Course Information
An Enabler for a Career in Data Science
About Partner
A leading data science training academy in Jakarta. Algoritma is founded with the vision of democratizing data science skills and equip every professional with a set of core skills across the various domains of data visualization, regression, data modeling, machine learning, and statistical programming literacy.
Data Visualisation
A fun, hands-on, and project-based specialization that help students gain full proficiency in data visualization systems and tools. Students will be taught on creating compelling narratives by combining charting elements with custom aesthetics.
The course’s capstone project requires the students to build real-world applications under stringent criteria modelled after real business scenarios.
Machine Learning
A careful combination of statistical theory, hands-on coding and programming exercises to help students understand and implement some of the most widely used and fundamental, machine learning algorithms. By building regressors and classifier algorithms from scratch, the students will go beyond applying machine learning models to actually developing their own models — and learn the right approach to fine-tuning the model performance as well as evaluating model fit against unseen data. Upon completion of the workshop, the students will be well versed in an array of important, versatile machine learning algorithms and equipped with the right knowledge to apply them to future datasets in their daily job.
The trainers for this course are:
Terence is a senior lecturer in the School of InfoComm Technology at NP. He has been section head of the mathematics cluster and has taught computing mathematics, discrete mathematics, statistics, maths for games and programming. Convinced of the impact of data analytics, he attended training in data analytics to enrich his existing knowledge. With his 22 years of teaching experience and strong passion to teach & learn, he will continue to further his skills in this area and share them in this bootcamp.
Wesley is a lecturer in the School of Infocomm Technology at Ngee Ann Polytechnic (NP). Prior to joining NP, he has worked in various industries, dealing with defense systems, enterprise applications, web and mobile applications. Wesley is currently training learners in the domain of programming, SCRUM, Android development and data science.
Charis is a lecturer in the School of Infocomm Technology at NP and has taught computing math, statistics, and programming. She has bridged these two areas by being trained in data analytics and continues to further her skills in this area.
Learning Outcomes
This course aims to develop full stack capability with emphasis on employability in Data Science. The bootcamp seeks to develop highly employable data science skills that is much sought after by the industry. Participants will be trained in 2 areas of specialisation: Data Visualisation and Machine Learning._x000D_
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Course
Schedule
Monday, 6:30 pm to 10:00 pm
Tuesday, 6:30 pm to 10:00 pm
Wednesday, 6:30 pm to 10:00 pm
Thursday, 6:30 pm to 10:00 pm
Application: 8 Jul to 6 Sep 2020_x000D_
Course Date: 5 Oct 2020 to 22 Jan 2021_x000D_
15 weeks part -time comprising of:_x000D_
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- 10 weeks of 4 evening classes per week (Mon-Thu/6.30pm to 10pm)
- 4 weeks of self-paced capstone project preparation (consultation once per week
- 1 demo day (evening)
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Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Lesson Plan
This course consists of 3 modules:
Programming for Data Science_x000D_
– Data Science in R_x000D_
– Data Manipulation_x000D_
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Practical Statistics_x000D_
– Descriptive Statistics_x000D_
– Inferential Statistics_x000D_
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Data Visualization in R_x000D_
– Plotting Essentials_x000D_
– Richer Visualization Techniques_x000D_
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Interactive Plotting & Web Dashboard_x000D_
– Interactive Visualization_x000D_
– Web Dashboard Development_x000D_
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Data Visualization Capstone Project
Regression Models 1 & 2_x000D_
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Classification in Machine Learning 1 _x000D_
-Logistics Regression_x000D_
– Nearest Neighbours Algorithm_x000D_
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Classification in Machine Learning 2_x000D_
– Naïve Bayes_x000D_
– Tree-Based Methods and Ensembles_x000D_
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Unsupervised Machine Learning_x000D_
– Dimensionality Reduction_x000D_
– K-Means Clustering_x000D_
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Times Series
and Forecasting Neural Network and Deep Learning Machine Learning Capstone Project
Trainer's Profile
Terence is a senior lecturer in the School of InfoComm Technology at NP. He has been section head of the mathematics cluster and has taught computing mathematics, discrete mathematics, statistics, maths for games and programming. Convinced of the impact of data analytics, he attended training in data analytics to enrich his existing knowledge. With his 22 years of teaching experience and strong passion to teach & learn, he will continue to further his skills in this area and share them in this bootcamp.
Certification
Certificate of Performance jointly issued by NP and Algoritma to participants who achieve at least 75% attendance and pass assessments.
Course Fees
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Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review._x000D_
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For more information on other subsidies, please click here. _x000D_
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| Applicants / Eligibility | Fees |
|---|---|
| Singapore Citizens (SC) below the age of 40 years | $1926.00 |
| Singapore Citizens (SC) aged 40 and above | $1926.00 |
| Singapore Permanent Residents (PR) | $1926.00 |
| Enhanced Training Support for SME Scheme (for SC & SPR) | $726.00 |
| Full Fees | $6420.00 |