Name: Data Analytics with Tableau
Price: 25 GBP
Availability: InStock

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This is an Intermediate and beyond-level Tableau course geared for experienced Tableau users who wish to leverage Tableau's more advanced capabilities.</p>Overview<p>This skills-focused course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.<br />Working in a hands-on learning environment led by our expert facilitator, students will learn how to:<br />Understand what data works best with Tableau Desktop and how to shape and clean it appropriately to get<br />Learn how to maximize flexibility from Tableau Desktop.<br />Learn how Tableau Prep folds into the analytic cycle, and when to prep data in Tableau Prep vs. Tableau Desktop.<br />Understand the terminology used in Tableau Prep.<br />Know how Tableau Prep approaches data sampling.<br />Create and understand data prep flows that address common scenarios encountered in data preparation, as applied to common data use cases<br />Know how to view data prepared in Tableau Prep using Tableau Desktop.<br />Understand data exploration and validation in Tableau Prep and Tableau Desktop.</p><p>Geared for experienced Tableau Users, Tableau Prep Building (Tableau Data Prep) for Experienced Users is a two-day hands-on course designed to provide you with the tools and knowledge of how to prepare and shape data in Tableau Prep. It?s best suited for people who have 3-6 months experience in Tableau Desktop and are somewhat familiar with writing calculations. Throughout the course, our instructors will take you from conceptual data preparation material to creating useful Tableau Prep flows that can be output to Tableau Desktop for analysisNOTE: The Tableau Training Series is independent-format training that can be tuned and adjusted to best meet your needs. Our materials are flexible, comprehensive, and are always instructed by a senior instructor with a deep understanding of Tableau and its most current features, benefits and functionality in a wide array of uses. This is not Official Tableau Training.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Introduction to the workspace</li><li>Introduction to the workflow</li><li>Data literacy concepts</li><li>Connecting to and configuring data</li><li>Exploring data</li><li>Cleaning data</li><li>Preferred data structures in Tableau</li><li>Shaping data</li><li>Combining data</li><li>Opening a data sample and creating an output file</li><li>Best practices for data preparation</li><li>Complex flows</li><li>Starting with a question</li><li>Hands-on data preparation</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Tableau Desktop Specialist

Tableau

Teacher Training

Trainers Course

Train the Trainer (TTT)

Teaching & Training

Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is relevant to anyone who needs to work with and understand data including:<br />Business Analysts, Data Analysts, Reporting and BI professionals<br />Marketing and Digital Marketing professionals<br />Digital, Web, e-Commerce, Social media and Mobile channel professionals<br />Business managers who need to interpret analytical output to inform managerial decisions</p>Overview<p>This course will cover the basic theory of data visualization along with practical skills for creating compelling visualizations, reports and dashboards from data using Tableau.<br />Outcome: After attending this course delegates will understand - <br />How to move from business questions to great data visualizations and beyond<br />How to apply the fundamentals of data visualization to create informative charts<br />How to choose the right visualization type for the job at hand<br />How to design and develop basic dashboards in Tableau that people will love to use by doing the following:<br />Reading data sources into Tableau<br />Setting up the roles and data types for your analysis<br />Creating new data fields using a range of calculation types<br />Creating the following types of charts - cross tabs, pie and bar charts, geographic maps, dual axis and combo charts, heat maps, highlight tables, tree maps and scatter plots<br />Creating Dashboards that delight using the all of the features available in Tableau.</p><p>The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to tourism.</p></div><div id="course-pills-2"><h4>From Business Questions to Data Visualisation and Beyond</h4><ul><li>The first step in any data analysis project is to move from a business question to data analysis and then on to a complete solution. This section will examine this conversion emphasizing:</li><li>The use of data visualization to address a business need </li><li>The data analytics process ? from business questions to developed dashboards</li></ul><h4>Introduction to Tableau ? Part 1</h4><ul><li>In this section, the main functionality of Tableau will be explained including:</li><li>Selecting and loading your data </li><li>Defining data item properties</li><li>Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations</li><li>Creating basic visualizations</li><li>Creating a basic dashboard</li></ul><h4>Introduction to Tableau ? Part 2</h4><ul><li>In this section, the main functionality of Tableau will be explained including:</li><li>Selecting and loading your data </li><li>Defining data item properties</li><li>Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations</li><li>Creating basic visualizations</li><li>Creating a basic dashboard</li><li></li></ul><h4>Key Components of Good Data Visualisation and The Visualisation Zoo</h4><ul><li>In this section the following topics will be covered: </li><li>Colour theory </li><li>Graphical perception &amp; communication </li><li>Choosing the right chart for the right job</li></ul><h4>Data Exploration with Tableau</h4><ul><li>Exploring data to answer business questions is one of the key uses of applying good data visualization techniques within Tableau. In this section we will apply the data visualization theory from the previous section within Tableau to uncover trends within the data to answer specific business questions. The types of charts that will be covered are:</li><li>Cross Tabs</li><li>Pie and bar charts</li><li>Geographic maps</li><li>Dual axis and combo charts with different mark types</li><li>Heat maps</li><li>Highlight tables</li><li>Tree maps</li><li>Scatter plots</li></ul><h4>Introduction to Building Dashboards with Tableau</h4><ul><li>In this section, we will implement the full process from business question to final basic dashboard in Tableau:</li><li>Introduction to good dashboard design</li><li>Building dashboards in Tableau</li></ul></div>

Excel Analytics

Data Visualization

Data Skills

Data Studio

Effective Data Visualization with Tableau

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This is an introductory-level course for Users new to Tableau who will be administering a Tableau Server installation, including managing content, users, and permissions.</p>Overview<p>This skills-focused course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom.<br />Working in a hands-on learning environment led by our expert facilitator, students will learn how to:<br />User interactions with Tableau Server<br />Tableau Server components<br />Single-server installation<br />Content administration<br />Authorization and permissions<br />Users, groups, and sites<br />Data sources and extracts<br />Schedules, tasks, and subscriptions<br />Monitoring server status<br />Command-line utilities and REST API<br />Upgrading a single-server installation to a new version<br />Modifying the authentication method</p><p>This fast paced hands-on course provides in-depth coverage of Tableau Server administration. The knowledge and skills acquired are best geared toward those who will be administering a Tableau Server installation, including managing content, users, and permissions.</p></div><div id="course-pills-2"><h4>Tableau Server Overview</h4><ul><li>Tableau Product Line</li><li>End-User Abilities</li></ul><h4>Tableau Server Architecture</h4><ul><li>Component Functions</li><li>Server Diagrams</li></ul><h4>Single Server Installation</h4><ul><li>Technical Specifications</li><li>Tableau Server Installation Checklist</li><li>Configuration Options</li><li>Resolutions for Common Installation Issues</li><li>Installing Tableau Server Software</li></ul><h4>User Experience</h4><ul><li>Content Navigation, Searching, and Filtering</li><li>Exploring Server Content Types and Objects</li><li>Updating Account Settings</li><li>Setting the Start Page</li><li>Viewing Version Information</li><li>Renaming a Project</li><li>Adding a Workbook Description</li></ul><h4>Authorization and Permissions</h4><ul><li>Administrator Settings</li><li>Authorization Overview</li><li>Functional Security Model</li><li>Site Roles</li><li>Content Ownership and Permissions</li><li>Permission Rules and Capabilities</li><li>Permissions and the Default Project</li><li>Creating Projects, Local Groups, and a Local User</li><li>Importing Users and Adding Users to Groups</li><li>Granting Permissions to Projects</li><li>Creating a Project Leader</li><li>Publishing and Changing Ownership of a Workbook</li><li>Moving a Workbook</li><li>Site Administration</li></ul><h4>Data Sources, Extracts, Schedules, and Subscriptions</h4><ul><li>Creating, Publishing, and Connecting to a Data Source</li><li>Data Engine and File Store</li><li>Creating and Publishing Extracts</li><li>Backgrounder</li><li>Schedules</li><li>Subscriptions</li><li>Enabling Subscriptions and Alerts</li></ul><h4>Automating Server Tasks</h4><ul><li>Automating and Programming Server Tasks</li><li>Tabadmin</li><li>Tabcmd</li><li>Using the REST API</li></ul><h4>Monitoring Server</h4><ul><li>Viewing Server Status</li><li>Admin Alerts</li><li>Viewing Email Alerts and Admin Views</li><li>Enabling Access to the Repository</li><li>Custom Admin Views</li><li>Licensing Information</li><li>Performance Recording</li></ul><h4>Upgrading Tableau Server</h4><ul><li>Preparing to Upgrade</li><li>Upgrading Software on the Same Machine</li><li>Modifying the Authentication Method</li><li>Importing AD Groups</li></ul><h4>Log Files Administration</h4><ul><li>Overview of Log Files</li><li>Archiving Log Files</li></ul><h4>Data Security</h4><ul><li>Controlling What Users Can See</li><li>User Filters</li></ul></div>

