Data Analytics & Visualization With TABLEAU

Learn how to build data visualizations, conduct data analyses and adopt best practices of data formatting with Tableau.

Get Advice

Data Analytics & Visualization With TABLEAU

Who this course is for:

This course is for anyone who wants to kickstart their career in Data Analytics.
This course is for anyone who wants to learn more about Tableau.

What you will Learn:

By the end of this course you'll understand the inner workings of the data analytics pipeline from joining, filtering, extracting data to developing dashboards
Develop 5 interactive dashboards and showcase them online to create a great profile of work for your Resume.

Connect to different data sources such as Excel, Google Sheets and even servers!
Be able to create in depth analyses with bar charts, line charts, donut charts and even geographical maps.
Develop a solid understanding of how calculations on Tableau work

Be able to understand joining data sources on Tableau and understanding types of joins
Work with sets and Level of Detail Calculations
Understand how Groups and Hierarchies on Tableau Works

Course Benefits & Key Features

Data Analysis with Tableau’s benefits and key features.

Modules

30+ Modules.

Lessons

80+ Lessons

Practical

40+ Hands-On Labs

Life Projects

5+ Projects

Resume

CV Preparations

Job

Jobs Reference

Recording

Session Recording

Interviews

Mock Interviews

Support

On Job Supports

Membership

Membership Access

Networks

Networking

Certification

Certificate of Completion

INSTRUCTOR-LED LIVE ONLINE CLASSES

Our learn-by-building-project method enables you to build

practical or coding experience that sticks. 95% of our

learners say they have confidence and remember more

when they learn by building real world projects which is

required to work in your real life.

Get step-by-step guidance to practice your skills without getting stuck
Validate your technical problem-solving skills in a real environment
Troubleshoot complex scenarios to practice what you learned
Develop production experience that translates into real-world

.

Tableau Skills Covered

Data Comprehensions
Effective Storytelling

Tableau Statistics
Analyze data for Decision Makings

Analytical and Visualizations
Arithmetic logical LOD calculations

Tableau Tools Covered

.

Why Data Analytics With Tableau?

Learn In-demand Skills

Those with careers in data analysis learn relevant in-demand skills that span industries and add value to every digital-enabled organization.

Earn a Higher Salary

Experienced data analysts can earn up to $112,000 per year and transition into higher-paying jobs as Senior Data Analysts, Data Scientists, or Analytics Managers.

Positive Job Outlook

The data analytics market is predicted to hit $132.90 Billion USD by 2026. COVID-19 pandemic accelerated the adoption of data analytics solutions and services.

Shape the Future

Data analysts transform organizations by capitalizing on data to improve their business decisions and solve critical real-world problems.

Become a Leader

Being a central part of an organization’s decision-making processes, analytics experts often pick up strong leadership skills as well.

Data Analysis are Constantly Evolving

Data analysis moves quickly, and data analysts are constantly learning and advancing in their careers.

GreaterHeight Certificates holders are prepared to work at companies like these.

Some Alumni Testimonies

Investing in the course "Become a Data Analyst" with GreaterHeight Academy is great value for the money and I highly recommend. The trainer is very knowledgeable, very engaging, provided us with quality training sessions on all courses and was easily acessible for queries. We also had access to the course materials and also the timely availability of the recorded videos made it easy and aided the learning process..

QUEEN OBIWULU

Team Lead, Customer Success

The training was fantastic, the instructor is an awesome lecturer, relentless and not tired in his delivery. He obviously enjoys teaching, it comes natural to him. We got more than we expected. He extended my knowledge of Excel beyond what I knew, and the courses were brilliantly delivered. They reach out, follow up, ask questions, and in fact the support has been great. They are highly recommended and I would definitely subscribe to other training programs from them.

BISOLA OGUNRO

Fraud Analytics Risk Oversight Manager

It's one thing to look for just a Data Analysis training, and it's another to get the knowledge transferred through certified professional trainers. No matter your initial level of proficiency in any of the Data Analysis tools, GreaterHeight Academy would meet you there and take you up to a highly proficienct and confident level in a short time at a reasonable pace. I learnt a lot of Data Analysis tools and skills at GreaterHeight from patient and resourceful teachers.

