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Dee Naidoo

Are you ready to kickstart your career in Data Analytics?Need more knowledge in Tableau, Data Visualization and Analytics?

This course is for YOU.

In this course you will build 5 separate dashboards depicting real world problems. You will learn how to connect to various data sources from Excel files to cloud servers. You will also learn how to build interactive dashboards and publish it to Tableau Online.

You will master the skills to become a good Data Analyst and build a solid foundation in understanding the data pipeline.

In this course you will learn:

Read more

Are you ready to kickstart your career in Data Analytics?Need more knowledge in Tableau, Data Visualization and Analytics?

This course is for YOU.

In this course you will build 5 separate dashboards depicting real world problems. You will learn how to connect to various data sources from Excel files to cloud servers. You will also learn how to build interactive dashboards and publish it to Tableau Online.

You will master the skills to become a good Data Analyst and build a solid foundation in understanding the data pipeline.

In this course you will learn:

  • Create 5 interactive dashboards and publish it online to share

  • Learn how to connect to different data sources such as Excel, Google Sheets and Cloud Servers.

  • Create a variety of charts including bar charts, line charts, donut charts, maps, tables and dual axis charts.

  • Create calculated fields including developing IF Statements.

  • Create sets, hierarchies and groups.

  • Understanding how joins work.

  • Understand Level Of Detail calculations.

  • Create Parameters

  • Make use of the analytics pane including using trend lines

  • How to use dashboard actions and create interactive dashboards.

  • Creating a dashboard which updates daily via google sheets.

By the time you complete this course, you'll be a highly proficient Tableau user and use all the learning from to course to enhance your career in Data and Analytics.

Projects you will work on:

  1. Discount Mart: Discount Mart is a small supermarket.The owner wants a dashboard where he can track how well Discount Mart is doing for this year (in terms of Sales, Profit and Quantity Sold).

  2. Green Destinations: Green Destinations is a well known travel agency. The HR Director has recently noticed an increase in employees leaving (attrition). She would like to figure out any trends or patterns based on a dashboard we will be building for her.

  3. Super Store: Superstore is a famous retailer in Canada. They have expanded into the USA and their business model involves placing Sales Agents in every state in the USA. These sales agents are responsible for bringing in sales for the state that they are assigned.

    The Sales Manager wants a dashboard to track how Sales Agents are doing.

  4. Northwind Trade: Northwind Trade is a company which ships a variety of FMCG (Fast Moving Consumer Goods) all over the world.

    The Shipping Manager doesn't have much visibility and doesn't know how many orders are processed and shipped on a monthly basis. He would like a dashboard of this where he selects a month and can tell how many orders are outstanding a day and where they should be shipped.

  5. Tesla: Tesla is an American electric vehicle and clean energy company. An important shareholder is tired of receiving only monthly updates of the stock price. The shareholder would like to see any trends of the stock price specifically for the last 3 months. He also wants this data to be updated daily.

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a solid foundation in understanding the data pipeline
Develops mastery in Tableau, a leading data visualization tool
Taught by Dee Naidoo, a recognized expert in data analytics
Suitable for beginners seeking to kickstart their career in data analytics
Focuses on real-world problems, providing practical experience

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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 The Complete Introduction to Data Analytics with Tableau with these activities:
Find a Mentor
Find a mentor who can provide guidance and support throughout your data analytics journey.
Show steps
  • Identify the skills and knowledge you want to develop.
  • Seek out potential mentors in your network.
  • Contact potential mentors and ask for their guidance.
  • Meet regularly with your mentor to discuss your progress and goals.
Tableau Tutorial
Follow step-by-step tutorials to learn the basics of Tableau and how to use it for data analysis and visualization.
Browse courses on Tableau
Show steps
  • Install Tableau and create a new project.
  • Connect to a data source and import data.
  • Create a simple visualization, such as a bar chart or line graph.
  • Use filters and parameters to explore the data.
  • Share your dashboard with others.
Data Analytics Resource List
Create a list of valuable resources, such as articles, books, and websites, to supplement your learning in data analytics.
Show steps
  • Identify the topics you want to cover.
  • Search for relevant resources online.
  • Evaluate the resources and select the most valuable ones.
  • Organize the resources into a list.
  • Share the list with others.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend a Data Analytics Meetup
Attend a data analytics meetup to connect with other professionals in the field and learn about the latest trends and technologies.
Show steps
  • Find a data analytics meetup in your area.
  • Register for the meetup and attend.
  • Network with other attendees and learn about their work.
  • Share your own knowledge and experience.
Study Group
Join or start a study group to discuss course material and work on projects together.
Show steps
  • Find or start a study group.
  • Meet regularly to discuss course material.
  • Work together on projects and assignments.
  • Help each other to learn and grow.
Tableau Exercise
Practice using Tableau to analyze and visualize data to enhance your understanding of data manipulation and visualization techniques.
Show steps
  • Connect to a data source and explore the data.
  • Create a variety of charts and visualizations to represent the data.
  • Use filters and parameters to explore the data interactively.
  • Publish your dashboard online and share it with others.
Volunteer for a Data Analytics Project
Volunteer for a data analytics project to gain practical experience and make a contribution to the community.
Show steps
  • Find a data analytics project that you are interested in.
  • Contact the project organizer and offer your help.
  • Work on the project and contribute your skills.
  • Learn from the experience and make a difference.
Data Visualization Project
Create a data visualization project that showcases your understanding of Tableau and data analysis techniques.
Show steps
  • Choose a dataset that you are interested in.
  • Clean and prepare the data for analysis.
  • Create a variety of charts and visualizations to represent the data.
  • Write a report that summarizes your findings.
  • Present your project to others.
Data Analytics Competition
Participate in a data analytics competition to test your skills and learn from others.
Show steps
  • Find a data analytics competition that interests you.
  • Register for the competition and download the data.
  • Analyze the data and develop a solution.
  • Submit your solution to the competition.
  • Review the results and learn from your experience.

