Learn Data Visualization | Tableau Certification Course in Baltimore, MD

Today, organizations everywhere—from non-profits to global enterprises, and across all industries and departments—are empowering their people with Tableau to drive change with data.

As the market-leading choice for modern business intelligence, our analytics platform makes it easier for people to explore and manage data, faster to discover and share insights that can change businesses and the world.

This training focuses on enhancing the utility of Machine Learning, Statistics, Natural Language processing, and smart data preparation to augment human creativity in analysis. We offer a comprehensive integrated analytics platform along with proven resources that enable customers to implement and scale a data-driven culture. This culture fosters resilience and delivers valuable outcomes through powerful insights.

Everything we do is driven by our mission to help people see and understand data, so our products are designed to put the user first—whether they’re analysts, data scientists, students, teachers, executives, or business users. Tableau is the most powerful, secure, and flexible end-to-end analytics platform for connection through collaboration.

• Verizon, Facebook, Dell, General Motors, KPMG, Bank of America, & other 35,000 MNCs worldwide use Tableau across industries
• The average salary of a Tableau professional is $100,000 (Indeed.com)
• Tableau is a Leader in the 2017 Gartner Magic Quadrant for Business Intelligence & Analytics Platforms (5th Consecutive Year)

• 30 hours of classroom/online instructor-led sessions
• Real-life case studies
• 20 hours’ assignments
• Lifetime access
• 24 x 7 expert support
• Completion certification

• Data Integration
• Exploratory Data Analysis
• Data Blending
• Dashboard Creation
• Data Organization
• Data Manipulation
• Advanced Charts

This Tableau training is designed for:

• Analytics professionals
• IT developers and testers
• Data analysts
• Data scientists
• BI and reporting professionals
• Project managers

1. Professionals aspire to a career in the growing and demanding fields of real-time big data analytics
2. Business users and students who want to develop a set of core Tableau Desktop proficiency skills
3. Professionals planning to take the Tableau certification exam

Introduction to Data Visualization

Goal: Give a brief idea of data visualization and introduce Tableau 10

Objectives:

• Identify the prerequisites, goals, objectives, methodology, material, and agenda for the course
• Discuss the basics of Data Visualization
• Get a brief idea about Tableau, establish a connection with the dataset, and perform Joins operation on the dataset

Topics:

• Data Visualization
• Introducing Tableau 10.0
• Establishing Connection
• Joins and Union
• Data Blending

Hands-On:

• Establishing connection with the files, Introducing important UI components (ShowMe, Fit Axes)
• Perform Cross Joins between the dataset

Goal: Learn to manage your dataset and analyze things visually with the help of Marks Card and the “highlighting” feature.

Objectives:

• Manage extracts and metadata (by creating a hierarchy and folders)
• Describe what Visual Analytics is, why to use it, and its various scopes
• Explain aggregating and disaggregating data and how to implement data granularity using mark’s card on aggregated data
• Describe what is highlighted, with the help of a use-case
• Illustrate basic graphs, including bar graphs, line graphs, pie charts, dual-axis graphs, and area graphs with dual-axis

Topics:

• Managing Extracts
• Managing Metadata
• Visual Analytics
• Data Granularity using Marks Card
• Highlighting
• Introduction to basic graphs

Hands-On:

• Creating Extracts, Hierarchy, Folders
• All the features of Mark’s Card Shelve with use case provided
• Power of Highlighting in the visualization using the Use-case
• How to create basic graphs in Tableau10.x

Goal: This module presents to you the granular content of Visual analytics, covering various techniques to perform sorting, filtering, and grouping on the dataset.

Objectives:

• Perform sorting techniques, including quicksort, using measures, using header and legend, and sorting using a pill with the help of a use case.
• Master yourself in various filtering techniques such as Parametrized filtering, Quick Filter, and Context Filter. Learn about various filtering options available with the help of use cases and different scenarios.
• Illustrate grouping using data window, visual grouping, and Calculated Grouping (Static and Dynamic).
• Illustrate more graphical visualization including Heat Maps, Circle Plot, Scatter Plot, and Tree Maps.

Topics:

• Sorting.
• Filtering.
• Grouping
• Graphical Visualization

Hands-On:

• Quick Sort, Sorting using measure, Sorting using header and legends, sorting using pill (use-case).
• Filtering Use cases covering different options (General, Wildcard, Conditional).
• Interactive Filter, Quick Filter, Context Filter.
• Grouping using Data Window, Visual Grouping, and Calculated Grouping (Static and Dynamic).

Goal: This module presents you with Visual analytics in a more granular manner, thereby letting you dive deep into the content. It covers various advanced techniques of analyzing data including, forecasting, trend lines, reference lines, clustering, parametrized concepts, and creating sets.

