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If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

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Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Analytics and Visualization with Tableau and more

Data Analytics and Visualization with Tableau and more

本课程是多个项目的一部分。

位教师：Packt - Course Instructors

包含在 Coursera Plus 中

了解更多

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Automate workflows and manipulate datasets using Alteryx Designer
Build dynamic dashboards and analyze data with Tableau and Qlik Sense
Develop statistical models and perform advanced analyses using R
Create compelling visual stories and publish data insights effectively

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

6 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

此课程作为的一部分提供

在注册此课程时，您还需要选择一个特定的合作项目。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有4个模块

Updated in May 2025.

This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of data with Data Analytics and Visualization with Tableau & More, a comprehensive course designed to transform you into a data-driven professional. From mastering the fundamentals of Alteryx workflows to advanced data visualizations in Tableau, this course offers hands-on learning to automate data processes, prepare datasets, and create compelling insights. The journey begins with Alteryx, where you'll learn to clean, filter, and analyze data while automating workflows. You will then seamlessly transition into Qlik Sense, mastering data loading, chart creation, and advanced analysis techniques. Next, you'll dive into R programming to gain a deeper understanding of data manipulation, statistical analysis, and project implementation. Finally, Tableau will guide you in creating interactive dashboards, spatial charts, and publishing visual insights for impactful storytelling. This course is perfect for data enthusiasts, business analysts, and professionals seeking actionable skills in modern analytics tools. Prior experience in data handling is helpful but not mandatory. Whether you're a beginner or looking to refine your expertise, this course caters to all levels.

In this module, we will explore the basics of Alteryx, starting with its intuitive interface and essential tools. You'll learn how to build workflows, manage data types, and automate processes for faster and more accurate data preparation. This section also covers data cleansing, filtering, and combining techniques, along with tips for Excel and SQL analysts transitioning to Alteryx.

涵盖的内容

35个视频2篇阅读材料1个作业1个插件

35个视频总计341分钟

Introduction4分钟
Alteryx Essentials5分钟
Data Types 1014分钟
Getting Started with the Alteryx Designer8分钟
Building a Workflow in Designer9分钟
The Favorites Tools9分钟
Data Filtering for Beginners11分钟
Introduction to Alteryx for Excel Users10分钟
Alteryx for the SQL Analyst11分钟
Introduction to Basic Functions - Part 115分钟
Introduction to Basic Functions - Part 29分钟
Introduction to Basic Functions - Part 36分钟
Basic Parsing Methods12分钟
Basic Parsing Methods w/ Dynamic Renaming8分钟
Basic VLOOKUP and Append10分钟
Working on Multiple Fields in Alteryx10分钟
Build an Alteryx Workflow10分钟
Basic Tips and Tricks10分钟
Alteryx Best Practices - Visualizing Data9分钟
Alteryx Best Practices - Visualizing Data with Texts and Charts12分钟
Alteryx Best Practices - Layouts and Rendering8分钟
Introduction to Analytic Apps9分钟
Introduction to Macros8分钟
Intro to Data Analysis - Working Spatial Data11分钟
Introduction to Data Analysis - Measuring13分钟
Introduction to Data Analysis - Spatial Objects10分钟
Introduction to Analytics12分钟
Introduction to K-Centroid Clustering11分钟
Introduction to K-Nearest Neighbor9分钟
Introduction to Market Basket Analysis11分钟
Introduction to Logistic Regression Analysis9分钟
Introduction to Linear Regression Analysis8分钟
Introduction to Tree-Based Models Part 112分钟
Introduction to Tree-Based Models Part 210分钟
Summary0分钟

2篇阅读材料总计20分钟

Introduction to the Course 'Data Analytics and Visualization with Tableau and more'10分钟
Full Specialization Resources10分钟

1个作业总计15分钟

Introduction to Alteryx for Beginners - Assessment15分钟

1个插件总计15分钟

Creating Basic Transformations and Formulas in Alteryx15分钟

In this module, we will dive into Qlik Sense, starting with its interface and progressing to advanced visualization techniques. You'll learn how to load and manipulate data, build charts, and share insights effectively. Practical exercises and examples will help you master Qlik Sense features, from data aggregation to creating interactive dashboards.

涵盖的内容

35个视频1个作业1个插件

35个视频总计383分钟

Introduction to the Course2分钟
What Is Qlik Sense?15分钟
Qlik Sense Versus QlikView13分钟
Different Versions of Qlik Sense15分钟
Exploring the Qlik Sense Interface10分钟
Loading Data Part 11分钟
Loading Data Part 22分钟
Creating and Loading Apps4分钟
Adding Your First Chart15分钟
Editing Your Visualization Part 114分钟
Editing Your Visualization Part 215分钟
Publishing and Sharing Apps13分钟
Exercise 01: Loading Data2分钟
Data Assets in Visualization Part 19分钟
Data Assets in Visualization Part 213分钟
Types of Charts and Graphs Part 116分钟
Types of Charts and Graphs Part 213分钟
Types of Charts and Graphs Part 314分钟
Types of Charts and Graphs Part 414分钟
Types of Charts and Graphs Part 55分钟
Generating Insights and Analysis17分钟
Exercise 02: Build a Chart3分钟
Exercise 03: Types of Charts and Graphs7分钟
Aggregations13分钟
Functions and Expressions Part 112分钟
Functions and Expressions Part 211分钟
Date and Time Formatting17分钟
Conditional Functions16分钟
Data Load Script14分钟
Join, Keep, and Concatenate Prefixes16分钟
Set Analysis17分钟
Exercise 04: Numeric and String Functions10分钟
Exercise 05: Inner Join3分钟
Geo Analytics in Qlik Sense5分钟
Qlik Sense Course Conclusion0分钟

