Learn Data Science and Analytics with AWS Quicksight

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

What you'll learn:
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

Requirements:
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

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.

Who this course is for:
Anyone who is curious to learn Data Science on AWS cloud computing platform using Quicksight
Anyone interested in creating Data Visualization Charts such as Sankey, Map, etc
Students and Professionals interested in learning AWS Quicksight
Anyone interested in Data Analysis and Business Intelligence

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