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The Complete Data Visualization Toolkit Bundle
Rating: 4.5 out of 5(16 ratings)
137 students

The Complete Data Visualization Toolkit Bundle

Get started with Tableau Desktop, Alteryx, Qlik Sense, and Python Pandas in this ultimate six-course bundle!
Created bySimon Sez IT
Last updated 10/2022
English

What you'll learn

  • The Tableau interface and its major functions
  • Which data structures are suitable for Tableau
  • Connect and manage data sources in Tableau
  • Create a dashboard in Tableau and animate your visualizations
  • Use calculated fields and spatial functions in Tableau
  • Level of Detail (LOD) expressions
  • Advanced filters and table calculations in Tableau
  • Advanced Tableau charts—circular, sunburst, bump, funnel, candlestick, and Sankey charts
  • Using Alteryx workflows to cut out repetitive tasks
  • Creating reports in Alteryx that run on demand
  • Building visual workflows in Alteryx
  • Building a k-centroid clustering model using Alteryx
  • Using multiple files and Calgary in Alteryx
  • All about Machine Learning and the Alteryx Intelligence Suite
  • Take your apps and macros to the next level in Alteryx
  • Data cleansing, manipulation, binning, and grouping in Alteryx
  • How to become a Qlik Sense designer
  • All about the different charts and graphs available in Qlik Sense
  • How to create your analysis in the Story Telling tab
  • How to use the Qlik Sense Geo Analytics tools (maps)
  • An overview of Pandas and installing Pandas on your computer
  • Using the two primary Pandas data structures, Series and DataFrame
  • Viewing data imported from an external source and using Pandas for data preprocessing
  • Organizing input data using indexing and filtering and formatting your data most efficiently
  • Processing different data types and data manipulation using string functions

Course content

30 sections185 lectures29h 37m total length
  • Course Introduction2:12
  • WATCH ME: Essential Information for a Successful Training Experience2:03

    Watch this video to learn essential setup steps for the training, including downloading and unzipping exercise files, selecting the right video quality and playback speed, and understanding review requests.

  • DOWNLOAD ME: Exercise Files0:23
  • Tableau Introduction2:14
  • Tableau Product Suite Introduction5:59
  • Business Intelligence introduction3:01
  • Exploring Tableau14:17
  • Tableau Data Concepts10:43

    Explore Tableau data concepts, including how to structure data in tall format for Tableau, distinguish dimensions and measures, and use discrete and continuous fields to build insightful visualizations.

  • Connecting to Data Sources7:27

    Connect Tableau to data sources by linking flat files, databases, and web data connectors, with options for live or extract refreshes and custom SQL queries.

  • Data Sources in Tableau15:13

    Learn how Tableau’s data source page manages connections, edits, and color-tagged previews. Compare live and extract options, filters, and basic data cleaning tools like the data interpreter.

  • Tableau Workspace15:16
  • Creating a New View16:39
  • Using Multiple Data Sources13:17
  • Exercise 12:41

    Load food list into Tableau, relate by food ID, convert ID to a measure, and create a horizontal bar chart of course and prep time and flavor profile tree map.

  • Section Quiz

Requirements

  • Access to the relevant software/application is beneficial (Tableau Desktop, Alteryx, Qlik Sense, Python and Pandas)
  • An understanding of data analytics is helpful
  • A fundamental understanding of basic Python syntax to take the Pandas course is needed

Description

** This course bundle includes practice exercises and downloadable data files to work and follow along with, plus LIFETIME access!


In this incredible-value, six-course bundle, learn and master the essential tools that can help turn your large complex data into meaningful visualizations that are easier to understand.


If you want to get started with data analytics and visualization software, then this Data Visualization Toolkit is a good place to begin. This bundle includes six full beginner and advanced courses in Tableau Desktop, Alteryx, Qlik Sense, and Python Pandas.


What's included?


Tableau for Beginners:

  • What Tableau is and the product suite

  • What business intelligence is

  • The Tableau interface and its major functions

  • Which data structures are suitable for Tableau

  • How Tableau reads and categorizes data

  • Different data concepts and theory

  • How to connect and manage data sources in Tableau

  • How to navigate the Tableau workspace

  • How to build a view and different chart types in Tableau

  • How to create a dashboard in Tableau

  • How to publish and share a workbook

  • How to use calculated fields in Tableau

  • How to use numeric, string, conditional, and analytical expressions/functions in Tableau


Introduction to Alteryx:

  • Using Alteryx workflows to cut out repetitive tasks

  • Building visual workflows in Alteryx

  • How to make the most of 'Favorite Tools' as core Alteryx building blocks

  • Filtering data in Alteryx

  • Using the basic functions in Alteryx to match data

  • How to dynamically rename datasets

  • How to parse data in Alteryx

  • Creating reports in Alteryx that run on demand

  • Using the predictive tools in Alteryx to perform data analysis

  • Building a k-centroid clustering model using Alteryx

  • Creating a logistic regression in Alteryx

  • Making a decision tree-based regression in Alteryx

  • Constructing a random forest-based model


Getting Started in Qlik Sense:

  • The difference between Qlik Sense and Qlik View

  • How to load data in Qlik Sense

  • How to create and upload apps in Qlik Sense

  • All about the different charts and graphs available in Qlik Sense

  • All about Tables and Pivot Tables in Qlik Sense

  • How to create your analysis in the Story Telling tab

  • About numeric and string functions in Qlik Sense

  • How to use the date and time formatting functions

  • How to use Conditional Functions

  • How to combine tables using JOIN, KEEP and CONCATENATE

  • How to use different charts and tables

  • How to use the Qlik Sense Geo Analytics tools (maps)


Tableau Advanced:

  • Parameters and sample use cases

  • Level of Detail (LOD) expressions

  • Working with groups and sets

  • Use of spatial functions

  • Advanced filters

  • Table calculations

  • How to add interactivity using actions

  • Animating your visualizations

  • Advanced Tableau charts—circular, sunburst, bump, funnel, candlestick, and Sankey charts

  • Building geospatial dashboards and sales dashboards

  • Creating dashboards that utilize radial charts


Alteryx Advanced:

  • Using multiple files and Calgary

  • Sampling data and using wild matches

  • Data cleansing, manipulation, binning, and grouping

  • Using RegEx (regular expressions) and parsing XML

  • Working with In-Database

  • Blending, selecting, and summarizing data

  • Take your apps and macros to the next level

  • Using iterative and batch macros

  • Understanding app errors and conditions

  • Customizing apps and macros

  • All about Machine Learning and the Alteryx Intelligence Suite


Pandas for Beginners:

  • An overview of Pandas

  • Installing Pandas on your computer

  • Using the two primary Pandas data structures, Series and DataFrame

  • Viewing data imported from an external source

  • Organizing input data using indexing and filtering

  • Using Pandas for data preprocessing

  • Addressing missing values and duplicate rows

  • Formatting your data most efficiently

  • Processing different data types

  • Data manipulation using string functions

  • Date and time formatting


This course bundle includes:

  1. 29+ hours of video tutorials

  2. 170+ individual video lectures

  3. Certificate of completion

  4. Course and exercise files to help you follow along

Who this course is for:

  • Data Analysts and Data Scientists
  • Anyone looking to turn raw data into meaningful business visualizations
  • Anyone interested in data visualization
  • People who are brand-new to Tableau, Alteryx, Qlik Sense, and/or Pandas
  • Users who have a foundation in Tableau, Alteryx, or Qlik Sense and are seeking to advance their skills
  • Beginner Python developers and those who want to learn and use Pandas library