Data Analytics Bootcamp
  • Syllabus
  • Statistical Thinking
  • SQL
  • Python
  • Tableau
  • Lab
  • Capstone
  1. Tableau
  • Syllabus
  • Statistical Thinking
    • Statistics
      • Statistics Session 01: Data Layers and Bias in Data
      • Statistics Session 02: Data Types
      • Statistics Session 03: Probabilistic Distributions
      • Statistics Session 04: Probabilistic Distributions
      • Statistics Session 05: Sampling
      • Statistics Session 06: Inferential Statistics
      • Slides
        • Course Intro
        • Descriptive Stats
        • Data Types
        • Continuous Distributions
        • Discrete Distributions
        • Sampling
        • Hypothesis Testing
  • SQL
    • SQL
      • Session 01: Intro to Relational Databases
      • Session 02: Intro to PostgreSQL
      • Session 03: DA with SQL | Data Types & Constraints
      • Session 04: DA with SQL | Filtering
      • Session 05: DA with SQL | Numeric Functions
      • Session 06: DA with SQL | String Functions
      • Session 07: DA with SQL | Date Functions
      • Session 08: DA with SQL | JOINs
      • Session 09: DA with SQL | Advanced SQL
      • Session 10: DA with SQL | Advanced SQL Functions
      • Session 11: DA with SQL | UDFs, Stored Procedures
      • Session 12: DA with SQL | Advanced Aggregations
      • Session 13: DA with SQL | Final Project
      • Slides
        • Intro to Relational Databases
        • Intro to PostgreSQL
        • Basic Queries: DDL DLM
        • Filtering
        • Numeric Functions
        • String Functions
        • Date Functions
        • Normalization and JOINs
        • Temporary Tables
        • Advanced SQL Functions
        • Reporting and Analysis with SQL
        • Advanced Aggregations
  • Python
    • Python
      • Session 01: Programming for Data Analysts
      • Session 02: Python basic Syntax, Data Structures
      • Session 03: Introduction to Pandas
      • Session 04: Advanced Pandas
      • Session 05: Intro to Data Visualization
      • Session 06: Data Visualization
      • Session 07: Working with Dates
      • Session 08: Data Visualization | Plotly
      • Session 09: Customer Segmentation | RFM
      • Session 10: A/B Testing
      • Session 11: Cohort Analysis
      • Session 12: Simple Linear Regression and Forecasting
      • Session 13: Logistic Regression
      • Session 14: Clustering
      • Session 15: Geoanalytics
      • Session 16: SQL Alchemy
      • Slides
        • Grammar of Graphics
        • Data Analyst
  • Tableau
    • Tableau
      • Tableau Session 01: Introduction to Tableau
      • Tableau Session 02: Intermediate Visual Analytics
      • Tableau Session 03: Advanced Analytics
      • Tableau Session 04: Dashboard Design & Performance
      • Slides
        • Data Analyst
        • Data Analyst
        • Data Analyst
        • Data Analyst

Tableau

Tableau

Tableau Session 01: Introduction to Tableau

This session introduces the foundations of Tableau, a leading platform for interactive data visualization and business intelligence.

Tableau Session 02: Intermediate Visual Analytics

This session moves from basic chart building to analytical modeling and interactive dashboard design.

Tableau Session 03: Advanced Analytics

In previous sessions, we focused on building visualizations, working with filters and parameters, and creating calculated fields. We also introduced key concepts such as…

Tableau Session 04: Dashboard Design & Performance

Strorytelling, Color Theory, UX Principles For Dashboard Design
This session focuses on how to design dashboards that are clear, beautiful, and performant.
Students learn the foundations of visual storytelling, color theory, UX…
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