ANALYTICAL ENGINEERING

Analytical engineering

Data is the engine of modern business, but only if you know how to drive it. This practical course cuts through the complexity, giving you immediate, job-ready proficiency in the most essential tools of the trade: Excel, SQL, Power BI, and foundational Python. You will transform from a novice into a skilled analyst, capable of cleaning, visualizing, and telling impactful stories with data that drive real business decisions.

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What You'll Learn

  • Excel Mastery for Data Cleaning and Transformation (Pivot Tables, VLOOKUP, Advanced Functions)
  • SQL Querying for Database Extraction and Manipulation
  • Data Visualization and Business Intelligence (Power BI) Dashboard Development
  • Data Modeling and DAX within Power BI
  • Applied Statistical Analysis and Hypothesis Testing
  • Introduction to Python for Automation and Advanced Analysis (Pandas)
  • Introduction to Data Modeling
  • Effective Data Storytelling and Presentation Skills

Who This Course is For

  • Complete Beginners: Individuals with no prior coding or analysis background who want a direct pathway into a professional analyst role.
  • Administrative and Business Staff: Those who frequently handle data and need to drastically improve efficiency and reporting capability beyond basic spreadsheet skills.
  • Career Changers: Anyone seeking a flexible, in-demand career that values critical thinking and attention to detail.
  • Marketing, Finance, and HR Professionals: Individuals who need to independently analyze large datasets to measure performance and make strategic recommendations.

Prerequisites

  • Basic familiarity with using a computer and files (saving, organizing).
  • Strong numerical and logical reasoning skills.
  • A commitment to structured learning and detail orientation.
  • A reliable computer and internet connection for online classes.

What's Included

This course features a robust hybrid learning model:

  • Physical Classes: 3 days per week — hands-on coding, collaborative projects, and core lectures.
  • Online Classes: 2 days per week — code reviews, debugging, Q&A, and deep dives.
  • Physical Weekend Sessions: Admits students who can only attend weekend classes - Saturdays and Sundays.
  • Course Materials
  • Code Mentorship
  • Portfolio Development
  • Certificate of Completion

Tools & Technologies You Will Use

  • Spreadsheets: Microsoft Excel (Advanced features)
  • Database Querying: SQL (SQLite or PostgreSQL)
  • Business Intelligence: Microsoft Power BI
  • Programming (Intro): Python (Focusing on Pandas for data manipulation)

Capstone Project


End-to-End Business Performance Analysis and Dashboard You will conduct a full-cycle analysis on a real-world business scenario (e.g., customer churn or sales performance) to deliver a strategic recommendation.