AI & Data · Decision-ready data

Data Analytics & Dashboarding

Clean data, write useful queries, discover patterns, and communicate decisions through clear dashboards and reports.

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10 weeksBeginner friendly5 projects
Course overview

Learn the whole workflow, not isolated tricks.

Learn the full analytics loop: clarify the question, inspect and clean data, query it efficiently, choose honest visualizations, build a usable dashboard, and explain what the evidence supports.

What you will be able to do

Clear outcomes you can demonstrate.

Clean and structure messy datasets with a documented process.

Write SQL queries that answer practical product and business questions.

Choose visualizations that communicate patterns without distortion.

Build and present an interactive decision-focused dashboard.

Curriculum

A focused path from foundation to final build.

05Modules

  1. Analytics thinking

    4 topics

    Questions, metrics, dimensions, data quality, stakeholder context, and avoiding misleading conclusions.

    • Metrics
    • Data quality
    • Questions
    • Context

  2. Spreadsheet analysis

    4 topics

    Cleaning, formulas, lookups, pivot tables, validation, and repeatable analysis workflows.

    • Excel
    • Cleaning
    • Pivots
    • Reporting

  3. SQL for decisions

    4 topics

    Filtering, grouping, joins, subqueries, window concepts, and turning questions into queries.

    • SQL
    • Joins
    • Aggregation
    • Analysis

  4. Python and visualization

    4 topics

    Data frames, exploratory analysis, charts, reusable notebooks, and communicating patterns.

    • Pandas
    • EDA
    • Charts
    • Notebooks

  5. Dashboard capstone

    4 topics

    Model data, design a useful dashboard, validate the experience, and present recommendations.

    • Power BI
    • Dashboard UX
    • Storytelling
    • Presentation
Portfolio projects

Build work worth explaining in an interview.

Project 1

Operational performance report

A cleaned and automated analysis answering a defined set of business questions.

Project 2

SQL insight case study

A query-driven investigation with documented assumptions and concise findings.

Project 3

Interactive dashboard

A polished, decision-focused dashboard supported by a clear presentation narrative.

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