Waiter Training

Database Administration

Tableau Server Administration (TTDTAB005)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is intended for those who need to use Tableau Desktop to build complex visuals and dashboards to present information or to monitor data about their organization.</p>Overview<p>Upon completion of this course, participants will be able to:Select the best method to work with multiple data sourcesCreate complex visuals using calculations and parametersApply best practices to improve the layout and aesthetics of dashboards</p><p>This course enables participants to create complex visualizations and to combine them into interactive dashboards to share with others using Tableau Desktop.</p></div><div id="course-pills-2"><h4>The Data</h4><ul><li>Data Interpreter</li><li>Data Joins</li><li>Same Database </li><li>Cross Databases</li><li>Spatial Join New!</li><li>Data Blending</li><li>New Union</li><li>Custom SQL</li><li>Tableau Extract</li><li>TDE</li><li>Hyper</li><li>Clipboard</li><li>Database Changes Automatic Updates </li></ul><h4>Calculations</h4><ul><li>Regular Calculations</li><li>Quick Table Calculations</li><li>Table Calculations</li><li>Level of Detail (LOD) Expressions </li></ul><h4>Complex Visualizations</h4><ul><li>Custom Background Map</li><li>Web Map Servers</li><li>Dual Maps</li><li>Bar in Bar Graph</li><li>Bullet Graph</li><li>Pareto Chart</li><li>Sparkline Report</li><li>Top N Within a Category Report</li><li>Waterfall Chart</li><li>Funnel Chart</li><li>Pattern Analysis using the Path Shelf</li></ul><h4>Building Better Dashboards</h4><ul><li>Best Practices for Design</li><li>Best Practices for Performance</li><li>Creating a Template Workbook</li><li>Using Layout Containers</li><li>Dashboard Extenders New!</li><li></li></ul><h4>Generating A Performance Summary</h4></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Tableau Advanced v10.3 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Tableau Advanced v10.3 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Tableau Advanced v10.3

Janets

Data Engineering

Data Science

Data Analyst

Data Analytics with Tableau

General Admission

<h2><strong>Course Overview:</strong></h2>
<span>According to a report by the World Economic Forum, data analysts and scientists are among the top emerging job roles. The "Data Analytics with Tableau" course is tailored to equip learners with the vital skills required to excel in this dynamic field. </span>

<span>The course delves into the intricacies of data visualisation and analysis using Tableau, a leading software in the industry. It's not merely about understanding data but transforming it into actionable insights that drive business decisions. The course is structured to provide a comprehensive understanding of various aspects of data analytics, including sales, HR, and shipping analytics.</span>

<span>Don't miss this opportunity to advance your career with cutting-edge skills in data analytics. Enrol in "Data Analytics with Tableau" now and embark on a journey of professional growth and endless possibilities!</span>

<hr />

<h2><strong>Key Features of the Course:</strong></h2>
<strong>CPD Certificate:</strong> Upon completion, you will receive a prestigious Continuing Professional Development (CPD) certificate, recognised globally for enhancing your career prospects.

<strong>24/7 Learning Assistance:</strong> Our dedicated support team ensures you receive prompt assistance, providing a seamless learning experience.

<hr />

<h2><strong>Who is This Course For?</strong></h2>
This course is <strong>tailored for individuals who aspire to become data analysts, business intelligence professionals, marketing strategists, or decision-makers seeking to leverage data effectively.</strong> No experience with Tableau or coding is required, making it accessible and engaging for beginners.

<hr />

<h2><strong>What You Will Learn:</strong></h2>
Data Analytics with Tableau, This course covers a wide range of topics, starting with <strong>connecting and preparing data, where you will learn how to import, clean, and transform data to make it analysis-ready within Tableau. Next, you will master the art of building insightful charts and visualisations using Tableau's rich set of tools, enabling you to communicate data trends and insights effectively. </strong>

Additionally, you will explore the <strong>creation of captivating headline cards and interactive dashboards, gaining expertise in presenting key information and facilitating data exploration. Real-world projects,</strong> including Discount Mart, Green Destinations, Super Store, Northwind Trade, and Tesla, will provide you with outstanding experience in applying Tableau to solve practical data challenges. Lastly, you will <strong>develop a solid understanding of database concepts and learn to create compelling data stories</strong> using Tableau's storytelling features. By the end of this course, you will have the skills and confidence to make data-driven decisions and communicate insights effectively using Tableau.

<hr />

<h2><strong>Why Enrol in This Course:</strong></h2>
Join the <strong>recently updated top-reviewed</strong> Data Analytics course with Tableau to keep you at the forefront of the field. <strong>Expand your analytical skills, unlock career opportunities, and stay current in the rapidly evolving world</strong> of data analytics by mastering Tableau, the industry-standard tool for visual analytics.

<hr />

<h2><strong>Requirements:</strong></h2>
No prior experience with Tableau or coding is required. All you need is a computer with internet access, a curious mind, and a passion for exploring the world of data analytics.

<hr />

<h2><strong>Career Path:</strong></h2>
By acquiring data analytics skills with Tableau, you open doors to exciting career paths, such as:
<ul>
 	<li>Data Analyst (Average Salary: £35,000 - £45,000)</li>
 	<li>Business Intelligence Analyst (Average Salary: £40,000 - £55,000)</li>
 	<li>Marketing Analyst (Average Salary: £30,000 - £40,000)</li>
 	<li>Financial Analyst (Average Salary: £35,000 - £50,000)</li>
 	<li>Data Visualization Specialist (Average Salary: £40,000 - £60,000)</li>
 	<li>Database Administrator (Average Salary: £40,000 - £55,000)</li>
 	<li>Data Scientist (Average Salary: £45,000 - £70,000)</li>
</ul>

<hr />

<h2><strong>Certification:</strong></h2>
Upon successful completion of the course, you <strong>will receive a CPD certificate,</strong> internationally recognised for its validation of your expertise in data analytics with Tableau.

Enrol now and embark on a transformative journey to become a proficient data analyst and visualisation expert with Tableau!

<hr /> <h3>Course Curriculum</h3><div><p>9 sections • 41 lectures • 06:47:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction to the Course: 00:02:00</p></div><div><div><p>•What is Tableau? An Introduction to Tableau: 00:03:00</p></div><div><div><p>•How this course is Structured: 00:01:00</p></div><div><div><p>•Installing the Free Full Version of Tableau: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Discount Mart: 00:03:00</p></div><div><div><p>•Connecting and Preparing Data for Discount Mart: 00:15:00</p></div><div><div><p>•Building Charts on Tableau for Discount Mart (Part 1): 00:33:00</p></div><div><div><p>•Building Charts on Tableau for Discount Mart (Part 2): 00:16:00</p></div><div><div><p>•Creating Headline Cards on Tableau for Discount Mart: 00:10:00</p></div><div><div><p>•Building and Publishing Dashboards on Tableau: 00:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Green Destinations: 00:02:00</p></div><div><div><p>•Connecting and Preparing Data for Green Destinations: 00:09:00</p></div><div><div><p>•Building Charts on Tableau (Part 1) for Green Destinations: 00:28:00</p></div><div><div><p>•Building Charts on Tableau (Part 2) for Green Destinations: 00:08:00</p></div><div><div><p>•Creating Headline Cards on Tableau: 00:15:00</p></div><div><div><p>•Building a Dashboard for Green Destinations: 00:12:00</p></div><div><div><p>•Publish your Dashboard to Tableau Public: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Super Store: 00:02:00</p></div><div><div><p>•Connecting and Preparing Data for Super Store: 00:17:00</p></div><div><div><p>•Building Charts on Tableau (Part 1) for Super Store: 00:34:00</p></div><div><div><p>•Building Charts on Tableau (Part 2) for Super Store: 00:23:00</p></div><div><div><p>•Building a Dashboard: 00:18:00</p></div><div><div><p>•Publish your Dashboard to Tableau Public: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Northwind Trade: 00:03:00</p></div><div><div><p>•Connecting and Preparing Data for Northwind Trade: 00:14:00</p></div><div><div><p>•Building Charts on Tableau for Northwind Trade: 00:37:00</p></div><div><div><p>•Building and Publishing Dashboards for Northwind Trade: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Tesla: 00:02:00</p></div><div><div><p>•Creating a Data Source through Google Sheet Functions: 00:05:00</p></div><div><div><p>•Connect to the Data for Tesla: 00:04:00</p></div><div><div><p>•Building Charts on Tableau for Tesla: 00:22:00</p></div><div><div><p>•Building Headline Cards: 00:09:00</p></div><div><div><p>•Building a Tesla Dashboard: 00:08:00</p></div><div><div><p>•Publish your Dashboard to Tableau Public: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Database Concepts: 00:01:00</p></div><div><div><p>•Understanding Relational Databases: 00:04:00</p></div><div><div><p>•Relationships of Database Entities: 00:02:00</p></div><div><div><p>•Primary and Foreign Keys: 00:01:00</p></div><div><div><p>•Data types and Naming Conventions: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Creating Stories on Tableau: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources - Data Analytics with Tableau: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Business Analytics & Intelligence

