Analytics and Visualization with Tableau and more
This course is part of Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau Specialization
Instructor: Packt - Course Instructors
Access provided by New York State Department of Labor
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
27 hours to complete
3 weeks at 9 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Automate workflows and manipulate datasets using Alteryx Designer
Build dynamic dashboards and analyze data with Tableau and Qlik Sense
Develop statistical models and perform advanced analyses using R
Create compelling visual stories and publish data insights effectively
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
Recently updated!
February 2025
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This course is part of the Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 4 modules in this course
In this module, we will explore the basics of Alteryx, starting with its intuitive interface and essential tools. You'll learn how to build workflows, manage data types, and automate processes for faster and more accurate data preparation. This section also covers data cleansing, filtering, and combining techniques, along with tips for Excel and SQL analysts transitioning to Alteryx.
What's included
35 videos2 readings1 assignment
In this module, we will dive into Qlik Sense, starting with its interface and progressing to advanced visualization techniques. You'll learn how to load and manipulate data, build charts, and share insights effectively. Practical exercises and examples will help you master Qlik Sense features, from data aggregation to creating interactive dashboards.
What's included
35 videos1 assignment
In this module, we will introduce R programming, focusing on its role in data science. You'll learn to set up your workspace, work with data structures, and perform calculations using loops and functions. The section concludes with a hands-on mini-project to solidify your understanding and showcase your skills in analyzing and visualizing data.
What's included
71 videos1 assignment
In this module, we will delve into Tableau, starting from its interface to advanced visualization techniques. You'll learn to connect to data sources, build interactive dashboards, and create compelling data stories. Practical exercises will reinforce concepts such as expressions, analytical functions, and publishing workbooks for collaborative use.
What's included
33 videos1 reading2 assignments
Instructor
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