TUNDE MEREDITH

Operation Director - Abbfem Technology

The Data Analysis training program was one of the best I have attended. The way GreaterHeight took off with Excel and concluded the four courses with Excel was a mind blowing - it was WOW!! I concluded that I'm on the right path with the right mentor to take me from a novice to professional. GreaterHeight is the best as far as impacting Data Analysis knowledge is concern. I would shout it at the rooftop to recommend GreaterHeight to any trainee that really wants to learn.

JOHN OSI PETER

Greaterheight

I wanted to take a moment to express my deepest gratitude for the opportunity to study data analytics at GreaterHeight Academy. I am truly impressed by the level of dedication and support that the sponsor and CEO have put into this program. GreaterHeight Academy is without a doubt the best tech institution out there, providing top-notch education and resources for its students. One of the advantages of studying at GreaterHeight Academy is the access to the best tools and technologies in the field.

AYODELE PAYNE

Sales/Data Analyst

It is an unforgettable experience that will surely stand the test of time learning to become a Data Analyst with GreaterHeights Academy. The Lecture delivery was so impactful and the Trainer is vast and well knowledgeable in using the applicable tools for the Sessions. Always ready to go extra mile with you. The supports you get during and after the lectures are top notch with materials and resources available to build your confidence on and off the job.

ADEBAYO OLADEJO

Customer Service Advisor (Special Operations)

Data Analytics & Visualization With Tableau Course

Tableau for Data Analysis & Visualization

Tableau is a widely used BI and analytics software trusted by companies like Amazon and Unilever to explore, create, and securely share contextualized data. In this course, you will learn how to build data visualizations, conduct data analyses and adopt best practices of data formatting with Tableau.

Learn how to master Tableau for data analysis, developing your skills and knowledge in one of the world’s most popular business intelligence tools. Throughout nine courses, you’ll learn how to use Tableau’s features to clean, analyze, and visualize data. This Tableau Data Analyst track requires no prior experience. Starting with the Tableau basics, you’ll explore how to analyze data and create dashboards before putting your newfound Tableau skills to the test with hands-on exercises and case studies. You’ll learn how to connect data, create impactful, presentation-ready data visualizations, and familiarize yourself with the feature of Tableau and how you can use them to your advantage. You’ll finish the track by learning how to leverage advanced calculations and apply statistical techniques. Once completed, you'll have most of the skills and knowledge required to pass Tableau’s Data Analyst certification, and you’ll have the confidence to use Tableau for your own data analyses.

Introduction to Tableau

Gain a Comprehensive Introduction to Tableau

Tableau is a widely used BI and analytics software trusted by companies like Amazon and Unilever to explore, create, and securely share contextualized data. In this course, you will learn how to build data visualizations, conduct data analyses and adopt best practices of data formatting with Tableau.

Discover what Tableau is Used for and How to Visualize Data

With its user-friendly drag-and-drop functionality, Tableau can be used by everyone to quickly clean, analyze, and visualize your team’s data. This course can show you how. You’ll begin the course by understanding Tableau’s fundamental concepts and features, such as how to load data and workbooks and understanding the interface. You will then create your first visualization with Tableau using an Airbnb dataset.

Build your Own Tableau Dashboard

The final modules explore best practices for formatting and presenting your data with Tableau, including creating a dual-axis graph, understanding the differences between a worksheet, dashboard, and story, and finally, creating your very first Tableau dashboard. By the end of this course, you’ll have the skills you need to confidently explore Tableau and build impactful data dashboards. Check out our Tableau Fundamentals track to further develop your Tableau skills.

4 Modules | 5+ Hours | 4 Skills

Course Modules

You will get an understanding of Tableau's fundamental concepts and features: how to connect to data sources, use Tableau’s drag-and-drop interface, and create compelling visualizations. You will explore an Airbnb dataset for the city of Amsterdam.

Introduction
What can('t) you do with Tableau?
Connecting to data
Loading workbooks
Loading data
Navigating Tableau
Dimensions and measures
A tour of the interface
New York neighborhood prices
Segmenting by room type
How to create visualizations in Tableau
Creating your first visualization
Bringing it all together

Let’s take it up a level and review the core concepts required for analyzing and exploring data in Tableau. You’ll learn how to slice and dice data with filters, create new columns using your own calculated fields, and aggregate dimensions and measures in a view. You will be working with education, social and infrastructure data.