Big Data Analytics

Birmingham

Erdington

Queensway

Tableau Training Uk

Tableau Desktop Training - Analyst

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This Tableau Desktop Training course is a jumpstart to getting report writers and analysts with little or no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in two days of your time.</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For Private options, online or in-person, please send us details of your requirements:</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This Tableau Desktop Training course is a jumpstart to getting report writers and analysts with little or no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in two days of your time. Having a quick turnaround from starting to use Tableau, to getting real, actionable insights means that you get a swift return on your investment of time and money.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This accelerated approach is key to getting engagement from within your organisation so everyone can immediately see and feel the impact of the data and insights you create. This course is aimed at someone who has not used Tableau in earnest and may be in a functional role, eg. in sales, marketing, finance, operations, business intelligence etc.</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><section data-particle_enable="false" data-particle-mobile-disabled="false" data-id="28546e3a" data-element_type="section" style="color: rgb(98, 98, 98); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(98, 98, 98);"><div data-id="530ff072" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><section data-particle_enable="false" data-particle-mobile-disabled="false" data-id="7ae5fe7" data-element_type="section" data-settings='{"background_background":"classic"}' fr-original-style="" style="box-sizing: border-box;"><div data-id="461193e7" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="8fd671b" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><h2 style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);">The course is split into 3 phases and 9 modules:</h2></div><div data-id="58a6c8fc" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><h2 style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);">PHASE 1: GET READY</h2></div><div data-id="5f8c8664" data-element_type="widget" data-widget_type="accordion.default" fr-original-style="" style="box-sizing: border-box;"><h5 data-tab="1" tabindex="0" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 1: LAUNCH TABLEAU</h5><div data-tab="1" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Check Install &amp; Setup</li><li fr-original-style="" style="box-sizing: border-box;">Why is Visual Analytics Important</li></ul></div><h5 data-tab="2" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 2: GET FAMILIAR</h5><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">What is possible</li><li fr-original-style="" style="box-sizing: border-box;">How does Tableau deal with data</li><li fr-original-style="" style="box-sizing: border-box;">Know your way around</li><li fr-original-style="" style="box-sizing: border-box;">How do we format charts</li><li fr-original-style="" style="box-sizing: border-box;">Dashboard Basics &ndash; My First Dashboard</li></ul><h5 data-tab="3" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 3: DATA DISCOVERY</h5><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Connecting to and setting up data in Tableau</li><li fr-original-style="" style="box-sizing: border-box;">How Do I Explore my Data &ndash; Filters &amp; Sorting</li><li fr-original-style="" style="box-sizing: border-box;">How Do I Structure my Data &ndash; Groups &amp; Hierarchies, Visual Groups</li><li fr-original-style="" style="box-sizing: border-box;">How Tableau Deals with Dates &ndash; Using Discrete and Continuous Dates, Custom Dates</li></ul></div></div></section><section data-particle_enable="false" data-particle-mobile-disabled="false" data-id="2696f5d3" data-element_type="section" data-settings='{"background_background":"classic"}' fr-original-style="" style="box-sizing: border-box;"><div data-id="ec4f006" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="4520c476" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><h2 style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);"><br fr-original-style="" style="box-sizing: border-box;"></h2><h2 style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);">Phase 2: GET SET</h2></div><div data-id="16ebe443" data-element_type="widget" data-widget_type="accordion.default" fr-original-style="" style="box-sizing: border-box;"><h5 data-tab="1" tabindex="0" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 4: MAKE CALCULATIONS</h5><div data-tab="1" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">How Do I Create Calculated Fields &amp; Why</li></ul></div><h5 data-tab="2" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 5: MAKE CHARTS</h5><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Charts that Compare Multiple Measures &ndash; Measure Names and Measure Values, Shared Axis Charts, Dual Axis Charts, Scatter Plots</li><li fr-original-style="" style="box-sizing: border-box;">Showing Relational &amp; Proportional Data &ndash; Pie Charts, Donut Charts, Tree Maps</li></ul><h5 data-tab="3" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 6: MAKE TABLES</h5><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Creating Tables &ndash; Creating Tables, Highlight Tables, Heat Maps</li></ul></div></div></section><section data-particle_enable="false" data-particle-mobile-disabled="false" data-id="5e5df3ea" data-element_type="section" data-settings='{"background_background":"classic"}' fr-original-style="" style="box-sizing: border-box;"><div data-id="491b064f" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="357bfc09" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><h2 style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);">Phase 3: GO</h2></div><div data-id="4dd84eb2" data-element_type="widget" data-widget_type="accordion.default" fr-original-style="" style="box-sizing: border-box;"><h5 data-tab="1" tabindex="0" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 7: ADD CONTEXT</h5><div data-tab="1" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Reference Lines and Bands</p></li></ul></div><h5 data-tab="2" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 8: MAKE MAPS</h5><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;">Answering Spatial Questions &ndash; Mapping, Creating a Choropleth (Filled) Map</div></li></ul><h5 data-tab="3" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">MODULE 9: MAKE DASHBOARDS</h5><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Using the Dashboard Interface</li><li fr-original-style="" style="box-sizing: border-box;">Dashboard Actions</li></ul></div></div></section></div></section><section data-particle_enable="false" data-particle-mobile-disabled="false" data-id="5b9fdc59" data-element_type="section" data-settings='{"background_background":"classic"}' style="color: rgb(98, 98, 98); box-sizing: border-box;" fr-original-style=" color: rgb(98, 98, 98);"><div data-id="649bcdb4" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="315826bb" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(255, 255, 255); box-sizing: border-box;" fr-original-style=" color: rgb(255, 255, 255);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This training course includes over&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">25</strong>&nbsp;hands-on exercises and quizzes to help participants&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&ldquo;learn by doing&rdquo;</strong>&nbsp;and to assist group discussions around real-life use cases. Each attendee receives a login to our extensive training portal which covers the theory, practical applications and use cases, exercises, solutions and quizzes in both written and video format.</p></div><div data-id="6243dea8" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(255, 255, 255); box-sizing: border-box;" fr-original-style=" color: rgb(255, 255, 255);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Students must use their own laptop with an active version of Tableau Desktop 2018.2 (or later) pre-installed.</p></div></div></section><section data-particle_enable="false" data-particle-mobile-disabled="false" data-id="649f95d" data-element_type="section" data-settings='{"background_background":"classic"}' fr-original-style="" style="box-sizing: border-box;"><div data-id="1c207d92" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="1bce9646" data-element_type="widget" data-widget_type="heading.default" style="color: rgb(98, 98, 98); box-sizing: border-box;" fr-original-style="color: rgb(98, 98, 98);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 style="color: rgb(17, 41, 74); box-sizing: border-box;" fr-original-style=" color: rgb(17, 41, 74);">What People Are Saying About This Course</h2></div><div data-id="780525c2" data-element_type="widget" data-settings='{"slides_per_view":"2","slides_to_scroll":"1","space_between":{"unit":"px","size":0,"sizes":[]},"slides_per_view_tablet":"2","speed":500,"space_between_tablet":{"unit":"px","size":10,"sizes":[]},"space_between_mobile":{"unit":"px","size":10,"sizes":[]}}' data-widget_type="testimonial-carousel.default" style="color: rgb(98, 98, 98); box-sizing: border-box;" fr-original-style="color: rgb(98, 98, 98);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><img src="https://cdn.vizdj.com/wp-content/uploads/2021/11/quote-icon.png" alt="Richard L., Intelliflo" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">&ldquo;Excellent Trainer &ndash; knows his stuff, has done it all in the real world, not just the class room.&rdquo;</div><cite fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);">Richard L., Intelliflo</span></cite></div><div data-id="780525c2" data-element_type="widget" data-settings='{"slides_per_view":"2","slides_to_scroll":"1","space_between":{"unit":"px","size":0,"sizes":[]},"slides_per_view_tablet":"2","speed":500,"space_between_tablet":{"unit":"px","size":10,"sizes":[]},"space_between_mobile":{"unit":"px","size":10,"sizes":[]}}' data-widget_type="testimonial-carousel.default" fr-original-style="" style="box-sizing: border-box;"><font color="#07294d" fr-original-style="" style="box-sizing: border-box;"><i fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></i></font><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><img src="https://cdn.vizdj.com/wp-content/uploads/2021/11/quote-icon.png" alt="Chelsey H., QVC" style="color: rgb(98, 98, 98); cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(98, 98, 98);" fr-original-class="fr-draggable"></div><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">&ldquo;Tableau is a complicated and powerful tool. After taking this course, I am confident in what I can do, and how it can help improve my work.&rdquo;</div><cite style="color: rgb(98, 98, 98); box-sizing: border-box;" fr-original-style="color: rgb(98, 98, 98);"><span style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);">Trevor B., Morrison Utility Services</span></cite></div><div data-id="780525c2" data-element_type="widget" data-settings='{"slides_per_view":"2","slides_to_scroll":"1","space_between":{"unit":"px","size":0,"sizes":[]},"slides_per_view_tablet":"2","speed":500,"space_between_tablet":{"unit":"px","size":10,"sizes":[]},"space_between_mobile":{"unit":"px","size":10,"sizes":[]}}' data-widget_type="testimonial-carousel.default" fr-original-style="" style="box-sizing: border-box;"><font color="#626262" fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></font></div><div data-id="780525c2" data-element_type="widget" data-settings='{"slides_per_view":"2","slides_to_scroll":"1","space_between":{"unit":"px","size":0,"sizes":[]},"slides_per_view_tablet":"2","speed":500,"space_between_tablet":{"unit":"px","size":10,"sizes":[]},"space_between_mobile":{"unit":"px","size":10,"sizes":[]}}' data-widget_type="testimonial-carousel.default" fr-original-style="" style="box-sizing: border-box;"><font color="#626262" fr-original-style="" style="box-sizing: border-box;"><img src="https://cdn.vizdj.com/wp-content/uploads/2021/11/quote-icon.png" alt="Trevor B., Morrison Utility Services" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></font></div><div data-id="2de0482d" data-element_type="widget" data-settings='{"slides_per_view":"2","space_between":{"unit":"px","size":0,"sizes":[]},"slides_per_view_tablet":"2","speed":500,"space_between_tablet":{"unit":"px","size":10,"sizes":[]},"space_between_mobile":{"unit":"px","size":10,"sizes":[]}}' data-widget_type="testimonial-carousel.default" style="color: rgb(98, 98, 98); box-sizing: border-box;" fr-original-style="color: rgb(98, 98, 98);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">&ldquo;I would highly recommend this course for Tableau beginners, really easy to follow and keep up with as you are hands on during the course. Trainer really helpful too.&rdquo;</div><cite fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);">Chelsey H., QVC</span></cite></div><div data-id="2de0482d" data-element_type="widget" data-settings='{"slides_per_view":"2","space_between":{"unit":"px","size":0,"sizes":[]},"slides_per_view_tablet":"2","speed":500,"space_between_tablet":{"unit":"px","size":10,"sizes":[]},"space_between_mobile":{"unit":"px","size":10,"sizes":[]}}' data-widget_type="testimonial-carousel.default" style="color: rgb(98, 98, 98); box-sizing: border-box;" fr-original-style="color: rgb(98, 98, 98);"><br fr-original-style="" style="box-sizing: border-box;"></div><div data-id="2de0482d" data-element_type="widget" data-settings='{"slides_per_view":"2","space_between":{"unit":"px","size":0,"sizes":[]},"slides_per_view_tablet":"2","speed":500,"space_between_tablet":{"unit":"px","size":10,"sizes":[]},"space_between_mobile":{"unit":"px","size":10,"sizes":[]}}' data-widget_type="testimonial-carousel.default" style="color: rgb(98, 98, 98); box-sizing: border-box;" fr-original-style="color: rgb(98, 98, 98);"><img src="https://cdn.vizdj.com/wp-content/uploads/2021/11/quote-icon.png" alt="Chelsey H., QVC" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">&ldquo;He is a natural trainer, patient and very good at explaining in simple terms. He has an excellent knowledge base of the system and an obvious enthusiasm for Tableau, data analysis and the best way to convey results. We had been having difficulties in the business in building financial reports from a data cube and he had solutions for these which have proved to be very useful.&rdquo;</div><cite fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(7, 41, 77); box-sizing: border-box;" fr-original-style=" color: rgb(7, 41, 77);">Matthew H., ISS Group</span></cite></div></div></section>

