Data Analysis with Tableau from Coursera

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.

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.

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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analysis with Tableau with these activities:

Compile and review course materials

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Take the time to organize and review course materials, ensuring a comprehensive understanding of key concepts.

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Gather all course materials including lecture notes, videos, and exercises
Create a structured system for organizing materials
Regularly review and revisit materials to reinforce learning

Review basic statistics

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Start the course by brushing up on your statistics skills, making more advanced topics easier to grasp.

Browse courses on Statistical Analysis

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Review probability distributions
Practice calculating measures of central tendency
Solve simple hypothesis testing problems

Tableau tutorials on YouTube

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Access curated and insightful Tableau tutorials to enhance your understanding and master specific skills.

Browse courses on Data Visualization

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Search for tutorials on specific topics
Follow along with instructions provided by experienced Tableau users
Apply new techniques learned in your own Tableau projects

Five other activities

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The Data Visualization Handbook

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Get a comprehensive overview of best practices and techniques for effective data visualization, complementing the course materials.

View Data Visualisation: A Handbook for Data Driven... on Amazon

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Chapter 1: Introduction to Data Visualization
Chapter 2: Visualizing Distributions
Chapter 3: Creating Visualizations for Comparisons

Data manipulation exercises

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These exercises will solidify the data manipulation techniques explained in the first module to prepare data for analysis.

Browse courses on Data Preparation

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Resolve data inconsistencies
Transform data using Tableau's data formatting options
Create calculated fields to derive new insights

Exploratory data analysis project

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Apply Tableau skills to explore a dataset, identify patterns, and create visualizations to present your findings.

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Choose a dataset of interest
Perform exploratory analysis using Tableau
Create visualizations to present your insights

Infographic on data analysis trends

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Create a visually appealing infographic that summarizes the key trends and advancements in the field of data analysis.

Browse courses on Data Analysis

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Research current trends in data analysis
Design an infographic using a tool like Canva or Visme
Share your infographic with the class or online

Contribute to the Tableau community forum

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Engage with the Tableau community, ask questions, share knowledge, and collaborate to deepen your understanding and expand your network.

Browse courses on Data Analysis

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Join the Tableau Community Forum
Participate in discussions and ask questions
Answer questions and share your expertise

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.

See salaries and explore the career path for 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.

See salaries and explore the career path for 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.

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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.

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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.

See salaries and explore the career path for 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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