Tableau Certified Data Analyst Course Overview

To ensure you have a successful learning experience in the Tableau Certified Data Analyst course, the following are the minimum required prerequisites:

• Basic understanding of data concepts: Familiarity with data types and structures is important as Tableau is a data visualization tool.
• Fundamental computer skills: Ability to navigate the operating system (Windows or macOS), manage files and folders, and a basic understanding of how to use a spreadsheet application like Microsoft Excel.
• Analytical thinking: An inclination towards problem-solving and analytical thinking will be beneficial when working with data sets and creating visualizations.
• No prior experience with Tableau is necessary, but having a general awareness of business intelligence (BI) concepts can be helpful.
• Willingness to learn: A positive attitude and eagerness to learn new skills and concepts are crucial for this training.

Please note that this course is designed to accommodate beginners as well as those looking to formalize and expand their Tableau knowledge, so do not hesitate to enroll even if you have limited experience with data analysis tools.

Target Audience for Tableau Certified Data Analyst

Koenig Solutions' Tableau Certified Data Analyst course provides in-depth training on data visualization and analytics using Tableau.

Target audience for the Tableau Certified Data Analyst course includes:

• Data Analysts seeking to enhance their visualization skills
• Business Intelligence Professionals looking to master Tableau for data storytelling
• Data Scientists who want to communicate data insights more effectively
• Business Analysts interested in improving their reporting capabilities
• Marketing Analysts aiming to visualize consumer data for strategic decisions
• IT Professionals who are responsible for data reporting and analytics
• Project Managers needing to create data-driven presentations and dashboards
• Data-driven Managers looking to make informed decisions based on visualized data
• Consultants who provide insights and recommendations based on data analysis
• Students and Academics pursuing careers in data-centric fields
• Professionals seeking to switch careers to a data-focused role
• Anyone interested in gaining a Tableau certification to validate their data visualization skills

Learning Objectives - What you will Learn in this Tableau Certified Data Analyst?

Introduction to the Tableau Certified Data Analyst Course Learning Outcomes:

Gain expertise in Tableau's core functionalities to transform data into actionable insights, create compelling visualizations, and develop interactive dashboards for data-driven decision-making.

Learning Objectives and Outcomes:

• Understand the fundamental concepts of Tableau and how to navigate the Tableau Desktop environment.
• Learn to connect to various data sources and perform data extraction for efficient analysis.
• Master the creation of various chart types including scatter plots, pie charts, histograms, and more to visually represent data.
• Develop skills in data preparation techniques such as creating relationships, joins, unions, and blending data sources.
• Acquire the ability to perform complex calculations, including calculated fields, aggregate functions, and Level of Detail (LOD) expressions for in-depth data analysis.
• Gain proficiency in utilizing table calculations to uncover deeper insights from data.
• Create dynamic visualizations using filters, parameters, groups, hierarchies, and sets to facilitate interactive data exploration.
• Learn to build geospatial visualizations with maps and perform analytical techniques like adding reference lines, trend lines, and forecasting.
• Design, build, and refine interactive dashboards and stories that effectively communicate findings and insights.
• Format and publish dashboards, data sources, and manage Prep Flows and workbooks for distribution and collaboration within your organization.