Data Analytics for Career Changers
Break into data analytics in 12 days — no coding degree needed. Learn Excel, SQL, and data visualization skills to launch a data career in the Philippines.
Duration
12 days
Daily Time
15-30 minutes
Level
Beginner
What You'll Achieve
- Analyze data using Excel, SQL, Python, and data visualization tools
- Clean messy real-world data and apply statistical thinking to business problems
- Build a complete end-to-end analytics project for your portfolio
- Prepare your resume, portfolio, and interview skills to land your first data role
Day-by-Day Curriculum
Day 1
The Data Analytics Career Path — Your Roadmap
Day 2
How Businesses Actually Use Data
Day 3
Excel Power User — From Spreadsheets to Analysis
Day 4
Introduction to SQL — Talking to Databases
Day 5
SQL Deep Dive — Answering Business Questions with Data
Day 6
Data Visualization — Telling Stories with Charts
Day 7
Introduction to Python for Data Analysis
Day 8
Data Cleaning — Working with Real-World Messy Data
Day 9
Statistical Thinking for Data Analysts
Day 10
Building an End-to-End Analytics Project
Day 11
Building Your Portfolio and Resume
Day 12
Interview Prep, Negotiation & Your Career Launch
Your Path into Data Analytics
Data analytics is one of the fastest-growing career fields in the Philippines, with salaries ranging from ₱30,000 to ₱100,000+ per month. And the best part? You do not need a computer science degree to break in.
This 12-day course is designed specifically for career changers. Whether you are in BPO, admin, marketing, or any other field, you will learn the core tools and skills companies are hiring for — Excel, SQL, Python, data visualization, and storytelling with data.
What You Will Learn
You will start by understanding the data analytics career path and how businesses actually use data to make decisions. Then you will build hands-on skills with the tools that matter: Excel power-user techniques for analysis, SQL for querying databases and answering business questions, data visualization for telling stories with charts, and an introduction to Python for data analysis.
You will also learn data cleaning — the unglamorous but critical skill of working with real-world messy data — and statistical thinking that helps you draw meaningful conclusions.
Portfolio, Resume, and Career Launch
The course culminates in building a complete end-to-end analytics project that demonstrates your ability to take raw data, clean it, analyze it, and present actionable insights. You will then learn how to build your portfolio and resume for data roles, and prepare for interviews and salary negotiation. By Day 12, you will have the skills, the portfolio piece, and the career launch plan to make your transition into data analytics.