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Data Analysis with Tableau

Tableau Learning Partner Instructor

The Data Analysis with Tableau Course will teach you how to manipulate and prepare data for analysis and reporting. You will also learn how to use the analytics features in Tableau to more effectively calculate analytics versus manual calculations. In this course, you will perform exploratory data analysis as well as create reports using descriptive statistics and visualizations.

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The Data Analysis with Tableau Course will teach you how to manipulate and prepare data for analysis and reporting. You will also learn how to use the analytics features in Tableau to more effectively calculate analytics versus manual calculations. In this course, you will perform exploratory data analysis as well as create reports using descriptive statistics and visualizations.

This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program.

By the end of the course, you will be able to:

-Apply Tableau Public techniques to manipulate and prepare data for analysis.

-Perform exploratory data analysis using Tableau and report insights using descriptive statistics and visualizations.

-Identify the benefits of the analytics feature in Tableau by utilizing this tool versus manually calculating the analytics.

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What's inside

Syllabus

Data Analysis and Exploration
Welcome to Data Analysis with Tableau, the seventh course in the Tableau Business Intelligence Analyst Professional Certificate series. In this first week, we introduce you to the Tableau Data Analysis Process framework. This comprehensive guide is essential for effectively preparing, analyzing, interpreting, and communicating data. You'll also begin learning about data exploration, which helps you dive into datasets and refine them for more insightful analysis.
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Data Preprocessing and Aggregation
Welcome to Week 2 of Data Analysis with Tableau, where you will dive deeper into the crucial stages of data preparation. This week focuses on refining your skills in preparing data for in-depth analysis. Building upon the preprocessing concepts introduced in previous courses, you will explore advanced preprocessing techniques to enhance the quality and relevance of your data. Additionally, this week is dedicated to understanding and utilizing the powerful aggregation tools integrated within Tableau.
Introduction to Statistical Analysis
Welcome to the third week of Data Analysis with Tableau! This week, you will engage with external modules to deepen your understanding of data distributions and variation for data comparisons. You'll explore fundamental statistical concepts including mean, variance, standard deviation, as well as frequency and population distributions, continuous distributions, hypothesis testing, and confidence intervals. After completing the external modules, you will learn how to create and interpret histograms and box plots in Tableau, turning your newly acquired statistical knowledge into valuable visualizations. By the end of this module, you will not only comprehend the underlying principles of statistical analysis but also be adept at visually representing statistical data.
Introduction to Predictive Analytics
Welcome to the fourth and final week of Data Analysis with Tableau! This week begins with an external module on correlation and regression, which are key for understanding predictive trends. You'll then apply these concepts in Tableau by creating and interpreting scatter plots and enhancing visualizations with reference lines, bands, and trend lines. The week culminates in a comprehensive project using the Superstore dataset, where you'll apply not only predictive analytics techniques but also integrate concepts learned in previous weeks.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for business intelligence analysts and data reporting analysts who need fundamental Tableau skills
Provides an introduction to Tableau Public and its techniques for manipulating and preparing data for analysis
Covers the Tableau Data Analysis Process framework, which is an essential guide for effectively preparing, analyzing, interpreting, and communicating data
Includes external modules on data distributions, variation, correlation, and regression, deepening students' understanding of statistical analysis
Emphasizes the benefits of using Tableau's analytics features over manual calculations
May require additional software or tools that may not be readily available in a typical household or library

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Activities

Coming soon We're preparing activities for Data Analysis with Tableau. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Data Analysis with Tableau will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help businesses make informed decisions. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Data Analyst.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to help businesses make better decisions. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Business Intelligence Analyst.
Data Scientist
A Data Scientist uses data to build models that can predict future outcomes. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Data Scientist.
Statistician
A Statistician uses statistical methods to analyze data and draw conclusions. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Statistician.
Data Engineer
A Data Engineer builds and maintains the infrastructure that stores and processes data. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Data Engineer.
Data Visualization Specialist
A Data Visualization Specialist creates visualizations that communicate data insights to stakeholders. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Data Visualization Specialist.
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical methods to solve business problems. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as an Operations Research Analyst.
Market Researcher
A Market Researcher conducts research to understand customer needs and preferences. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Market Researcher.
Management Consultant
A Management Consultant advises businesses on how to improve their performance. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Management Consultant.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Financial Analyst.
Actuary
An Actuary uses mathematical and statistical methods to assess risk. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as an Actuary.
Database Administrator
A Database Administrator manages and maintains databases. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Database Administrator.
Data Architect
A Data Architect designs and builds data systems. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Data Architect.
Data Governance Specialist
A Data Governance Specialist develops and implements policies and procedures to ensure the quality and integrity of data. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as a Data Governance Specialist.
Information Security Analyst
An Information Security Analyst protects computer systems and networks from unauthorized access or damage. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data analysis techniques and tools. You will learn how to use Tableau to prepare, analyze, and visualize data, and you will gain experience in using statistical analysis to identify trends and patterns. This course can help you build the skills and knowledge you need to launch a successful career as an Information Security Analyst.

Reading list

We've selected 11 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 Data Analysis with Tableau.
Serves as a foundational guide to data visualization, establishing the principles and best practices for creating clear and effective data visualizations. It provides insights into the cognitive processes involved in data interpretation, helping you design visualizations that resonate with your audience.
This practical guide provides a comprehensive overview of Tableau Desktop, enabling you to master data visualization techniques quickly. It covers data preparation, visualization creation, and advanced features, making it a valuable resource for both beginners and experienced users.
Offers a candid and practical perspective on the realities of data science, addressing challenges, biases, and ethical considerations. It provides insights into the human aspects of data science, helping you navigate the complexities of the field.
Offers a practical approach to data analytics, focusing on the essential concepts and techniques used in the industry. It covers data exploration, visualization, and predictive modeling, providing a solid foundation for aspiring data analysts.
This comprehensive reference book provides an extensive overview of the R programming language, covering both the basics and advanced topics. It valuable resource for both beginners and experienced R users, offering a deep dive into the language's capabilities and applications.
This comprehensive textbook provides a solid foundation in statistical methods, covering both descriptive and inferential statistics. It includes numerous examples and exercises, making it an excellent resource for those seeking to develop their statistical knowledge.
Introduces the fundamentals of Python programming for data analysis, covering essential libraries such as NumPy, Pandas, and Matplotlib. It provides hands-on exercises and examples, enabling you to develop practical data analysis skills using Python.
Introduces the R programming language for data science, covering data manipulation, visualization, and statistical modeling. It provides a comprehensive overview of the tidyverse, a collection of packages that streamline data analysis workflows in R.
Focuses specifically on data manipulation in R, covering techniques for data cleaning, transformation, and reshaping. It provides a deep dive into the tidyverse, helping you master the tools and techniques for efficient data manipulation.
Provides a comprehensive introduction to machine learning, covering supervised and unsupervised learning algorithms, model evaluation, and feature engineering. It includes hands-on exercises using Python, making it a valuable resource for those seeking to apply machine learning techniques to data analysis.
Provides an in-depth exploration of advanced R programming techniques, covering topics such as object-oriented programming, functional programming, and high-performance computing. It valuable resource for those seeking to expand their knowledge and skills in R.

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