Filtering and sorting
The order of filtering
Sorting and filtering through selection
Sorting and excluding multiple fields
Comparing G7 countries
Filtering through the filter shelf
Filtering for null values
Top filters on Tableau
Aggregation
Aggregating measures and dimensions
Scatter plots and aggregations
CO2 Emissions and GDP in Sub Regions
Counting on GDP per capita
Standard deviation of life expectancy
Calculated fields
Calculated fields: which one is false?
Creating calculated fields
Calculated field for rounding
Ratio between genders
Average across genders

Dive deeper into analytics by learning how to visualize geographic data and plot data onto a map visualization. You’ll learn how to work with dates in Tableau and explore how the data changes with time. You’ll also learn how to add reference, trend, and forecasting lines to your views. You will do all of this exploring health statistics worldwide.

Mapping your data
Geocoding in Tableau
Creating a symbol map
Your first symbol map
More symbol map options
World population
Working with dates
Date hierarchies
Visualizing dates
Your data by year
Your data by month
Birth seasonality
Reference lines, trend lines, and forecasting
Know your lines
Adding reference lines, trend lines, and forecasting
Reference lines
Trend lines
Forecasting
Natality forecast

Your data is full of interesting stories and insights still waiting to be told. Learn best practices for formatting and presenting visualisations to tell data-driven stories. Using a new dataset on video game sales you'll be building your first dashboard!

Make your data visually appealing
The art of formatting
Applying visual best practices
Create a dual-axis graph
Expanding a dual-axis graph
Formatting your visualization
Dashboards and stories
Worksheet vs. dashboard vs. story
Creating dashboards and stories
Building a dashboard
Filters and dashboards
Creating and navigating a story
Recap

Connecting Data in Tableau

Great Analysis begins with Great Data

But how do you connect Tableau to your databases and other file types, so that you can build a view and analyze your data? In this course, you'll learn how to use connectors in Tableau to create a live connection to CSV and Excel files.

Combine Multiple Data Sources

Through hands-on exercises, you’ll also learn how to combine multiple data tables with joins, unions, and relationships.

Finally, you'll learn to manage different data properties, like renaming data fields, assigning aliases, changing data types, and changing default properties for a data field.

2 Modules | 3+ Hours | 2 Skills

Course Modules

In this module, you'll learn how to combine data from different sources using joins, unions, and relationships. You'll also discover the difference between extracts and live connections. Finally, you'll learn how to save your work in Tableau.

Combining data tables
Joins and unions
Unioning tables
Combining time data
Editing the union
Joining tables
Returned orders
Sales representatives
Relationships
Functionality of relationships
Establishing a relationship
Relationship to manufacturers
Worst products
Extracts
Creating extracts
Tableau file types
Extract or live connection

Learn to manage data properties by renaming columns, assigning aliases and geographic roles, changing data types, and leveraging default properties. On top of that, you'll discover the different data connectors and filter types.

Data properties
Naming and data labels
Managing the presentation of data
Using aliases and colors
Default formatting
More data management
Assigning geo roles
Creating a hierarchy
Default aggregations
Tableau connectors
Connecting to data
Database connectors
TDS data source files
Filters
Tableau filters
Tableau's filtering order of operation
Adding a context filter
Using different filters

Calculations in Tableau

Learn how to create calculations in Tableau to bring your visualizations to the next level.

Applying calculations

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

Exploring real-world datasets

You’ll explore real-life datasets, including Fitbit usage data and commercial retail clothing data.

Solve business problems

You’ll learn to solve business problems using Tableau, including cohort and survival analyses, prepare a what-if scenario with a dynamic quadrant chart, and how to troubleshoot your calculations. Ready, set, calculate!

4 Modules | 5+ Hours | 4 Skills

Course Modules

We will begin our journey through Tableau calculations with a concept of calculated fields and we will revisit the foundations of various types of calculations, such as row-level and aggregations. We will also learn how to troubleshoot typical calculations errors and, in the second part of this module, we will study useful String and Logical functions which are indispensable in any data analysis.