Tableau Desktop Training - Foundation

<p><strong>Level 6 Diploma in Data Analytics with Tableau</strong></p><p>Turn your skills into a competitive advantage recognised globally and endorsed for quality by QLS, the UK's most reputable high-quality course auditor.</p><p>This premium QLS-endorsed Diploma in Data Analytics with Tableau course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunities and a globally recognised certification. Thus, completing our Diploma in Data Analytics with Tableau course will give you limitless possibilities anywhere and everywhere since the value of QLS-endorsed methods is relatively high!!</p><p>What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest materials from this exquisite Diploma in Data Analytics with Tableau course, enabling you to open up a vast world of opportunities to grasp and gain success. For the price point, this course is an absolute steal! It's an investment you do not want to miss out on!</p><p>So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as unquestionably the most skilled in your workplace!</p><p><strong>Learning Outcomes for the Course Curriculum of Diploma in Data Analytics with Tableau:</strong></p><ol><li>Understand the core concepts and principles of data analytics and its application.</li><li>Analyse sales and profit data using Tableau to gain insights into business performance.</li><li>Apply HR analytics techniques to analyse employee data and optimise HR processes.</li><li>Develop skills to track sales agents' performance using Tableau for data visualisation.</li><li>Analyse shipping data using Tableau to identify patterns and improve logistics efficiency.</li></ol><p><strong>Why Learn with us: </strong></p><p>As one of the leading e-learning service providers globally, we strive to provide all our learners with the best e-learning experience possible that can make a real difference in their career progression.</p><p><strong>Our Service for the </strong><strong>Diploma in Data Analytics with Tableau</strong><strong> Includes:</strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>Course Curriculum of </strong><strong>Diploma in Data Analytics with Tableau</strong></p><ul><li><strong>Module 01:</strong> Introduction to the Course</li><li><strong>Module 02:</strong> Project 1: Discount Mart (Sales and Profit Analytics)</li><li><strong>Module 03:</strong> Project 2: Green Destinations (HR Analytics)</li><li><strong>Module 04:</strong> Project 3: Superstore (Sales Agent Tracker)</li><li><strong>Module 05:</strong> North wind Trade (Shipping Analytics)</li><li><strong>Module 06:</strong> Project 5: Tesla (Stock Price Analytics)</li><li><strong>Module 07:</strong> Bonus: Introduction to Database Concepts</li><li><strong>Module 08:</strong> Tableau Stories</li></ul><p><strong>Assessment &amp; Certification</strong></p><p>Learners must submit a comprehensive summarised assignment on all the units that our expert tutor will assess if all the learning outcomes are met as per the standard set by QLS. After the quality check, the learner will receive the Diploma in Data Analytics with a Tableau certificate.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme.</strong></p><p>An endorsed certificate will be issued to learners at the course's end to recognise course completion. Provided that the learner completes all the assessments of a system, he can claim a certificate.</p><p><strong>Endorsement:</strong></p><p>QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions, including your progression routes into further higher education.</p><h2>
        
        <div>CPD</div>
    </h2>

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                                        10 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Our course is open to everyone. This <strong>Diploma in Data Analytics with Tableau </strong>is ideal for those who aspire to gain in-depth knowledge &amp; efficient skills to embark into the relevant sector as a promising potential.</p>
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        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal requirements needed for this <strong>Diploma in Data Analytics with Tableau</strong> course. So learners do not require any prior qualifications to enrol in this course.</p>
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        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The following careers are related to <strong>Diploma in Data Analytics with Tableau </strong>course:</p><ol><li>Data Analyst - Average Salary: £35,000 per year</li><li>Business Intelligence Analyst - Average Salary: £40,000 per year</li><li>Data Visualisation Specialist - Average Salary: £45,000 per year</li><li>Data Scientist - Average Salary: £50,000 per year</li><li>Analytics Manager - Average Salary: £55,000 per year</li></ol>
                        </div>

Kingston Open College

Learning & Development

Diploma in Education & Training (DET)

Diploma for School Business Leaders (DSBM)

Diploma in Management Studies (DMS)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Level 6 Diploma in Data Analytics with Tableau - QLS Endorsed

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					<div><p>Start your journey to becoming an expert in data analytics with our engaging online course, Data Analytics with Tableau. Created for all levels, this course has been carefully put together to provide an in-depth understanding of data analysis using Tableau, a leading data visualization tool.</p><p>The course begins with an overview of Tableau and its important features. You'll learn why Tableau is a must-know tool for data analysts and how it helps make sense of large data sets. Then, we'll get our hands dirty with real-world projects. These projects are designed to mimic real business scenarios, like analyzing sales and profits, assessing HR performance, and studying stock price movements. As you work through these projects, you'll learn how to apply Tableau's capabilities to different business problems.</p><p>Beyond working with data, you'll also gain valuable insights into storytelling with data. This is an important skill in data analytics because it allows you to communicate your findings in an easily understandable way. By the end of the course, you'll be able to create visually appealing and informative data visualizations that can help drive decision-making.</p><p>The course also includes a bonus module on database concepts to equip you with a rounded understanding of data management. This knowledge, coupled with your new Tableau skills, will set you on the right path in your data analytics career. On completion, you'll earn a certificate that signifies your expertise in using Tableau for data analytics.</p></div>
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										<span>Work confidently with different types of data.</span>
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				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Enhance your career prospects in the field of data analytics.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Translate complex data into understandable insights.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn to create compelling data stories.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Earn a certificate to validate your learning.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Experience a curriculum filled with examples and essential projects.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Business Intelligence Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Tableau Consultant</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analytics Specialist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Visualization Expert</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Basic understanding of data concepts.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Interest in learning data analytics.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Reliable internet connection for online learning.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Module 01: Introduction to the Course</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to the Course</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>What is Tableau?An Introduction to Tableau</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>How this course is Structured</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Installing the Free Full Version of Tableau</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Discount Mart</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Discount Mart</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Discount Mart (Part 1)</td><td><span>🕐 00:33:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Discount Mart (Part 2)</td><td><span>🕐 00:16:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Headline Cards on Tableau for Discount Mart</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building and Publishing Dashboards on Tableau</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Project 2: Green Destinations (HR Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Green Destinations</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connecting and Preparing Data for Green Destinations</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 1) for Green Destinations</td><td><span>🕐 00:29:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 2) for Green Destinations</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Headline Cards on Tableau</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building a Dashboard for Green Destinations</td><td><span>🕐 00:12:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Project 3: Superstore (Sales Agent Tracker)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Super Store</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Super Store</td><td><span>🕐 00:17:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 1) for Super Store</td><td><span>🕐 00:34:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 2) for Super Store</td><td><span>🕐 00:23:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building a Dashboard</td><td><span>🕐 00:18:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 05: Northwind Trade (Shipping Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Northwind Trade</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Northwind Trade</td><td><span>🕐 00:14:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Northwind Trade</td><td><span>🕐 00:37:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building and Publishing Dashboards for Northwind Trade</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 06: Project 5: Tesla (Stock Price Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Tesla</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating a Data Source through Google Sheet Functions</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connect to the Data for Tesla</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau for Tesla</td><td><span>🕐 00:22:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Headline Cards</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building a Tesla Dashboard</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 07: Bonus: Introduction to Database Concepts</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to Database Concepts</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Understanding Relational Databases</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Relationships of Database Entities</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Primary and Foreign Keys</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data types and Naming Conventions</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 08: Tableau Stories</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Stories on Tableau</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Resources </strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources - Data Analytics with Tableau</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Skill Up

Become a certified Tableau Data Analyst through our Data Analytics course. Gain the skills to analyze and visualize data using Tableau.

