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30-Day Money-Back Guarantee
Business Business Analytics & Intelligence Amazon QuickSight

Amazon (AWS) QuickSight - Getting Started

Get started with Amazon QuickSight - AWS' Business Intelligence (BI) answer to Tableau and Power BI
Bestseller
Rating: 4.4 out of 54.4 (1,130 ratings)
5,678 students
Created by Manuel Lorenz, Academind by Maximilian Schwarzmüller, Maximilian Schwarzmüller
Last updated 11/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • At the end of this course students will be able to connect QuickSight to different data sources and create their own analyses
  • Students will understand the basic concepts behind QuickSight and its positioning within AWS
  • Students will be able to dive deeper into QuickSight and feel comfortable in working with the tool and its different functions
Curated for the Udemy for Business collection

Requirements

  • For this course, a credit card is required to create an AWS account
  • A basic understanding of data analysis is a plus but not required

Description

Working with modern Business Intelligence tools is exciting. Although the market offers a broad variety of tools, you may not have found the tool that meets all your requirements yet. This course might change that!

In this course, you will learn how to use one of the latest Business Intelligence tools released to the market: Amazon QuickSight, a tool which allows you to easily analyze and visualize data. But what makes QuickSight special? QuickSight is a cloud solution and completely integrated into Amazon Web Services (AWS). With that, it can be easily connected to a broad variety of services and sources which make QuickSight a highly scalable, easy-to-use and very flexible data analysis tool. 

This course will give you a first overview of QuickSight including the following topics:

  • How to use QuickSight and its different functions
  • Understand the workflow of QuickSight
  • How to connect QuickSight to different data sources within and outside of AWS
  • How to prepare your data in QuickSight, for example by adding filters and calculated fields
  • How to easily create your analysis by building multiple visuals
  • How to create dashboards and stories
  • Share your project results with people within and outside your organization
  • How to use the iOS mobile app
  • Understand the user management of QuickSight
  • And more!

These topics will be covered throughout this course, but is this your course?

If you...

  • ... never worked with QuickSight and want to get started with it
  • ... are looking for a cloud based Business Intelligence tool to quickly analyze your data
  • ...have worked with other Business Intelligence tools but want to take a look at new tools
  • ... already worked with AWS and now want to understand how to analyze and visualize your data using a service within the AWS universe
  • ...are generally interested into data analysis

...then this course is made for you!

I would be really happy to welcome you in this course!

Manuel

Who this course is for:

  • People who never heard of or worked with QuickSight and who want to get started with the tool
  • Anybody who is interested into analyzing and visualizing data with modern Business Intelligence tools
  • People who want to learn how to connect QuickSight to different services within the AWS universe

Featured review

Harry Manchanda
Harry Manchanda
406 courses
93 reviews
Rating: 5.0 out of 5a year ago
Very easy to get started, I have taken many Max courses and just like Max, Manu is also a brilliant teacher🙌. To be honest, I don't know why but I didn't even felt a difference. Both guys teaching style is so similar to each other

Course content

7 sections • 74 lectures • 5h 43m total length

  • Preview02:14
  • Preview03:50
  • Preview02:36
  • Join our Online Learning Community
    00:21
  • Preview00:46
  • Let's Start: Creating our AWS and QuickSight Accounts
    Preview08:15
  • Preview08:05
  • Preview08:03
  • Preview01:40

  • The Development of QuickSight
    02:19
  • Understanding the Workflow
    02:39
  • Looking at the Interface
    06:22
  • SPICE - What it that actually?
    03:44
  • Pricing and Editions of QuickSight
    02:40

  • Module Introduction
    01:49
  • Before we Start: Understanding Data Preparation in QuickSight
    03:55
  • Loading Data: SPICE vs. Direct Query
    03:53
  • Introducing AWS S3
    06:13
  • Uploading Data and Importing Data to QuickSight
    12:47
  • A Closer Look at the Interface
    06:49
  • Working with Columns and Fields
    06:38
  • Taking a First Look at Calculated Fields
    05:04
  • Understanding Functions and Operators
    04:03
  • Adding Calculated Fields using Strings to our Project
    11:11
  • Extracting Information out of Strings
    02:43
  • Working with Conditional Functions
    08:24
  • Another Look at the IF-Function
    04:04
  • Creating Calculated Fields with Numeric Values
    03:11
  • Adding Different Filters to our Project
    06:08
  • A Little Helper: Dealing with Skipped Rows
    02:49
  • Module Summary
    01:32
  • Time to Practice: Data Preparation
    1 question

  • Module Introduction
    01:07
  • Preparing Data vs. Analyzing Data - Understanding the Differences
    02:36
  • Creating the Analysis
    02:50
  • Understanding the Interface and Creating our First Visual
    09:08
  • Understanding Dimensions and Measures
    02:55
  • Adding Additional Data Sets to our Analysis
    09:07
  • Understanding Field Formatting, Aggregation and Granularity
    05:25
  • Formatting our Visuals
    06:04
  • Adding Drill-Down
    03:28
  • Creating our First Story
    03:57
  • Creating a Treemap
    01:43
  • Applying Filters
    13:09
  • Understanding Pivot Tables
    11:17
  • Continuing our Story
    01:26
  • Understanding Heat Maps
    02:35
  • Adding a KPI visual
    08:02
  • Adding the Final Scene to our Story
    01:08
  • Module Summary
    01:17
  • Time to Practice: Analysis and Visualization
    1 question