Introduction to calculations
Calculations knowledge check
Start to calculate in Tableau
Basic calculations
Reusing calculations
Troubleshooting basic errors
Understanding the averages
String and Logical functions
Knowledge check
Practical use of string and logical functions
String operations
IF only this was the last exercise

In this module we will explore the navigation between various levels of data granularity. With LOD expressions we will learn how to perform calculations independent of the dimensions in the view. Prepare to discover a whole new world of analytical possibilities that will help you get beyond the obvious insights!

Introduction to LOD Expressions and FIXED
LOD expressions - facts & myths
LOD FIXED in practice
Total distance per category
Cohort analysis
Survival rate
INCLUDE and EXCLUDE LOD expressions
LOD expressions knowledge check
INCLUDE and EXCLUDE expressions in practice
Practicing INCLUDE LOD
Practicing EXCLUDE LOD
Using multiple LOD expressions

In this module, we will zoom in on another useful type of calculations: Table calculations. We will learn how to calculate running totals, percentages of category, and ranking and discover ins and outs of underlying functions. In the second part of this module, we will uncover the parameters and learn how to use them in calculations. Let's go!

Introduction to Table Calculations
Table Calculations fact check
Table Calculations in action
Cumulative calculation
Nested Table Calculation
Ranking
Introduction to parameters
Parameters knowledge check
Parameters in practice
Calculating TOP N
Switching measures
Parameterized quadrant chart

In this module, we will work on time series analysis, but before we do so, we will focus on date and time data types as the critical components of all relevant time series calculations. Learning the key date functions will empower us to progress towards more complex analysis such as computing CAGR, Year over year calculations, and exploring seasonality trends or indexed growths. Knowledge from all the preceding modules will come in handy.

Date and time functions
Working with date and time - knowledge check
Date and time in practice
Date conversions
Date differences
Time series analysis
Time series analysis - knowledge check
Time series analysis in practice
Seasonality and moving averages
Calculating CAGR
Indexed growth
Wrap-up!

Analyzing Data in Tableau

Take your Tableau skills up a notch with advanced analytics and visualizations.

Create detailed visualizations

In this course, you’ll learn how to create detail-rich map visualizations, configure date and time fields to show trends over time, and extend your data using calculated fields.

Apply skills with a case study

You’ll also apply your new skills to complete a customer analytics case study. Through hands-on activities, you’ll learn how to create bins, customize filters and interactions, and apply quick table calculations.

Become a power user

Finally, you’ll learn power user techniques, including how to slice and dice data and apply dynamic sets and groups—bringing you one step closer to being Tableau Desktop Specialist certification-ready.

4 Modules | 5+ Hours | 4 Skills

Course Modules

Learn best practices for organizing fields into dimensions and measures and how to configure date and time fields for trend analysis. All the while, you’ll use Calculated Fields, quick table calculations, and highlight actions to elevate your visualizations and reveal the hidden insights.

Data preparation
Non-aggregating numerical dimensions
Preparing the data
Measures and calculated fields
Highlighter
Calculated Fields to extend data
DATEDIFF function
Weekday or weekend?
Highlighter for multiple rows
Visualizations for exploratory analysis of trends
Discrete or continuous time analysis?
Discrete time analysis and Quick Table Calculations
Low usage trends
Weekly pattern by user type
Slicing and dicing
Weekday trends by gender and time of day
Bubble chart
Scheduling a promotional discount

In this module, you’ll get to know more about Divvy users. Learning about them provides valuable information toward successful and continued engagement. To do this, you’ll build bar charts, KPI charts, and histograms with variable bin width. You’ll create additional insights by adding filters to your visualizations.

Who are your customers?
Missing information
Exploring user data
Getting to know the Divvy users
Adding filters
Building a KPI dashboard
Formatting user KPIs
Creating a user dashboard
Enhancing the dashboard
The distribution of users
Choosing the right chart type
Visualizing distributions
Using a histogram
Using a line chart
Working with bins
Customizing the bin size
Exploring day pass user age

Dive deeper into maps and elevate geographic data with layers and density. You'll customize Tooltips and learn how to embed them with more information. You'll also learn more about Quick Table Calculations and apply them to your visualizations.

