About Course

Data and information visualization is the graphical communication of data and information for the purposes of presentation, confirmation, exploration, and analysis. Images can be used to convey numbers, concepts, and relationships using techniques such as maps, icons, graphs, and other visual forms. In the past decade, visualization has evolved into a discipline, drawing from such fields as computer graphics, human-computer interaction, perceptual psychology, and art. The emphasis of the course will be on exposing students to the current research issues and on identifying potential research topics in data visualization as it applies to large-scale big data systems. Data visualization, which is sometimes called information visualization, is the representation of datasets through graphical means such as charts, maps, visual analytics interfaces such as dashboards, and interactive visualizations

Course Syllabus

Module - 1

Introduction to Statistical Analysis: Counting, Probability, and Probability Distributions , Sampling Distributions , Estimation and Hypothesis Testing , Scatter Diagram , Anova and Chisquare , Imputation Techniques , Data Cleaning , Correlation and Regression.

Module-2

Introduction to Data Analytics , Data Analytics Overview , Importance of Data Analytics , Types of Data Analytics , Descriptive Analytics , Diagnostic Analytics ,Predictive Analytics , Prescriptive Analytics , Benefits of Data Analytics , Data Visualization for Decision Making , Data Types, Measure Of central tendency, Measures of Dispersion , Graphical Techniques, Skewness & Kurtosis, Box Plot , Descriptive Stats , Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval.

Module - 3

Tableau: Start Page,Show Me, Connecting to Excel Files, Connecting to Text Files , Connect to Microsoft SQL Server , Connecting to Microsoft Analysis Services , Creating and Removing Hierarchies , Bins , Joining Tables ,Data Blending. Learn Tableau Basic Reports , Parameters , Grouping Example 1  Grouping Example 2 Edit Groups , Set , Combined Sets , Creating a First Report ,Data Labels , Create Folders , Sorting Data , Add Totals, Sub Totals and Grand Totals to Report

Module - 4

Learn Tableau Charts: Area Chart , Bar Chart , Box Plot , Bubble Chart , Bump Chart Bullet Graph , Circle Views , Dual Combination Chart , Dual Lines Chart , Funnel Chart , Traditional Funnel Charts , Gantt Chart , Grouped Bar or Side by Side Bars Chart , Heatmap , Highlight Table , Histogram , Cumulative Histogram , Line Chart , Lollipop Chart , Pareto Chart , Pie Chart , Scatter Plot , Stacked Bar Chart , Text Label , Tree Map , Word Cloud , Waterfall Chart Learn Tableau Dashboards: Create a Dashboard , Format Dashboard Layou , Create a Device Preview of a Dashboard , Create Filters on Dashboard , Dashboard Objects , Create a Story

Module - 5

Power BI :Introduction to Power BI , Get Started with Power BI , Overview: Power BI concepts , Sign up for Power BI , Overview: Power BI data sources , Connect to a SaaS solution , Upload a local CSV file , Connect to Excel data that can be refreshed , Connect to a sample , Create a Report with Visualizations , Explore the Power BI portal. , Viz and Tiles , Overview: Visualizations  Using visualizations , Create a new report , Create and arrange visualizations , Format a visualization , Create chart visualizations , Use text, map, and gauge visualizations and save a report , Use a slicer to filter visualizations , Sort, copy, and paste visualizations , Download and use a custom visual from the gallery Reports and Dashboards , Modify and Print a Report , Rename and delete report pages , Add a filter to a page or report, Set visualization interactions , Print a report page , Send a report to PowerPoint  Create a Dashboard

References

1.Ward, M., Grinstein, G. G., & Keim, D. (2015). Interactive Data Visualization : Foundations, Techniques, and Applications, Second Edition (Vol. Second edition). Boca Raton: A K Peters/CRC Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=edslive&db=edsebk&AN=1763678 2.https://github.com/topics/data-visualization 3.https://github.com/showcases/data-visualization 4.https://github.com/topics/visualization-tools