Call 0917 798 1811 | Email hello@ivtstechnology.asia
.png)
BEGINNER FRIENDLY
Practical Data Analysis Using Python
March 2, 4, and 6, 2026
7:00 PM - 9:30 PM | 7.5 hours (3 sessions)
Instructor-led, Virtual Training.
Hands-On Labs with Guided Exercises.
Ever wondered how companies turn spreadsheets into insights? How analysts spot trends that drive million-dollar decisions? It starts with knowing how to ask the right questions of your data and Python is the key that unlocks those answers.
This hands-on course is your gateway into the world of data analysis. In just three focused sessions, you'll go from "I've never coded before" to confidently cleaning messy datasets, uncovering hidden patterns, and creating compelling visualizations that tell a story. No prior programming experience needed. Just bring your curiosity and a willingness to learn.
This isn't about becoming a data scientist overnight. Instead, you'll build a practical toolkit that makes you immediately more valuable in your current role, whether you're in marketing, operations, finance, or any field where data-driven decisions matter. By the end, you'll have the skills and confidence to tackle real-world data problems and the foundation to keep growing on your own.
What will you learn?
By the end of this training, you’ll be able to:
-
Navigate Python's data analysis ecosystem and understand why it's become the industry standard.
-
Write and execute Python code interactively using Jupyter Notebook, the preferred tool of data professionals.
-
Apply core Python concepts—variables, data types, lists, and dictionaries—to solve practical problems.
-
Transform raw data into clean, analysis-ready datasets using Pandas, the powerhouse library for data manipulation.
-
Tackle messy real-world data by handling missing values, filtering noise, and organizing information effectively.
-
Extract meaningful insights through descriptive statistics and data aggregation techniques.
-
Bring your findings to life with clear, professional visualizations using Matplotlib and Seaborn.
-
Think like an analyst by identifying trends, spotting patterns, and translating numbers into actionable insights.
Course Outline
DAY 1
Python Fundamentals for Data Analysis
(2.5 hours)
Module 1: Introduction to Python & Data Analysis
-
Why Python for data analysis
-
Overview of Python libraries
-
Introduction to Jupyter Notebook
Module 2: Python Basics
-
Variables and data types
-
Lists and dictionaries
-
Basic operators
Module 3: Working with Pandas
-
DataFrames and Series
-
Importing CSV and Excel files
-
Exploring datasets
DAY 2
Data Cleaning and Analysis
(2.5 hours)
Module 4: Data Cleaning
-
Handling missing values
-
Renaming columns
-
Filtering and sorting data
Module 5: Data Analysis and Aggregation
-
Descriptive statistics
-
GroupBy operations
-
Basic conditional analysis
DAY 3
Visualization and Insights
(2.5 hours)
Module 6: Data Visualization
-
Introduction to Matplotib and Seaborn
-
Bar, line, and pie charts
Module 7: Interpreting Results
-
Identifying trends and patterns
-
Writing insights from data
Why join this Python Training?
✅ Stop relying on others to analyze your data. Every day you wait to learn these skills is another day you're dependent on someone else to answer your questions. This course gives you independence.
✅ Stand out in your field. Python skills are no longer just for programmers—they're becoming essential across industries. Adding "data analysis with Python" to your skillset immediately differentiates you from your peers.
✅ Learn by doing, not just watching. Every concept is immediately applied to real data. You'll leave with working code you can reference and adapt for your own projects.
✅ See results quickly. Unlike lengthy bootcamps or academic programs, this course is designed to get you productive fast. In just 7.5 hours spread over three days, you'll go from zero to analyzing real datasets and creating visualizations you can show your manager.
✅ Build a foundation that grows with you. This course doesn't just teach you what to do—it teaches you how to think about data problems. You'll leave with the confidence and knowledge to continue learning on your own, whether through online resources, more advanced courses, or simply tackling projects at work.
✅ Receive a Certifcate of Completion from Invictus Technology Solutions.
Who is this for?
This course is perfect for:
-
Career changers exploring data analysis as a potential new path.
-
Professionals who work with data in Excel and want to level up their analytical capabilities.
-
Managers and decision-makers who want to understand what's possible with data and speak the language of their analytics teams.
-
Students and recent graduates looking to add an in-demand skill to their resume.
-
Anyone curious about data who's been intimidated by coding but ready to take the first step.
No programming experience required. If you can use a spreadsheet and you're curious about what lies beyond, you're ready for this course.
SCHEDULE AND DELIVERY MODE
Learn How to Use Python for Practical Data Analysis
Practical Data Analysis Using Python
March 2, 4, and 6, 2026
7:00 PM - 9:30 PM (PHT) | 7.5 hrs (3 sessions)
Pricing Information
Sign up now to save on your course fee!
Php 6,500
EARLY BIRD RATE
For registrations on or before February 13, 2026.
Php 8,500
REGULAR RATE
For registrations on February 14, 2026 onwards.
WHO WILL DELIVER YOUR TRAINING?
Meet Christopher Luzano, your Microsoft Certified Trainer and Python Expert
CHRISTOPHER LUZANO
Microsoft Commercial Master Trainer
Microsoft Certified Trainer (MCT)
Christopher Luzano is a Certified Microsoft Trainer with over a decade of experience helping individuals and organizations unlock the full potential of Microsoft technologies. Passionate about making technology accessible, he has trained professionals across industries—guiding beginners through the basics and empowering advanced users to maximize productivity.
With expertise spanning Microsoft 365 Applications, Office, Power BI, and Microsoft Project, Christopher is known for his engaging, hands-on training style that blends live demos, interactive exercises, and real-world scenarios.
He brings a proven track record in curriculum design, learner engagement, and performance measurement, ensuring participants don’t just learn, but retain and apply their skills confidently.
Christopher’s approach is simple: bridge the knowledge gap, spark curiosity, and equip learners with practical skills they can use immediately.
