Complete Tableau 2021 Training for Absolute Beginners : FREE
This comprehensive Tableau 2021 training is designed for absolute beginners, with no prior experience or training in Microsoft Excel required. Learn to visualize and cleanse master data with this free course. ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
No Information
Language:
English
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This Complete Tableau 2021 Training for Absolute Beginners course provides an overview of the fundamentals of Tableau 2021, as well as more advanced techniques and methods. Learners will gain an understanding of the technology of cloud sharing, methods of automation for streamlining/eliminating traditional reporting, and how to select the best visualization for the job. This course is free and is designed for absolute beginners.
[Applications]
After completing this course, participants can apply the knowledge they have gained to create interactive visualizations and dashboards in Tableau. They can also use the techniques and methods learned to automate traditional reporting processes and share their data in the cloud. Additionally, participants can use the skills they have acquired to select the best visualization for the job.
[Career Paths]
1. Business Intelligence Analyst: Business Intelligence Analysts are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. They use data visualization tools such as Tableau to create reports and dashboards that provide insights into the performance of the business. As businesses become increasingly data-driven, the demand for Business Intelligence Analysts is expected to grow.
2. Data Scientist: Data Scientists use data to solve complex problems and develop predictive models. They use Tableau to analyze large datasets and create visualizations that help them identify patterns and trends. As businesses become more reliant on data-driven decisions, the demand for Data Scientists is expected to increase.
3. Data Visualization Designer: Data Visualization Designers use Tableau to create interactive visualizations that help businesses understand their data. They use their design skills to create visually appealing and informative visualizations that can be used to make decisions. As businesses become more reliant on data-driven decisions, the demand for Data Visualization Designers is expected to increase.
4. Tableau Developer: Tableau Developers are responsible for developing and maintaining Tableau applications. They use their programming skills to create custom applications that can be used to analyze data and create visualizations. As businesses become more reliant on data-driven decisions, the demand for Tableau Developers is expected to increase.
[Education Paths]
1. Bachelor of Science in Data Science: This degree path focuses on the fundamentals of data science, including data analysis, data visualization, machine learning, and artificial intelligence. It also covers topics such as data mining, data engineering, and data warehousing. This degree path is becoming increasingly popular as businesses and organizations look to leverage data to gain insights and make decisions.
2. Master of Science in Business Analytics: This degree path focuses on the application of data science to business problems. It covers topics such as predictive analytics, data mining, and machine learning. It also covers topics such as data visualization, data engineering, and data warehousing. This degree path is becoming increasingly popular as businesses and organizations look to leverage data to gain insights and make decisions.
3. Master of Science in Artificial Intelligence: This degree path focuses on the application of artificial intelligence to solve complex problems. It covers topics such as machine learning, natural language processing, and computer vision. It also covers topics such as data mining, data engineering, and data warehousing. This degree path is becoming increasingly popular as businesses and organizations look to leverage AI to gain insights and make decisions.
4. Master of Science in Data Science: This degree path focuses on the fundamentals of data science, including data analysis, data visualization, machine learning, and artificial intelligence. It also covers topics such as data mining, data engineering, and data warehousing. This degree path is becoming increasingly popular as businesses and organizations look to leverage data to gain insights and make decisions.
Course Syllabus
Welcome to my Tableau Course - Who am I, Salaries, What brought you here
Quick Demo Guide, Excel vs Tableau (Udemy Blog Link)
Tableau Environment - Public and Desktop Installation (Links)
Free Tableau License for Students and Teachers
Tableau Installation Troubleshooting (Links)
Tableau Certification 3 Levels - (Include Links and PDF's)
Pros & Cons
Clear and concise explanations.
Instructor goes straight to the point.
Covers topics from real world experience.
Great starting point for Tableau beginners.
Good storyteller and trainer.
Talks and repeats too much.
Fails to cover some features.
Too short for more advanced learners.
Not enough practical exercises.
Not enough focus on data analytics.
Course Provider
Provider Udemy's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
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