The Complete Data Visualization Toolkit Bundle

Get started with Tableau Desktop, Alteryx, Qlik Sense, and Python Pandas in this ultimate six-course bundle!

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
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 suiteWhat business intelligence isThe Tableau interface and its major functionsWhich data structures are suitable for TableauHow Tableau reads and categorizes dataDifferent data concepts and theoryHow to connect and manage data sources in TableauHow to navigate the Tableau workspaceHow to build a view and different chart types in TableauHow to create a dashboard in TableauHow to publish and share a workbookHow to use calculated fields in TableauHow to use numeric, string, conditional, and analytical expressions/functions in TableauIntroduction to Alteryx:Using Alteryx workflows to cut out repetitive tasksBuilding visual workflows in AlteryxHow to make the most of 'Favorite Tools' as core Alteryx building blocksFiltering data in AlteryxUsing the basic functions in Alteryx to match dataHow to dynamically rename datasetsHow to parse data in AlteryxCreating reports in Alteryx that run on demandUsing the predictive tools in Alteryx to perform data analysisBuilding a k-centroid clustering model using AlteryxCreating a logistic regression in AlteryxMaking a decision tree-based regression in AlteryxConstructing a random forest-based modelGetting Started in Qlik Sense:The difference between Qlik Sense and Qlik ViewHow to load data in Qlik SenseHow to create and upload apps in Qlik SenseAll about the different charts and graphs available in Qlik SenseAll about Tables and Pivot Tables in Qlik SenseHow to create your analysis in the Story Telling tabAbout numeric and string functions in Qlik SenseHow to use the date and time formatting functionsHow to use Conditional FunctionsHow to combine tables using JOIN, KEEP and CONCATENATEHow to use different charts and tablesHow to use the Qlik Sense Geo Analytics tools (maps)Tableau Advanced:Parameters and sample use casesLevel of Detail (LOD) expressionsWorking with groups and setsUse of spatial functionsAdvanced filtersTable calculationsHow to add interactivity using actionsAnimating your visualizationsAdvanced Tableau charts—circular, sunburst, bump, funnel, candlestick, and Sankey chartsBuilding geospatial dashboards and sales dashboardsCreating dashboards that utilize radial chartsAlteryx Advanced:Using multiple files and CalgarySampling data and using wild matchesData cleansing, manipulation, binning, and groupingUsing RegEx (regular expressions) and parsing XMLWorking with In-DatabaseBlending, selecting, and summarizing dataTake your apps and macros to the next levelUsing iterative and batch macrosUnderstanding app errors and conditionsCustomizing apps and macrosAll about Machine Learning and the Alteryx Intelligence SuitePandas for Beginners:An overview of PandasInstalling Pandas on your computerUsing the two primary Pandas data structures, Series and DataFrameViewing data imported from an external sourceOrganizing input data using indexing and filteringUsing Pandas for data preprocessingAddressing missing values and duplicate rowsFormatting your data most efficientlyProcessing different data typesData manipulation using string functionsDate and time formattingThis course includes:29+ hours of video tutorials170+ individual video lecturesCertificate of completionCourse and Exercise files to help you follow alongDid you know?Simon Sez IT teaches all sorts of software, including:Microsoft ExcelMicrosoft PowerPointMicrosoft WordMicrosoft ProjectMicrosoft OutlookQuickBooksPhotoshop ElementsWeb Development LanguagesAnd so much more!

