In-person Data Science course

Master Data Science

Data Science in Python for Beginners

Powered by MasterData.AI
This 4-week course is to prepare you as a practical user of Data Science in Python with the necessary skillsets to understanding things in the age of Data & AI. This course is designed to provide you a consolidated and comprehensive overview of the world of Data Science, including understanding of data and Machine Learning models.
4.7/5
4.7 (38 reviews)

Coming Soon

MasterPython Data Science in Python Course

What you'll learn

About this In-Person Course

About this In-Person Course

Payment Methods

or FPS

Time & Place
In-person Data Science course - Data Science in Python for Beginners

Master Data Science
Course Content

Master Data Science – Data Science in Python for Beginners aims to provide you a comprehensive overview of Data & AI. In this 4-week course (16 hours in total), you will acquire the core concepts and the workflow of Data & AI, and how to build models with Python. You will learn the essential machine learning algorithm families and the rationale behind them. Finally, you will acquire 3 practical skills – Predictive Modelling, Natural Language Processing, and Computer Vision – and apply these techniques in real-world use cases – House Price Prediction, Sentiment Analysis, and Object Recognition.

01.
Core Knowledge +

Data & AI Core +

  • Data Science Key Concepts
  • Workflow of Data Science
  • Data Science Python Libraries
  • Tools to Manipulate & Visualize Data
  • Various Kinds of Famous Machine Learning Models in Python
  • Etc.
02.
Practical Skills

Natural Language Processing (NLP)

Predictive Models

Computer Vision

  
= Practical Usage
Extract and analyze the opinions of your clients, such as their attitude towards your products
Predict and make decisions based on evidence provided by the historical data
Recognize objects, pose, and identity for applications like VIP recognition or retargeting
03.
Models
+ Gradient Boosting
+ Random Forest
+ Decision Tree
+ Neural Network
+ Convolutional Neural Network
+ Word Embedding
+ TFIDF
+ Dimension Reduction (PCA)
+ Time Series
+ Recommendation Engine
+ K-means
+ Logistic Regression
+ Linear Regression
Who will you learn with?

Meet Your Instructors

Kin MasterPython
Kin Tse

Kin has been working as a Data Scientist and building Machine Learning models for international enterprises across Asia, Europe & America for years. He is passionate about teaching since a decade ago. 

lp MasterPython
LP Cheung

LP Cheung is an experienced Data Scientist who used Python to build various scalable machine learning systems and serve millions of users.

KDD cup & Kaggle Data Competitions
Data Competition Winners​

Not only are Kin & LP the experienced Data Scientists, they also had the good performances in the well-known Data Science competitions.

Curriculum*

Master Data Science is designed to equip you with all the basic concepts of Data Science with Python to make you feel confident to use Python in different kinds of Data Science scenarios.

By the end of the course, you can harness the power of Data Science tools in Python to manipulate the data and build the Machine Learning models by yourself.

*Note: The curriculum is for reference only. The content may have some changes, depending on the teaching situation. Yet the core elements would be kept as the same to ensure the purpose of equipping as a practical Python user in Data Science.

MasterPython Curriculum - Best Python Course In-person in Hong Kong & Singapore
Session 1: The Core Knowledge of Data Science

Start with having the core knowledge of Data Science and getting to know the great power of Data & Machine Learning.

  • Trend of Data Science
  • Introduction to ML & AI
  • Generalization
  • Regularization
  • Underfitting & Overfitting
  • Cost/Objective Function
  • Optimization & Gradient Descent
  • Feature Engineering
  • Hyper-parameter Tuning
  • Numpy
  • Pandas
  • Matplotlib & Seaborn
  • Scikit-learn
  • Tensorflow & Keras
  • Problem Definition
  • Exploratory Data Analysis (EDA)
  • Evaluation Setup
  • Data Processing
  • Modeling
  • Experiments
Session 2: The essence of Data

Understand all the basic elements of data and start to use the Data Science tools to understand, manipulate and visualize data.

  • Numeric
  • Categorical
  • Unstructured
  • Array and its operations
  • Series & Dataframe
  • Descriptive statistics
  • Correlation
  • Bar chart
  • Histogram
  • Boxplot
  • Correlation Heatmap
  • Scatter plot
  • Line graphs
  • Side-by-side bar graphs
Session 3: The essence of Machine Learning Models

Get the experience in building various kinds of Machine Learning models, understand the underlying principles of them and know how to properly evaluate the models.

  • Logistic Regression
  • Train, Validation and Test
  • Confusion Matrix, Recall, Precision
  • Linear Regression
  • Metrics
  • K-means
  • Collaborative Filtering
  • Facebook Prophet
  • PCA (Principal Component Analysis)
  • TFIDF
  • Word embedding
  • Decision Tree
  • Random Forest
  • Gradient boosting model
  • Explainability in Machine Learning
  • Convolutional Neural Network
Session 4: Real World Applications of Data Science

Experience how to use Data Science to deal with real world problems in these 3 mini-projects.

In this project, you will learn and apply natural language processing, such as TFIDF and text processing, to build a sentiment analysis model. You will build a model to extract the opinions of your clients and determine whether the attitude is positive, negative, or neutral.

