Online Course – Certified Professional Internship in Using Tableau for Data Analysis from the University of California, Irvine

Learn basic visualization techniques in Tableau. Master visualization techniques and design strategies to present key points through graphic storytelling.

Suggested by: Coursera (What is Coursera?)

Start your Coursera.com free trial today
קורס אונליין - התמחות מקצועית מוסמכת ב-Use Tableau לניתוח נתונים של אוניברסיטת קליפורניה

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Dashboard design
  • Visual story
  • Single-task analysis
  • Tableau software
  • Multitasking analysis

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Business Intelligence Analyst
  • Data Visualization Specialist
  • Data Scientist
  • Dashboard Developer
  • Reporting Analyst
  • Quantitative Analyst
  • Market Research Analyst
  • Statistician
  • Data Engineer

Internship – a three-part course series

This specialization covers the fundamentals of visualization in the context of data science workflow. Using interactive visual analytics, students will learn how to extract structure from historical data and present key points through graphic storytelling.

Additional topics include:

  • Data manipulation
  • Visualization Basics
  • Audience identification
  • Ethical considerations
  • Creating dashboards
  • Generating reports

Demonstrations of basic visualization techniques using Tableau with a hands-on project will be included.

Hands-on Learning Project

Learners gradually developed a Tableau dashboard for the S&P 500 index, as well as its key components and economic drivers.

Course projects include:
  • Applying design principles
  • Storytelling techniques
  • Survey of available visualization tools

Details of the courses that make up the specialization

Data visualization tutorials

Course 1: Visualization Basics

  • 8 hours
  • 3.9 (14 ratings)
Course Details
What you’ll learn
  • In this course, we will cover the basics of visualization and how it fits into the data science workflow.
  • We will focus on the key concepts behind the purpose of visualization and the design principles for creating effective results that are easy to understand and communicate.
  • You will also install a Tableau environment, practice loading data, and perform unambiguous descriptive analysis of the stock sectors in the S&P 500.

Course 2: Data Storytelling

  • 8 hours
Course Details
What you’ll learn
  • This course will cover the more complex concepts that come with working with simple datasets.
  • We will explore the connection between visual aspects and data understanding, and examine how these concepts work together through data storytelling.
  • After going over key points on how to avoid problematic visualizations and data inaccuracies, you will continue working in Tableau and perform multivariate descriptive analysis of stock sectors in the S&P 500.

Course 3: Dashboards and Layout

  • 9 hours
Course Details
What you’ll learn
  • This course will take you through the different parts of analytical dashboards: from best practices in dashboard design, creating a unified analytical environment, to deploying and publishing visualizations.
  • We will briefly discuss advanced visualization techniques and you will develop a data layout of the biggest gainers and losers in the capital market and compare these movements to economic data as your final project.

Related products