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Azure Database Administrator Associate

Adam Crahen

Build or enhance your data visualization and analysis toolkit by learning how to read and build over 35 different charts. You'll learn concepts that will unlock the mystery of what Tableau is going to draw as you drag and drop.

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Build or enhance your data visualization and analysis toolkit by learning how to read and build over 35 different charts. You'll learn concepts that will unlock the mystery of what Tableau is going to draw as you drag and drop.

At the core of visualizing and analyzing data in Tableau Desktop is a thorough knowledge of choosing the right chart for the right job. Tableau helps people see and understand their data, but you need to know the why and the how in order to be effective. In this course, Tableau Desktop Playbook: Building Common Chart Types, you will build or enhance your data visualization toolkit by learning how to read, build, and format over 35 different charts while mastering foundational and advanced concepts along the way. First, you will learn how to present distributions and comparisons of data using bar charts. Next, you will see how to present data over time with line charts. Finally, you will discover how to unlock additional context with statistical, non-standard, and advanced charts. When you’re finished with this course, you will have the skills and knowledge of data visualization needed to build the right analysis for your data. Software required: Tableau Desktop.

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What's inside

Syllabus

Course Overview
Quickly Displaying Data with Variations of the Text Table
Presenting Distributions and Comparisons of Data Using Bar Charts
Presenting Data Over Time With Line Charts
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Unlocking Additional Context with Statistical and Non-standard Charts
Rounding Out Your Visualization Toolkit With Advanced Charts

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers a broad range of chart types, building a solid foundation for data visualization and analysis
Taught by an experienced instructor recognized for their expertise in Tableau
Helps learners develop proficiency in a highly sought-after skill for data analysis and visualization
Utilizes a hands-on approach with over 35 different charts, providing ample practice
Suitable for beginners seeking to build a strong foundation in data visualization with Tableau
Covers statistical and non-standard charts, expanding visualization capabilities

