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The 2022 Big Data Visualization Toolkit Bundle

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Add to Cart ($39)
$3,493
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Courses
7
Lessons
282

What's Included

Product Details

Access
Lifetime
Content
5.75 hours
Lessons
35

Introduction to Alteryx

Get Started with the Alteryx Designer & Make Sense of the Volume of Raw Data You Have

By StreamSkill | in Online Courses

There is no getting away from it. We now live in a world where data dominates. Decisions in business, government, the economy, which music to listen to, or new shows to watch, it's all about data. Happily, there is a growing number of tools to help make sense of the volume of raw data now available. Alteryx is one of those. In this Introduction to Alteryx course, we show you how to get started with the Alteryx Designer and set you on a path to becoming an Alteryx developer. You don't need any previous knowledge of Alteryx to take this course. An intermediate to advanced Excel understanding is useful.

4.89/5 average rating: ★ ★ ★ ★

  • Access 35 lectures & 5.75 hours of content 24/7
  • Use Alteryx workflows to cut out repetitive tasks
  • Build visual workflows in Alteryx
  • Make the most of 'Favorite Tools' as core Alteryx building blocks
  • Filter data
  • Use the basic functions to match data
  • Dynamically rename datasets
  • Parse data
  • Create reports that run on demand
  • Use the predictive tools in Alteryx to perform data analysis
  • Build a k-centroid clustering model
  • Turn a workflow into an analytic app using a GUI
  • Publish work to a gallery to allow others to view
NOTE: Software NOT included.
StreamSkill.com
4.48/5 average rating: ★ ★ ★ ★

StreamSkill.com is part of the Simon Sez IT family. We've been in business for over 14 years, training over 1 million students in 180+ countries.

The "IT" in Simon Sez IT stands for "Information Technology." We make business and technical software simple to learn. We offer instruction to help learners win regarding computer and software technology.

Our approach to teaching comes from our passion for fully explaining how something works. We don't skirt around the edges. We think that if you're going to teach something, teach it right. We take the time to explain the ins and outs, back it up with practice exercises and tests, and always teach in a visually easy-to-follow way via video.

We hire only the best authors to teach, and our style is to take the time to explain things in the detail they deserve. That means our courses are perfect if you're new to a specific technology or just technology shy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Access to Alteryx Designer is useful but not necessary

Access
Lifetime
Content
6.5 hours
Lessons
33

Tableau for Beginners

Explore Tableau Desktop & Start Building Your Very Own Visualizations

By StreamSkill | in Online Courses

Tableau is one of the best data analytics and business intelligence tools available. In this course, we introduce you to this powerful, market-leading tool and get you started building your very own visualizations. Move at your own pace as you learn how to navigate Tableau, connect to data sources, and make use of the drag-and-drop interface to create interactive charts and dashboards. We’ll cover everything from understanding business intelligence and basic data concepts to applying your own calculations, expressions, and functions in Tableau. Please note that only Tableau Desktop is featured in this course.

4.33/5 average rating: ★ ★ ★ ★

  • Access 33 lectures & 6.5 hours of content 24/7
  • Know what Tableau & the product suite are
  • Learn what business intelligence is
  • Explore Tableau interface & its major functions
  • Know which data structures are suitable for Tableau
  • Learn how Tableau reads & categorizes data
  • Study different data concepts & theory
  • Connect & manage data sources
  • Navigate the Tableau workspace
  • Build a view & different chart types
  • Create a dashboard
  • Publish & share a workbook
  • Use calculated fields
  • Use numeric, string, conditional & analytical expressions/functions
NOTE: Software NOT included.
StreamSkill.com
4.48/5 average rating: ★ ★ ★ ★

StreamSkill.com is part of the Simon Sez IT family. We've been in business for over 14 years, training over 1 million students in 180+ countries.

The "IT" in Simon Sez IT stands for "Information Technology." We make business and technical software simple to learn. We offer instruction to help learners win regarding computer and software technology.

Our approach to teaching comes from our passion for fully explaining how something works. We don't skirt around the edges. We think that if you're going to teach something, teach it right. We take the time to explain the ins and outs, back it up with practice exercises and tests, and always teach in a visually easy-to-follow way via video.

We hire only the best authors to teach, and our style is to take the time to explain things in the detail they deserve. That means our courses are perfect if you're new to a specific technology or just technology shy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Access to Tableau Desktop is useful but not necessary

Access
Lifetime
Content
5.0 hours
Lessons
28

Advanced Tableau

Kickstart Your Data Analysis Career with Advanced Concepts in Tableau

By StreamSkill | in Online Courses

In this Tableau masterclass, you can build expert-level skills that will advance your data analysis career. This course introduces advanced topics in Tableau. We’ll kick things off with a section on parameters and then learn about Level of Detail (LOD) expressions, sets, spatial functions, advanced filters, and table calculations. Move at your own pace as you learn how to animate your visualizations and build Sankey diagrams, geospatial charts, sunburst charts, and circular charts, among others, to create sophisticated visual data presentations. From there, we’ll show you how to use charts to create your own dashboards.