<h3><b>Overview</b></h3><p> </p><p><span>With the ever-increasing demand for Tableau in personal &amp; professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Tableau may be.</span></p><p> </p><p><span>Learning about Tableau or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Tableau. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Tableau is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.</span></p><p> </p><p><span>The self-paced online learning methodology by Compete High in this Diploma in Data Analytics In Tableau course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!</span></p><p> </p><p><span>Instead of searching for hours, enrol right away on this Diploma in Data Analytics In Tableau course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.</span></p><p> </p><h3><b>Who is this course for?</b></h3><p> </p><p><span>While we refrain from discouraging anyone wanting to do this Diploma in Data Analytics In Tableau course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:</span></p><ol><li><span>Anyone looking for the basics of Tableau,</span></li><li><span>Jobseekers in the relevant domains,</span></li><li><span>Anyone with a ground knowledge/intermediate expertise in Tableau,</span></li><li><span>Anyone looking for a certificate of completion on doing an online training on this topic,</span></li><li><span>Students of Tableau, or anyone with an academic knowledge gap to bridge,</span></li><li><span>Anyone with a general interest/curiosity</span></li></ol><p> </p><h3><b>Career Path</b></h3><p> </p><p><span>This Diploma in Data Analytics In Tableau course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. </span></p><p> </p><div><div><div><h3>
Course Curriculum</h3><div><div><h4>
Module 01_ Data Analytics</h4><div><div><ul><li><div>
<span></span><h5>
Data Analytics</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 02_ Why Use Tableau for Data Analytics</h4><div><div><ul><li><div>
<span></span><h5>
Why Use Tableau for Data Analytics</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 03_ Getting Started With Tableau</h4><div><div><ul><li><div>
<span></span><h5>
Getting Started With Tableau</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 04_ Tableau Data Source (TDS)</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Data Source (TDS)</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 05_ Tableau Worksheets</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Worksheets</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 06_ Tableau Calculations</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Calculations</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 07_ Tableau Sort _ Filters</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Sort _ Filters</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 08_ Tableau Charts</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Charts</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 09_ Tableau Advanced</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Advanced</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div></div></div></div></div>

Overview
 
With the ever-increasing demand for Tableau in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Tableau may be.
 
Learning about Tableau or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Tableau. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Tableau is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.
 
The self-paced online learning methodology by Compete High in this Diploma in Data Analytics In Tableau course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!
 
Instead of searching for hours, enrol right away on this Diploma in Data Analytics In Tableau course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.
 
Who is this course for?
 
While we refrain from discouraging anyone wanting to do this Diploma in Data Analytics In Tableau course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:
Anyone looking for the basics of Tableau,
Jobseekers in the relevant domains,
Anyone with a ground knowledge/intermediate expertise in Tableau,
Anyone looking for a certificate of completion on doing an online training on this topic,
Students of Tableau, or anyone with an academic knowledge gap to bridge,
Anyone with a general interest/curiosity
 
Career Path
 
This Diploma in Data Analytics In Tableau course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. 
 

Course Curriculum
Module 01_ Data Analytics
Data Analytics

00:00
Module 02_ Why Use Tableau for Data Analytics
Why Use Tableau for Data Analytics

00:00
Module 03_ Getting Started With Tableau
Getting Started With Tableau

00:00
Module 04_ Tableau Data Source (TDS)
Tableau Data Source (TDS)

00:00
Module 05_ Tableau Worksheets
Tableau Worksheets

00:00
Module 06_ Tableau Calculations
Tableau Calculations

00:00
Module 07_ Tableau Sort _ Filters
Tableau Sort _ Filters

00:00
Module 08_ Tableau Charts
Tableau Charts

00:00
Module 09_ Tableau Advanced
Tableau Advanced

00:00

Compete High

Diploma in Data Analytics In Tableau

<p><strong></strong><strong> Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! </strong><strong></strong></p><p><strong>Are you looking to improve your current abilities or make a career move? Our unique</strong><strong> Data Analytics with Tableau</strong><strong> course might help you get there! Expand your expertise with high-quality training - study the</strong><strong> Data Analytics with Tableau </strong><strong>course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the</strong><strong>online training course.</strong></p><p>The Data Analytics with Tableau course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Data Analytics with Tableau course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course.</p><p>This Data Analytics with Tableau training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!</p><p><strong>Why Prefer Us? </strong></p><ul><li>Opportunity to earn a certificate accredited by <strong>CPDQS.</strong></li><li><strong>Get a free student ID </strong>card!(£10 postal charge will be applicable for international delivery)</li><li>Innovative and Engaging Content.</li><li>Free Assessments</li><li>24/7 Tutor Support.</li></ul> <p>Take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p>Here is the curriculum breakdown of the Data Analytics with Tableau course:</p><p><strong> Data Analytics with Tableau <br /></strong></p><ul><li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul><p><strong>Assessment Process</strong></p><p>Once you have completed all the modules in the Data Analytics with Tableau course, you can assess your skills and knowledge with an optional assignment.</p><p><strong>Certificate of Completion</strong></p><p>The learners have to complete the assessment of this Data Analytics with Tableau course to achieve the <strong>CPDQS accredited certificate</strong>.</p><ul><li><strong>Digital Certificate: £10</strong></li><li><strong>Hard Copy Certificate: £29 (Inside UK)</strong></li><li><strong>Hard Copy Certificate: £39 (for international students)</strong></li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in learning more about the topic is advised to take this Data Analytics with Tableau course. This course is open to everybody.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to enrol in this course.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this course, you are to start your career or begin the next phase of your career.</p>
                        </div>

 Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! 
Are you looking to improve your current abilities or make a career move? Our unique Data Analytics with Tableau course might help you get there! Expand your expertise with high-quality training - study the Data Analytics with Tableau course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through theonline training course.
The Data Analytics with Tableau course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Data Analytics with Tableau course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course.
This Data Analytics with Tableau training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!
Why Prefer Us? 
Opportunity to earn a certificate accredited by CPDQS.
Get a free student ID card!(£10 postal charge will be applicable for international delivery)
Innovative and Engaging Content.
Free Assessments
24/7 Tutor Support.
Take a step toward a brighter future!
*** Course Curriculum ***
Here is the curriculum breakdown of the Data Analytics with Tableau course:
 Data Analytics with Tableau 

Module 01: Introduction to the Course
Module 02: Project 1: Discount Mart (Sales and Profit Analytics)
Module 03: Project 2: Green Destinations (HR Analytics)
Module 04: Project 3: Superstore (Sales Agent Tracker)
Module 05: Northwind Trade (Shipping Analytics)
Module 06: Project 5: Tesla (Stock Price Analytics)
Module 07: Bonus: Introduction to Database Concepts
Module 08: Tableau Stories
Assessment Process
Once you have completed all the modules in the Data Analytics with Tableau course, you can assess your skills and knowledge with an optional assignment.
Certificate of Completion
The learners have to complete the assessment of this Data Analytics with Tableau course to achieve the CPDQS accredited certificate.
Digital Certificate: £10
Hard Copy Certificate: £29 (Inside UK)
Hard Copy Certificate: £39 (for international students)
 CPD 
150 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone interested in learning more about the topic is advised to take this Data Analytics with Tableau course. This course is open to everybody.
 Requirements 
You will not need any prior background or expertise to enrol in this course.
 Career path 
After completing this course, you are to start your career or begin the next phase of your career.

Academy for Health and Fitness

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>Overview<p>Identify and configure basic functions of Tableau.     Connect to data sources, import data into Tableau, and save Tableau files     Create views and customize data in visualizations.     Manage, sort, and group data.     Save and share data sources and workbooks.     Filter data in views.     Customize visualizations with annotations, highlights, and advanced features.     Create and enhance dashboards in Tableau.     Create and enhance stories in Tableau</p><p></p><p>As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.</p>  <p>The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. TableauÂ© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.</p><p></p>Prerequisites<p>To ensure your success in this course, you should have experience managing data with MicrosoftÂ© ExcelÂ© or Google Sheets?.</p></div><div id="course-pills-2"><h3>Lesson 1: Tableau Fundamentals</h3><ul>     <li>Topic A: Overview of Tableau</li>    <li>Topic B: Navigate and Configure Tableau</li></ul>  <h3>Lesson 2: Connecting to and Preparing Data</h3><ul>    <li>Topic A: Connect to Data</li>    <li>Topic B: Build a Data Model</li>    <li>Topic C: Save Workbook Files</li>    <li>Topic D: Prepare Data for Analysis</li></ul>  <h3>Lesson 3: Exploring Data</h3><ul>    <li>Topic A: Create Views</li>    <li>Topic B: Customize Data in Visualizations</li></ul>  <h3>Lesson 4: Managing, Sorting, and Grouping Data</h3><ul>    <li>Topic A: Adjust Fields</li>    <li>Topic B: Sort Data</li>    <li>Topic C: Group Data</li></ul>  <h3>Lesson 5: Saving, Publishing, and Sharing Data</h3><ul>    <li>Topic A: Save Data Sources</li>    <li>Topic B: Publish Data Sources and Visualizations</li>    <li>Topic C: Share Workbooks for Collaboration</li></ul>  <h3>Lesson 6: Filtering Data</h3><ul>    <li>Topic A: Configure Worksheet Filters</li>    <li>Topic B: Apply Advanced Filter Options</li>    <li>Topic C: Create Interactive Filters</li></ul>  <h3>Lesson 7: Customizing Visualizations</h3><ul>    <li>Topic A: Format and Annotate Views</li>    <li>Topic B: Emphasize Data in Visualizations</li>    <li>Topic C: Create Animated Workbooks</li>    <li>Topic D: Best Practices for Visual Design</li></ul>  <h3>Lesson 8: Creating Dashboards in Tableau</h3><ul>    <li>Topic A: Create Dashboards</li>    <li>Topic B: Enhance Dashboards with Actions</li>    <li>Topic C: Create Mobile Dashboards</li></ul>  <h3>Lesson 9: Creating Stories in Tableau</h3><ul>    <li>Topic A: Create Stories</li>    <li>Topic B: Enhance Stories with Tooltips</li></ul></div>

Tableau Desktop - Part 1

<strong>Do you want to learn Tableau and crack the Tableau Certified Data Analyst Exam? Then this course is for you!

