Data Science with Python

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Data Science with Python (Part-time)



Data Science, career focused with Python: Learn what it takes to become a working data scientist in 3 months with our complete course. Check Data Scientist Salaries or How to start a Data Science career.

Already have a career? Become better with Data Science technical skills. Why learning Python for your company is essential

Python programming is included; the most scaleable programming language for beginners. Whether you have never programmed before or already know basic programming. This complete course goes over commercial uses of advanced Python for job seekers in Hong Kong. Our course is used by some of the top data scientists in HK today.

  • Ace that interview with a complex understanding of Data Science and Python
  • Be able to create Machine Learning Algorithms
  • Apply new skills learned to real-life use cases
  • Perform Linear and logistic regression
  • Start coding in Python for face to face classes

Course Contents

  • Data Types 
  • Expressions and Variables 
  • Strings Operations and Output 

  • Control Flows and Conditions 
  • Loops 
  • Functions 
  • Objects and Classes 

  • List 
  • Set 
  • Dictionary 
  • Complexity 

  • Reading and Writing Files 
  • Data Wrangling with Pandas 
  • Math Operation with Numpy

  1. Basic of Relational Databases 
  2. Basic of Document based on SQL Database 

  • Data Visualization with Matplotlib, Seaborn and Plotly 

  • Create Webpage and API with Flask 

  • Build your First Game with Python 
  • Web Crawling 
  • Flight Delay Analysis 

  • Use Scikit-learn Library to Build your own Machines Learning Project 

  • Build your Model from Scratch, including Popular Supervised Learning Model, Cost Function and Gradient Descent 
  • Dimension Reduction, including PCA and SVD, Image Compression with PCA 
  • Ensemble Models, including Decision Tree, Random Forest & Code with Kaggle Winning Library XGBoost 
  • Model Evaluation including Training Error, under Fitting and Over-fitting, Test Set Approach, Cross-Validation, ROC Curves and AUC, Root Mean Squared Error 
  • Clustering including K-means Algorithm, Visualizing Data in Multi-dimensional Space, Limitation of K-means 
  • Natural Language Processing including Real World Examples & NLTK, Tokenization, Stemming, Lemmatization, Stopwords etc. 
  • Recommendation Engine including Content Base Model & Collaborative filtering 

Ask Us For Schedule
Weekends (Saturday)
Course Fee
*For those that need financial aid, installments are available
Anthony LO; Award Winning Data Scientist, MPhil at HKUST(Computer Engineering), BEng Degree Electronic Engineering at HKUST

Frequently Asked Questions


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Can I change my job to Data Science field after studying?
This course equips you with the Python and Machine Learning skill-sets that may help land a job as a Data Engineer, Data Science Analyst or Data Scientist. All in all, it depends on your performance during any interviews.
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Why is this course better than others?
This course focus on actual and practical Python programming with Machine Learning. You will learn the concept from self-studying materials and the training provided by our trainers together with the practical coding knowledge. After completing this course, you should be able to perform web crawling, image recognition and other Machine Learning model with Python. You will also be able to participate in online competitions as well.
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Will the market recognize the course?
Venturenix is a fast-growing IT, Data and Digital Recruitment firm in Hong Kong. We have been exclusively working in the IT industry. LAB was born out of our client’s need for more IT talent. Besides Certification, practical and hands-on development skills are the most important assets.
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Are the skills learned practical or theoretical / can be applicable to my Data engineer or Data science career?
This course is a 99% Practical training course. You will learn most theories through our Trial Classes and self-study materials provided throughout the courses. i.e. Almost 100% of the in-class hours you spend with our trainer will be programming intensive sessions with Python to prepare you to be a Data Engineer or Data Scientists and this is how we can help you to transform.
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Are programming or any IT experience needed while learning Python and data science courses?
This is a frequently asked question for students. The answer is NO. Referring to our past experience, students who claimed to have Python knowledge or programming experience only have a few advantages at first 5 to 6 hours of class. Students with any IT experience can catch up with those experienced students quickly afterward. Besides, the learning speed or the understanding level depend on students’ enthusiasm on learning AI and whether they have finished their assignments and attended lessons well.
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After completing the 57 hour course, Can I find my preferred jobs?
After finishing our course, nearly all our students can manipulate Python and Machine Learning independently on data extraction, data analysis, and image analysis. It is more than enough on the requirements for entry level positions on data engineering and data science disciplines.
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Is there a large demand for data scientists and data engineers in Hong Kong?
Most of our clients are building their own data engineering and data science teams. For those companies already established data science teams, they mostly keep recruiting data talents with the goal of 200% headcounts every year while the majority of universities in Hong Kong did not provide data science or Python-related disciplines that respond to the market demand. Therefore, Venturenix LAB has the responsibility to train IT talents to fulfill the needs for the market while mass large enterprises applied the digital transformation in recent years.
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How do I know whether I am suitable for learning Data Science?
Theoretically, Python is suitable for everyone as it is one of the easiest programming languages to learn. Based on our experience, the majority of our students can understand and apply the theory to complete the final project and change industry successfully. Students have no worries; However, students should prepare extra time on weekly assignments in order to achieve better academic results.