Objectives:

• Explain the basic concepts of sets, followed by creating sets using Mark's Card, computation sets, and combined sets
• Describe the concepts of forecasting with the help of a Forecasting problem as a use-case
• Discuss the basic concept of clustering in Tableau
• Add Trend lines and reference lines to your visualization
• Discuss parameters in depth using Sets and Filter

Topics:

• Sets
• Forecasting
• Clustering
• Trend Lines.
• Reference Lines.
• Parameters

Hands-On:

• Create sets using Mark’s cards, Computation sets, and Combined sets
• Forecasting using Precise Range
• Methods of clustering
• Adding trend line and reference line (along with various options available for them)
• Parameter using sets and filter

Goal: Learn all about Dashboards and Stories in Tableau

Objectives:

• Describe the basic concepts of the Dashboard and its UI.
• Build a dashboard by adding sheets and objects to it
• Modify the view and layout.
• Edit your dashboard, and how it should appear on phones or tablets.
• Create an interactive dashboard using actions (filter, highlighting, URL).
• Create stories for your Visualization and Dashboards.

Topics:

• Introduction to Dashboard.
• Creating a Dashboard Layout.
• Designing a Dashboard for Devices.
• Dashboard Interaction – Using Action.
• Introduction to Story Point.

Hands-On:

• Creating a Dashboard and learning its UI components.
• Changing the layout of the dashboard.
• Using Device Designer to create a dashboard for devices.
• Create an interactive dashboard using actions (Filter, Highlight, UR).
• Creating a story with a dashboard.

Goal: This module helps you understand mapping in detail, editing unrecognized and ambiguous locations, and creating customized geocoding. Learn about polygon maps and Web Mapping Services, and finally add background images with self-generated coordinates.

Objectives:

• Map the coordinates on the map, plot geographic data, and use a layered view to get the street view of the area.
• Edit the ambiguous and unrecognized location plotted on the map.
• Customize territory in a polygon map.
• Connect to the WMS Server, use a WMS background map, and save it.
• Add a background image, generate its coordinate, and plot the points.

Topics:

• Introduction to Maps.
• Editing Unrecognized Locations.
• Custom Geocoding.
• Polygon Maps.
• Web Mapping Services.
• Background Images.

Hands-On:

• Plot the coordinate points on the map, plotting the geographic data and street View using the layered view.
• Editing Unrecognized and ambiguous location
• Custom Geocoding.
• Creating a custom territory, and building a polygon map.
• Establishing a connection with the WMS Server, a WMS background map, and saving it.
• Adding a background image generates coordinates and finally plotting points.

Goal: This module will help you in creating basic calculations, including string manipulation, basic arithmetic calculations, date math, logic statements, and quick table calculations. Along with this, you will be introduced to LOD expressions with the help of use cases.

Objectives:

• Perform Calculations using various types of functions such as Number, String, Date, Logical, and aggregate.
• In addition, you will get to know about Quick Table Calculation.
• Cover the following LOD expressions – Fixed, Included, and Excluded.

Topics:

• Introduction to Calculation: Number Functions, String Functions, Date Functions, Logical Functions, Aggregate Functions.
• Introduction to Table Calculation.
• Introduction to LOD expression: Fixed LOD, Included LOD, Excluded LOD

Hands-On:

• All Functions (Number, String, Date, Logical, Aggregate)
• Table Calculation.
• LOD expressions.

Goal: This module will explain the scenarios where you can implement LOD expressions. This is showcased with the help of a set of problems.

Objectives:

• Tackle complex scenarios by using LOD expressions.

Hands-On:

• Use Case I – Count Customer by Order.
• Use Case II – Profit per Business Day.
• Use Case III – Comparative Sales.
• Use Case IV – Profit vs Target
• Use Case V – Finding the second order date.
• Use Case VI – Cohort Analysis

Goal: Plot various types of Charts using Tableau 10 and have extensive hands-on on industry use cases.

Topics:

• Box and Whisker’s Plots
• Gantt Charts
• Waterfall Charts
• Pareto Charts
• Control Charts
• Funnel Charts

Hands-On:

• Extensive hands-on on the above topics

Goal: This module introduces you to the concepts of Big Data, Hadoop, and R. You discuss the integration between Tableau and R and finally publish your workbook on Tableau Server.

Objectives:

• You will know the basics of Big Data, Hadoop, and R.
• You will discuss the integration between Hadoop and R and will integrate R with Tableau.
• In addition, you will get to publish your workbook on the Tableau Server.

Topics:

• Introduction to Big Data
• Introduction to Hadoop
• Introduction to R
• Integration among R and Hadoop
• Calculating measures using R
• Integrating Tableau with R
• Integrated Visualization using Tableau

Hands-On:

• Installing the R-serve package in R
• Integrating Tableau and R
• Publishing your workbook on Tableau Server.

A provider of Enterprise Learning Solutions (ELS), Insight Learning creates industry-fit talents through training, coaching, and consulting by globally acclaimed trainers. Much of Insight Learning’s repute in co-creating business value stems from:

• Training delivered in 45+ countries.
• 250+ industry-relevant courses.
• Consulting and coaching to transform organizations.
• Trainers with experience in Retail, E-commerce, Energy & Utilities, etc.
• Best value for time & money invested.
• Get trained at the best fee compared to other vendors
• Discounted fee offered for 5 or more attendees

Name: Jeffrey Adams

Email: [email protected]

Phone: +1 (713)-893-3306

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