This course is designed for absolute beginners, and it is well equipped with detailed video tutorials, exam notes PDF, tips and tricks, and full practice tests in exam format along with solutions.</strong>
        <p>This course is designed considering the fact that you are an absolute beginner, and you will be taught even the most basic concepts in Tableau from scratch so that after completing this course, you will be able to create rich visualizations easily and confidently.

It will help you prepare for and clear your Tableau Certified Data Analyst Exam. In this course, you will find practice tests designed keeping the current exam format in mind; you will find similar kinds of questions in the exam. We will also show you how to solve the questions in a faster way and all the detailed solutions are provided for the hands-on questions.

This course starts with the basic concepts of Tableau to refresh your knowledge. Then, you will look at field and chart types, and how to organize and simplify data. You will then move on to execute calculations, mapping, and analytics. After that, dashboards and data connections will be covered.

Finally, you will be looking at some practice tests to reinforce your learning. The data analyst topics covered include data connections, organizing and simplifying data, field and chart types, calculations, mapping, analytics, and dashboards.

By the end of this course, you will be able to create rich visualizations easily and confidently, and you will be ready to ace your Tableau Certified Data Analyst Exam.

All the resource files are uploaded on the GitHub repository at: https://github.com/PacktPublishing/Learn-Tableau-Certified-Data-Analyst-Exam</p>
        <h2>What You Will Learn</h2><p>Learn basic concepts of Tableau to refresh your knowledge<br>Look at field and chart types along with organizing and simplifying data<br>Execute calculations, mapping, and analytics<br>Use dashboards and data connection<br>Manipulate string, date and arithmetic calculations, logic statements<br>Connect to spatial files and look at forecasting, trend lines, and model</p>
        <h2>Audience</h2><p>This course is ideal for anyone who wants to learn Tableau and an experienced individual working on Tableau can benefit from this course in order to pass the Tableau Certified Data Analyst Exam.<br>An individual with an attitude of willingness to learn is the basic requirement. Working knowledge of Tableau is a plus but not mandatory.</p>
        <h2>Approach</h2><p>A comprehensive hands-on guide with real-time exam-oriented examples. The exam pattern and structure are mapped explicitly with the actual exam so that the customer is accustomed to the exam. Practice tests with their solutions are also added in the later part of the course.</p>
        <h2>Key Features</h2><p>Learn Tableau from scratch to ace the Tableau Certified Data Analyst Exam * Study guide PDF and quizzes provided to revise and reinforce the concepts learned * Discover a dedicated section for the practice tests and their solutions</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Learn-Tableau-Certified-Data-Analyst-Exam</p>
        <h2>About the Author</h2><h3>Vivek P.</h3><p>Vivek P. is a Tableau Certified Associate with more than 12 years of IT experience with different technologies. He is enthusiastic about working with technology and strongly believes in hands-on learning. His teaching methodology is also driven by this belief.</p>
        <h2>Course Outline</h2><h4>1. Getting started with Tableau</h4><p></p><br><h4>2. Field & Chart Types</h4><p></p><br><h4>3. Organizing & Simplifying Data</h4><p></p><br><h4>4. Calculations</h4><p></p><br><h4>5. Mapping</h4><p></p><br><h4>6. Analytics</h4><p></p><br><h4>7. Dashboards</h4><p></p><br><h4>8. Data Connections</h4><p></p><br><h4>9. Exam Tips and Tricks</h4><p></p><br><h4>10. Practice Test 1</h4><p></p>

Packt

Do you want to learn Tableau and crack the Tableau Certified Data Analyst Exam? Then this course is for you!

This course is designed for absolute beginners, and it is well equipped with detailed video tutorials, exam notes PDF, tips and tricks, and full practice tests in exam format along with solutions.

Learn Tableau and Ace the Tableau Certified Data Analyst Exam

<strong>This course is designed for absolute beginners and explains even the most basic concepts in Tableau from scratch. By completing this course, you will be able to create rich visualizations easily and confidently and have the knowledge required to crack the Tableau Desktop Specialist Exam.</strong>
        <p>Do you want to learn Tableau and crack the Tableau Desktop Specialist Exam? Then this course is for you.

This course is designed considering that you are an absolute beginner; you will learn even the most fundamental concepts in Tableau so that after completing this course, you can create rich visualizations easily and confidently.

It will help you prepare for and clear your Tableau Desktop Specialist exam. In this course, you will find practice tests that are designed by keeping the current exam format in mind; you will find similar kinds of questions in the exam. We will also show you how to solve the questions faster and all the detailed solutions are provided for the hands-on questions.

In this course, we will cover the following Specialist topic areas: the four exam domains-Connecting to and Preparing Data, Exploring and Analyzing Data, Sharing Insights, and Understanding Tableau Concepts.

By the end of this course, you will be well-prepared for your Tableau Desktop Specialist Exam. All the best!

All the resources and practice tests for this course are available at:  https://github.com/PacktPublishing/Learn-Tableau-and-Ace-the-Tableau-Desktop-Specialist-Exam</p>
        <h2>What You Will Learn</h2><p>Learn Tableau concepts, create basic charts and histograms in Tableau<br>Combine data from various sources using Join, Blend, and Union<br>Optimize the data you use with Extracts and live connections<br>Discover ways to group data using hierarchies, groups, and sets<br>Improve your visualizations by adding reference and trend lines<br>Filter, sort, and apply table calculations to data in Tableau</p>
        <h2>Audience</h2><p>This course acts as preparatory material for the Tableau Desktop Specialist exam. No prior knowledge of Tableau is required for this course. It is also helpful for anyone who wants to learn how to visualize data using Tableau.<br><br>The course is updated with content changes as per the V2020.3 Tableau Desktop Specialist Exam.</p>
        <h2>Approach</h2><p>This course provides you with all the material required to ace the Tableau Specialist exam. Everything in a single course-detailed video tutorials, exam notes PDF, tips and tricks, quizzes, practice tests in exam format along with solutions.<br><br>The course has a dedicated section for exam tips and tricks.</p>
        <h2>Key Features</h2><p>Create stunning visualizations and build dashboards that help you easily access and compare data * Showcase information by providing context and narratives using the story feature * Real exam-like questions for practice with a detailed explanation of hands-on questions</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Learn-Tableau-and-Ace-the-Tableau-Desktop-Specialist-Exam</p>
        <h2>About the Author</h2><h3>Vivek P.</h3><p>Vivek P. is a Tableau Certified Associate with more than 12 years of IT experience with different technologies. He is enthusiastic about working with technology and strongly believes in hands-on learning. His teaching methodology is also driven by this belief.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Understanding Tableau Concepts</h4><p></p><br><h4>3. Exploring and Analyzing data</h4><p></p><br><h4>4. Sharing Insights</h4><p></p><br><h4>5. Connecting to & Preparing Data</h4><p></p><br><h4>6. Hands-On Quiz to test the Tableau knowledge</h4><p></p>

This course is designed for absolute beginners and explains even the most basic concepts in Tableau from scratch. By completing this course, you will be able to create rich visualizations easily and confidently and have the knowledge required to crack the Tableau Desktop Specialist Exam.

Learn Tableau and Ace the Tableau Desktop Specialist Exam

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam.</p>Overview<p>Blend data multiple sources.     Join data.     Access data in PDFs.     Refine visualizations with sets and parameters.     Analyze data with calculations.     Visualize data with advanced calculations.     Perform statistical analysis and forecasting.     Create geographic visualizations.     Get answers with Ask and Explain</p><p></p><p>The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage.</p>  <p>Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. TableauÂ© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients.</p><p></p>Prerequisites<p>Tableau Desktop: Part 1</p></div><div id="course-pills-2"><h3>Lesson 1: Blending Data from Multiple Sources</h3><ul>  <li>Topic A: Blend Data</li>  <li>Topic B: Refine Blends to Visualize Key Information</li> </ul>  <h3>Lesson 2: Joining Data</h3><ul>  <li>Topic A: Create Joins</li>  <li>Topic B: Troubleshoot Joins</li>  <li>Topic C: Merge Data with Unions</li></ul>  <h3>Lesson 3: Accessing Data in PDFs</h3><ul>  <li>Topic A: Connect to PDFs</li>  <li>Topic B: Clean Up and Organize PDF Data</li> </ul>  <h3>Lesson 4: Refining Visualizations with Sets and Parameters</h3><ul>  <li>Topic A: Create Sets</li>  <li>Topic B: Analyze Data with Sets</li>  <li>Topic C: Apply Parameters to Refine Visualizations</li>  <li>Topic D: Create Advanced Visualizations</li> </ul>  <h3>Lesson 5: Analyzing Data with Calculations</h3><ul>  <li>Topic A: Create Calculated Fields to Analyze Data</li>  <li>Topic B: Manipulate Data with Functions</li>  <li>Topic C: Analyze Data with Table Calculations</li> </ul>  <h3>Lesson 6: Visualizing Data with Advanced Calculations</h3><ul>  <li>Topic A: Create Groups and Bins with Calculations</li>  <li>Topic B: Analyze Data with LOD Expressions</li> </ul>  <h3>Lesson 7: Performing Statistical Analysis and Forecasting</h3><ul>  <li>Topic A: Perform Statistical Analysis</li>  <li>Topic B: Forecast Data Trends</li> </ul>  <h3>Lesson 8: Creating Geographic Visualizations</h3><ul>  <li>Topic A: Create Maps</li>  <li>Topic B: Customize Mapped Data</li> </ul>  <h3>Lesson 9: Getting Answers with Ask and Explain</h3><ul>  <li>Topic A: Ask Data</li>  <li>Topic B: Explain Data</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Tableau Desktop - Part 2 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Tableau Desktop - Part 2 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Tableau Desktop - Part 2

