Amazon Web Services (AWS) - Authoring Visual Analytics Using Amazon QuickSight

Duration

Duration:

Only 1 Day

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

24/6/2024 (Monday)

Overview

On this accelerated AWS: Authoring Visual Analytics Using Amazon QuickSight course, you will learn to leverage Amazon QuickSight to make data-driven decisions across your organization.

On this course you will gain deeper business value from your data using visual analytics and ML-powered insights and you will learn to leverage Amazon QuickSight by understanding how to connect to multiple data sources and author data visualizations and dashboards, to allow end-users to make better data-driven decisions.

The Authoring Visual Analytics Using Amazon QuickSight course is led by an expert AWS instructor who will help you understand how to connect to data sources, build visuals, design interactivity, and transform your data using advanced calculations. You will learn how to apply security and access controls in QuickSight, and explore the machine learning capabilities built into QuickSight. You will gain an understanding of how to build a visual analytics solution using QuickSight through tutorials, hands-on labs, discussions, demonstrations, presentations, and group exercises.

In just 1 day, you’ll learn to explain the benefits, use cases, and key features of Amazon QuickSight. You’ll also learn how to:

  • Design, create, and customize QuickSight dashboards to visualize and extract business insights from your data
  • Select and configure appropriate visualization types to identify, explore, and drill down on business insights
  • Describe how to use one-click embed to incorporate visual analytics into applications
  • Build a data visualization solution using Amazon QuickSight.
  • Apply security best practices to your analyses.
  • Explore the machine learning capabilities built into QuickSight.

At the end of this course, you’ll achieve your Authoring Visual Analytics Using Amazon QuickSight certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

  • Data and business analysts who build and manage business analytics dashboards.

Benefits

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified fast. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
  4. Pass the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of quality learning time, with your instructor
  6. You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying with the best. We’ve been named in the Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 135,000 professionals
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts

Curriculum

Module 1: Introduction and Overview of Amazon QuickSight

  • Introducing Amazon QuickSight
  • Why use Amazon QuickSight for data visualization

Module 2: Getting Started with Amazon QuickSight

  • Interacting with Amazon QuickSight
  • Loading data into Amazon QuickSight
  • Visualizing data in Amazon QuickSight
  • Demonstration: Walkthrough of Amazon QuickSight interface
  • Practice Lab: Create your first dashboard

Module 3: Enhancing and Adding Interactivity to Your Dashboard

  • Enhancing your dashboard
  • Demonstration: Optimize the size, layout, and aesthetics of a dashboard
  • Enhancing visualizations with interactivity
  • Demonstration: Walkthrough of dashboard interactivity features
  • Practice Lab: Enhancing your dashboard

Module 4: Preparing Datasets for Analysis

  • Working with datasets
  • Demonstration: Transform your datasets for analysis
  • Practice Lab: Preparing data for analysis

Module 5: Performing Advanced Data Calculations

  • Transform data using advanced calculations
  • Practice Lab: Performing advanced data calculations
  • Activity: Designing a Visual Analytics Solution Day 2

Module 6: Overview of Amazon QuickSight Security and Access Control

  • Overview of Amazon QuickSight security and access control
  • Dataset access control in Amazon QuickSight
  • Lab: Implementing access control in Amazon QuickSight visualizations

Module 7: Exploring machine learning capabilities

  • Introducing Machine Learning (ML) insights
  • Natural Language Query with QuickSight Q
  • Demonstration: Using QuickSight Q
  • Lab: Using machine learning for anomaly detection and forecasting End of day challenge labs
  • Join data sources together
  • Create a dashboard
  • Enhance the dashboard and add interactivity
  • Perform advanced data calculations • Integrate machine learning tools into the dashboard

 

Exam Track

At the end of this accelerated course, you’ll achieve your Authoring Visual Analytics Using Amazon QuickSight Certification

This course includes presentations, demonstrations, group exercises, and practice and challenge labs.

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

Before attending this accelerated course, you should have:

  • Attendees should have a minimum of one-year experience in business intelligence or a similar function
  • Completed the following course: Data Analytics Fundamentals

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 134,561 students and asked them all to review our Accelerated Learning. Currently, 96.41% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"The trainer was absolutely fantastic. The course materials was explained to point and easily understood. All questions answered I had. I am feeling extremely confident of passing the exam and being certified."
Peter Royle, Lineage Logistics. (29/4/2024 (Monday) to 2/5/2024 (Thursday))

"It was a great week worth of training. Very intense course so not for the faint of heart! If you do decide to do a course here, be prepared but be excited. It's a great place to learn these courses and appreciate my instructor and everyone for making it a great experience!"
Robert Sizeland, Rhino Analytics. (29/4/2024 (Monday) to 2/5/2024 (Thursday))

"Good trainer. Course has a lot of content but trainer did well to make it entertaining."
Uchenna Onyia. (8/3/2024 (Friday) to 10/3/2024 (Sunday))

"Intensive course with good content"
Karen Asamoah, BPP. (4/3/2024 (Monday) to 10/3/2024 (Sunday))

"Very in-depth knowledge of the trainer made the course enjoyable"
A.K.. (4/3/2024 (Monday) to 7/3/2024 (Thursday))

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