Tableau Learning Partner

Introduction to Tableau

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Gain insight into a topic and learn the fundamentals.
4.8

(203 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 19 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(203 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 19 hours
Learn at your own pace
96%
Most learners liked this course

What you'll learn

  • Describe the value of data visualizations in the field of business analytics.

  • How to preprocess data using Tableau Public

  • How to combine data from multiple tables found within the same data source as well as other data sources in Tableau Public.

Details to know

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Assessments

13 assignments

Taught in English

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Build your Data Analysis expertise

This course is part of the Tableau Business Intelligence Analyst Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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There are 3 modules in this course

Welcome to the first week of the course! This week, you’ll start with a high-level overview of data visualizations. Specifically, you'll learn what they are and what makes them so powerful and — as a result — why they are such a vital asset when it comes to not only discovering insights but also communicating those insights with stakeholders. The focus will then shift to Tableau, one of the most popular data visualization tools in the analytics industry. In this module, you’ll get signed up with a Tableau Public account and then dive right in by connecting to a data source and exploring the different components of Tableau.

What's included

5 videos20 readings4 assignments1 discussion prompt

As an analyst, data preparation is the most important step for impactful analysis. Without clean data, you can lead an audience to incorrect conclusions, which can ultimately undermine your credibility and even potentially cause harm. Data cleaning is not a perfect process — a good motto for all analysts is "Question everything!" (Especially your data.) Data preparation is also an iterative process. You start by wrangling dirty data but then move on to smaller, more intentional data preparation — usually to finalize your analysis or prepare your data for an audience. Preparing data in Tableau requires a different, more design-oriented level of scrutiny when compared with file or database cleaning to finalize the data for presentation purposes. This module will teach you concepts that must be implemented in a professional environment, especially if a data visualization is intended for presentation. Remember, without clean, well-prepared data, data visualizations can point to incorrect conclusions.

What's included

9 videos16 readings4 assignments

As the amount of data in the world exponentially grows, the need for combining data sources becomes ever more critical. Understanding how to combine data sources opens whole new areas of study. As an analyst, your daily tasks will often include combining various data sources in search of new insightful visualizations. When it comes to connecting data sources in Tableau, the amount of data you are connecting can affect the performance of your data visualizations. Because of this, Tableau offers multiple ways to combine data that help analysts optimize workflow and create more efficient data visuals.

What's included

7 videos19 readings5 assignments1 discussion prompt

Instructor

Instructor ratings
4.6 (43 ratings)
Tableau Learning Partner Instructor
Tableau Learning Partner
8 Courses55,672 learners

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4.8

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