Tableau Certified Data Analyst Course Overview

Course Prerequisites

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.