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Tableau Desktop Certified Associate - Data Connections

Pooja Crahen

This course will teach you how to use Tableau with hands-on demos using data connections to get the right answers on the Tableau Desktop Certified Associate Exam.

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This course will teach you how to use Tableau with hands-on demos using data connections to get the right answers on the Tableau Desktop Certified Associate Exam.

Preparing for Tableau Certification requires hands-on practice. In this course, Tableau Desktop Certified Associate - Data Connections, you’ll learn how to use Tableau with hands-on demos to get the right answers on the Tableau Desktop Certified Associate exam. First, you’ll explore the data pane and canvas. Next, you’ll discover how you can prepare your data for analysis. Finally, you’ll learn how to join, union and blend your data. When you’re finished with this course, you’ll have the skills and knowledge of data connections needed to pass the Tableau Desktop Certified Associate exam.

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What's inside

Syllabus

Course Overview
Connecting to Your Data
Preparing Your Data

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for those seeking Tableau Desktop Certified Associate certification
Hands-on demos help learners apply concepts directly to the certification exam
Covers essential data connections skills required for Tableau certification
No prerequisite courses or prior knowledge is explicitly required

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Career center

Learners who complete Tableau Desktop Certified Associate - Data Connections will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their knowledge of math, statistics, and machine learning to extract insights from data. They often use Tableau to create dashboards and visualizations for stakeholders. This course can help you build a foundation in data analysis and visualization skills that are essential for Data Scientists.
Business Analyst
Business Analysts provide solutions to complex business problems. They use data to understand a business's operations and identify areas for improvement. This course can help you master the necessary data analysis skills for this role and enhance your problem-solving skills.
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics and statistics to solve complex problems in business and industry. They use tools like Tableau to analyze data and create visualizations. This course can help you develop the analytical skills needed for this role and can help you get started with Tableau, a popular tool in operations research.
Statistician
Statisticians use their knowledge of statistics and mathematics to collect, analyze, and interpret data. They use tools like Tableau to visualize and analyze data. This course can help you develop essential data analysis and visualization skills for this role, and can help you get started with Tableau, which is commonly used among statisticians.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use tools like Tableau to analyze data and create visualizations. This course can help you develop the data analysis and visualization skills needed for this role and can help you get started with Tableau, a tool commonly used in software engineering.
Data Analyst
Data Analysts leverage data and statistical modeling tools to extract knowledge from data. They use their analytical skills in tandem with tools like Tableau. This course is a great way to learn techniques used in data analysis and can help you build a solid foundation.
Financial Analyst
Financial Analysts use their knowledge of finance and economics to make sound investment decisions. They use tools like Tableau to analyze financial data and create reports. This course can help you develop the data analysis skills needed for this role, and can help you get started with Tableau, a tool commonly used in finance.
Product Manager
Product Managers are responsible for the development and launch of new products or features. They use tools like Tableau to analyze data and create visualizations to support decision-making. This course can help you develop the data analysis and visualization skills needed for this role and can help you get started with Tableau, a popular tool among Product Managers.
Data Engineer
Data Engineers are responsible for designing, constructing, and maintaining the infrastructure used to store, process, and analyze data. They use tools like Tableau to create visualizations and reports for other stakeholders. This course can help you become familiar with data analysis and visualization, which are crucial skills for this role.
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics, statistics, and programming to analyze financial data and make investment decisions. They use tools like Tableau to visualize and analyze data. This course can help you develop essential data analysis and visualization skills for this role, and can help you get started with Tableau, which is a popular tool in quantitative finance.
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. They use tools like Tableau to create visualizations and diagrams. This course can help you develop the data visualization skills needed for this role and can help you get started with Tableau, a tool commonly used by technical writers.
Market Researcher
Market Researchers gather and analyze data about consumer behavior, market trends, and competitor strategies. They use tools like Tableau to visualize and analyze data. This course can help you develop the skills needed to analyze market data and can help you get started with Tableau, a commonly used tool in market research.
Systems Analyst
Systems Analysts design, develop, and maintain computer systems. They use tools like Tableau to analyze data and create visualizations. This course can help you develop essential data analysis and visualization skills for this role, and can help you get started with Tableau, which is commonly used by systems analysts.
Web Analyst
Web Analysts use their knowledge of web analytics to improve the performance of websites. They use tools like Tableau to analyze data and create visualizations. This course can help you develop the skills needed to analyze web data and can help you get started with Tableau, a commonly used tool in web analytics.
Sales Analyst
Sales Analysts use their knowledge of sales data to identify trends and opportunities. They use tools like Tableau to analyze data and create visualizations. This course can help you develop the skills needed to analyze sales data and can help you get started with Tableau, a commonly used tool in sales analysis.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Tableau Desktop Certified Associate - Data Connections.
Provides a comprehensive overview of the Python programming language, and it covers topics such as data structures, data manipulation, and data visualization, which are essential skills for working with data in Tableau.
Is designed to help you prepare for the Tableau Desktop Certified Associate exam. It covers all of the topics that are tested on the exam, and it provides practice questions and exercises to help you test your knowledge.
Provides clear and concise instructions for using Tableau Desktop to create a wide range of data visualizations, including maps, charts, and dashboards, and it covers topics such as data preparation, data analysis, and data presentation.
This beginner-friendly book provides a clear and accessible introduction to Tableau, including data connections. It's a good option for those who are completely new to the software.
Provides a comprehensive overview of the field of data science, and it covers topics such as data collection, data cleaning, data analysis, and data modeling.
Provides a practical introduction to data visualization using Tableau. While it covers data connections, its focus is more on creating and designing effective visualizations.
Provides a practical introduction to the field of machine learning, and it covers topics such as supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive overview of the field of deep learning, and it covers topics such as artificial neural networks, convolutional neural networks, and recurrent neural networks.

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