Tableau 10 and Tableau 9.3 Desktop, Server & Data Science
Tableau 10 and Tableau 9.3 Desktop, Server & Data Science, available at $79.99, has an average rating of 4.4, with 241 lectures, 15 quizzes, based on 556 reviews, and has 3527 subscribers.
You will learn about Learn about data visualisation principles & importance of Tableau in present world Learn about Tableau Architecture & the top charts used in Tableau Learn about the statistical concepts pivotal for success in Tableau profession Learn about building prediction models & forecasting models in Tableau Learn about Tableau calculated fields & advanced reporting concepts Learn in-depth concepts of K-Means clustering & Text Mining & how to accomplish the same in Tableau Learn about various Tableau Server concepts including security settings, automatic reporting, etc. This course is ideal for individuals who are With plethora of job opportunities & luring salaries which are best in industry, Tableau promises to be one of the best professions which is most sort after by students & working professionals. This course is meant for students, working professionals, data warehouse & business intelligence professionals, data analysts, data scientists, etc., who want to learn the science & art behind generating powerful data visualisations, to address even difficult business problems. Prior knowledge of working with data is a plus but not mandatory. It is particularly useful for With plethora of job opportunities & luring salaries which are best in industry, Tableau promises to be one of the best professions which is most sort after by students & working professionals. This course is meant for students, working professionals, data warehouse & business intelligence professionals, data analysts, data scientists, etc., who want to learn the science & art behind generating powerful data visualisations, to address even difficult business problems. Prior knowledge of working with data is a plus but not mandatory.
Enroll now: Tableau 10 and Tableau 9.3 Desktop, Server & Data Science
Summary
Title: Tableau 10 and Tableau 9.3 Desktop, Server & Data Science
Price: $79.99
Average Rating: 4.4
Number of Lectures: 241
Number of Quizzes: 15
Number of Published Lectures: 241
Number of Published Quizzes: 15
Number of Curriculum Items: 256
Number of Published Curriculum Objects: 256
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn about data visualisation principles & importance of Tableau in present world
- Learn about Tableau Architecture & the top charts used in Tableau
- Learn about the statistical concepts pivotal for success in Tableau profession
- Learn about building prediction models & forecasting models in Tableau
- Learn about Tableau calculated fields & advanced reporting concepts
- Learn in-depth concepts of K-Means clustering & Text Mining & how to accomplish the same in Tableau
- Learn about various Tableau Server concepts including security settings, automatic reporting, etc.
Who Should Attend
- With plethora of job opportunities & luring salaries which are best in industry, Tableau promises to be one of the best professions which is most sort after by students & working professionals. This course is meant for students, working professionals, data warehouse & business intelligence professionals, data analysts, data scientists, etc., who want to learn the science & art behind generating powerful data visualisations, to address even difficult business problems. Prior knowledge of working with data is a plus but not mandatory.
Target Audiences
- With plethora of job opportunities & luring salaries which are best in industry, Tableau promises to be one of the best professions which is most sort after by students & working professionals. This course is meant for students, working professionals, data warehouse & business intelligence professionals, data analysts, data scientists, etc., who want to learn the science & art behind generating powerful data visualisations, to address even difficult business problems. Prior knowledge of working with data is a plus but not mandatory.
- This course is about learning Business Intelligence & Analytical tool called Tableau, which has been in leaders position since 4 years
- Business Intelligence, Analytics, Data Visualisation, Tableau desktop, Tableau server, Tableau & Hadoop, Tableau & R, are the common terminologies used to find this course
- We have included course content in form of powerpoint presentation, datasets used for visualisation, 2 live case study projects for download, interview questions, sample resumes/profiles for job seekers
- This course is extremely exhaustive & hence will last for more than 25 hours
- Course is structured to start with introduction to the tool & the principles behind data visualisation. From there Tableau desktop is explained thoroughly including analytical concepts behind applicable visualisation. Finally course ends with explanation on Tableau server & the final 2 use cases as projects along with interview questions for job seekers
- Jobs are abundant for Tableau & salaries are very promising & highest in this domain. Also this course is very exhaustive which includes Statistics, Forecasting, Regression models, K-means Clustering, Text Mining, Hadoop & R required for Tableau. Also included are Tableau Desktop & Server concepts in one course.
Course Curriculum
Chapter 1: Tableau Introduction
Lecture 1: Introduction about the trainer and overall Agenda
Lecture 2: Introduction – Why Tableau ?
