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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Raves & Praise
Christopher Fowler
MCSA
Very thorough, good mix of lecture and lab work. Al is great! Keeps classes interesting and supplements required test material with need-to-know items from real world experience.
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.
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.
Jean S.
PMP Certification Training, Lombard, 2008
I was laid off for many months and not really getting many callbacks for my resume and no job offers. After I put the letters PMP on it, not only did I see an increase in quantity, but also quality of interviews. I had been spinning my wheels for 5 months, and after the PMP went on, I had 2 job offers in 6 weeks. It really was the "golden ticket"
Jennie
Student Employment Success - Project/Process Manager
My Career Services Manager was very friendly and helpful and had excellent follow-up. She seemed to really care how things were going and kept me moving in the right direction. The resources available in job search were great and the visibility that there were jobs out there looking for my skillset was promising. Additionally, the training, as well as having an updated resume stating the Microtrain course work I had taken made me feel more confident and marketable as I looked for employment. It showed that I was dedicated and took project management and process management seriously.
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