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Business Intelligence with Quicksight and Tableau

person icon Harshit Srivastava

3.9

Business Intelligence with Quicksight and Tableau

Learn Data Visualization and Analysis

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Harshit Srivastava

English [CC]

category icon Tableau,Data Visualization,Data Analysis,Development

Lectures -24

Duration -1.5 hours

3.9

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Course Description

Here in this course, you will learn about Business Intelligence and Data Visualization with practical examples using Amazon Quicksight and Tableau. You will learn to import various types of datasets in a BI tool. Various operations could be performed on this imported dataset such as adding filters and creating new columns or modifying data values using calculated fields. We can also remove certain data elements using the excluded lists and conditional formatting. You will learn about these concepts in a stepwise manner.

Moreover, you would also learn to create data visualization charts that help you visualize information in compressed form in a categorized way. You could find insights from complex data using a combination of charts that can be further dived deeper by adding filters. You would learn to create various types of data charts on both Tableau and Quicksight. 

You will learn various concepts with practical examples in Tableau such as-

  • How to import an excel file in Tableau

  • Various chart types

  • Creating Map Visualization

  • Converting measures to dimensions and vice versa

  • Calculating Measure and creating a dual-axis chart

  • Creating multiple worksheets

  • Creating a dashboard

  • Using the map as a filter

  • Creating custom filters

  • Adding filters to the dashboard

  • Creating an Analytics dashboard with filters

  • Creating a Calculated field

  • Butterfly chart

  • Word Cloud

Moreover, you would learn various lessons on AWS Quicksights such as-

  • Getting Started with Quicksight

  • Importing datasets and understanding groups and values

  • Creating Treemap and Customizing charts

  • Data Preparation- Editing Dataset before creating Charts

  • Create a Calculated Field using Functions- ceil and concat

  • More calculated fields

  • Creating Filters and Excluded list

  • Map Chart and Conditional Formatting

  • Pivot table

Goals

  • You could create visualization charts on Quicksight and Tableau
  • You could find meaningful insights from the dataset
  • You could arrange Data charts on a dashboard
  • You could perform various operations such as using filter, calculated fields, etc

Prerequisites

  • No experience is required in Data Visualization or Business Intelligence, you will learn everything from the beginning.
Business Intelligence with Quicksight and Tableau

Curriculum

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

Introduction
1 Lectures
  • play icon Introduction 02:22 02:22
Getting started with Tableau
3 Lectures
Tutorialspoint
Working in Tableau
4 Lectures
Tutorialspoint
Advanced lessons- Filters, Calculated fields and more
7 Lectures
Tutorialspoint
Data Visualization on Cloud using AWS Quicksight
3 Lectures
Tutorialspoint
Working in Quicksight
4 Lectures
Tutorialspoint
Conditional Formatting and Pivot Table
2 Lectures
Tutorialspoint

Instructor Details

Harshit Srivastava

Harshit Srivastava

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 realize VALUE of Knowledge and Human Life.

Currently I am teaching more than 152,000 students from 189 countries across the world.

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