Career center

Learners who complete The Complete Introduction to Data Analytics with Tableau will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course provides a comprehensive introduction to data analytics with Tableau, a powerful data visualization and analytics software. By completing this course, you will develop the skills necessary to become a successful Data Analyst.
Tableau Developer
A Tableau Developer is responsible for designing and developing Tableau dashboards and visualizations. This course provides hands-on experience with Tableau, which is essential for Tableau Developers.
Data Visualization Analyst
A Data Visualization Analyst is responsible for creating data visualizations that communicate insights and trends. This course provides a comprehensive overview of data visualization techniques, which is essential for Data Visualization Analysts.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. This course provides a strong foundation in data analytics, which is essential for Business Analysts to understand the data that drives business decisions.
Data Scientist
A Data Scientist is responsible for developing and implementing data-driven solutions to business problems. This course provides a solid introduction to data analytics, which is a fundamental skill for Data Scientists.
Data Engineer
A Data Engineer is responsible for building and maintaining the infrastructure that supports data analytics. This course provides a foundational understanding of data analytics, which is helpful for Data Engineers to understand the needs of data analysts.
Market Researcher
A Market Researcher is responsible for collecting and analyzing data to understand consumer behavior. This course provides an introduction to data analytics, which is helpful for Market Researchers to understand how to analyze data to make informed decisions.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to make investment recommendations. This course provides a basic understanding of data analytics, which is helpful for Financial Analysts to understand how to analyze financial data.
Operations Research Analyst
An Operations Research Analyst is responsible for using data to improve the efficiency of business operations. This course provides an introduction to data analytics, which is helpful for Operations Research Analysts to understand how to analyze data to make recommendations for improving efficiency.
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. This course provides a basic understanding of data analytics, which is helpful for Statisticians to understand how to analyze data to make informed decisions.
Data Journalist
A Data Journalist is responsible for using data to tell stories and inform the public. This course provides an introduction to data analytics, which is helpful for Data Journalists to understand how to analyze data to create compelling stories.
UX Researcher
A UX Researcher is responsible for conducting research to understand how users interact with products and services. This course provides an introduction to data analytics, which is helpful for UX Researchers to understand how to analyze data to make recommendations for improving the user experience.
Product Manager
A Product Manager is responsible for managing the development and launch of new products. This course provides an introduction to data analytics, which is helpful for Product Managers to understand how to analyze data to make informed decisions about product development.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course provides an introduction to data analytics, which is helpful for Software Engineers to understand how to analyze data to improve the performance and functionality of software applications.
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course provides an introduction to data analytics, which is helpful for Marketing Managers to understand how to analyze data to make informed decisions about marketing campaigns.

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 The Complete Introduction to Data Analytics with Tableau.
Provides a comprehensive overview of Tableau, covering topics such as data preparation, visualization, and analysis. It great resource for learners who want to learn about all aspects of Tableau.
Provides a guide to storytelling with data. It covers topics such as how to find stories in data, how to create compelling narratives, and how to present data in a way that is both engaging and persuasive. It great resource for learners who want to learn how to communicate data more effectively.
Provides a comprehensive overview of information dashboard design. It covers topics such as the principles of dashboard design, the different types of dashboards, and how to create effective dashboards. It great resource for learners who want to learn how to design dashboards that are both informative and visually appealing.
Provides a comprehensive introduction to deep learning with R. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It great resource for learners who want to learn how to use R for deep learning.
Provides a comprehensive introduction to data science with R. It covers topics such as data manipulation, statistical analysis, and machine learning. It great resource for learners who want to learn how to use R for data science.

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