Data Analytics and Visualization with Tableau and more

Overview

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.

The journey begins with Alteryx, where you'll learn to clean, filter, and analyze data while automating workflows. You will then seamlessly transition into Qlik Sense, mastering data loading, chart creation, and advanced analysis techniques.

Next, you'll dive into R programming to gain a deeper understanding of data manipulation, statistical analysis, and project implementation. Finally, Tableau will guide you in creating interactive dashboards, spatial charts, and publishing visual insights for impactful storytelling.

This course is perfect for data enthusiasts, business analysts, and professionals seeking actionable skills in modern analytics tools. Prior experience in data handling is helpful but not mandatory.

Whether you're a beginner or looking to refine your expertise, this course caters to all levels.

Syllabus

• Introduction to Alteryx for Beginners
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.
• Getting Started in Qlik Sense - Beginner to Master
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.
• R Programming for Beginners: Includes R Mini-Project!
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.
• Tableau for Beginners - Getting Started in Tableau
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.

Taught by

Packt - Course Instructors

Subjects

Data Science