Lecture 3: Tableau, Analytics – Ice breaker
Lecture 4: Tableau Products & Introduction to Architecture – Part 1
Lecture 5: Tableau Architecture Part 2
Lecture 6: Tableau Architecture Part 3
Lecture 7: How to download and install tableau
Lecture 8: An Introduction to Tableau Desktop and History of Tableau
Lecture 9: Explore Tableau "Start Page"
Lecture 10: Location Based Analytics using Tableau
Lecture 11: Tableau User Interface
Lecture 12: Basic Tableau Visualization
Chapter 2: Statistics for Tableau including Linear Regression, K-Means Clustering & R
Lecture 1: First Moment Business Decision
Lecture 2: Measures of Dispersion
Lecture 3: Barplot & Histogram
Lecture 4: Box Plot
Lecture 5: Tableau-Barplot, Color encoded, Nested, Stacked
Lecture 6: Histograms
Lecture 7: Histogram-Calculated Field
Lecture 8: Pareto Chart
Lecture 9: Overlaying Pareto Chart
Lecture 10: Barplot Dual Axis
Lecture 11: Barplot-Calculated Field
Lecture 12: Box Plot
Lecture 13: Scatter Diagram, Correlation Coefficient
Lecture 14: Confidence Interval-Part 1
Lecture 15: Scatter Plot using Tableau
Lecture 16: Confidence Interval-Part 2
Lecture 17: Simple Linear Regression
Lecture 18: Simple Linear Regression R
Lecture 19: Linear Regression Tableau-Part 1
Lecture 20: Linear Regression Tableau-Part 2
Lecture 21: Data Visualization Principles-Part 1
Lecture 22: Data Visualization Principles-Part 2
Lecture 23: Connecting to Data R
Lecture 24: Tableau – R connection
Lecture 25: K-means Clustering -Part 1
Lecture 26: K-means Clustering -Part 2
Chapter 3: Working with Data using Tableau including Data Extraction & Blending
Lecture 1: Data Interpreter-Pivot
Lecture 2: Customizing Views, Data Types, Fields
Lecture 3: Using Clipboard, Hierarchies, Saving -Sharing Metadata
Lecture 4: Data Extraction
Lecture 5: Data Blending
Lecture 6: Tableau Hadoop Integration & Twitter data Extraction using Tableau
Chapter 4: Various Charts in Tableau including Text Mining
Lecture 1: Trend Line Chart
Lecture 2: Tableau_Maps_Mark Types
Lecture 3: Line Chart Variants
Lecture 4: Text Table – Area Chart
Lecture 5: Various Charts-Part 1
Lecture 6: Pie Chart
Lecture 7: Bubble Chart
Lecture 8: Bullet Chart
Lecture 9: Waterfall Chart
Lecture 10: Reference Lines, Bands, Distributions
Lecture 11: Word Cloud
Chapter 5: Bonus Section…
Lecture 1: Word Cloud_Text Mining
Chapter 6: Forecasting/Time series/Trend lines in Tableau
Lecture 1: Forecasting using Tableau
Lecture 2: Forecasting-Why Forecasting & types of Forecasts
Lecture 3: Forecasting – Who Forecasts?
Lecture 4: Forecasting Strategy-Defining goal
Lecture 5: Forecasting-Data Collection,Various components
Lecture 6: Forecasting Seasonal, Trend, Random components
Lecture 7: Forecasting-Data Exploration & Visualization
Lecture 8: Forecasting-Data Visualization Principles
Lecture 9: Forecasting-Error measures
Lecture 10: Exploratory Data Analysis Using Walmart Footfalls Example Part-1
Lecture 11: Exploratory Data Analysis Using Walmart Footfalls Example Part-2
Lecture 12: Evaluating Predictive Accuracy
Lecture 13: Forecasting Different Methods
Lecture 14: Recap Forecasting Part-1
Chapter 7: Forecasting Model Based Approaches
Lecture 1: Forecasting Methods-Linear Model
Lecture 2: Forecasting Methods-Exponential, Quadratic and Additive Seasonality Models
Lecture 3: Forecasting Methods- Additive seasonality with trend,Multiplicative seasonality
Lecture 4: Forecasting-Irregular Components.
Lecture 5: Forecasting – Linear Regression and Auto Regression
Lecture 6: Forecasting Autocorrelation Model
Lecture 7: Forecasting-Model Based Approach VS Data Driven Approach
Lecture 8: Forecasting-Understanding Moving Average
Lecture 9: Forecast Methods based on Smoothing
Lecture 10: Forecast Methods Exponential Smoothing
Chapter 8: Forecast Data Driven Approach
Lecture 1: Forecast Data Driven- Holts and Winter Method
Lecture 2: Forecast Data Driven-Seasonal Indexes
Lecture 3: Forecast Seasonal Indexes,Centered Moving Average Hands On
Lecture 4: Forecasting -Logistic Regression using XLminar
Chapter 9: Tableau Filtering
Lecture 1: Tableau Filtering_Part 1
Lecture 2: Tableau Filtering_Part 2
Instructors
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ExcelR Solutions
Pioneer in professional management trainings & consulting
Rating Distribution
- 1 stars: 21 votes
- 2 stars: 30 votes
- 3 stars: 86 votes
- 4 stars: 184 votes
- 5 stars: 235 votes
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