In-person Data Science course
Master Data Science
Data Science in Python for Beginners
Powered by MasterData.AI
4.7 (38 reviews)
- Fast Track to Learning Data Science
- 20+ Hands-on Practices & Mini-Projects
- 200+ Happy Students
Coming Soon
What you'll learn
About this In-Person Course
- Understand the Data Science project and Machine Learning modeling workflow
- Understand the trending Machine Learning algorithms like Gradient Boosting and Neural Networks
- Use Python tools for Data Analytics, such as Pandas
- Build Machine Learning pipelines using Python tools, such as Scikit-Learn
- Learn the concepts of Deep Learning and Python package – Tensorflow & Keras
- Understand various key concepts of Data Science, such as Generalization and Regularization
- Learn to build models with good coding style and habits
- Build 3 mini-projects to apply what you learned
- Learn the tools that are commonly used by Data Scientists
- Learn how to extract insights by Exploratory Data Analysis (EDA)
- Get to know the resources for continual learning
About this In-Person Course
- In 4 Weeks
- 16 Hours in total
-
Beginners in Data Science
Prerequisite: Basic Knowledge in Python - 3 Hands-on Mini Projects
- 3 Assignments
-
Conducted in Cantonese,
Supplemented with English - Get Certificate of Completion
-
HKD
$8880$6880 22% off - Call Us for the Discount of $600 for 2-People, $300 Each. Or For Any Inquiry Tel: 5245 4904
Payment Methods
or FPS
Time & Place
- Start Date: October 9, 2021
-
Time: 2:30pm – 6:30pm, on Saturday
Date: October 9; October 16; October 23; October 30, 2021 - Venue: Unit 1226A, Star House, 3 Salisbury Road, Tsim Sha Tsui, HK
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 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.
- Former Senior Data Scientist in Boston Consulting Group (BCG)
- Former Data Scientist in Swiss Re
- Have +10 years teaching experience
- Master's degree in Computer Science
LP Cheung
LP Cheung is an experienced Data Scientist who used Python to build various scalable machine learning systems and serve millions of users.
- Former Data Scientist in UBS
- Former Data Scientist in Bank of China (Hong Kong)
- Part-Time Lecturer in HKBU & CUSCS
- Master's degree in Computer Science
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.
- Medal earned in a Kaggle Data competition – the world’s largest DS community
- Top 3% in a KDD Cup Data competition – the world most prestigious DS competition
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.
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
- Data processing
- Data modeling
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
- Tensorflow
- Keras
- 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.
Our Happy Learners!
In-person Data Science course - Data Science in Python for Beginners
Join Master Data Science
Master Data Science Only
-
HKD
$8880$6880 22% off
Master Data Science +
Python Fundamental
-
Adding HKD
$24001200 (50% off) to get a Python Fundamental module -
Total HKD
$112808080
Extra Discount
- Call Us for the Discount of $600 for 2-People, $300 Each. Or For Any Inquiry Tel: 5245 4904
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
-
Adding HKD
$24001200 (50% off) to get this optional Python Fundamental module - In 2 weeks
- 8 Hours
- Start Date: September 11, 2021
-
Time: 10am – 2pm, on Saturday
Date: September 25; October 2 - Venue: Unit 1226A, Star House, 3 Salisbury Road, Tsim Sha Tsui, HK
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 (contact@MasterPython.co)
Please bring your laptop, its charger, pens and notebook.
Yes. Please inform us through email (contact@MasterPython.co) 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:
- If the signal or warning remains issued before 2 hours of the starting time, the class will be rescheduled.
- 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:
If you use Paypal or credit cards as the payment, you can skip the above instruction.
Our email is contact@MasterPython.co
If you use FPS for payment, please follow this instruction: You will get a confirmation email after we successfully received your payment proof (transfer receipt) with your registered name. And our email is contact@MasterPython.co
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.
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.
- 24 hours, in 6 weeks
- Intermediate - after Master Data Science I
- 3 Hands-on Projects
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.
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 ➭ ApplyWe 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.
Walk you through the learning Threshold with us.
Disadvantages of Learning your first programming language online
- Stuck at the beginning with too many hurdles
- Not motivated with passive learning mode
- Not able to ask any questions and be confused
We instructed at
We are experienced in instructing in both enterprises and higher education.
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