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The Gate is Now Open!
Sep 05 to Sep 20, 2025 (Fri & Sat) | 7:00PM TO 11:00 PM PH Time
Live via Zoom with Lifetime Access on Replay Beginner Friendly, Expert-led

Real Skills from Real Analytics Experts

Master Python for Practical Data Analytics, No Coding Experience Needed

Go from “I have never written a line of code” to cleaning, analyzing, and visualizing business data with confidence. Finish with a portfolio-ready project that shows employers you can deliver results.

Beginner-friendly

From Zero to Hero​

Real World Skills​

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Trusted by Thousands of Aspiring Analysts in the Philippines

Trying to Learn Python on Your Own? It’s Slowing You Down

Excel, SQL, Power BI can only take you so far. When data gets complex, Python is the tool that saves time and reveals insights you can’t see otherwise.

Let’s walk through the reality most learners face:

SCENARIO 1

The Overwhelmed Professional

You’re working a 9-to-5 and trying to upskill on the side.
You’ve watched free tutorials, downloaded Jupyter, maybe even tried following along with a Kaggle notebook.
You can type the code — but when it’s time to apply it to your own data, you’re lost.
No structure, no support, no results.

“I’m trying, but I don’t know if I’m doing it right.”

SCENARIO 2

The Lost Career Shifter

You want to move into data analytics, and everyone says Python is essential.
You’ve started learning, but the advice online is overwhelming.
Some say start with Pandas. Others push you into machine learning right away. Another tells you to “just build projects.”
You’re unsure where to begin, and afraid of wasting time again.

“What if I choose the wrong path again?”

SCENARIO 3

The Frustrated Freelancer

You’ve dabbled in Python scripts or used templates you found online.
Maybe you even built a simple dashboard for a client.
But deep down, you know your foundation is shaky.
You lack confidence, structure, and real project-based practice.

“I know I can do this. I just need the right guidance.”

No more guessing.
No more copy-pasting random code snippets or hoping YouTube will connect the dots.
It’s time to stop piecing it together and finally follow a clear, proven path.

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The Longer You Stay Stuck, the Harder It Gets

Here’s what happens when you try to do it alone:

Feeling Lost and Overwhelmed

Too many tools, too much advice, and no clear path to follow.

Wasting Hours on Simple Tasks

Manual copy-paste, repetitive cleaning, and reports that never seem to end.

Losing Confidence in Your Growth

Opportunities are out there, but you feel like you’re falling behind colleagues who automate with Python.

No Portfolio to Back You Up

No real projects, no capstone work, nothing to show employers or clients.

No Support When You’re Stuck

The moment something gets confusing, you stop and never come back to it.

What If Learning Python Finally Made Sense?

Here’s what you’ll experience inside the Masterclass:

Clarity

No more feeling lost or overwhelmed. You’ll follow a clear, step-by-step system designed for beginners and career shifters.

Efficiency

Stop wasting hours on manual tasks. You’ll learn automation techniques that save time and eliminate repetitive work.

Confidence

No more second-guessing your skills. Each lesson builds real-world experience so you feel ready for projects and job opportunities.

Proof of Skills

Say goodbye to having nothing to show. You’ll complete real projects and a portfolio-ready capstone that proves you can deliver results.

Support

Never feel stuck again. You’ll have access to mentors and a supportive community to keep you moving forward.

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Your 4-Step Path to Python Mastery

Your complete roadmap to mastering Python for data analytics and building a career-ready portfolio.

Zero-to-Hero Skillset Mastery

Start from scratch or sharpen what you already know. We’ll guide you through the full learning curve with hands-on, beginner-friendly Python sessions designed for data analytics.

Real-World Python Projects

Work with business datasets and solve actual problems. You won’t just learn — you’ll do, with projects that are portfolio-ready and job-relevant.

Career Preparation Resources

From resume help to interview tips, we’ve got you covered. You’ll finish this course with more than skills, you’ll leave with direction.

Mentorship & Community Access

You’ll learn alongside industry mentors and a supportive community that grows with you. Ask questions, get feedback, and never feel stuck again.

Python Programming Professional Certificate

Everything You Need to Learn Python, In One Complete Masterclass.

PythonM

An all-in-one, guided training for beginners, career shifters, and professionals who want to master data analytics with Python and unlock new opportunities.

 

You’ll learn how to:

✅ Set up Python and work confidently with Jupyter Notebooks
✅ Clean, transform, and prepare messy datasets with Pandas and NumPy
✅ Visualize trends, patterns, and outliers using Matplotlib and Seaborn
✅ Apply essential statistics for real-world business questions
✅ Automate repetitive tasks and package results into portfolio-ready projects

 

Your all-in-one system to gain real-world Python skills, build your portfolio, and graduate with confidence.

Your all-in-one system to gain real-world skills, build your portfolio, and graduate with confidence.

