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Analytics Track

From Insights to Impact: Data Analytics Mastery

Become the person people call when the numbers matter.

Learn how to connect spreadsheets, SQL, BI tools, and code into one coherent analytics skillset that speaks the language of business.

Duration

12 weeks

Ideal For

Analysts & Business Teams

Prerequisites

Comfort with basic Excel

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You'll graduate as

A data translator who can bridge business questions and technical answers.

Less theory, more practice—every concept is grounded in a use case.

Learn how to disagree with a dashboard and prove it—with better analysis.

Curriculum Overview

A 360° view of modern analytics.

Move from spreadsheets to SQL to BI tools to code without feeling like you're starting over each time. You always know why you're learning a concept and where it shows up in business analytics.

1

Module 1

THE OPERATOR

Mastering the industry's most common tool and the math behind decisions.

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Key Themes

Introduction to Data AnalyticsComplete ExcelBusiness Statistics
  • •Understanding the ecosystem, Analyst vs. Scientist roles, and common use cases.
  • •Fundamentals: Interface mastery, Shortcuts, Flash Fill, and Relative vs. Absolute referencing (A1).
  • •Data Logic: Lookup functions and Logical functions.
  • •Analysis Tools: Pivot Tables, Slicers, Calculated Fields, and Data Cleaning.
  • •Descriptive Stats: Mean, Median, Mode, Variance, and Standard Deviation.
  • •Probability & Distributions: Understanding Percentiles, Quartiles, and identifying outliers (The Bell Curve).
  • •Decision Making: Hypothesis Testing concepts (A/B Testing logic) and Correlation vs. Causation.
2

Module 2

THE INVESTIGATOR

Communicating with databases to extract and answer questions.

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Key Themes

Database CoreEssential SQLComplex AnalysisAdvanced Toolkit
  • •Understanding RDBMS structure, Primary vs. Foreign Keys, and Relationships.
  • •Mastery of SELECT, WHERE, and ORDER BY to filter and sort data.
  • •Joins: Inner, Left, Right, and Full Outer Joins.
  • •Aggregations: Using GROUP BY, SUM, and AVG to summarize millions of rows.
  • •Window Functions: RANK(), LEAD(), and LAG() for running totals and moving averages.
  • •CTEs & Subqueries: Writing clean, professional code for complex logic.
3

Module 3

THE STORYTELLER

Mastering the two world-leading Business Intelligence platforms.

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Key Themes

Data StorytellingMicrosoft PowerBITableau ExpertiseComparative Capstone
  • •Design principles, color theory, and selecting the perfect chart for your data.
  • •From Power Query data prep to complex DAX calculations and publishing reports.
  • •Creating advanced, interactive dashboards and Story Points for executive presentations.
  • •Build the exact same Sales Report in both tools to master their distinct workflows.
4

Module 4

THE AUTOMATOR

Using powerful programming languages to handle data and perform complex statistical analysis.

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Key Themes

Python for Analytics (Primary Tool)R for Statistical Analysis (The Specialist's Tool)
  • •Python Essentials: Variables, Data Types (Lists, Dictionaries), and Loops.
  • •Pandas for Data Wrangling: Introduction to Series and DataFrames, handling missing values, filtering, and merging datasets.
  • •Exploratory Data Analysis (EDA): Using Matplotlib and Seaborn for quick statistical plotting.
  • •R Basics: Getting started with RStudio, vectors, lists, matrices, and factors.
  • •Data Manipulation with dplyr: A powerful grammar for data manipulation (filter, select, mutate, summarize).
  • •Visualization with ggplot2: Creating publication-quality plots based on the grammar of graphics.
  • •Python vs. R: Understanding when to use which tool for the job.
Learning Outcomes

By the end of this course, you will:

  • Confidently take a raw brief from a stakeholder and turn it into a clear analytics plan.
  • Move between Excel, SQL, BI tools, and scripting without feeling lost.
  • Create dashboards that answer “So what?” and “What now?” — not just show charts.
  • Build a small but powerful portfolio of business ready analytics projects.

Who Is This For?

  • •Aspiring Business Analysts and Data Analysts.
  • •Marketing, Sales, and Finance professionals.
  • •Business owners and entrepreneurs.
  • •Consultants who work with data.
  • •Anyone wanting to make data driven decisions.

You'll work with

We focus on tools that are widely adopted in the industry, so your skills transfer immediately into the workplace.

Microsoft ExcelSQLPower BITableauPythonPandasMatplotlibRRStudio

Ready to make dashboards that actually drive decisions?

Join a cohort of analytics learners who care about clarity, rigour, and business impact, not just colourful charts.

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