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports.</p>Overview<p>Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis</p><p>As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. TableauÂ© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings.</p>Prerequisites<p>To ensure your success in this course, you should have experience managing data with MicrosoftÂ© ExcelÂ© or Google Sheets?</p></div><div id="course-pills-2"><h3> Lesson 1: Exploring Tableau Reports</h3><ul> <li>Topic A: Data Analysis Workflow with Tableau</li> <li>Topic B: Explore Views</li> <li>Topic C: Edit Workbooks</li></ul>  <h3> Lesson 2: Analyzing Data to Get Answers and Insights</h3><ul> <li>Topic A: Configure Marks with the Marks Card</li> <li>Topic B: Ask New Questions by Changing Aggregation</li> <li>Topic C: Find Answers with Calculations</li> <li>Topic D: Answer Questions with Table Calculations</li></ul>  <h3> Lesson 3: Sorting and Grouping Data for Analysis and Reporting</h3><ul> <li>Topic A: Sort Data</li> <li>Topic B: Group Data</li></ul>  <h3> Lesson 4: Filtering Views</h3><ul> <li>Topic A: Filter Data to Refine Analysis</li> <li>Topic B: Create Interactive Filters for Reports</li></ul>  <h3> Lesson 5: Preparing Reports</h3><ul> <li>Topic A: Format and Annotate Views to Tell Your Story</li> <li>Topic B: Emphasize Data in Reports</li> <li>Topic C: Animate Visualizations for Clarity</li></ul>  <h3>Lesson 6: Troubleshooting, Sharing, and Collaborating</h3><ul> <li>Topic A: Troubleshoot Data Issues</li> <li>Topic B: Collaborate in Tableau Online </li><li>Topic C: Collaborate with Non-Tableau Users</li></ul></div>

Tableau for Data-Driven Decision Makers

<strong>This course is designed for beginners who want to learn how to use Tableau Prep Builder for data preparation and data cleaning. We will start from scratch; no specific knowledge is required; you should only be familiar with Tableau.</strong>
        <p>Are you interested in data analytics and (self-service BI) business intelligence? Are you already using Tableau or plan to use it soon?

You might have already seen Tableau as a visual analytics tool in action. You might have created Tableau dashboards yourself. But as you know, the result of visualizing your data is only the tip of the iceberg. As data analysts spend a huge amount of their time cleaning and preparing data, this process is quite tedious. However, it is most important to get the data cleaned and in the right format.

Meet Tableau Prep Builder! A great tool that can help us in doing data preparation/data cleaning fast and efficiently.

In this Tableau Prep Builder course, you will learn all you need to know to use the power of Tableau Prep Builder for your own data cleaning tasks. The course is developed for beginners. Hence, no prior knowledge is required even though working with Tableau before would be an advantage.

This course will first explore the Tableau Prep Builder interface and then perform three case studies to understand how to use Tableau Prep Builder for data cleaning and data preparation. 

By the end of this course, you will be able to use the power of Tableau Prep Builder for data cleaning.

All the resources for this course are available at  https://github.com/PacktPublishing/Tableau-Prep-Builder-for-Beginners-Getting-Started</p>
        <h2>What You Will Learn</h2><p>Learn the fundamentals of Tableau Prep Builder<br>Learn how to get started with Tableau Prep Builder<br>Perform data cleaning with Tableau Prep Builder<br>Learn how to deal with multiple excel files<br>Work with multiple CSV files as a case study<br>Use transaction case study for data enrichment</p>
        <h2>Audience</h2><p>This course is for all Tableau users who need to do data cleaning. Aspiring data analysts or data scientists or report creators can also benefit from this course.<br><br>This course is a crash course for beginners; hence, we start from scratch so no specific knowledge is required but you should be familiar with Tableau. Tableau Prep builder 14-day Trial version could be used in case you do not have a license (yet).</p>
        <h2>Approach</h2><p>This is a practical course and consists of a case study where you can and should follow along to solve tasks.</p>
        <h2>Key Features</h2><p>Learn new ways to easily prepare data by only clicking or drag and drop with Tableau * Use different case studies to understand the power of Tableau Prep Builder * Perform data preparation and data cleaning with Tableau Prep Builder</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Tableau-Prep-Builder-for-beginners</p>
        <h2>About the Author</h2><h3>Dan We</h3><p>Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1-L3).
He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors.

He has a passion for learning and teaching. He is committed to supporting other people by offering them educational services and helping them accomplish their goals, gain expertise in their profession, or explore new careers.</p>
        <h2>Course Outline</h2><h4>1. Tableau Prep Builder - let's get started</h4><p></p>

This course is designed for beginners who want to learn how to use Tableau Prep Builder for data preparation and data cleaning. We will start from scratch; no specific knowledge is required; you should only be familiar with Tableau.

Tableau Prep Builder for Beginners - Getting Started

Let's build sophisticated visualizations and dashboards using Sankey diagrams and geospatial, sunburst, and circular charts and animate your visualizations. We will also cover advanced Tableau topics, such as Tableau parameters and use cases and Level of Detail (LOD) expressions, spatial functions, advanced filters, and table calculations.

Ultimate Tableau Desktop Course - Beginner to Advanced Bundle

<strong>Learn how to combine the three most important tools in data science: Python, SQL, and Tableau</strong>
        <p>Python, SQL, and Tableau are three of the most widely used tools in the world of data science. Python is the leading programming language
SQL is the most widely used means for communication with database systems
Tableau is the preferred solution for data visualization;

The course starts off by introducing software integration as a concept. We discuss some important terms such as servers, clients, requests, and responses. Moreover, you will learn about data connectivity, APIs, and endpoints. Then we continue by introducing the real-life example exercise the course is centred around: the Absenteeism at Work dataset. The preprocessing part that follows will give you a taste of what BI and data science look like in real-life, on-the-job situations. Then we continue by applying some Machine Learning to our data. You will learn how to explore the problem at hand from a machine-learning perspective, how to create targets, what kind of statistical preprocessing is necessary for this part of the exercise, how to train a Machine Learning model, and how to test it-a truly comprehensive ML exercise. Connecting Python and SQL is not immediate; we show how that's done in an entire section of the course.

By the end of that section, you will be able to transfer data from Jupyter to Workbench. And finally, as promised, Tableau will allow us to visualize the data we have been working with. We will prepare several insightful charts and will interpret the results together.

