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Tableau 2020 Training for Data Science & Business Analytics

Business

Rating4.8
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Tableau 2020 Training for Data Science & Business Analytics, available at $94.99, has an average rating of 4.8, with 96 lectures, 13 quizzes, based on 1225 reviews, and has 59366 subscribers.

You will learn about Analyze and visualize data using Tableau 2020 Install Tableau Desktop 2020 Connect Tableau to a number of data source types such as Microsoft Excel, comma separated values, google sheets etc Learn to navigate through Tableau working environment Understand common data types used in Tableau, and terminologies such as measures and dimensions Create line charts in Tableau Create bar charts in Tableau Create area charts in Tableau Create treemaps in Tableau Create packed bubbles in Tableau Create cross-tabs and highlight tables in Tableau Create pie charts in Tableau Create Maps in Tableau Learn to create histogram and boxplots in Tableau Use additional details to pack information in your charts using color, size, and marks etc Create combined axis and dual axis charts in Tableau and convey more information in a single chart Format your Tableau charts to make your charts stand out Add interactive elements such as filters, tool tips, and parameters to create highly interactive charts and dashboards Learn Groups and Sets in Tableau Create interactive Tableau dashboards Create Tableau stories Create Tableau animated charts Create calculated fields in Tableau Create table calculations in Tableau Create Level of Detail (LOD) expressions in Tableau Add action elements using quick action filters and action elements to your Tableau dashboards Prepare datasets using renaming field names, creating aliases, splitting fields etc in Tableau Prepare data tables using union, joins, blends and data modelling and bring data in to Tableau environment Export and distribute your Tableau workbook to your audience This course is ideal for individuals who are Beginners interested in learning data analysis and data visualization or Anyone interested in data analysis or Anyone who works with data and wants to improve data visualization skills It is particularly useful for Beginners interested in learning data analysis and data visualization or Anyone interested in data analysis or Anyone who works with data and wants to improve data visualization skills.

Enroll now: Tableau 2020 Training for Data Science & Business Analytics

Summary

Title: Tableau 2020 Training for Data Science & Business Analytics

Price: $94.99

Average Rating: 4.8

Number of Lectures: 96

Number of Quizzes: 13

Number of Published Lectures: 96

Number of Published Quizzes: 13

Number of Curriculum Items: 109

Number of Published Curriculum Objects: 109

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $64.99

Quality Status: approved

Status: Live

What You Will Learn

  • Analyze and visualize data using Tableau 2020
  • Install Tableau Desktop 2020
  • Connect Tableau to a number of data source types such as Microsoft Excel, comma separated values, google sheets etc
  • Learn to navigate through Tableau working environment
  • Understand common data types used in Tableau, and terminologies such as measures and dimensions
  • Create line charts in Tableau
  • Create bar charts in Tableau
  • Create area charts in Tableau
  • Create treemaps in Tableau
  • Create packed bubbles in Tableau
  • Create cross-tabs and highlight tables in Tableau
  • Create pie charts in Tableau
  • Create Maps in Tableau
  • Learn to create histogram and boxplots in Tableau
  • Use additional details to pack information in your charts using color, size, and marks etc
  • Create combined axis and dual axis charts in Tableau and convey more information in a single chart
  • Format your Tableau charts to make your charts stand out
  • Add interactive elements such as filters, tool tips, and parameters to create highly interactive charts and dashboards
  • Learn Groups and Sets in Tableau
  • Create interactive Tableau dashboards
  • Create Tableau stories
  • Create Tableau animated charts
  • Create calculated fields in Tableau
  • Create table calculations in Tableau
  • Create Level of Detail (LOD) expressions in Tableau
  • Add action elements using quick action filters and action elements to your Tableau dashboards
  • Prepare datasets using renaming field names, creating aliases, splitting fields etc in Tableau
  • Prepare data tables using union, joins, blends and data modelling and bring data in to Tableau environment
  • Export and distribute your Tableau workbook to your audience

Who Should Attend

  • Beginners interested in learning data analysis and data visualization
  • Anyone interested in data analysis
  • Anyone who works with data and wants to improve data visualization skills

Target Audiences

  • Beginners interested in learning data analysis and data visualization
  • Anyone interested in data analysis
  • Anyone who works with data and wants to improve data visualization skills

Learn data visualization using Tableau 2020 through a hands on approach

Whether you are a beginner or have some skills in tableau, from this course you will learn tableau and develop skills that will help you present information and tell compelling stories using data.

50,000+ students have already enrolled in this course giving a 4.6 star rating!

  • This Tableau course is designed to be 100% practical and fully hands on, so you will be working on Tableau as I teach you how to build charts,  dashboards and stories. 

  • We will work together on every single detail that I will teach you and there will be an end of section exercise for you to solidify the knowledge you gained from each section

  • Detailed explanation for the end of section exercise is included so you can compare your results with mine. Every section is built in a way that the skills developed in the previous section will be applied in the later sections, so you will feel more confident and comfortable with tableau as you progress

  • This course includes 12 quizzes covering over 150 questions and a final exam covering 45 questions which will sharpen your understanding of Tableau

  • The learning should continue and that’s why I have included a 60 page reference handbook covering every single topic from the course for you to refer during and even after the course.