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Career center

Learners who complete Azure Database Administrator Associate will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists develop skills in programming, statistics, and data analysis. Their job is to analyze large amounts of structured and unstructured data to identify trends and patterns. They use this information to help organizations make better decisions. This course could be very helpful to a Data Scientist, as it offers methods for data visualization. Data visualization is the visual representation of information, translating data into visual context. This course teaches 35 different types of charts and how to choose the right one for the job.
Market Research Analyst
Market Research Analysts collect and analyze data to understand market trends and customer behavior. They use this information to develop marketing strategies and make recommendations to businesses. This course would be very helpful to a Market Research Analyst, as data visualization is often used to present market research findings. Data visualization can help Market Research Analysts communicate data more effectively and make it easier for stakeholders to understand. This course teaches 35 different types of charts and how to choose the right one for the job.
Web Analyst
Web Analysts collect and analyze data to understand how people use websites. They use this information to improve the usability and effectiveness of websites. This course would be very helpful to a Web Analyst, as data visualization is a key component of web analytics. Data visualization can help Web Analysts track progress, identify trends, and make informed decisions. This course teaches 35 different types of charts and how to choose the right one for the job.
Statistician
Statisticians collect, analyze, and interpret data. They work with businesses, governments, and other organizations to provide insights into data and make informed decisions. This course could be very helpful to a Statistician, as data visualization is often used to present statistical findings. Data visualization can help Statisticians communicate data more effectively and make it easier for stakeholders to understand. This course teaches 35 different types of charts and how to choose the right one for the job.
Data Analyst
A Data Analyst is responsible for collecting, examining, and interpreting data to help an organization improve its performance. These professionals use their skills to transform raw data into insights that can be used to make informed decisions, solve problems, and improve outcomes. This course could be very helpful to a Data Analyst, as it offers methods for data visualization. Data visualization is the visual representation of information, translating data into visual context. This course teaches 35 different types of charts and how to choose the right one for the job.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze data and make predictions. They work with businesses to develop trading strategies, manage risk, and make investment decisions. This course could be very helpful to a Quantitative Analyst, as data visualization is often used to present quantitative analysis findings. Data visualization can help Quantitative Analysts communicate data more effectively and make it easier for stakeholders to understand. This course teaches 35 different types of charts and how to choose the right one for the job.
Business Analyst
A Business Analyst examines how businesses operate. Often, this role will detail how an organization operates and creates presentations to explain these operations. This course would be very helpful to a Business Analyst, as it offers methods for data visualization. Data visualization is the visual representation of information, translating data into visual context. This course teaches 35 different types of charts and how to choose the right one for the job.
Product Manager
Product Managers are responsible for managing the development and launch of new products. They work with cross-functional teams to define product requirements, manage budgets, and track project progress. This course would be moderately helpful to a Product Manager, as data visualization can help them track progress, identify trends, and make informed decisions. This course teaches 35 different types of charts and how to choose the right one for the job.
Software Developer
Software Developers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course could be helpful to a Software Developer, as data visualization is becoming increasingly important in the software development process. Data visualization can help Software Developers track progress, identify trends, and make informed decisions. This course teaches 35 different types of charts and how to choose the right one for the job.
Technical Writer
Technical Writers create and maintain technical documentation. They work with subject matter experts to gather information and write clear, concise, and accurate documentation. This course would be helpful to a Technical Writer, as data visualization can help them create more effective documentation. Data visualization can help Technical Writers communicate complex information more easily and make it easier for readers to understand. This course teaches 35 different types of charts and how to choose the right one for the job.
Information Technology Project Manager
IT Project Managers utilize their knowledge of IT to manage IT projects. These professionals are responsible for planning, organizing, and directing the execution of IT projects. They work with project teams, clients, and stakeholders to ensure that IT projects are delivered on time, within budget, and to the required quality standards. This course would be moderately helpful to an IT Project Manager, as data visualization is a key component of any project management plan. Data visualization can help project managers track progress, identify trends, and make informed decisions. This course teaches 35 different types of charts and how to choose the right one for the job.
User Experience Designer
User Experience Designers design and evaluate the user experience of products and services. They work with cross-functional teams to ensure that products and services are easy to use, accessible, and enjoyable. This course would be helpful to a User Experience Designer, as data visualization can help them track progress, identify trends, and make informed decisions. This course teaches 35 different types of charts and how to choose the right one for the job.
Project Manager
Project Managers plan, organize, and direct the execution of projects. They work with project teams, clients, and stakeholders to ensure that projects are delivered on time, within budget, and to the required quality standards. This course would be moderately helpful to a Project Manager, as data visualization is a key component of any project management plan. Data visualization can help project managers track progress, identify trends, and make informed decisions. This course teaches 35 different types of charts and how to choose the right one for the job.
Systems Analyst
Systems Analysts evaluate, design, and implement computer systems. They work with businesses to identify and solve problems, and to improve the efficiency and effectiveness of business processes. This course may be helpful to a Systems Analyst, as data visualization can help them track progress, identify trends, and make informed decisions. This course teaches 35 different types of charts and how to choose the right one for the job.
Operations Research Analyst
Operations Research Analysts use advanced analytical techniques to solve complex problems. They work with businesses to improve efficiency, productivity, and decision-making. This course may be helpful to an Operations Research Analyst, as data visualization can help them communicate their findings more effectively. This course teaches 35 different types of charts and how to choose the right one for the job.

Reading list

We've selected six 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 Azure Database Administrator Associate.
Guide to the ggplot2 package for R. ggplot2 powerful data visualization library that can be used to create a wide variety of charts and graphs. This book covers the basics of ggplot2, as well as more advanced topics such as creating custom visualizations and working with large datasets.
Guide to creating interactive data visualizations for the web. It covers a wide range of topics, from basic concepts to advanced techniques. It's a great resource for anyone who wants to learn how to create interactive visualizations that are both visually appealing and informative.
Classic guide to data visualization. It covers a wide range of topics, from the principles of data visualization to specific visualization techniques. It's a great resource for anyone who wants to learn more about data visualization and how to use it effectively.
Collection of essays on data visualization. It covers a wide range of topics, from the history of data visualization to the use of data visualization in different fields. It's a great resource for anyone who wants to learn more about data visualization and its impact on the world.
Guide to choosing the right chart for the right data. It covers a wide range of topics, from the principles of data visualization to specific visualization techniques. It's a great resource for anyone who wants to learn more about data visualization and how to use it effectively.

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