Data Science and Analytics with AWS Quicksight

person icon Harshit Srivastava

Data Science and Analytics with AWS Quicksight

Learn to create Data Visualization charts and Prepare your dataset to find insights and trend

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Harshit Srivastava

architecture icon Data Science and AI ML,Data Analysis,Amazon AWS,Development


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Course Description

In this course you would learn to create Visualization Charts and Data Preparation in AWS Quicksight. It is a powerful Business Intelligence tool that can be used perform a wide range of tasks such as-

  • Importing Dataset form multiple sources such as direct upload, S3 bucket, Redshift and other databases in multiple formats such as csv, xls and more.

  • Data Cleaning- by removing unwanted rows, columns or fields, from the dataset based on a given condition by using Filters and Excluded lists

  • Data Preparation- by adding custom columns or fields by either using a mathematical function or by customizing some existing fields using various function such as concat, ceil and much more

  • Changing Field type among String, Integer, Decimal, Country, State, Date, Time and other formats

  • Visualization Charts- by taking multiple fields and arranging them in Dimensions and Measures.

  • Analytics Dashboard- by creating various visualization charts and combining them on a single page to create a BI report or Analytics dashboard. It could be used to find insights from the dataset and identify trends, outliers and critical information

  • Conditional Formatting- by customizing the visual charts in terms of colors, data values, date range, value range and others

You will learning these data skills in this course. Data Science involves various phases from data extraction, data preparation, data cleaning, modelling to data visualization and analysis. With AWS Quicksight, we can perform most of these Data science tasks and you will learn about some of them in the step wise manner. Firstly, you will learn to create a analytics dashboard right from the dataset. You will learn to import a dataset on AWS. Next you will learn to create some of the basic visualization charts such as bar, pie, treemap and other charts. After getting familiar with the Quicksight interface, you will learn to prepare your dataset so that only useful and relevant information in passed to the visualization phase. You will learn to create Filters, Excluded lists and Calculated fields where you could add, remove or modify any of the data element. 

After learning data preparation, you will learn to create some of the advanced visualization charts such as Map chart, Pivot table and Sankey chart. Using various charts you can create a analytics dashboard to find useful insights from the dataset.


What will you learn in this course:

  • You would be able to create various kinds of Visualization charts using AWS Quicksight
  • You could create charts such as Pie, Bar, Sankey, Treemap and Pivot table
  • You could visually find insights from the dataset and perform analysis to find useful information
  • You could also prepare your data before visualization by removing unwanted rows, columns and cells based on given conditions
  • You could create Filters and Calculated fields to perform data cleaning and preparation


What are the prerequisites for this course?

  • Before taking this course, if you are familiar with AWS (Amazon Web Services) cloud computing platform, it would be useful
  • Basic idea about data preparation such as with Excel or any BI editors
Data Science and Analytics with AWS Quicksight


Check out the detailed breakdown of what’s inside the course

1 Lectures
  • play icon Introduction 01:21 01:21
Getting Started with Quicksight
3 Lectures
Data Preparation
4 Lectures
Data Visualization
4 Lectures
Advanced Chart
4 Lectures

Instructor Details

Harshit Srivastava

Harshit Srivastava

SME on Cloud, Bluemix

I am Self-Taught developer who had worked on various platforms using varied languages, and involved in various Projects both Open Source and Proprietary.

I have developed Web and Android Applications, chrome Extension, worked on various frameworks, fixed bugs for some projects, and explored numerous others. I think education and learning should be free and open, not be bound with restrictions like attending classes or going to college, People from all age groups, gender, faith, race, nations, etc must get equal privilege. When entire world would act this way like being a single FAMILY, we would truly realise VALUE of Knowledge and Human Life.

Currently I am teaching more than 60,000 students from 163 countries across the world.

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