The last chapter of this course consists of five exercises that run through everything from building dashboards with animated visualization and LOD expressions, building circular calendar charts, bump charts, and area charts, and finally building a Sankey diagram that will highlight actions.

This advanced course is designed for those who already have a good foundation in Tableau, we recommend taking our Tableau beginner course before taking this class. This is a video-led training course suitable for Windows or Mac users. Please note that the course features only Tableau Desktop.

  • Access 28 lectures & 5 hours of content 24/7
  • Study parameters & sample use cases
  • Focus on Level of Detail (LOD) expressions
  • Work with groups & sets
  • Use spatial functions
  • Use advanced filters
  • Do table calculations
  • Add interactivity using actions
  • Animate your visualizations
  • Explore advanced Tableau charts—circular, sunburst, bump, funnel, candlestick & Sankey charts
  • Build geospatial dashboards & sales dashboards
  • Create dashboards that utilize radial charts
NOTE: Software NOT included.
StreamSkill.com
4.48/5 average rating: ★ ★ ★ ★

StreamSkill.com is part of the Simon Sez IT family. We've been in business for over 14 years, training over 1 million students in 180+ countries.

The "IT" in Simon Sez IT stands for "Information Technology." We make business and technical software simple to learn. We offer instruction to help learners win regarding computer and software technology.

Our approach to teaching comes from our passion for fully explaining how something works. We don't skirt around the edges. We think that if you're going to teach something, teach it right. We take the time to explain the ins and outs, back it up with practice exercises and tests, and always teach in a visually easy-to-follow way via video.

We hire only the best authors to teach, and our style is to take the time to explain things in the detail they deserve. That means our courses are perfect if you're new to a specific technology or just technology shy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: advanced
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Beginner to intermediate knowledge of Tableau is required for this course. Access to Tableau Desktop is useful but not necessary

Access
Lifetime
Content
6.5 hours
Lessons
71

Introduction to R Programming

Learn the Basics of R Programming & Import Data from Various File Formats

By StreamSkill | in Online Courses

In this Introduction to R Programming course, we assume you are brand new to R Programming and teach you the basics of this impressive programming language.

We’ll start by introducing you to R, why it’s used by data scientists, and what it’s capable of. After that, we get you set up in R Studio and show you how to prepare the R Workspace. We then launch into Data Types in R, Coding Style in R. We also show you how to import data into R Studio from various file formats before launching into the essential R components - Vectors, Matrices, Arrays, Lists, Factors, Loops, Functions, Dataframes and so much more.

We end the course with a mini-project where we pull everything you have learned together and set you an R Programming challenge.

  • Access 71 lectures & 6.5 hours of content 24/7
  • Know what R is & how it is used in data science
  • Learn data types in R, coding style & comments
  • Use vectors
  • Use Matrices in R, including matric operations and modification
  • Use arrays
  • Use lists in R, including how to select list elements
  • Learn all about factors in R
  • Use loops in R & IF, ELSE statements
  • Use functions
  • Use data frames, including tidyverse & tibbles
  • Complete your first R programming assignment
NOTE: Software NOT included.
StreamSkill.com
4.48/5 average rating: ★ ★ ★ ★

StreamSkill.com is part of the Simon Sez IT family. We've been in business for over 14 years, training over 1 million students in 180+ countries.

The "IT" in Simon Sez IT stands for "Information Technology." We make business and technical software simple to learn. We offer instruction to help learners win regarding computer and software technology.

Our approach to teaching comes from our passion for fully explaining how something works. We don't skirt around the edges. We think that if you're going to teach something, teach it right. We take the time to explain the ins and outs, back it up with practice exercises and tests, and always teach in a visually easy-to-follow way via video.

We hire only the best authors to teach, and our style is to take the time to explain things in the detail they deserve. That means our courses are perfect if you're new to a specific technology or just technology shy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Access to R Studio is useful but not necessary

Access
Content
6.0 hours
Lessons
67

Introduction to Python

By StreamSkill | in Online Courses

Data is King in the modern business world. Being able to harness, analyze, and draw insight from that data is one of the most sought after skills in today's job market.

Enter Python - one of the most popular languages for data analysis and business intelligence. In this introductory course, we assume no prior knowledge and guide you through getting set up and started.

With practice exercises and mini-projects to complete as you go through the course, you'll quickly get to grips with this powerful programming language.

