Data Visualization and Introduction to Tableau
Objective: In this module, you will learn about Data Visualization and Introduction to Tableau.
Topics: Why is Data Visualization needed, How to analyse data, Uses of Tableau, Installation of Tableau, Architecture of Tableau, Features of Tableau
Objective: In this module, you will learn to connect to the databases and make basic charts and graphs.
Topics: Exporting Data, Connecting Sheets, Loading into Tableau visualization engine, Basic visualizations like Text Tables, Bar, Line, Pie charts, Basic maps and interpreting the same
Objective: In this module, you will learn to make Advance Charts and Graphs.
Topics: Highlight Tables, Heat Maps, Circle Plots, Side by Side Bars, Basic maps and interpreting the same
Objective: In this module, yo will learn scripting functionality and organizing data for effective results.
Topics: Calculated Metrics: Sorting, Filtering, Totals and Sub Totals, Various Aggregated Measures, Percentages, Data Spotlighting, Summary Card, Functions: Date and time functions, String Functions and logical functions, Data Items, Data behind your views, Hierarchies, Sets, Groups, Bins
Objective: In this module, you will learn about advanced visualization.
Topics: Dual Charts, Dual Axis, Combination charts & Gantt Charts for activity tracking, Motion Charts, Box and Whisker Plots, Reference Lines, Reference Bands, Pareto Analysis, Water Fall Charts, Market Basket Analysis.
Objective: In this module, you will learn to create Time based calculations.
Topics: Quick Table Calculations, Custom Table Calculations, YTD, Parallel Period, Moving Averages, Running totals, Window Averages, Trend Lines and Predictive Models.
Objective: In this module, you will learn about location analytics capabilities to put geographic and other spatial context to your analysis.
Topics: Filled Maps, Symbol Maps, Geo Coding, Online Maps, Sorting in Maps, Background Maps.
Objective: In this module, you will learn how to blend and arrange your data from multiple source systems for effective analysis.
Topics: Data Blending from multiple source systems, Custom SQL Queries, Creating Incremental Loads, Creating File Extractions, Parameters.
Objective: In this module, you will learn Integration of Tableau with R and Hadoop, Statistical Analytics, and social media analytics.
Topics: Connect to Hadoop Systems from Tableau, Integrating Tableau with R, Connecting to R Serve Parameterized R calls, Mean, Median, & Mode, Standard Deviation, Forecasting Models, Adding YouTube videos.
Objective: In this module, you will learn how to work in real time environment on Tableau Projects.
Topics: Mini end-end project with Business case study, Interactive Dashboards, Action Filters, Story Boards, Best Practices, Cover Pages, Annotations, Tool Tips, keyboard short cuts, Legends, Sharing your work, Deploying to server, Tableau Online, Tableau Reader, Tableau Public.
Online live courses have become extremely popular due to the following reasons:
On enrollment, each student is given access to a personalized LMS - Learning Management System. This features your class recordings, presentations, assignments, installation guides, data-sets, quizzes, forums and project documents.
This LMS access is for life-time.
We have a 24/7 support team featuring expert professionals with at least 3 years of experience in the specific technology. In addition to this, they're also given soft-skills training to ensure the best possible experience for you.
The support team is accessible via phone, email, live chat & video-calls. Please note, this is a lifetime facility. Even after course completion you can access the support facilities.
We are only happy, if you are happy. If you have any reason to doubt the content, delivery & expertise of our program, you are eligible for a 100% refund within 7 days of enrollment.
Your payment only comes into our accounts after 7 days, thus ensuring that your refund will be immediately processed.
If you enroll for 2 or more courses at once; your refund policy only stands till the completion of the first course.
We offer 100% placement assistance to its learners who are open to new job opportunities:
Note: Learnests offers placement assistance to every learner who wishes to look at career opportunities. However, we do not offer any job guarantee.
During this course; you will be provided with 5 live industry grade projects. Each project will feature data-sets, use-cases & guides from the following industries:
It will take you an average of 10 hours to complete each project.
Each student will be given a certification of course completion only after they finish the classes as well as their projects. The grade will be based on their performance as judged by the instructor. This certificate is recognized by all our corporate partners.