Tableau Desktop Specialist - Essentials
This free, self-paced data literacy course series is the first step to becoming a data analyst. Learn how to explore, understand, and communicate insights through data visualizations. This course series covers key topics, including data collection and structure, field and variable types, statistical thinking, correlation and regression, and visualizing data. At the end of this series, you will be ready to take the next step toward your career goal and register for MicroTrain's 3-day live, instructor-led online Tableau Desktop Specialist Certification training.
Outline
Learning Objectives
At the end of this course series, you will be able to:
- Define data literacy.
- Describe the importance of asking "good" questions.
- Identify aptitudes and attitudes for working effectively with data.
- Describe what data is, how it's collected, and where it's stored.
- Identify different types of variables.
- Distinguish among nominal qualitative, ordinal qualitative, and quantitative variables.
- Distinguish between discrete and continuous variables.
- Distinguish among different types of aggregations.
- Identify how aggregation and granularity impact data.
- Distinguish between frequency and proportion distributions for discrete variables.
- Identify shapes of distributions for continuous variables.
- Demonstrate an understanding of histograms and box plots.
- Calculate mean, variance, and standard deviation.
- Demonstrate an understanding of continuous distributions.
- Define the use and limitations of p-values in hypothesis testing.
- Distinguish between strong and weak correlations.
- Differentiate between characteristics of correlation and linear regression.
- Identify characteristics of meaningful data.
- Differentiate between well-structured and poorly formatted data.
- Identify data restructuring options.
- Define data literacy.
- Describe the importance of asking "good" questions.
- Identify aptitudes and attitudes for working effectively with data.
- Describe what data is, how it's collected, and where it's stored.
- Identify characteristics of meaningful data.
- Differentiate between well-structured and poorly formatted data.
- Identify data restructuring options.
Prerequisites
None
Exam Pass Guarantee
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D. Easter
PMP Certification Training, November 2008
Thanks Microtrain for conducting a great PMP course that set me on a successful path to obtain my PMP certification. I have passed the test!
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Dawn has been a pleasure to work with. She is diligent in her efforts to give MicroTrain’s students the best opportunities to connect and network with various companies and players in the job market. The curriculums and certification programs are in line with today’s current IT needs. It’s good to see that they evolve with what employers are most seeking out there. I would recommend to any employer that hires skilled IT workers that they look into MicroTrain’s career services department as a potential source of candidates. The business of hiring can be quite costly, and Dawn and her staff provide a free service to outside companies. This value-add for MicroTrain’s students aligns with their mission in both training and job assistance to set up a win/win scenario for all involved.
Ron Cwik
PMP Certification Training, 2008
Great training facility. Great instructors. Great experience.
Robert Graf
MCSA
Microtrain presents the course material in an interesting and concise manner. Microtrain gives the student all the resources necessary to pass the certification exams. Both the Chicago and Lombard facilities were excellent, and the staff goes to any length to accommodate any student changes.
Karine Bucci
Project Management
Great class, loved the interaction and team-building exercises. Plenty of materials and learning tools supplied. Although it was a full week's class, never boring. Donna [Russell] was awesome and gave many supporting examples for better understanding.
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