All the code files are placed at https://github.com/PacktPublishing/Python-SQL-Tableau-Integrating-Python-SQL-and-Tableau</p>
        <h2>What You Will Learn</h2><p>Create a module of the ML model for later use<br>Connect Python and SQL to transfer data from Jupyter to Workbench<br>Visualize data in Tableau<br>Analyze and interpret exercise outputs in Jupyter and Tableau</p>
        <h2>Audience</h2><p>This course is for anyone looking for a career in Business Intelligence and Data Science. Data scientists who are eagerly looking to break into the field and learn the necessary essentials of Data Science and software engineers who are interested in building intelligent applications driven by Python and Machine Learning will also benefit from this course.</p>
        <h2>Approach</h2><p>This course is designed so that each section covers a new scenario and uses a step-by-step approach to help you learn and understand each concept.</p>
        <h2>Key Features</h2><p>How to use Python, SQL, and Tableau together * Software integration * Data preprocessing techniques * Apply machine learning</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-sql-tableau-integrating-python-sql-and-tableau</p>
        <h2>About the Author</h2><h3>365 Careers Ltd.</h3><p>365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section will give you a brief introduction about the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): What Does the Course Cover?</p><p style='margin: 0'>Introduction: What Does the Course Cover?</p></td></tr></tbody></table><br><h4>2. What is software integration?</h4><p>This section will help you to understand about software integration?.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): Properties and Definitions: Data, Servers, Clients, Requests and Responses</p><p style='margin: 0'>What is software integration?: Properties and Definitions: Data, Servers, Clients, Requests and Responses</p></td></tr><tr><td style='padding: 15px;'><p>2. (Free Preview): Properties and Definitions: Data Connectivity, APIs, and Endpoints</p><p style='margin: 0'>What is software integration?: Properties and Definitions: Data Connectivity, APIs, and Endpoints</p></td></tr><tr><td style='padding: 15px;'><p>3. Further Details on APIs</p><p style='margin: 0'>What is software integration?: Further Details on APIs</p></td></tr><tr><td style='padding: 15px;'><p>4. (Free Preview): Text Files as Means of Communication</p><p style='margin: 0'>What is software integration?: Text Files as Means of Communication</p></td></tr><tr><td style='padding: 15px;'><p>5. Definitions and Applications</p><p style='margin: 0'>What is software integration?: Definitions and Applications</p></td></tr></tbody></table><br><h4>3. Setting up the working environment</h4><p>This section will help you set up the working environment.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Setting Up the Environment - An Introduction (Do Not Skip, Please)!</p><p style='margin: 0'>Setting up the working environment: Setting Up the Environment - An Introduction (Do Not Skip, Please)!</p></td></tr><tr><td style='padding: 15px;'><p>2. Why Python and why Jupyter?</p><p style='margin: 0'>Setting up the working environment: Why Python and why Jupyter?</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Anaconda</p><p style='margin: 0'>Setting up the working environment: Installing Anaconda</p></td></tr><tr><td style='padding: 15px;'><p>4. The Jupyter Dashboard - Part 1</p><p style='margin: 0'>Setting up the working environment: The Jupyter Dashboard - Part 1</p></td></tr><tr><td style='padding: 15px;'><p>5. The Jupyter Dashboard - Part 2</p><p style='margin: 0'>Setting up the working environment: The Jupyter Dashboard - Part 2</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing sklearn</p><p style='margin: 0'>Setting up the working environment: Installing sklearn</p></td></tr></tbody></table><br><h4>4. What's next in the course?</h4><p>This section will help you understand what this course is all about.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Up Ahead</p><p style='margin: 0'>What's next in the course?: Up Ahead</p></td></tr><tr><td style='padding: 15px;'><p>2. Real-Life Example: Absenteeism at Work</p><p style='margin: 0'>What's next in the course?: Real-Life Example: Absenteeism at Work</p></td></tr><tr><td style='padding: 15px;'><p>3. Real-Life Example: The Dataset</p><p style='margin: 0'>What's next in the course?: Real-Life Example: The Dataset</p></td></tr></tbody></table><br><h4>5. Preprocessing</h4><p>In this section, we'll learn about Preprocessing.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Sets in Python</p><p style='margin: 0'>Preprocessing: Data Sets in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Data at a Glance</p><p style='margin: 0'>Preprocessing: Data at a Glance</p></td></tr><tr><td style='padding: 15px;'><p>3. A Note on Our Usage of Terms with Multiple Meanings</p><p style='margin: 0'>Preprocessing: A Note on Our Usage of Terms with Multiple Meanings</p></td></tr><tr><td style='padding: 15px;'><p>4. Picking the Appropriate Approach for the Task at Hand</p><p style='margin: 0'>Preprocessing: Picking the Appropriate Approach for the Task at Hand</p></td></tr><tr><td style='padding: 15px;'><p>5. Removing Irrelevant Data</p><p style='margin: 0'>Preprocessing: Removing Irrelevant Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Examining the Reasons for Absence</p><p style='margin: 0'>Preprocessing: Examining the Reasons for Absence</p></td></tr><tr><td style='padding: 15px;'><p>7. Splitting a Column into Multiple Dummies</p><p style='margin: 0'>Preprocessing: Splitting a Column into Multiple Dummies</p></td></tr><tr><td style='padding: 15px;'><p>8. Dummy Variables and Their Statistical Importance</p><p style='margin: 0'>Preprocessing: Dummy Variables and Their Statistical Importance</p></td></tr><tr><td style='padding: 15px;'><p>9. Grouping - Transforming Dummy Variables into Categorical Variables</p><p style='margin: 0'>Preprocessing: Grouping - Transforming Dummy Variables into Categorical Variables</p></td></tr><tr><td style='padding: 15px;'><p>10. Concatenating Columns in Python</p><p style='margin: 0'>Preprocessing: Concatenating Columns in Python</p></td></tr><tr><td style='padding: 15px;'><p>11. Changing Column Order in Pandas DataFrame</p><p style='margin: 0'>Preprocessing: Changing Column Order in Pandas DataFrame</p></td></tr><tr><td style='padding: 15px;'><p>12. Implementing Checkpoints in Coding</p><p style='margin: 0'>Preprocessing: Implementing Checkpoints in Coding</p></td></tr><tr><td style='padding: 15px;'><p>13. Exploring the Initial "Date" Column</p><p style='margin: 0'>Preprocessing: Exploring the Initial "Date" Column</p></td></tr><tr><td style='padding: 15px;'><p>14. Using the "Date" Column to Extract the Appropriate Month Value</p><p style='margin: 0'>Preprocessing: Using the "Date" Column to Extract the Appropriate Month Value</p></td></tr><tr><td style='padding: 15px;'><p>15. Introducing "Day of the Week"</p><p style='margin: 0'>Preprocessing: Introducing "Day of the Week"</p></td></tr><tr><td style='padding: 15px;'><p>16. Further Analysis of the DataFrame: Next 5 Columns</p><p style='margin: 0'>Preprocessing: Further Analysis of the DataFrame: Next 5 Columns</p></td></tr><tr><td style='padding: 15px;'><p>17. Further Analysis of the DaraFrame: "Education", "Children", "Pets"</p><p style='margin: 0'>Preprocessing: Further Analysis of the DaraFrame: "Education", "Children", "Pets"</p></td></tr><tr><td style='padding: 15px;'><p>18. A Final Note on Preprocessing</p><p style='margin: 0'>Preprocessing: A Final Note on Preprocessing</p></td></tr></tbody></table><br><h4>6. Machine Learning</h4><p>In this section, we'll learn about Machine Learning.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): Exploring the Problem from a Machine Learning Point of View</p><p style='margin: 0'>Machine Learning: Exploring the Problem from a Machine Learning Point of View</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating the Targets for the Logistic Regression</p><p style='margin: 0'>Machine Learning: Creating the Targets for the Logistic Regression</p></td></tr><tr><td style='padding: 15px;'><p>3. Selecting the Inputs</p><p style='margin: 0'>Machine Learning: Selecting the Inputs</p></td></tr><tr><td style='padding: 15px;'><p>4. A Bit of Statistical Preprocessing</p><p style='margin: 0'>Machine Learning: A Bit of Statistical Preprocessing</p></td></tr><tr><td style='padding: 15px;'><p>5. Train-test Split of the Data</p><p style='margin: 0'>Machine Learning: Train-test Split of the Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Training the Model and Assessing its Accuracy</p><p style='margin: 0'>Machine Learning: Training the Model and Assessing its Accuracy</p></td></tr><tr><td style='padding: 15px;'><p>7. Extracting the Intercept and Coefficients from a Logistic Regression</p><p style='margin: 0'>Machine Learning: Extracting the Intercept and Coefficients from a Logistic Regression</p></td></tr><tr><td style='padding: 15px;'><p>8. Interpreting the Logistic Regression Coefficients</p><p style='margin: 0'>Machine Learning: Interpreting the Logistic Regression Coefficients</p></td></tr><tr><td style='padding: 15px;'><p>9. Omitting the dummy variables from the Standardization</p><p style='margin: 0'>Machine Learning: Omitting the dummy variables from the Standardization</p></td></tr><tr><td style='padding: 15px;'><p>10. Interpreting the Important Predictors</p><p style='margin: 0'>Machine Learning: Interpreting the Important Predictors</p></td></tr><tr><td style='padding: 15px;'><p>11. Simplifying the Model (Backward Elimination)</p><p style='margin: 0'>Machine Learning: Simplifying the Model (Backward Elimination)</p></td></tr><tr><td style='padding: 15px;'><p>12. Testing the Machine Learning Model</p><p style='margin: 0'>Machine Learning: Testing the Machine Learning Model</p></td></tr><tr><td style='padding: 15px;'><p>13. How to Save the Machine Learning Model and Prepare it for Future Deployment</p><p style='margin: 0'>Machine Learning: How to Save the Machine Learning Model and Prepare it for Future Deployment</p></td></tr><tr><td style='padding: 15px;'><p>14. Creating a Module for Later Use of the Model</p><p style='margin: 0'>Machine Learning: Creating a Module for Later Use of the Model</p></td></tr></tbody></table><br><h4>7. Installing MySQL and Getting Acquainted with the Interface</h4><p>In this section, we'll Install MySQL and get Acquainted with the Interface.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Installing MySQL</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Installing MySQL</p></td></tr><tr><td style='padding: 15px;'><p>2. Setting Up a Connection</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Setting Up a Connection</p></td></tr><tr><td style='padding: 15px;'><p>3. Introduction to the MySQL Interface</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Introduction to the MySQL Interface</p></td></tr></tbody></table><br><h4>8. Connecting Python and SQL</h4><p>This section will help you to connect Python and SQL.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Implementing the 'absenteeism_module' - Part I</p><p style='margin: 0'>Connecting Python and SQL: Implementing the 'absenteeism_module' - Part I</p></td></tr><tr><td style='padding: 15px;'><p>2. Implementing the 'absenteeism_module' - Part II</p><p style='margin: 0'>Connecting Python and SQL: Implementing the 'absenteeism_module' - Part II</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a Database in MySQL</p><p style='margin: 0'>Connecting Python and SQL: Creating a Database in MySQL</p></td></tr><tr><td style='padding: 15px;'><p>4. Importing and Installing 'pymysql'</p><p style='margin: 0'>Connecting Python and SQL: Importing and Installing 'pymysql'</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating a Connection and Cursor</p><p style='margin: 0'>Connecting Python and SQL: Creating a Connection and Cursor</p></td></tr><tr><td style='padding: 15px;'><p>6. Creating the 'predicted_outputs' table in MySQL</p><p style='margin: 0'>Connecting Python and SQL: Creating the 'predicted_outputs' table in MySQL</p></td></tr><tr><td style='padding: 15px;'><p>7. Running an SQL SELECT Statement from Python</p><p style='margin: 0'>Connecting Python and SQL: Running an SQL SELECT Statement from Python</p></td></tr><tr><td style='padding: 15px;'><p>8. Transferring Data from Jupyter to Workbench - Part I</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part I</p></td></tr><tr><td style='padding: 15px;'><p>9. Transferring Data from Jupyter to Workbench - Part II</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part II</p></td></tr><tr><td style='padding: 15px;'><p>10. Transferring Data from Jupyter to Workbench - Part III</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part III</p></td></tr></tbody></table><br><h4>9. Analyzing the Obtained data in Tableau</h4><p>In this section, we'll analyze the Obtained data.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Analysis in Tableau: Age vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Age vs Probability</p></td></tr><tr><td style='padding: 15px;'><p>2. Analysis in Tableau: Reasons vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Reasons vs Probability</p></td></tr><tr><td style='padding: 15px;'><p>3. Analysis in Tableau: Transportation Expense vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Transportation Expense vs Probability</p></td></tr></tbody></table>

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