1个作业总计15分钟

Getting Started in Qlik Sense - Beginner to Master - Assessment15分钟

1个插件总计15分钟

Using Qlik Sense - Loading Data and Creating Visualizations15分钟

In this module, we will introduce R programming, focusing on its role in data science. You'll learn to set up your workspace, work with data structures, and perform calculations using loops and functions. The section concludes with a hands-on mini-project to solidify your understanding and showcase your skills in analyzing and visualizing data.

涵盖的内容

71个视频1个作业1个插件

71个视频总计392分钟

Welcome!3分钟
Course Overview4分钟
Why R?5分钟
R for Data Science6分钟
Preparing Workspace4分钟
Guide to RStudio9分钟
Exercise 1 - Introduction to R3分钟
Operations-and-Variables8分钟
Data Types in R4分钟
Coding Style4分钟
Comments2分钟
Exercise 2 - Basics of R programming4分钟
Vector Creation6分钟
Selecting Components from a Vector4分钟
Labeling Vector Elements5分钟
Calculations with Vectors5分钟
Base R Functions to Use with Vectors3分钟
Comparing Two Vectors1分钟
Modifying Vector Components2分钟
Exercise 3 - Vectors6分钟
Matrix Introduction and Creation8分钟
Matrix Metrics and Naming6分钟
Selecting Elements6分钟
Matrix Arithmetic3分钟
Matrices Operations3分钟
Matrix Modification4分钟
Exercise 4 - Matrices5分钟
Array Introduction and Creation4分钟
Array Similarities to Matrices3分钟
Other Array Operations1分钟
Exercise 5 - Arrays4分钟
List Introduction and Creation5分钟
List Naming2分钟
Selecting List Elements2分钟
List Manipulation2分钟
List Operations1分钟
Exercise 6 - Lists4分钟
Factor Introduction and Creation4分钟
Setting Factor Levels6分钟
Ordering Factors5分钟
Converting Factors2分钟
Other Considerations3分钟
Exercise 7 - Factors3分钟
Loop Introduction and Creation5分钟
If-Else Statements4分钟
For Loops6分钟
While Loops13分钟
Repeat Loops2分钟
Loop Comparison3分钟
Exercise 8 - Loops5分钟
Function Introduction and Creation7分钟
Function Arguments9分钟
Nested Functions10分钟
Global Versus Local Variables3分钟
Exercise 9 - Function6分钟
Dataframe Introduction and Creation8分钟
Tidyverse2分钟
Tibbles9分钟
Tidy Data10分钟
Dplyr and Data Transformation9分钟
Summarizing Dataframes7分钟
Exercise 10 - Dataframe10分钟
Introduction to Mini-Project9分钟
Importing Data8分钟
Comprehending the Dataset12分钟
Tidying Data6分钟
Grouping Time Series Analysis Data3分钟
Data Visualization7分钟
Statistical Analysis7分钟
Exercise 11 Mini-Project5分钟
Great Job and Farewell!1分钟

1个作业总计15分钟

R Programming for Beginners: Includes R Mini-Project! - Assessment15分钟

1个插件总计15分钟

Introduction to R15分钟

In this module, we will delve into Tableau, starting from its interface to advanced visualization techniques. You'll learn to connect to data sources, build interactive dashboards, and create compelling data stories. Practical exercises will reinforce concepts such as expressions, analytical functions, and publishing workbooks for collaborative use.

涵盖的内容

33个视频1篇阅读材料3个作业

33个视频总计382分钟

Course Introduction2分钟
Tableau Introduction2分钟
Tableau Product Suite Introduction6分钟
Business Intelligence Introduction3分钟
Exploring Tableau14分钟
Tableau Data Concepts10分钟
Connecting to Data Sources7分钟
Data Sources in Tableau15分钟
Tableau Workspace15分钟
Creating a New View16分钟
Using Multiple Data Sources16分钟
Exercise 12分钟
Selecting a Chart Type Part 19分钟
Selecting a Chart Type Part 215分钟
Building a View Part 115分钟
Building a View Part 216分钟
Designing Callout Numbers and Tables11分钟
Histograms and Whisker Plots14分钟
Scatter Plot and Correlation Matrix15分钟
Spatial Charts15分钟
Creating a Dashboard15分钟
Presenting a Story15分钟
Publishing and Sharing a Workbook10分钟
Exercise 26分钟
Exercise 39分钟
Using Expressions in Tableau14分钟
Numeric Expressions and Automatic Calculations15分钟
String Expressions17分钟
Conditional Expressions16分钟
Analytical Functions16分钟
Exercise 48分钟
Exercise 510分钟
Course Conclusion0分钟

1篇阅读材料总计10分钟

Conclusion to the course 'Data Analytics and Visualization with Tableau and more'10分钟

3个作业总计90分钟

Full Course Practice Assessment15分钟
Tableau for Beginners - Getting Started in Tableau - Assessment15分钟
Full Course Assessment 60分钟

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