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Course Details
Day 1
Topic 1 - Python Fundamental
Topic 1.1 Get Started on Python
- Overview of Python
- Set Python
- Code Your First Python Script
Topic 1.2: Data Types
- Number
- String
- List
- Tuple
- Dictionary
- Set
Topic 1.3 Operators
- Arithmetic Operators
- Compound Operators
- Comparison Operators
- Membership Operators
- Logical Operators
Topic 1.4 Control Structure, Loop and Comprehension
- Conditional
- Loop
- Iterating Over Multiple Sequences
- Comprehension
Topic 1.5 Function
- Function Syntax
- Return Values
- Default Arguments
- Variable Arguments
- Lambda, Map, Filter
Topic 1.6 Modules & Packages
- Import Modules and Packages
- Python Standard Packages
- Third Party Packages
Day 2
Topic 2 - Data Analytics and Visualization with Python
Topic 2.1 Data Preparation
- Data Analytics with Pandas
- Pandas DataFrame and Series
- Import and Export Data
- Filter and Slice Data
- Clean Data
Topic 2.2 Data Transformation
- Join Data
- Transform Data
- Aggregate Data
Topic 2.3 Data Visualization
- Data Visualization with Matplotlib and Seaborn
- Visualize Statistical Relationships with Scatter Plot
- Visualize Categorical Data with Bar Plot
- Visualize Correlation with Pair Plot and Heatmap
- Visualize Linear Relationships with Regression
Topic 2.4 Data Analysis
- Statistical Data Analysis
- Time Series Analysis
Topic 2.5 Advanced Data Analytics
- Data Piping
- Groupby and Apply Custom Functions
- Linear Regression
Day 3
Topic 3 Machine Learning with Scikit Learn
Topic 3.1 Overview of Machine Learning and Scikit Learn
- Introduction to Machine Learning
- Supervised vs Unsupervised Learnings
- Machine Learning Applications and Case Studies
- What is Scikit Learn
- Installing Scikit-Learn
Topic 3.2 Classification
- What is Classification
- Classification Algorithms
- Classification Workflow
- Confusion Matrix
- Binary Classification Metrics
- ROC and AUC
Topic 3.3 Regression
- What is Regression?
- Regression Algorithms
- Regression Workflow
- Regression Metrics
- Overfitting and Regularizations
Topic 3.4 Clustering
- What is Clustering
- K-Means Clustering
- Silhouette Analysis
- Dendrogram and Hierarchical Clustering
Topic 3.5 Principal Component Analysis
- Curse of Dimensionality Issue
- What is Principal Component Analysis (PCA)
- Feature Reduction with PCA
Day 4
Topic 4 Basic Neural Network with Tensorflow
Topic 4.1 Introduction to Deep Learning
- Machine Learning vs Deep Learning
- Deep Learning Methodology
- Overview of Tensorflow Keras
- Install and Run Tensorflow Keras
- Basic Tensorflow Keras Operations
Topic 4.2 Neural Network for Regression
- What is Neural Network (NN)?
- Loss Function and Optimizer
- Build a Neural Network Model for Regression
Topic 4.3 Neural Network for Classification
- One Hot Encoding and SoftMax
- Cross Entropy Loss Function
- Build a Neural Network Model for Classification
Day 5
Topic 5 Advanced Neural Networks with Tensorflow
Topic 5.1 Convolutional Neural Network (CNN)
- Introduction to Convolutional Neural Network?
- ImageDataGenerator
- Image Classification Model with CNN
- Data Augmentation and Dropout
Topic 5.2 Transfer Learning
- Introduction to Transfer Learning
- Applications of Pre-Trained Models
- Fine Tuning Pre-Trained Models
Topic 5.3 Recurrent Neural Network (RNN)
- Introduction to Recurrent Neural Network (RNN)
- LSTM and GRU
- Build a RNN Model for Time Series Forecasting
- Build a RNN Model for Sentiment Analysis
Course Info
Prerequisite
The learner must meet the minimum requirement below :
- Read, write, speak and understand English
Target Audience
- NSF
- Full Time Students
- Data Analysts
Software Requirement
This course will use Google Colab for training. Please ensure you have a Google account.
Job Roles
- Data Analysts
- Machine Learning Engineers and Developers
Trainers
Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products
Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book prizes, Study awards, bursaries and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.
Dr. Alfred Ang is a ACTA certified trainer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.
Wee Chee Hong is a veteran consultant in the field of Engineering Design. He has over 20 years experience in electronics/ IT industry with several MNCs including Compaq, Adaptec, Agilent, etc., with specialization in Automation System Design (drilling/ milling machine, 3D machine automation, machine data collection, test & measurement electronics design), Motion control design & applications. With wide technical skill set in development language/ tools .Net, Java, PowerBuilder to C++/ C/C#, he has also strong knowledge in development of firmware for microcontroller such as PIC, ARM and others.
Chee Hong graduated with a B.Eng degree in Electrical Electronics Engineering and holds a Master Degree of Technology from NUS.
Dr. Ravi Kumar Tiwari got his PhD from NUS (Chemical Engineering) in 2013. After graduation, he worked 3 years as a research scientist in the Institute of High Performance Computing (IHPC). He is currently a big data R data analyst in Rakuten. His core skills are R, big data, Hadoop and machine learning.