Interactive mapping of customer activity over time
Customer activity in motion
Visualizing concentration of activity
Tableau's new density mark type
Layering and total dock utilization
Splitting the map
Enhancing the map
Overlaying the maps
Quick table calculations for ranking
What goes where?
Combining characteristic and quick table calculations
Adding details without noise
Breaking out by customer type
KPIs and time segments
Charting station KPIs
From bubbles to donuts
Analyzing our results

Expand your Tableau toolbox with groups, sets, and parameters. You'll create groups using Lasso selection and Calculated Fields. You'll also use Parameters to enable users to dynamically input changes to your visualizations. Finally, you'll create Sets and compare your findings to an external weather data source.

Groups
Groups for regions
Lasso selection
Editing groups
Creating seasonal groups
Seasons
Ranking dashboard
Embedding in the tooltip
Parameters and sets
Parameter characteristics
Parameters
Replacing rank with a parameter
Color by parameter
Sets
Set for windiness
Divvy trips and windiness
Divvy trips and temperature
Wrap up!

Creating Dashboards in Tableau

Dashboard-driven Development

Dashboards are a must-have tool in today’s data-driven world. By combining curated data visualizations, dashboards allow users to interpret and ask their own questions of data. By reducing the time to insight and empowering business analysts, dashboards can have a big impact on business performance.Tableau's dashboarding abilities are powerful and easy to use.

Learning Best Practices

In this course, you'll learn to apply dashboard-composition best practices, add interactive or explanatory elements, and use dashboard actions to make your dashboard interactive. Additionally, you'll learn to modify an existing dashboard layout for mobile devices to share as an image or a PDF.

Finally, you'll learn how to share your data story through Tableau's story functionality.

2 Modules | 3 Hours | 2 Skills

Course Modules

Learn the best practices to creating your own Tableau dashboard. You'll iteratively improve the dashboard with the use of dashboard objects like containers and dashboard actions, which add interactivity.

Creating dashboards
The value of dashboards
Getting started
Building a simple dashboard
Improving your dashboard
Including user KPIs in the dashboard
Adding elements to the dashboard
Annotating your dashboard
Using a dynamic title
Dashboard objects and actions
Dashboard object or action?
Working with containers
Layout with containers
Cleaning up the legend
Dashboard interactivity
Applying filters to worksheets
Updating the tooltip
Putting it all together

Get to know more about Tableau's story functionality and learn to share your data insights. You’ll also learn to prepare dashboards for mobile layouts and share them in different file formats, like PDFs and images.

Sharing data insights
Essential elements of an analytical presentation
Creating and formatting Story Points
Comparing subscribers and customers
Adding annotations
Advanced manipulations with Story Points
Side by side dashboards in Story Points
Highlighter pen
Sharing dashboards - mobile and exports
Exporting formats
Customizing for mobile users
Previewing mobile layout
Customizing a mobile layout
Mobile navigation and export options
Implementing navigation

Case Study: Analyzing Customer Churn in Tableau

Are you ready to apply your Tableau skills to a real-world dataset?

Apply your Tableau skills with a Case Study

For subscription-based businesses, reducing customer churn is a top priority. In this Tableau case study, you'll investigate a dataset from an example telecom company called Databel and analyze their churn rates.

Understand why customers churn

Analyzing churn doesn’t just mean knowing what the churn rate is: it’s also about figuring out why customers are churning at the rate they are, and how to reduce churn. You'll answer these questions by creating calculated fields and various visualizations in Tableau, such as dual-axis graphs and scatter plots. You'll make your graphs dynamic by using filters and parameters, and combine everything into a story to share your insights.

3 Modules | 4+ Hours | 3 Skills

Course Modules

In this first module, you'll start exploring the new dataset and revisit creating calculated fields in Tableau to get a better understanding of why customers are churning.

Analyzing customer churn in Tableau
Tableau analysis process
Data check time
Calculating churn
Investigating churn reasons
Digging deeper in churn categories
Use maps to your advantage

You'll continue by leveraging the Tableau knowledge you gained from the prerequisite courses to further investigate why customers are leaving Databel.

Zooming out
Analyzing demographics
Age bins
Inspecting groups
Parameters
Unlimited plan
International calls
Advice to Databel
Contract type

In the last module, you'll create Tableau interactive dashboards and arrange them into stories, so that you can share your results with stakeholders.

