Hari Thapliyaal

Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master’s degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set. With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management. In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights. Hari’s professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.

2 minute read

Tableau

Tableau

A brief summary of the topics covered in this Tableau course is as below. This is 16 hours course, it is suggested to complete this course in 1 week.

Basic Visualization using Tableau

  • Introduction to Tableau
  • Introduction to UI Interface
  • What is Data Analytics?
  • Why Data Visualization?
  • Why Tableau?
  • Tableau vs Excel and Power BI
  • Exploratory vs Explanatory Analysis
  • Getting Started with Tableau

Introduction and installation

  • Dashboarding & storytelling using Tableau
  • Talking about Business Intelligence
  • Tools and Methodologies used in BI
  • Why Visualization is getting more popular
  • Tableau Products
  • Tableau Architecture
  • BI Project Execution
  • Tableau Installation in local system
  • Introduction to Tableau Prep
  • Tableau Prep Builder User Interface
  • Data Preparation techniques using Tableau Prep Builder tool
  • How to connect Tableau with different data source

Visualizing and Analyzing Data with Tableau

  • Introduction
  • Bar Charts
  • Line Charts and Filters
  • Area Charts
  • Box Plots and Pivoting
  • Maps and Hierarchies
  • Pie Charts
  • Treemaps and Grouping
  • Dashboards – I
  • Visual Segments
  • Visual Analytics in depth
  • Filters, Parameters & Sets
  • Tableau Calculations using functions
  • Tableau Joins
  • Working with multiple data source (Data Blending)
  • Building Predictive Models
  • Dynamic Dashboards and Stories
  • Sharing your Reports
  • Tableau Server
  • User Security
  • Scheduling
  • Joins and Splits
  • Numeric and String Functions
  • Logical and Date Functions
  • Histograms and Parameters
  • Scatter Plots
  • Dual Axis Charts
  • Top N Parameters and Calculated Fields
  • Stacked Bar Charts
  • Dashboards – II and Filter Actions
  • Storytelling
  • Batting Performance Analysis
  • Additional Reading
  • Connecting to MySQL Workbench

LOD (Level of Details)

Data Mining With Tableau

  • Get the Dataset + Project Overview
  • Connecting Tableau to an Excel File
  • How to visualize an ad-hoc A-B test in Tableau
  • Working with Aliases
  • Adding a Reference Line
  • Looking for anomalies
  • Handy trick to validate your approach / data
  • Creating bins & Visualizing distributions
  • Creating a classification test for a numeric variable
  • Combining two charts and working with them in Tableau
  • Validating Tableau Data Mining with a Chi-Squared test
  • Chi-Squared test when there is more than 2 categories
  • Visualising Balance and Estimated Salary distribution
  • Chi-Squared Test
  • Section Recap

Data Storytelling

  • Introduction to Data Storytelling
  • Introduction to the Module
  • Pre-Read Assignment
  • What is Data Storytelling?
  • Importance of Data Storytelling
  • Characteristics of a Good Story with Data
  • What Makes Data Storytelling Difficult?

Components of a Good Story with Data

  • Essential Components of a Good Story with Data
  • Importance of Objective and Agenda
  • Five Patterns of Insights
  • Analysis Approach: Deriving New Columns
  • Analysis Approach: Summarizing Rows
  • Insight Overview
  • Structure and Flow
  • Pyramid Principle
  • Visuals
  • Importance of Visualization
  • Visualization of Quantitative Data
  • Visualization of Qualitative Variables
  • Visualization of Other Types of Information
  • Visualization of Advanced Analytical Techniques

Golden Rules for an Effective Data Storytelling

  • Introduction
  • Visual Design Principles and Storyboarding
  • Best Practices for Data Storytelling
  • Ideal Solution for the Home Loans Case Study

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