 

In this project, you will apply and practice the modeling workflow you learned in the previous sessions. You will build a model to predict the house price according to data like total square feet, location, etc

In this project, you will apply the deep learning techniques that enable machines to recognize and judge. You will build a computer vision model that can recognize different classes of objects like humans

Getting Your Certificate

Your Accomplishment Recognized

You will get a certificate from us after you finished the course. Not only are you encouraged by our recognition formally, but you can also show it to the others to prove your accomplishment and your dedication to mastering Data Science on your Data & AI journey.

Note: This certificate is issued by MasterData.ai & MasterPython.

Master Data Science Course Cert Sample - Data Science Course in Hong Kong

Our Happy Learners!

Kin and LP are experienced data science practitioners with excellent teaching skills. They are able to go through difficult concepts in an easier way... I highly recommend you.                                                                                                      
Benny
Benny Mak
Audit Manager (Data), The Hong Kong Jockey Club
LP & Kin were exceptional... providing such a high-quality class. The sessions were interactive and engaging with knowledge & experience sharing. The content was great and practical. Both LP & Kin are fantastic educators... Thank you!
Connie
Connie Tang
Senior Consultant (Data, Finance, Risk & Compliance), Capgemini
I benefit a lot from their teaching, since I lacked of motivation to learn it online by myself. They not only provided good knowledge about how to write good programs in Python, they also ignited my interest in programming, making things enjoyable to learn.
mavis
Mavis Sze
Interior Designer in Hong Kong
In-person Data Science course - Data Science in Python for Beginners

Join Master Data Science

Master Data Science Only
 
Master Data Science +
Python Fundamental
Extra Discount
 
Basic Programming Knowledge Before You Start

Python Fundamental (Optional)

If you don’t have any Python programming knowledge, we recommend you to study this fundamental module to equip yourself with the basic programming knowledge of Python.

Note: This 2-week optional module will start 2 weeks before Master Data Science.

It includes
  • Core Concepts of Python Programming
  • Python Environment
  • Variables & Expressions
  • Python Data Types (e.g. List & Dict)
  • Conditional Execution
  • Loops and Iterations
  • Module & Package
  • Etc.
Big Discount with this Package

Frequently Asked Questions (FAQ)

About the Course

You should have a basic understanding of Python programming, such as data types, package & module. If you do not have the knowledge, you can join the Python Fundamental module equip yourself with the necessary knowledge.

If you have further questions, please contact us through email ([email protected])

Please bring your laptop, its charger, pens and notebook.

Yes. Please inform us through email ([email protected]) as we will take attendance before the class

No, we only provide in-person courses.

Typhoon Signal No. 8 or above or the announcement of a Black Rainstorm Warning:

  1. If the signal or warning remains issued before 2 hours of the starting time, the class will be rescheduled.
  2. If the Hong Kong Observatory announced that the signal No. 8 or above will be in force during the class, the class will be rescheduled.

You must attend all the classes and finish the projects in order to get the certificate of completion.

About the payment

You can pay via FPS (Faster Payment System), Visa Card, Mastercard or Paypal. Our FPS identifier is: 169242617. Please register our course in our course page first before you pay us.

If you use FPS for payment, please follow this instruction:

Payment Method

If you use Paypal or credit cards as the payment, you can skip the above instruction.

Our email is [email protected]

If you use FPS for payment, please follow this instruction:Payment Method You will get a confirmation email after we successfully received your payment proof (transfer receipt) with your registered name. And our email is [email protected]

If you use Paypal or credit cards as the payment, you can skip the above instruction.

Fee paid is not refundable unless the course is cancelled.

In-person Python Courses

What's next

After completing Master Python I, you can finish your journey with the second & the last course of From Beginners to Practical Users series –  Master Python II to gear yourself up for future’s challenges with more advanced topics of Python in a fast pace with us.

Master Python II - Best Python Course In-person in Hong Kong & Singapore
Hands-on Data Science in Python
Master Data Science II
(Coming Soon)

Further develop your Data Science skills, understand the Machine Learning models in depth and level up to become a DS practitioner.

Why MasterPython?

Our In-person courses are For all the beginners who want to get into tech world

“Why it doesn’t work?”, “It’s another Error Message and I don’t understand…” There are too many pitfalls at the start of learning a programming language. We know how difficult it is to learn Python without any help when you do it completely online, that’s why we tailor all of our course in in-person setting to help you pass through the hardest part in your learning journey – the Learning Threshold.

Why MasterPython? Best Python Courses in Hong Kong & Singapore

Advantages of Our In-Person Courses

01.

Walk you through the learning threshold

Everybody needs help at the beginning, especially for programming. Our in-person courses are deliberately designed to make your success easy by walking you through the learning threshold.

02.

Learn ➭ Checkpoint ➭ Apply
We make it engaging

Effective learning is a systematic process. Learn – to absorb new knowledge. Checkpoint – to check if you fully get it. Apply – to ensure you can put it into practice. Engaging learning starts here.

03.

Ask your Questions in class, get clear as you progress

It is not unusual to spend a couple of hours just on solving one little error in Python when you just start learning, and that’s really discouraging. That’s why we are here in class to answer your questions to make sure you progress.

MasterPython helps you pass through the Learning Threshold - Best Python Courses in Hong Kong & Singapore
Walk you through the learning Threshold with us.
Disadvantages of Learning your first programming language online

We instructed at

We are experienced in instructing in both enterprises and higher education.

Photos