The Complete Data Visualization Toolkit Bundle

The Complete Data Visualization Toolkit Bundle, available at $79.99, has an average rating of 4.6, with 185 lectures, 17 quizzes, based on 12 reviews, and has 116 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Analysts and Data Scientists or Anyone looking to turn raw data into meaningful business visualizations or Anyone interested in data visualization or People who are brand-new to Tableau, Alteryx, Qlik Sense, and/or Pandas or Users who have a foundation in Tableau, Alteryx, or Qlik Sense and are seeking to advance their skills or Beginner Python developers and those who want to learn and use Pandas library It is particularly useful for Data Analysts and Data Scientists or Anyone looking to turn raw data into meaningful business visualizations or Anyone interested in data visualization or People who are brand-new to Tableau, Alteryx, Qlik Sense, and/or Pandas or Users who have a foundation in Tableau, Alteryx, or Qlik Sense and are seeking to advance their skills or Beginner Python developers and those who want to learn and use Pandas library.

Enroll now: The Complete Data Visualization Toolkit Bundle

Summary

Title: The Complete Data Visualization Toolkit Bundle

Price: $79.99

Average Rating: 4.6

Number of Lectures: 185

Number of Quizzes: 17

Number of Published Lectures: 185

Number of Published Quizzes: 17

Number of Curriculum Items: 202

Number of Published Curriculum Objects: 202

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

** 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+ hoursof video tutorials

2. 170+ individual videolectures

3. Certificate of completion

4. Course and exercise filesto help you follow along

Course Curriculum

Chapter 1: Tableau Beginner: Introduction to Tableau

Lecture 1: Course Introduction

Lecture 2: WATCH ME: Essential Information for a Successful Training Experience

Lecture 3: DOWNLOAD ME: Exercise Files

Lecture 4: Tableau Introduction

Lecture 5: Tableau Product Suite Introduction

Lecture 6: Business Intelligence introduction

Lecture 7: Exploring Tableau

Lecture 8: Tableau Data Concepts

Lecture 9: Connecting to Data Sources

Lecture 10: Data Sources in Tableau

Lecture 11: Tableau Workspace

Lecture 12: Creating a New View

Lecture 13: Using Multiple Data Sources

Lecture 14: Exercise 1

Chapter 2: Tableau Beginner: Bringing Data to Life

Lecture 1: Selecting a Chart Type Part 1

Lecture 2: Selecting a Chart Type Part 2

Lecture 3: Building a View Part 1

Lecture 4: Building a View Part 2

Lecture 5: Designing Callout Numbers and Tables

Lecture 6: Histograms and Whisker Plots

Lecture 7: Scatter Plot and Correlation Matrix

Lecture 8: Spatial Charts

Lecture 9: Creating a Dashboard

Lecture 10: Presenting a Story

Lecture 11: Publishing & Sharing a Workbook

Lecture 12: Exercise 2

Lecture 13: Exercise 3

Chapter 3: Tableau Beginner: Calculations and Expressions in Tableau

Lecture 1: Using Expressions in Tableau

Lecture 2: Numeric Expressions & Automatic Calculations

Lecture 3: String Expressions

Lecture 4: Conditional Expressions

Lecture 5: Analytical Functions

Lecture 6: Exercise 4

Lecture 7: Exercise 5

Chapter 4: Tableau Beginner: Conclusion

Lecture 1: Course Conclusion

Chapter 5: Alteryx Beginner: Introduction

Lecture 1: Introduction

Lecture 2: WATCH ME: Essential Information for a Successful Training Experience

Lecture 3: DOWNLOAD ME: Course Instructor Files

Lecture 4: Alteryx Essentials

Lecture 5: Data Types 101

Lecture 6: Components of Alteryx Workflow

Lecture 7: Formatting Your Data

Lecture 8: Basic Workflow Examples

Chapter 6: Alteryx Beginner: Data Blend & Prep

Lecture 1: Data Filtering for Beginners

Lecture 2: Intro to Blending Data

Lecture 3: Grouping Data with Alteryx

Lecture 4: Introduction to Basic Functions – Part 1

Lecture 5: Introduction to Basic Functions – Part 2

Lecture 6: Introduction to Basic Functions – Part 3

Chapter 7: Alteryx Beginner: Data Parsing

Lecture 1: Basic Parsing Methods

Lecture 2: Basic Parsing Methods with Dynamic Renaming

Lecture 3: Basic Vlookup and Append

Lecture 4: Working on Multiple Fields in Alteryx

Lecture 5: Build an Alteryx Workflow

Lecture 6: Basic Tips and Tricks

Chapter 8: Alteryx Beginner: Reporting

Lecture 1: Alteryx Best Practices – Visualizing Data

Lecture 2: Alteryx Best Practices – Visualizing Data with Texts and Charts

Lecture 3: Alteryx Best Practices – Layouts and Rendering

Chapter 9: Alteryx Beginner: Analytic Apps

Lecture 1: Introduction to Analytic Apps

Lecture 2: Introduction to Macros

Chapter 10: Alteryx Beginner: Spatial Data Analysis

Lecture 1: Intro to Data Analysis – Working Spatial Data

Lecture 2: Intro to Data Analysis – Measuring Areas and Distance

Lecture 3: Intro to Data Analysis – Working Spatial Objects

Chapter 11: Alteryx Beginner: Analytics

Lecture 1: Introduction to Analytics

Lecture 2: Introduction to K-Centroid Clustering

Lecture 3: Introduction to K-Nearest Neighbor

Lecture 4: Introduction to Market Basket Analysis

Lecture 5: Introduction to Logistic Regression Analysis

Lecture 6: Introduction to Linear Regression Analysis

Lecture 7: Introduction to Tree-based Models Part 1

Lecture 8: Introduction to Tree-based Models Part 2

Chapter 12: Alteryx Beginner: Course Close

Lecture 1: Course Close

Chapter 13: Qlik Sense Beginner: Introduction

Lecture 1: Introduction to the Course

Lecture 2: WATCH ME: Essential Information for a Successful Training Experience

Lecture 3: DOWNLOAD ME: Course Exercise and Instructor Files

Lecture 4: What is Qlik Sense?

Lecture 5: Qlik Sense vs. QlikView

Lecture 6: Different Versions of Qlik Sense

Lecture 7: Exploring the Qlik Sense Interface

Lecture 8: Loading Data Part 1

Lecture 9: Loading Data Part 2

Lecture 10: Creating & Loading Apps

Lecture 11: Adding Your First Chart

Instructors

Simon Sez IT
870,000+ Students, 260+ Courses, Learners in 180+ Countries

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 6 votes

5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!