What students say about this course?

——————————————–

“The course is split into many stages, each designed to give a solid foundation in tableauwithout leaving the student with knowledge gaps. If someone is a complete beginner or have Basic knowledge then they can start with this course.” – Shashank Shukla

——————————————–

“I was familiar with Tableau even before starting this course, despite that I found the lessons bringing out an extra level of useful detail and Tableau features. Also I found the lessons appropriately pacedwhich allowed me to try it out in parallel within Tableau. So I’d highly recommend this course to total newbies and familiar beginners alike”– Sendil A B

——————————————–

“I am a beginner and I find this course extremely useful. The author explains the concepts clearly. The pace of the narration is perfect. Excited to deep dive into this course.” – Ram Shankar

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“It was a good match and it is very detailed presentation and many topics are coveredin the course” – Yoshihito Koya

—————————————————————————————————————————–

“Great course. Everything Clear and Concise. Great teacher “- Aleksandar Damjanovic

——————————————–

What will you learn from this course?

Whether you have little or no knowledge about Tableau 2020, by the end of this course, you will be able to:

1. Connect any data and walk through Tableau 2020 with ease

2. Build most commonly used charts such as line chart, bar chart, stacked bar chart, area chart, scatter plot, tree maps, pie charts, maps etc in Tableau from scratch as well as using the in-built templates from the ‘show-me’ menu in Tableau

3. Create Tableau dashboards by combining multiple charts to present a broad picture to your audience

4. Build interactive elements such as filters, action filters, tool tips, highlights etc. to allow your audience to interact with you Tableau charts and dashboards

5. Animate simple charts to create stunning visual effects in Tableau

6. Create stories in Tableau using dashboards and charts to convey a compelling narrative through data visualization

7. Create calculations using calculated fields, table calculations and level of detail expressions in Tableau

8. Apply data clean up techniques in Tableau such as removing unnecessary variables, filtering rows, splitting data fields, combine and rename classes etc.

9. Combine data from multiple sources using unions, joins, data blending and data modeling techniques in Tableau.

10. Save, export and distribute your Tableau workbook to your audiences, key stakeholders and customers

What is Tableau?

Tableau is a powerful, market leading data visualization and business intelligence software using intuitive drag-and-drop approach that help you to visually analyze data and create stunning visualizations.

Tableau’s simple interface makes anybody interact with the visualizations, discover patterns using underlying data and help make quick decisions.

Why should you learn tableau?

Whether you are an analyst or a business intelligence developer or anyone who has to deal with or present data in your day to day work, Tableau will make your life a lot better with its intuitive visual analytics.

If you are not into dealing with data but want to build a career in data science, data visualization and business analytics then Tableau is one of the most important tools you must learn to move forward in your career.

You will be pleasantly surprised by the quality of the data visualizations you will create within just a couple of weeks into using Tableau.

Your stakeholders and customers would see remarkable value in the data visualization you would create using Tableau.

Plus, if you have been spending hours and hours building charts using other clunky programs, then switching to tableau can save you literally hundreds of hours.

Also, gaining a certification in tableau has proven to be a great addition to one’s profile when they want to become a data scientist or a data analyst.

Who should take this course?

You should take the course,

  • If you have little or no existing knowledge in tableau

  • If you have some Tableau skills but you want to get better

  • If you want to learn Tableau from scratch and be able to create great data visualization

  • If are looking to move forward in your career by building skills in data science, data visualization and business analytics

  • If you are someone who works with data day in and day out and look forward to interesting ways to visualize data

  • If you are frustrated with the limitations of the clunky programs and the time you spend in building visualizations

About me

My name is Farzan Sajahan. I am a business management and data science consultant. I have over 15 years of experience in helping organizations make data driven decisions and in rolling out tableau powered business intelligence frameworks.

I currently run an analytics consulting firm focusing on analytics in operations, and marketing management. I currently help a handful of clients solve their operations management problems using analytics and teach data science in a couple of reputed business schools in India.

I have a degree in electronics and communication engineering from Anna University, India and an MBA from Erasmus University, The Netherlands.

I am based out of Chennai, India.

Course Curriculum

Chapter 1: Getting started with Tableau

Lecture 1: Course Introduction

Lecture 2: Analyzing Titanic Survivor Profiles using Tableau – A quick demo!

