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CYC ANALYTICS
Home
DATA ANALYTICS
  • Data
  • Class Day Preview
  • About Us
  • Course Details
  • Project Based Mentorship
  • Students Reviews
  • Contact Us
PROJECT MANAGEMENT
  • PROJECT CONTROLS
  • PROGRAM DETAILS
  • ENROLL
  • CURRICULUM
  • JOIN FREE WEBINAR
More
  • Home
  • DATA ANALYTICS
    • Data
    • Class Day Preview
    • About Us
    • Course Details
    • Project Based Mentorship
    • Students Reviews
    • Contact Us
  • PROJECT MANAGEMENT
    • PROJECT CONTROLS
    • PROGRAM DETAILS
    • ENROLL
    • CURRICULUM
    • JOIN FREE WEBINAR

  • Home
  • DATA ANALYTICS
    • Data
    • Class Day Preview
    • About Us
    • Course Details
    • Project Based Mentorship
    • Students Reviews
    • Contact Us
  • PROJECT MANAGEMENT
    • PROJECT CONTROLS
    • PROGRAM DETAILS
    • ENROLL
    • CURRICULUM
    • JOIN FREE WEBINAR

In 5 weeks, you will take an interactive, beginner friendly, and hands-on course designed to teach you Tableau Data Analysis from scratch. 

Learn to connect, transform, visualize real world data, and build interactive dashboards with confidence. 

NO EXPERIENCE NEEDED!!!

COURSE CURRICULUM

Payment can be submitted in full or using a Bi-weekly Payment Plan. Click below to open the payment plan option. 

Payment can be submitted via Zelle or Cashapp if preferred. Contact 540-429-3940 for more details.

SIGN UP FOR TABLEAU ONLY
BUY TABLEAU CLASS RECORDINGS ONLY

COURSE CURRICULUM

Week 1 – Getting Started with Tableau

  • Introduction to Tableau interface
  • Connecting to different data sources (Excel, CSV, SQL, etc.)
  • Exploring dimensions vs. measures
  • Building your first simple charts

Week 2 – Visual Analytics Basics

  •  Bar charts, line charts, pie charts, maps
  • Sorting, filtering, and grouping data
  • Using basic calculations in Tableau
  • Creating dashboards with multiple visuals

Week 3 – Intermediate Features

  •  Table calculations (running totals, percent of total, rankings)
  • Parameters and calculated fields
  • Using hierarchies and drill-down
  • Dashboard design principles

Week 4 – Advanced Visualizations

  •  Heatmaps, scatter plots, and dual-axis charts
  • Trend lines and forecasting
  • Combining data with joins and blends
  • Interactive dashboards with filters and actions

Week 5 – Real-World Projects & Publishing

  •  Building a complete dashboard project (end-to-end)
  • Storytelling with data
  • Publishing and sharing dashboards (Tableau Public/Server)
  • Final project presentation

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