Creating a cohesive story
Dashboarding best practices
Overview dashboard
Age brackets & groups
Payment method and contract type
International and data plan
Story time!
Wrap-up
Saving your work

Case Study: Analyzing Job Market Data in Tableau

Utilize Your Skills with a Tableau Case Study

In this Tableau case study, you’ll explore a real-world job posting dataset to uncover insights for a fictional recruitment company called DataSearch. Using what you’ve learned from previous courses, you’ll use visualization techniques to investigate the data to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Use Tableau to Gain Data Insights

You’ll start by importing and cleaning a dataset, making sure it’s prepared for data exploration. You’ll then use filters and calculated fields to build insightful visualizations of your findings, allowing for trend analysis.

Create Tableau Dashboards to Present Your Work

Finally, you’ll bring it all together using Tableau's powerful dashboard capabilities so that you can answer questions for the DataSearch team.

By practicing the techniques you’ve learned so far, this Tableau case study gives you the chance to get some hands-on practice with a dataset. Once you’ve finished the course, you’ll be more confident using Tableau to present your data insights.

3 Modules | 4+ Hours | 3 Skills

Course Modules

You'll start this Tableau case study by importing and cleaning the job posting dataset and checking for missing values. Once you’ve done this, it’s time to roll up your sleeves and do some initial data exploration.

Job market analysis in Tableau
EDA questions to ask
Importing data
Initial EDA
Job postings trend analysis
Data filtering of job titles
Salary vs. years of experience
Trends found with EDA

In this module, you’ll continue to apply your Tableau skills to extract data insights with filtering techniques, interesting visualizations, and trend analysis. The DataSearch team still needs answers. Luckily, they have you on their team!

Market insight analysis
Key insights to focus on
Job skills analysis
Demand vs. supply by experience level
Column splitting
Deep dive into key job descriptions
Trends from analysis

It’s almost time to hand over the final deliverable. In this final module, you’ll combine all of the job-related insights you’ve discovered into an interactive Tableau dashboard for the DataSearch team.

Building job market analysis dashboard
How to design a dashboard
Creating your first dashboard
Adding KPIs
Less is more
Adding the last visual
Final clean up and insights
Case study wrap-up

Statistical Techniques in Tableau

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Use Built-in Statistical Functions

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Perform EDA and Create Regression Models

Using drag and drop analytics, you'll learn how to perform univariate and bivariate exploratory data analysis and create regression models to spot hidden trends.

Apply Machine Learning Techniques

Working with real-world datasets, you’ll also use machine learning techniques such as clustering and forecasting. It’s time to dig deeper into your data!

4 Modules | 5+ Hours | 4 Skills

Course Modules

Exploratory data analysis, or EDA, is a fundamental step when doing data research. Getting the first insights of your data is easy in Tableau: you’ll be creating and interpreting tables, bar plots, histograms, and box plots in no time!

Introduction!
Interpreting histograms
EDA in Tableau: tables and bar plots
Superstore data: table
Superstore data: bar plot
EDA in Tableau: histograms
Superstore data: histogram promo
Superstore data: histogram bin size
Box plots and distribution characteristics
Which visualization should you choose?
EDA in Tableau: box plots
Superstore data: boxplot
Superstore data: compare box plots

In this more conceptual module, you’ll dive deeper into the use of different measures of center and spread, and how they should be used in Tableau. You’ll learn about the use of the summary card, the difference between sample and population, and how variance, standard deviation, and confidence intervals can be calculated and visualized.

Measures of spread
Statistics: true of false
Tableau: summary cards and spread
Superstore data: summary card
Superstore data: standard deviation
Bonus question: sample vs population
Superstore data: variance
Standard error and confidence intervals
A bunch of statistics and estimates
Tableau: adding lines and distribution bands
Superstore data: high workload
Superstore data: confidence intervals
Superstore data: mean or median?

It's time to look at two variables at a time. Describing the relationship between two variables, or regression, is a great way to spot trends in your data. You'll learn how to find the best trend line, describe the trend model, and predict future observations, using dinosaur data!