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Day 1: Manual Environment Setup & Core Python Essentials

Topics

  • Downloading and installing the official CPython 3.x installer (Windows/macOS/Linux)
  • Adding Python to the system PATH and verifying with python --version
  • Creating and activating a project-specific virtual environment (python -m venv env, source env/bin/activate or env\Scripts\activate)
  • Installing Jupyter Notebook with pip install notebook and launching jupyter notebook
  • Notebook anatomy: markdown vs code cells, keyboard shortcuts, magic commands
  • Python refresher for analysts: variables, numeric / string types, lists, tuples, dictionaries, slicing
  • Control flow: if / else, for / while loops, list & dict comprehensions

Outcome

By the end of Day 1 you’ll have a clean, reproducible Python environment (no Anaconda needed) and the syntax confidence to start manipulating data in notebooks.

Day 2 – Numerical Computing with NumPy & First Steps in Pandas

Topics

  • Installing scientific libraries manually: pip install numpy pandas
  • NumPy arrays: creation, reshaping, broadcasting, basic maths without loops
  • Pandas Series vs DataFrame concepts
  • Reading flat-file data (CSV, TSV, Excel, JSON) into DataFrames
  • Selecting and filtering data with loc, iloc, boolean masks

Outcome

You’ll be able to load real-world datasets and perform lightning-fast row/column sub-setting—the first step toward meaningful analysis.

Day 3 – Data Cleaning & Transformation

Topics

  • Diagnosing and fixing missing values (isna, fillna, forward / backward fill)
  • Detecting and removing duplicates
  • Parsing dates, converting data types, handling categorical variables
  • Powerful string methods (str.replace, regex with str.extract, trimming whitespace)
  • Combining datasets: merge, join, concat; reshaping with melt & pivot
  • GroupBy aggregations for quick descriptive statistics

Outcome

You’ll turn messy, multi-file data into clean, analysis-ready tables—no SQL or databases required.

Day 4 – Exploratory Data Analysis & Visual Storytelling

Topics

  • Installing plotting libraries: pip install matplotlib seaborn
  • Descriptive statistics (describe, quantiles, skewness, kurtosis)
  • Correlation analysis and pairwise relationships
  • Plotting with Matplotlib: line, bar, histogram, box, scatter
  • High-level visuals with Seaborn: pairplot, heatmap, catplot
  • Customising plots: titles, labels, annotations, exporting high-resolution images

Outcome

You’ll transform rows and columns into clear, persuasive visuals that reveal trends, outliers, and relationships for non-technical stakeholders.

Day 5 – Applied Statistics & Feature Engineering for Analysts

Topics

  • Installing statistical tools: pip install scipy statsmodels
  • Inferential statistics with SciPy: confidence intervals, t-tests, chi-square, ANOVA
  • A/B-test comparisons and p-value interpretation
  • Feature scaling (min-max, z-score) and basic outlier detection (IQR, z-score)
  • Time-series techniques: resampling, rolling windows, simple seasonal decomposition
  • Introductory linear regression with statsmodels for explainable insights

Outcome

You’ll add statistical rigor—quantifying uncertainty, validating differences, and creating engineered features ready for dashboards or lightweight models.

Day 6 – Automation, Reporting & Capstone Kick-off

Topics

  • Writing reusable analysis functions and simple classes
  • Automating repetitive tasks with list comprehensions, loops, and scheduled notebooks (pip install papermill)
  • Exporting results: clean CSV/Excel, styled HTML reports, interactive graphs with pip install plotly
  • Notebook best practices: version control with pip install nbdime, narrative structure, reproducibility tips
  • Capstone launch: select a public dataset, craft 2–3 business questions, outline notebook workflow and deliverables (presentation or HTML report)

Outcome

You’ll learn to package insights for decision-makers, automate recurring analyses, and begin a capstone showing your end-to-end Python analytics skill set—from ingestion and cleaning to EDA, statistics, and storytelling.

Your Exclusive Perks and Rewards

When you enroll, you get real-world projects, expert mentors, and live sessions to guide you every step. You will also receive exclusive bonuses for life time support, keeping you ahead even after the course ends.

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This Masterclass is Perfect If You Are:

✅ A total beginner who wants to learn Python fast
✅ A career shifter eyeing the tech industry
✅ A freelancer looking to add data services
✅ A business professional wanting to upskill
✅ A fresh grad aiming to stand out

Our real feedback from learners who’ve been where you are.

Learning Fee​

Discounted Price
was ₱15,000

₱7,500

Enrollment until September 05, 2025




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Early Bird Promo​
was ₱15,000

₱5,990

Valid until August 31, 2025 only

To avail use DSAEB promo code





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Installment Plan
was ₱15,000

₱8,500

Payment Breakdown:

4K Down payment
the 4.5K balance is payable in 2 month
(₱2,250 per month)
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Schedule and Enrollment Process​

Training Schedule

Our bootcamp is tailored to suit weekend schedules, and we offer lifetime access, ensuring accessibility for participants with diverse commitments.

