Udemy The Complete Data Visualization Toolkit Bundle

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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 Advancedarameters 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!


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