Learning journey

Your Data Science journey

Python, Pandas, statistics, applied ML.

1stages

7courses

112htotal time

4.8from 12 reviews

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Journey map

Step by step to mastery

2 stages · 7 milestones — from Beginner to Expert with a clear map.

START

Start here

Your starting point

Shared foundation

ZONE 1/1Beginner

Fresher zone · Build the foundation

Basic syntax, tooling, your first programs. You can ask basic questions confidently in a team.

Stage 1/1

1 You are here

🐍

Python for Data Science — Beginner

Learn Python via class 10A scoresheet project.

Understand Python basics
Use list, dict, loops

3 8h 5(1) 2

🔀 Fork — pick a path

After foundation, pick 1 of 3 specialization paths (or learn both).

Path

Data Analyst

Analyse data, build dashboards, tell stories to business

ZONE 1/3Beginner

Fresher zone · Build the foundation

Basic syntax, tooling, your first programs. You can ask basic questions confidently in a team.

Stage 1/3

🌐

Web basics: HTML/CSS/JS

Your first web page in a few hours.

Understand how web works

2 6h

ZONE 2/3Intermediate

Junior zone · Practice on real work

Build small features, read others' code, self-debug. You can pick up tickets with senior guidance.

Stage 2/3

2 options — pick one or learn both

Option

🗄️

SQL for data analysis

Query business databases — from SELECT to window functions.

Write SELECT with WHERE, GROUP BY, HAVING, JOIN
Use window functions: ROW_NUMBER, RANK, LAG

Analytical SQLData storytelling

0 12h 4.5(2) 2

Option

🐼

Data analysis with Pandas

Master DataFrames — read, filter, group, plot real data.

Read/write DataFrames from CSV, Excel, JSON, SQL
Filter, sort, groupby, merge fluently

Pandas analyticsData visualization (matplotlib, Plotly)

0 14h 4.7(3) 2

ZONE 3/3Advanced

Middle zone · Technical autonomy

Lead complex features, design modules, mentor juniors. You make technical decisions in your scope.

Stage 3/3

📊

Data viz & storytelling

Turn raw numbers into compelling stories — matplotlib, seaborn, Plotly.

Pick the right chart for the data type
Design pro-grade charts (color, layout, annotation)

Data visualization (matplotlib, Plotly)Data storytelling

0 16h 4.5(2) 2

DESTINATION

Become a Data Analyst

Your destination

Path

ML Engineer

Build AI/ML models and ship to production

ZONE 1/1Advanced

Middle zone · Technical autonomy

Lead complex features, design modules, mentor juniors. You make technical decisions in your scope.

Stage 1/1

🤖

Intro to ML with scikit-learn

Train models: house prices, spam, customer clustering.

Understand the ML pipeline: split, train, evaluate
Pick the right model for the problem type

ML with scikit-learn

0 20h 5(2) 3

DESTINATION

Become a ML Engineer

Your destination

Path

Just test

ZONE 1/1Expert

Senior zone · Expert & leader

Architect large systems, lead teams, shape tech direction. You're the person the team asks when stuck.

Stage 1/1

🧠

Deep Learning with PyTorch — Real projects

From MLP to CNN, RNN, Transformer — with 3 portfolio-grade projects.

Understand CNN, RNN, Transformer architectures
Train models to convergence on GPU (Colab)

Deep learning with PyTorch

0 36h 5(2) 2

DESTINATION

Become a Just test

Your destination

Skills you'll gain

Analytical SQL Data storytelling Pandas analytics Data visualization (matplotlib, Plotly) ML with scikit-learn Deep learning with PyTorch

Core knowledge

Array compute with NumPy

Feature engineering

Descriptive & inferential statistics

Basic MLOps — model deployment

Your guides

Instructors on this journey

Thầy Nam (Instructor)

Data Science instructor — 10 years experience

6 courses

Anh Bảo (TA)

24/7 chat support

4 courses

Cô Lan (Mentor)

1-1 mentor for career-switchers into data

3 courses

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🎓

Data Analyst from Zero

Ready to conquer Data Science?

Short stages, clear milestones — go from zero to expert.

Start journey