Online Professional Development Course on Data Analysis and Visualization (with Tableau)

Course Overview:
This hybrid 5-day program blends on-site collaboration with online learning to equip professionals with end-to-end skills in data analysis, visualization, and storytelling using Tableau, the industry-leading visualization tool. Participants will progress from foundational statistical concepts to advanced dashboard design, culminating in a capstone project that synthesizes technical expertise with persuasive presentation skills. Designed for hands-on learning, the course integrates real-world datasets, interactive labs, and personalized coaching to transform raw data into actionable insights for decision-makers.

Learning Objectives:
By the end of this course, participants will be able to:

1. Clean and Prepare Data: Use Tableau Prep to manage missing values, outliers, and data structuring for analysis.
2. Apply Statistical Techniques: Conduct hypothesis testing, time-series forecasting, and inferential analysis to drive data-driven conclusions.
3. Design Interactive Dashboards: Create visually compelling, user-friendly Tableau visualizations (charts, maps, graphs) that highlight key trends.
4. Communicate Insights Effectively: Translate complex findings into clear, stakeholder-focused narratives using storytelling principles.
5. Solve Real-World Problems: Address business or policy challenges through a capstone project, from data exploration to presentation.

Course Fees: 1250 USD, 

Early Bird Fees 1100 USD : Apply by 6th June 2025

Course Structure:

Day 1 (On-Site): Foundations of Data Exploration

• Session 1: Orientation & Data Familiarization
  • Introduction to the data lifecycle and course tools (Tableau, Excel).
  • Hands-on activity: Profiling datasets to identify variables, patterns, and quality issues.
• Session 2: Data Ethics & Governance
  • Best practices for data privacy, bias mitigation, and reproducible workflows.

Day 2 (Online): Statistical Analysis & Visualization Basics

• Session 1: Descriptive Statistics & Inference
  • Calculating measures of central tendency, dispersion, and confidence intervals.
  • Hypothesis testing: t-tests, ANOVA, and p-value interpretation.
• Session 2: Time-Series Analysis & Forecasting
  • Trend decomposition, seasonality adjustment, and ARIMA basics.
  • Lab: Predicting sales or economic trends using historical data.

Day 3 (Online): Data Wrangling & Visualization with Tableau

• Session 1: Data Preparation in Tableau Prep
  • Cleaning, blending, and transforming data for analysis.
• Session 2: Advanced Tableau Visualization
  • Designing interactive dashboards: Parameters, filters, and calculated fields.
  • Best practices for color theory, layout, and accessibility.

Day 4 (Online): Coaching & Storytelling

• Session 1: Group Coaching
  • Personalized feedback on capstone projects (data gaps, model refinement).
• Session 2: Data Storytelling Workshop
  • Crafting narratives with the "STAR" framework (Situation, Task, Analysis, Result).
  • Tailoring presentations to technical vs. non-technical audiences.

Day 5 (On-Site): Capstone Presentations & Graduation

• Group Presentations: Teams showcase capstone projects, highlighting problem-solving, analysis, and visualization skills.
• Feedback & Awards: Peer reviews, instructor critiques, and certificate ceremony.

Key Features:

• Blended Learning: Combines in-person collaboration with flexible online modules.
• Capstone Project: Solve a real business/policy challenge (e.g., customer segmentation, policy impact analysis).
• Tool Mastery: From Tableau Prep (data cleaning) to Tableau Desktop (advanced dashboards).
• Industry-Ready Skills: Focus on stakeholder communication, ethical analysis, and reproducibility.
• Take-Home Toolkit: Access to datasets, Tableau templates, and curated resources.

Who Should Attend:

• Data analysts, business intelligence professionals, and marketers.
• Policy analysts, NGO staff, and researchers seeking to visualize impact.
• Managers and academics wishing to interpret or present data effectively.

Prerequisites: Basic Excel proficiency and familiarity with data concepts. No prior Tableau experience required.

Certification: Awarded upon attendance and successful capstone project completion.

Duration: 5 days (3 online, 2 on-site), with 20+ hours of instruction, labs, and coaching.

Outcome: Graduates will leave capable of leading data-driven projects, designing persuasive visualizations, and influencing decisions with clarity and confidence.

This course bridges the gap between technical analysis and strategic communication, empowering professionals to turn data into a competitive advantage.