Lecture 3: Before Getting Started

Lecture 4: Install Tableau v2020 in your computer

Lecture 5: Read this: Important note about data set for this course

Chapter 2: Business challenge – Analyzing Super Stores dataset

Lecture 1: Business challenge: Analyzing Super Store dataset

Lecture 2: Connecting the Superstore Data Source

Lecture 3: Navigating through Tableau

Lecture 4: Data Types and Terminologies in Tableau

Lecture 5: Create Your First Chart in Tableau: Creating a Sales Trend Chart in Tableau

Lecture 6: Sales Trend using Bar Chart in Tableau

Lecture 7: Colors, Size, and Labels

Lecture 8: Generating and Sharing Output

Lecture 9: Quick Note on End of Section Challenges

Lecture 10: Challenge 1: Create a Profit Trend Chart

Lecture 11: Solution 1: Create a Profit Trend Chart

Chapter 3: Creating Charts in Tableau

Lecture 1: Introduction to Charting Methods

Lecture 2: Creating Area Charts in Tableau

Lecture 3: Creating Bar Charts in Tableau

Lecture 4: Understanding Family of Bar Charts in Tableau

Lecture 5: Creating Tree Maps in Tableau

Lecture 6: Creating Packed Bubble Charts in Tableau

Lecture 7: Creating Text, Highlight and Cross Tables in Tableau

Lecture 8: Creating Pie Charts in Tableau

Lecture 9: Creating Scatter Plots in Tableau

Lecture 10: Sorting Values in Charts

Lecture 11: Creating Fill Maps in Tableau

Lecture 12: Creating Symbol Maps in Tableau

Lecture 13: Fixing Map Errors in Tableau

Lecture 14: Selecting Regions Tableau Maps

Lecture 15: Introduction to Histograms

Lecture 16: Creating Histograms in Tableau

Lecture 17: Introduction to Box Plots

Lecture 18: Creating Box Plots using Tableau

Lecture 19: Challenge 2: Creating a word cloud in Tableau

Lecture 20: Solution 2: Creating a word cloud

Chapter 4: Making Your Charts Standout

Lecture 1: Formatting Chart Layout in Tableau

Lecture 2: Formatting Chart Axes in Tableau

Lecture 3: Formatting the Chart Colors and Fonts in Tableau

Lecture 4: Creating Combined Axis Charts in Tableau

Lecture 5: Creating Dual Axis Charts in Tableau

Lecture 6: Adding and Editing Tool Tips in Tableau

Lecture 7: Showing Charts within Tool Tips in Tableau

Lecture 8: Challenge 3: Creating Tool Tips in Tableau

Lecture 9: Solution 3: Creating Tool Tips in Tableau

Chapter 5: Filters, Groups and Sets

Lecture 1: Adding Simple Filters in Tableau

Lecture 2: Adding Wild Card Filters in Tableau

Lecture 3: Adding Conditional Filters in Tableau

Lecture 4: Adding Top / Bottom Filters in Tableau

Lecture 5: Creating Groups in Tableau

Lecture 6: Creating Sets in Tableau

Lecture 7: Challenge 4: Creating Filters

Lecture 8: Solution 4: Creating Filters

Chapter 6: Dashboards in Tableau

Lecture 1: Dashboard Layout in Tableau

Lecture 2: Adding Charts to Dashboards in Tableau

Lecture 3: Building Interactions in Dashboards

Lecture 4: Filtering using Action Filters

Lecture 5: Highlighting using Highlight Actions

Lecture 6: Challenge 5: Creating a Dashboard

Lecture 7: Solution 5: Creating a Dashboard

Chapter 7: Calculated Fields and Parameters

Lecture 1: Numerical Calculations

Lecture 2: Logical Calculated Fields

Lecture 3: Common Calculations in Tableau

Lecture 4: Parameters for Changing Filter settings in Tableau

Lecture 5: Parameters for Selection

Lecture 6: Challenge 6: Creating a Calculated Field

Lecture 7: Solution 6: Creating a Calculated Field

Chapter 8: Table Calculations and Level of Detail Expressions

Lecture 1: Introduction to Table Calculations and create Percent and Cumulative Totals

Lecture 2: More Table Calculations

Lecture 3: Creating Pareto Charts

Lecture 4: Introduction to LOD Expressions

Lecture 5: Types of LOD Expressions: Fixed, Include, Exclude

Lecture 6: Challenge 7: Creating a Pareto Chart

Lecture 7: Solution 7: Creating a Pareto Chart

Chapter 9: Stories and Animation

Lecture 1: Story Layout in Tableau

Lecture 2: Creating Stories in Tableau

Lecture 3: Animations in Tableau

Lecture 4: More on Animations in Tableau

Lecture 5: Challenge 8: Creating an Animated Chart

Lecture 6: Solution 8: Creating an Animated Chart

Chapter 10: Data Preparation in Tableau

Instructors

  • Farzan Sajahan
    Farzan Sajahan
    Business Management and Data Science Consultant

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 6 votes
  • 3 stars: 88 votes
  • 4 stars: 429 votes
  • 5 stars: 702 votes

Frequently Asked Questions


How long do I have access to the course materials?


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


Can I take my courses with me wherever I go?


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

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Tags: $94.99, Business, Business Analytics & Intelligence, Farzan Sajahan, Tableau 2020 Training for Data Science & Business Analytics
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