  • Module Introduction
    01:08
  • Our Ways to Continue
    01:37
  • Understanding Refresh and Schedule Refresh
    06:42
  • Exporting our Project Data as .csv Files
    01:44
  • Adding Users to our Account - Some Theory
    04:02
  • AWS - More about IAM (Optional)
    00:54
  • Adding a User to our Account - Continuing with the Project
    08:07
  • Sharing our Data Set
    04:44
  • Sharing our Analysis
    04:59
  • Creating and Sharing Dashboards
    04:27
  • Managing Capacity and Understanding Subscriptions
    05:55
  • Taking a Quick Look at the Mobile App
    01:59
  • Module Summary
    01:38

  • Module Introduction
    00:54
  • Setting up a Database (Optional)
    06:04
  • More Information about AWS RDS
    00:18
  • Preparing Dummy Data (Optional)
    04:28
  • Connecting Quicksight to a Database
    08:32
  • More Resources about Connecting Quicksight to Databases
    00:10
  • Importing Data into SPICE
    05:42
  • Importing Data as a Query
    05:58
  • Calculated Fields & Query Imports
    02:02
  • What about NoSQL Databases?
    01:35
  • Wrap Up
    01:53

  • Congratulations
    01:58

Instructors

Manuel Lorenz
Professional Business Analyst and Instructor
Manuel Lorenz
  • 4.6 Instructor Rating
  • 61,035 Reviews
  • 566,476 Students
  • 5 Courses

Having worked as a business analyst in both a major consultancy and an investment bank, I always found myself confronted with both various and complex problem sets and challenging client demands. The rapid development of technology and business requirements forces everyone to constantly adapt and to continue learning.

Being an early adopter of new and quickly evolving tools, I always enjoyed both learning these tools and passing on my knowledge to my colleagues and fellow students. 

Since working as a business analyst implies a high affinity to programming, I also enjoy working as a web developer. It's that combination of self-taught knowledge and its application in a highly competitive consulting environment for various clients which gave me the ability to evaluate solutions from an industry perspective as well as from a learner's perspective. The latter also allows me to identify the pain points students might hit when learning these tools.

Since I always found it hard to find high quality, understandable and comprehensive learning materials, I decided to create such materials on my own. Together with Maximilian Schwarzmüller I founded Academind to offer the best possible learning experience on web development and data science to our more than 600,000 students.

Academind by Maximilian Schwarzmüller
Online Education
Academind by Maximilian Schwarzmüller
  • 4.7 Instructor Rating
  • 330,556 Reviews
  • 1,383,201 Students
  • 26 Courses

Bundling the courses and know how of successful instructors, Academind strives to deliver high quality online education. 

Online Education, Real-Life Success - that's what Academind stands for. Learn topics like web development, data analyses and more in a fun and engaging way.

Currently, you can find courses published by Maximilian Schwarzmüller and Manuel Lorenz, more instructors to come!

Keep learning!

Maximilian Schwarzmüller
Professional Web Developer and Instructor
Maximilian Schwarzmüller
  • 4.7 Instructor Rating
  • 590,667 Reviews
  • 1,402,986 Students
  • 36 Courses

Experience as (Web) Developer

Starting out at the age of 13 I never stopped learning new programming skills and languages. Early I started creating websites for friends and just for fun as well. Besides web development I also explored Python and other non-web-only languages. This passion has since lasted and lead to my decision of working as a freelance web developer and consultant. The success and fun I have in this job is immense and really keeps that passion burningly alive.

Starting web development on the backend (PHP with Laravel, NodeJS, Python) I also became more and more of a frontend developer using modern frameworks like React, Angular or VueJS in a lot of projects. I love both worlds nowadays!

As a self-taught developer I had the chance to broaden my horizon by studying Business Administration where I hold a Master's degree. That enabled me to work in a major strategy consultancy as well as a bank. While learning, that I enjoy development more than these fields, the time in this sector greatly improved my overall experience and skills.

Experience as Instructor

As a self-taught professional I really know the hard parts and the difficult topics when learning new or improving on already-known languages. This background and experience enables me to focus on the most relevant key concepts and topics. My track record of many 5-star rated courses, more than 1,000,000 students on Udemy as well as a successful YouTube channel is the best proof for that.

Whether working as development instructor or teaching Business Administration I always received great feedback. The most rewarding experience is to see how people find new, better jobs, build awesome web applications, acquire amazing projects or simply enjoy their hobby with the help of my content.

Together with Manuel Lorenz, I founded Academind to offer the best possible learning experience to our more than 1,000,000 students.

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