Overview

Section 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

Section 2: Tableau Beginner: Bringing Data to Life

Lecture 15 Selecting a Chart Type Part 1

Lecture 16 Selecting a Chart Type Part 2

Lecture 17 Building a View Part 1

Lecture 18 Building a View Part 2

Lecture 19 Designing Callout Numbers and Tables

Lecture 20 Histograms and Whisker Plots

Lecture 21 Scatter Plot and Correlation Matrix

Lecture 22 Spatial Charts

Lecture 23 Creating a Dashboard

Lecture 24 Presenting a Story

Lecture 25 Publishing & Sharing a Workbook

Lecture 26 Exercise 2

Lecture 27 Exercise 3

Section 3: Tableau Beginner: Calculations and Expressions in Tableau

Lecture 28 Using Expressions in Tableau

Lecture 29 Numeric Expressions & Automatic Calculations

Lecture 30 String Expressions

Lecture 31 Conditional Expressions

Lecture 32 Analytical Functions

Lecture 33 Exercise 4

Lecture 34 Exercise 5

Section 4: Tableau Beginner: Conclusion

Lecture 35 Course Conclusion

Section 5: Alteryx Beginner: Introduction

Lecture 36 Introduction

Lecture 37 WATCH ME: Essential Information for a Successful Training Experience

Lecture 38 DOWNLOAD ME: Course Instructor Files

Lecture 39 Alteryx Essentials

Lecture 40 Data Types 101

Lecture 41 Components of Alteryx Workflow

Lecture 42 Formatting Your Data

Lecture 43 Basic Workflow Examples

Section 6: Alteryx Beginner: Data Blend & Prep

Lecture 44 Data Filtering for Beginners

Lecture 45 Intro to Blending Data

Lecture 46 Grouping Data with Alteryx

Lecture 47 Introduction to Basic Functions - Part 1

Lecture 48 Introduction to Basic Functions - Part 2

Lecture 49 Introduction to Basic Functions - Part 3

Section 7: Alteryx Beginner: Data Parsing

Lecture 50 Basic Parsing Methods

Lecture 51 Basic Parsing Methods with Dynamic Renaming

Lecture 52 Basic Vlookup and Append

Lecture 53 Working on Multiple Fields in Alteryx

Lecture 54 Build an Alteryx Workflow

Lecture 55 Basic Tips and Tricks

Section 8: Alteryx Beginner: Reporting

Lecture 56 Alteryx Best Practices - Visualizing Data

Lecture 57 Alteryx Best Practices - Visualizing Data with Texts and Charts

Lecture 58 Alteryx Best Practices - Layouts and Rendering

Section 9: Alteryx Beginner: Analytic Apps

Lecture 59 Introduction to Analytic Apps

Lecture 60 Introduction to Macros

Section 10: Alteryx Beginner: Spatial Data Analysis

Lecture 61 Intro to Data Analysis - Working Spatial Data

Lecture 62 Intro to Data Analysis - Measuring Areas and Distance

Lecture 63 Intro to Data Analysis - Working Spatial Objects

Section 11: Alteryx Beginner: Analytics

Lecture 64 Introduction to Analytics

Lecture 65 Introduction to K-Centroid Clustering

Lecture 66 Introduction to K-Nearest Neighbor

Lecture 67 Introduction to Market Basket Analysis

Lecture 68 Introduction to Logistic Regression Analysis

Lecture 69 Introduction to Linear Regression Analysis

Lecture 70 Introduction to Tree-based Models Part 1

Lecture 71 Introduction to Tree-based Models Part 2

Section 12: Alteryx Beginner: Course Close

Lecture 72 Course Close

Section 13: Qlik Sense Beginner: Introduction

Lecture 73 Introduction to the Course

Lecture 74 WATCH ME: Essential Information for a Successful Training Experience

Lecture 75 DOWNLOAD ME: Course Exercise and Instructor Files

Lecture 76 What is Qlik Sense?