The relationship of two variables
Guess the correlation
Tableau: trend lines
Dinosaurs: what to predict?
Dinosaurs: how to disaggregate?
Dinosaurs: adding a trend line
Assessing a trend line
Model predictions: rigorous or randomness?
Tableau: describing trend models
Dinosaurs: model summary
Dinosaurs: model by clade
Dinosaurs: confidence intervals

In this last module, you’ll explore two more advanced statistical techniques: forecasting and clustering. Forecasting helps you detect recurring patterns in your time-series data, and can predict how these patterns will change in the future. With clustering, you’re able to detect patterns in unlabeled data, allowing you to slice and dice your dataset to reveal hidden insights.

Forecasting
Forecasting: true or false?
Tableau: forecasting
T-shirt sales: first forecast
T-shirt sales: aggregating
T-shirt sales: forecast adjustments
Clustering
To cluster or not to cluster?
Tableau: clustering
World indicators: clustering countries
World indicators: describing clusters
World indicators: mapping the clusters
World indicators: cluster results
Wrap up!

DATA ANALYTICS WITH TABLEAU COST

United States

$349.99

United Kingdom

£299.99

Career and Certifications

GreaterHeight Academy's Certificate Holders also prepared work at companies like:

Our Advisor is just a CALL away

+1 5169831065 +447474275645

Available 24x7 for your queries

Talk to our advisors

Our advisors will get in touch with you in the next 24 hours.

Get Advice

FAQs

Data and Business Analytics With Tableau

This Tableau course is for anyone who works with data regardless of technical or analytical background. Users can create and distribute interactive and shareable dashboards that depict large volumes of data into easily readable graphs and charts. GreaterHeight Academy’s online classes are designed to help you prepare for the Tableau Desktop Certified Associate Certification examination by providing you with rich hands-on training on various Tableau tools. This Tableau training course is a stepping-stone to your Business Intelligence journey. Throughout this course, you will get an opportunity to work on multiple Tableau projects.

There are no prerequisites for this online Tableau training course. However, prior knowledge of SQL Essentials as pre-requisites in your LMS.

SQL Essentials

GreaterHeight Academy’s Tableau Training Course is designed to help you become a successful Tableau Professional. During this course, our expert instructors will train you to-Gain an understanding on how data can be transformed by cleaning, splitting, pivoting, and merging techniques.

Understand how to establish connection with data and perform various data preparation steps for visualizing it.
Discover new ways of analyzing data, through various features in-built within Tableau.
Create personalized, dynamic visualizations through parameters.
Develop interactive dashboards using actions.
Explore good design practices for dashboards.
Learn how to publish and share dashboards, as well as manage permissions for published data.
Gain extensive hands-on expertise on various tips and tricks with Tableau.

The Business Intelligence market is growing significantly across the world and such strong growth pattern followed by market demand is a great opportunity for the following IT Professionals.

Business Analysts
Data Analysts
Project Managers
Data Scientists
Statisticians and Analysts
Business Intelligence Managers

Tableau Certification Training Cost in USA, UK and NIGERIA is £300.

All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

After completing the Tableau Course successfully, GreaterHeight Academy provides a course completion certificate for Tableau, which is valid for a lifetime.

With your email address and mobile number, you can start enrolling in the Tableau Course through our website. You can utilize online payment options, such as Visa Credit or debit card, Master Card, American Express, etc. Before making the payment, verify the batch information.

Tableau is becoming one of the most popular trends in the Business Intelligence market. This data visualization tool has been gaining popularity in various companies, so the demand for Tableau experts is on the rise. At GreaterHeight Academy, we offer the best online Tableau course with over 12,000 satisfied learners.

The title of Tableau Desktop Specialist has no expiration once you have achieved it.

Exam Pattern for Tableau Desktop Certified Associate Exam

Time Limit: 2 hours; please plan for extra time for online exam setup.
Question Format: Multiple choice, true/false, multiple responses, hands-on
Number of Questions: 36
Scoring: Automatically scored; point value varies per question type with hands-on worth more
Passing score: 75%
Language(s) Offered: English, Simplified Chinese, Japanese, German, Brazilian Portuguese, French, International Spanish.
Delivery Platform: Windows Virtual Machine containing Tableau Desktop Source:
https://www.tableau.com/learn/certification/desktop-certified-associate

Yes, we would be providing you with the certificate of completion of the program once you have successfully submitted all the assessment and it has been verified by our subject matter experts.

