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Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

Fundamentals of Visualization with Tableau

Fundamentals of Visualization with Tableau

About this course: In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.

Who is this class for: This course is primary targeted for newcomers to data visualization with no prior experience using Tableau.

Created by:   University of California, Davis
  • Suk S. Brar, M.B.A.
    Taught by:    Suk S. Brar, M.B.A., Lead Business Consultant
    Blue Shield of California
  • Govind Acharya
    Taught by:    Govind Acharya, Principal Analyst
    Budget and Institutional Analysis
Basic Info
LevelBeginner
Commitment4 weeks of study, 3-5 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.3See what learners said
Syllabus
WEEK 1
Getting Started & Introduction to Data Visualization
Welcome to this first module, where you will begin to discover the power of data visualization. You will define the meaning and purpose of data visualization and explore the various types of data visualization tools, beyond Tableau. You will install Tableau on your own device and create your first visualization.

6 videos2 readings
  1. Video: Course Introduction and Specialization
  2. Video: Introduction to Data Visualization
  3. Reading: Introduction to Data Visualization
  4. Video: What is Data Visualization and Why Do We Do It?
  5. Discussion Prompt: Data Visualization Challenges
  6. Video: Tools for Data Visualization
  7. Discussion Prompt: Visualization Tools
  8. Discussion Prompt: Python and R
  9. Video: Installing Tableau
  10. Discussion Prompt: Installing Tableau
  11. Video: Creating Your First Visualization
  12. Discussion Prompt: Creating Your First Visualization (Activity)
  13. Reading: Interview with Dr. Ben Schniederman (30 mins)
  14. Discussion Prompt: Dr. Schneiderman's Key Elements
Graded: Introduction to Data Visualization
WEEK 2
Exploring and Navigating Tableau
With the last module, you were able to create your first visualization through guided practice. The secret to doing visualizations is really knowing the tool you will be using. For this module, you will explore and navigate the Tableau interface and be able to use specific tools as you begin your visualization journey.

5 videos1 reading
  1. Video: Exploring and Navigating Tableau Overview
  2. Video: Importing Visualizations
  3. Discussion Prompt: Downloading a Visualization
  4. Video: Navigating the Tableau Public's Software - Part 1
  5. Video: Navigating the Tableau Public's Software - Part 2
  6. Video: Navigating the Tableau Public's Software - Part 3
  7. Discussion Prompt: Navigating Tableau
  8. Reading: Additional Readings
Graded: Exploring and Navigating Tableau
WEEK 3
Making Data Connections
Creating visualizations require data and in this module, you will discuss the various data sources for visualization and specifically what can be used in Tableau. You will prepare your data and identify the types of data connections possible with Tableau. You will be able to connect and merge to multiple data sources which can help make your visualizations more powerful.

4 videos2 readings
  1. Video: Making Data Connections Overview
  2. Video: Preparing Your Data For Import
  3. Video: Primary Types of Connections
  4. Video: Connecting and Merging Multiple Data Sources
  5. Discussion Prompt: Tableau Public Sample Data Sets
  6. Discussion Prompt: Tips to Connecting to Data
  7. Reading: TDE or Live? When to Use Tableau Data Extracts (or not)
  8. Reading: Tableau - Extract Your Data
Graded: Connecting to Multiple Data Sources
Graded: Making Data Connections
WEEK 4
Context of Data Visualization & Course Wrap-Up
Data visualization is about telling a story using data. However, before you can be successful at data visualization, you must understand the "who", "what", and "how" of data context. In this final module, you will be able to determine who your audience will be and what your relationship to them is. You will analyze a real world application of data context and be able to write out a visualization story based on data context.

5 videos1 reading
  1. Video: Context of Data Visualization Overview
  2. Video: The "Who, What, and How" of Data Visualization
  3. Reading: Resonate - Present Visual Stories that Transform Audiences
  4. Video: Illustration of the "Who, What, and How"
  5. Discussion Prompt: Visualization of the Day Exercise
  6. Video: Context of Data Visualization
  7. Discussion Prompt: Context of Data Visualization (Activity)
  8. Video: Course Wrap-Up
  9. Discussion Prompt: Course Reflection
Graded: Storyboarding Your Visualization
Graded: Context of Data Visualization
How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.


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