Lecture 77 Qlik Sense vs. QlikView

Lecture 78 Different Versions of Qlik Sense

Lecture 79 Exploring the Qlik Sense Interface

Lecture 80 Loading Data Part 1

Lecture 81 Loading Data Part 2

Lecture 82 Creating & Loading Apps

Lecture 83 Adding Your First Chart

Lecture 84 Editing Your Visualization Part 1

Lecture 85 Editing Your Visualization Part 2

Lecture 86 Publishing and Sharing Apps

Lecture 87 Exercise 01: Loading Data

Section 14: Qlik Sense Beginner: Beginners Guide to Visualization

Lecture 88 Data Assets in Visualization Part 1

Lecture 89 Data Assets in Visualization Part 2

Lecture 90 Types of Charts & Graphs Part 1

Lecture 91 Types of Charts & Graphs Part 2

Lecture 92 Types of Charts & Graphs Part 3

Lecture 93 Types of Charts & Graphs Part 4

Lecture 94 Types of Charts & Graphs Part 5

Lecture 95 Generating Insights and Analysis

Lecture 96 Exercise 02: Build a chart

Lecture 97 Exercise 03: Types of Charts and Graphs

Section 15: Qlik Sense Beginner: Scripting Basics

Lecture 98 Aggregations

Lecture 99 Functions & Expressions Part 1

Lecture 100 Functions & Expressions Part 2

Lecture 101 Date and Time Formatting

Lecture 102 Conditional Functions

Lecture 103 Data Load Script

Lecture 104 Join, Keep, and Concatenate Prefixes

Lecture 105 Set Analysis

Lecture 106 Exercise 04: Numeric and String Functions

Lecture 107 Exercise 05: Inner Join

Section 16: Qlik Sense Beginner: GeoAnalytics

Lecture 108 Geo Analytics in Qlik Sense

Section 17: Qlik Sense Beginner: Course Conclusion

Lecture 109 Qlik Sense Course Conclusion

Section 18: Tableau Advanced: Intro and Advanced Calculations & Functions

Lecture 110 Welcome to the Course

Lecture 111 WATCH ME: Essential Information for a Successful Training Experience

Lecture 112 DOWNLOAD ME: Course Instructor Files

Lecture 113 Advancing in Tableau

Lecture 114 Parameters Part 1

Lecture 115 Parameters Part 2

Lecture 116 Level of Detail Expressions

Lecture 117 Groups & Sets

Lecture 118 Spatial Functions

Lecture 119 Geospatial Charts Part 1

Lecture 120 Geospatial Charts Part 2

Lecture 121 Advanced Filters

Lecture 122 Table Calculations

Lecture 123 Table Calculations Examples

Section 19: Tableau Advanced: Improving Dashboards

Lecture 124 Actions

Lecture 125 Animating your Visualization

Lecture 126 Advanced Tableau Charts Part 1

Lecture 127 Advanced Tableau Charts Part 2

Lecture 128 Advanced Tableau Charts Part 3

Lecture 129 Visual Analytics Best Practices

Lecture 130 Geospatial Dashboard

Lecture 131 Marketing Dashboard Part 1

Lecture 132 Marketing Dashboard Part 2

Lecture 133 Sales Dashboard

Section 20: Tableau Advanced: Exercise & Conclusion

Lecture 134 DOWNLOAD ME: Course Exercise Files

Lecture 135 Exercise 1

Lecture 136 Exercise 2

Lecture 137 Exercise 3

Lecture 138 Exercise 4

Lecture 139 Exercise 5

Lecture 140 Ending video

Section 21: Alteryx Advanced: Data Cleansing & Manipulation

Lecture 141 Introduction to the Course

Lecture 142 WATCH ME: Essential Information for a Successful Training Experience

Lecture 143 DOWNLOAD ME: Course Instructor Files

Lecture 144 Using Multiple Files & Calgary

Lecture 145 Sampling

Lecture 146 Tiles & Binning

Lecture 147 Cleaning

Lecture 148 Wild Matches & Grouping

Lecture 149 RegEx & Parsing XML

Lecture 150 Gathering Numbers

Section 22: Alteryx Advanced: Working in Database

Lecture 151 In-Database

Lecture 152 Blending

Lecture 153 Select & Summarize

Section 23: Alteryx Advanced: Apps & Macros

Lecture 154 Level-up Your Apps & Macros Part 1

Lecture 155 Level-up Your Apps & Macros Part 2

Lecture 156 Batch Macros

Lecture 157 App Errors & Conditions

Lecture 158 App & Macro Customization

Section 24: Alteryx Advanced: Intelligence Suite

Lecture 159 Machine Learning Part 1

Lecture 160 Machine Learning Part 2

Lecture 161 Machine Learning Part 3

Lecture 162 Machine Learning Part 4

Lecture 163 Machine Learning Part 5

Section 25: Alteryx Advanced: Exercises and Course Close

Lecture 164 DOWNLOAD ME: Course Exercise Files

Lecture 165 Exercise 1

Lecture 166 Exercise 2

Lecture 167 Exercise 3

Lecture 168 Exercise 4

Lecture 169 Exercise 5

Lecture 170 Ending Video

Section 26: Python Pandas: Introduction

Lecture 171 Introduction to Pandas

Lecture 172 WATCH ME: Essential Information for a Successful Training Experience

Lecture 173 DOWNLOAD ME: Course Instructor Files

Lecture 174 Pandas Installation

Section 27: Python Pandas: Pandas Objects

Lecture 175 Introduction to Pandas Series

Lecture 176 Introduction to Pandas Data Frame

Lecture 177 Reading Data From Files

Lecture 178 Selection and Filtering

Section 28: Python Pandas: Data Preprocessing

Lecture 179 Handling Missing Values and Duplicates

Lecture 180 DataFrame Manipulation

Lecture 181 Data Transformation

Section 29: Python Pandas: Data Processing

Lecture 182 Processing Numerical Format

Lecture 183 Processing String Format

Lecture 184 Processing DateTime Format

Section 30: Python Pandas: Data Visualization

Lecture 185 Visualize Your Data

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