OUR POPULAR COURSES

Data Analytics and Visualization With Python

Advanced developments of expertise in cleaning, transforming, and modelling data to obtain insight into corporate decision making as a Senior Data Analyst - Using Python.

View Details

Data Science Training Masters Program

Learn Python, Statistics, Data Preparation, Data Analysis, Querying Data, Machine Learning, Clustering, Text Processing, Collaborative Filtering, Image Processing, etc..

View Details

Microsoft Azure DP-100 Data Science

You will Optimize & Manage Models, Perform Administration by using T-SQL, Run Experiment & Train Models, Deploy & Consume Models, and Automate Tasks.

View Details

Machine Learning using Python

Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on.

View Details

Microsoft Azure PL-300 Data Analysis

You will learn how to Design a Data Model in Power BI, Optimize Model Performance, Manage Datasets in Power BI and Create Paginated Reports.

View Details

Microsoft Azure DP-203 Data Engineer

You will learn Batch & Real Time Analytics, Azure Synapse Analytics, Azure Databricks, Implementing Security and ETL & ELT Pipelines.

View Details

The GreaterHeight Advantage

0+

Accredited Courseware

Most of our training courses are accredited by the respective governing bodies.

0+

Assured Classes

All our training courses are assured & scheduled dates are confirmed to run by SME.

0+

Expert Instructor Led Programs

We have well equipped and highly experienced instructors to train the professionals.

OUR CLIENTS

We Have Worked With Some Amazing Companies Around The World

Our awesome clients we've had the pleasure to work with!

Data Analytics & Visualization With TABLEAU

Data Analytics & Visualization With TABLEAU

Course Benefits & Key Features

Data Analysis with Tableau’s benefits and key features.

Modules

Lessons

Practical

Life Projects

Resume

Job

Recording

Interviews

Support

Membership

Networks

Certification

INSTRUCTOR-LED LIVE ONLINE CLASSES

Tableau Skills Covered

Tableau Tools Covered

Why Data Analytics With Tableau?

Learn In-demand Skills

Earn a Higher Salary

Positive Job Outlook

Shape the Future

Become a Leader

Data Analysis are Constantly Evolving

GreaterHeight Certificates holders are prepared to work at companies like these.

Some Alumni Testimonies

QUEEN OBIWULU

BISOLA OGUNRO

TUNDE MEREDITH

JOHN OSI PETER

AYODELE PAYNE

ADEBAYO OLADEJO

Data Analytics & Visualization With Tableau Course

Tableau for Data Analysis & Visualization

Module 1: Getting Started with Tableau

Module 2: IBuilding and Customizing Visualizations

Module 3: Digging Deeper

Module 4: Presenting Your Data

Module 1: Combining and Saving Data

Module 2: Managing and Connecting Data

Module 1: Start to Calculate!

Module 2: Level of Detail Expressions

Module 3: Table Calculations and Parameters

Module 4: Time Series Analysis

Module 1: Preparing for Analysis

Module 2: Exploring Visualizations

Module 3: Mapping Analysis

Module 4: Groups, Sets, and Parameters

Module 1: Getting Started With Dashboards

Module 2: Sharing Data Insights

Module 1: Exploratory Analysis

Module 2: Investigating Churn Patterns

Module 3: Visualizing your Analysis

Module 1: Exploratory Analysis

Module 2: Analyzing Market Trends

Module 3: Dashboards and Insights

Module 1: Univariate Exploratory Data Analysis

Module 2: Measures of Spread and Confidence Intervals

Module 3: Bivariate Exploratory Data Analysis

Module 4: Forecasting and Clustering

DATA ANALYTICS WITH TABLEAU COST

United States

United Kingdom

Career and Certifications

Our Advisor is just a CALL away

+1 5169831065 +447474275645

Available 24x7 for your queries

Talk to our advisors

Data and Business Analytics With Tableau

About Tableau Training Course

What are the prerequisites for this Tableau course?

What will Participants Learn in the Tableau course?

Who should take this Tableau Training Course?

How much does the Tableau Course Cost?

What If I miss my online training class?

Who provides the Tableau certification, and how long is it valid?

How do I enroll in this Tableau Course?

How this Tableau Certification will help you in career?