✅ Date: SEPTEMBER 5 to SEPTEMBER 20, 2025
✅ Day: 3 Saturdays
✅ Time: 7:00pm to 11:00pm (PH Standard Time)
✅ 100% Online via ZOOM LIVE with LIFETIME ACCESS to all replays and training materials
✅ Expert-led

Enrollment Process

ENROLLMENT PROCESS:

1️⃣ Carefully review the contents in this page & in enrollment then settle the payment

2️⃣ Upload the proof of payment on the form

3️⃣ Send a message

4️⃣ Waiting for your Official Admission Letter and get ready to hit the ground running!
Kindly check the FAQ and/or enrollment for complete details on enrollment process.

They took the first step and are now getting hired. Will you be next?

Where do I send my payment?

Here are your payment options below. Once paid, send your proof of payment to DataSense Analytics Official Facebook Page. You'll receive your admission letter and access to our exclusive Facebook group!

BPI QR Code - Square

BPI

Bank Name:
Bank of the Philippine Island (BPI)

Branch: SUBIC – SBMA

Account Name:
Abraham J. Avila Jr.

Account No.:
0699 04 7643
CGASH QR Code - Square

GCASH

G-CASH
0966 502 8685
Abraham Jr Avila

Union Bank Logo

UNION BANK

Bank Name:
UNIONBANK OF THE PHILIPPINES

Account Name:
DATASENSE ANALYTICS INC

Account No.:
0019 3001 0774
CHECKING ACCOUNT

Frequently Asked Questions

Yes! Our Data Analytics Training is perfect for all levels, even for those with zero experience. The curriculum starts with the basics and builds your skills step-by-step.

To get a Certificate of Completion, submit the required capstones project successfully.

If you do not complete these, you will receive a Certificate of Participation instead.

No, our classes are 100% online. We value your time, so our live Zoom sessions are scheduled every Friday and Saturday  from 7-11 PM—perfect for working professionals.

Yes! Enrollment gives you unlimited access to all future classes, including curriculum updates. We’re committed to your continuous learning and growth

We take you from zero to job-ready with a step-by-step approach—starting from the basics, mastering Excel, Power BI, SQL, and Python, then building real projects for your portfolio. Free Microsoft or Pearson Vue ITS Certification. Plus, you’ll get resume-building guidance and job placement assistance to help you land your first data analytics role. It’s hands-on, mentorship-driven, and designed for real career success!

No worries! You’ll have lifetime access to session replays and unlimited future training. Plus, this is a one-time payment—meaning you’ll continue to receive updates and mentorship whenever you need it.

Yes, you can use a laptop or PC with Windows for the training, as it’s fully compatible with tools like Power Query, Power Pivot, and DAX. However, we don’t recommend using a MacBook since some of the software may not work properly on macOS.

We can’t guarantee a job, but we’ll equip you with the skills, portfolio, and job search strategies to succeed. From CV and LinkedIn optimization to interview prep and hiring partner connections—we teach you how to fish so you can land opportunities on your own!

Is the internship paid?
 No, our internship is unpaid but offers real-world experience to apply your skills.

Is it required for the certificate?
 No, the internship is optional. You can still get your Certificate of Completion based on course achievements.

Who can join?
 You must complete these courses first:
 ✔ MS Excel Data Analyst Masterclass
 ✔ MS Power BI Bootcamp
 ✔ MySQL Masterclass
✔ Python Masterclass

Internship Details:
 Duration: 3-6 months (flexible, max 20 hrs/week)
 Setup: Work from home (WFH)
 Tasks: Real projects guided by expert mentors
 Perks: Certificate of Employment (Intern) & recommendation letter upon completion

ABSOLUTELY YES!

You can request a full refund anytime before we send your Admission Letter via Messenger or Email – NO questions asked. Just contact our support team within the refund period and they’ll guide you through the process.

EXTREMELY IMPORTANT NOTE: Once we’ve sent your Admission Letter and Training Kit, refunds are no longer available.

Some of Our Students Work In

Transform Your Career in Just 4 Months

Master Data Analytics with hands-on training, portfolio building, and real-world internship experience—no background needed. The process is simple: Learn, Apply, and Get Hired.

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Industry-Recognize Certification

Certification, particularly entry-level certification, helps to build a skilled workforce that meets the needs of local employers and government tech initiatives. Certifications means having a global impact. We all live in a global economy. Gain the skills you need to create more opportunities for yourself and your country.

We offers certification credential for the following certification program.

Learn More
DataSense Analytics

Learn, practice, and certify your way to a thriving data analytics career with expert-led courses and real projects!

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