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Important Details

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  • Redemption deadline: redeem your code within 30 days of purchase
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  • What's New

    About the Developer


Access
Lifetime
Content
2.0 hours
Lessons
13

Pandas for Python

Manipulate, Aggregate, Pivot & Work with Large Quantities of Data

By StreamSkill | in Online Courses

Pandas is one of the most popular Python libraries, used for data analysis and manipulation. It is commonly used in data science, machine learning, and artificial intelligence. If you are going to work in any of these areas, you will want to be familiar with Pandas. It's easy to use, open-source, and will allow you to work with large quantities of data. It enables fast and efficient data manipulation, aggregation, and pivoting, flexible time series functionality, and more.

This course will introduce the learner to the basics of data analysis with the Pandas library. First, you'll learn to work with two primary data structures in Pandas, Series and DataFrame. Then you will see how to read data from a file and explore input data using indexing and filtering. At this point, you are ready to start data preprocessing. You will see how to handle missing values and duplicate rows and to transform your data into a more efficient format. Next, you'll discover how to manipulate the data and do some processing. Finally, you'll delve into creating simple plots to visualize your data.

This course assumes no previous Pandas experience, but since Pandas is a package built for Python, you need to have a fundamental understanding of basic Python syntax.

  • Access 13 lectures & 2 hours of content 24/7
  • Use the two primary Pandas data structures, Series & DataFrame
  • View data imported from an external source
  • Organize input data using indexing & filtering
  • Use Pandas for data preprocessing
  • Address missing values & duplicate rows
  • Format your data most efficiently
  • Process different data types
  • Learn data manipulation using string functions
  • Learn date & time formatting
NOTE: Software NOT included.
StreamSkill.com
4.48/5 average rating: ★ ★ ★ ★

StreamSkill.com is part of the Simon Sez IT family. We've been in business for over 14 years, training over 1 million students in 180+ countries.

The "IT" in Simon Sez IT stands for "Information Technology." We make business and technical software simple to learn. We offer instruction to help learners win regarding computer and software technology.

Our approach to teaching comes from our passion for fully explaining how something works. We don't skirt around the edges. We think that if you're going to teach something, teach it right. We take the time to explain the ins and outs, back it up with practice exercises and tests, and always teach in a visually easy-to-follow way via video.

We hire only the best authors to teach, and our style is to take the time to explain things in the detail they deserve. That means our courses are perfect if you're new to a specific technology or just technology shy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Access to Pandas and/or Python is useful but not necessary. A fundamental understanding of basic Python syntax is expected.

Access
Lifetime
Content
6.0 hours
Lessons
35

Introduction to Qlik Sense

Be Familiar with Qlik Sense, Navigate It & Become a Well-Versed Designer

By StreamSkill | in Online Courses

Qlik Sense is an amazing data visualization tool. In this comprehensive beginners course, we teach you how to become a Qlik Sense designer from scratch.

You’ll start by learning how to load data into Qlik Sense, how to create stunning Qlik Sense apps, how to create and edit your first visualization, how to use the various charts, graphs, and tools available in Qlik Sense. After that, we move on to using scripting in Qlik Sense, numeric functions, string functions, date and time, and Geo Analytics. This comprehensive Qlik Sense course talks you through this analytics and Business Intelligence platform and will set you on your way to becoming a Qlik Sense designer.

4.23/5 average rating: ★ ★ ★ ★

  • Access 35 lectures & 6 hours of content 24/7
  • Learn all about Qlik Sense
  • Understand the difference between Qlik Sense & Qlik View
  • Load data
  • Create & upload apps
  • Learn all about the different charts & graphs available in Qlik Sense
  • Learn all about tables & pivot tables in Qlik Sense
  • Create your analysis in the Story Telling tab
  • Explore numeric & string functions
  • Use the date and time formatting functions
  • Use conditional functions
  • Combine tables using JOIN, KEEP & CONCATENATE
  • Use different charts and tables
  • Use Qlik's Geo Analytics tools (maps)
NOTE: Software NOT included.
StreamSkill.com
4.48/5 average rating: ★ ★ ★ ★

StreamSkill.com is part of the Simon Sez IT family. We've been in business for over 14 years, training over 1 million students in 180+ countries.

The "IT" in Simon Sez IT stands for "Information Technology." We make business and technical software simple to learn. We offer instruction to help learners win regarding computer and software technology.

Our approach to teaching comes from our passion for fully explaining how something works. We don't skirt around the edges. We think that if you're going to teach something, teach it right. We take the time to explain the ins and outs, back it up with practice exercises and tests, and always teach in a visually easy-to-follow way via video.

We hire only the best authors to teach, and our style is to take the time to explain things in the detail they deserve. That means our courses are perfect if you're new to a specific technology or just technology shy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Access to Qlik Sense Enterprise is useful but not necessary


Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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