Dr. Sudipta Samanta received his Ph.D. for his research in the field of computational Biophysics in 2009. He has more than 9 years research experience as a scientist. His current interests include Machine Learning, Deep Learning, Health Care Data analysis, and computer simulation. He is also the founder of "Baby Lion Organic medicinal Farm".
Pushparaj Murugan has more than five years of research experiences in Industrial automation. He is specialized in Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, SciKit-Learn, Tensorflow, Keras, Theano, etc. He had his experience working for Caterpiller inc. in developing a user interface using Matlab programming combining finite element analysis. In addition, he also worked for ARDB (Aeronautical Research and Development Board) and DRDO ( Defence Research and Development Organisation) in India on various research projects. He is currently doing his research at Nanyang technological university for Rolls Royce intelligence manufacturing section. He is working on automation of robotic abrasive belt grinding process using deep learning frameworks such as CNN and LSTM.
Dr. Yongxin (Steve) has more than five years of solid industrial and research experiences in data analytics. He held PdD on operations research in National University of Singapore. After his Phd study, he worked as data analyst and scientist in manufacturing and commodity trading companies. He is specialized in analyzing, visualizing and mining complex time series data using Python tools sucha as Pandas, Numpy, Matplotlib, SK-Learn, Tensorflow etc. He did research on predictive analytics on various systems e.g., Forex and commodity trading, system performance prediction, machine maintenance, etc. Besides data analytics using Python, he also extended his expertise in Microsoft Excel VBA, Hadoop big data platforms such as AWS and Microsoft Azure. In addition, he is strong in mathematical modelling and has cross-disciplinary domain knowledge in operations research, currency and commodity trading and industrial automation.
Ming Liang is an up-and-coming developer with expertise ranging from deep learning to hardware like the raspberry pi. He specialises mostly in the area of data science and machine learning and has won several hackathons and is ranked highly in international competitions. Furthermore, he has also done projects as part of the maker community in Singapore and build his own 3D printer as well
Sunny Prakash is a Big Data Architect with Programming Background . He has around 7 years of IT experience. He has worked on Various Enterprise level solution. He is skilled in Cloud computing and Big Data Solution building in various Industrial sector and domain.
With an Strong background in Coding skills, he has a strong grips on Java,Python ,Scala ,HTML,JavaScript, Node Programming. Data Science is another specification where he has worked with larger Enterprises for finding their Data Insight and building Machine Learning mode
Customer Reviews (12)
- will recommend Review by Course Participant/Trainee
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. (Posted on 8/31/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Very good Review by Course Participant/Trainee
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Very good (Posted on 8/29/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Mr Quah is knowledgeable and explain the subject clearly. Review by Course Participant/Trainee
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Mr Quah is knowledgeable and explain the subject clearly. (Posted on 8/29/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - I got to know Alvin during a 5 Day ML Specialisation course under Tertiary Courses, Review by Course Participant/Trainee
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I got to know Alvin during a 5 Day ML Specialisation course under Tertiary Courses, and really enjoyed the way that he managed to bring real-life intuition of typically dry programming concepts such as variables and syntaxes into his teaching style. Also, he value-adds to his teaching style by also recommending useful resources in which we could use to brush up our Python programming skills, as well as sharing a bit of the current data science landscape in Singapore. It is rare to find such a dedicated teacher who's willing to share this much with his students :) (Posted on 8/23/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin has vast knowledge about Python. Review by Course Participant/Trainee
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Dr Alvin has vast knowledge about Python. He shared his knowledge and experiences with trainees. He also shared use cases to bring the subject closer to the trainees. (Posted on 8/23/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Alvin is an examplary course instructor with a wealth of knowledge Review by Course Participant/Trainee
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Alvin is an examplary course instructor with a wealth of knowledge. I had attended his 5 Day Machine Learning Specialization course under Tertiary Education) Courses. He comprehensively structured, focused on and summerized key complex concepts into more manageable bite sized pieces allowing us to better absorb and understand these concepts. At the same time, he shares his personal, domain and industry knowledge with us, allowing us to glean invaluable insights, all whilst injecting a touch of humour and wholesome vibrancy into his lessons. He is a very dedicated, approachable and passionate course instructor, and I am thankful for his teachings. (Posted on 8/23/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin is one of my trainers for 5 Days Machine Learning Specialization Review by Course Participant/Trainee
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Dr Alvin is one of my trainers for 5 Days Machine Learning Specialization, he teach Day 1 and 2 Python course. He is very professional and highly engaging in teaching us in an enlightened manner. He is very patient with us and ensure that all of us understand what is being taught. I hope that many others could tap on his knowledge on data science. (Posted on 8/23/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin Ang passionate teaching method make this course fun Review by Course Participant/Trainee
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Dr Alvin Ang passionate teaching method make this course fun and interesting. We managed to learn a lot from him in this past few days. (Posted on 8/23/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin had conducted the course with passion, very interesting and useful, really appreciated! Review by Course Participant/Trainee
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Dr Alvin had conducted the course with passion, very interesting and useful, really appreciated! (Posted on 8/23/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin is knowledgeable and provide many valuable advices in class. Review by Course Participant/Trainee
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Dr Alvin is knowledgeable and provide many valuable advices in class. (Posted on 8/23/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 2/25/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - A highly recommend course Review by Course Participant/Trainee
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Both Steve and Richard are knowledgeable and they are patience in answering my questions. The training material is also quite up to date. Several tough topics that related to ConvNet are breakdown into easy to understand manners. (Posted on 11/17/2020)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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