OBTAIN YOUR CERTIFICATE IN PYTHON PROGRAMMING FOR DATA SCIENCE TODAY!

WORLD’S FIRST AND ONLY BELT SYSTEM AI TRAINING

Everybody in this country should learn to program a computer because it teaches you how to think

– Steve Jobs, Founder of Apple

Python is an easy to learn programming language, which will open up limitless career pathways in Machine Learning/Artificial Intelligence, FinTech, Data Analytics, Web Technologies and IoT after you have mastered it.

For individuals in any profession who are looking to upgrade themselves professionally, learning programming is no longer a good to have but an absolutely essential skill in a rapidly changing economy. It not only provides you with more career flexibilty but will also hone in you problem solving and cognitive skills necessary to tackle the most difficult and complex problems faced in society and tomorrow’s world.

No background experience required!

Do not hesitate further as you sign up now for JCube’s Certificate in Python Programming for Data Science as part of your progression towards a Certified Data Analyst, Certified Digital Scientist, Applied Machine Learning or a Certified Digital Manager, Applied Machine Learning today!

Why Choose JCube Institute?

Designed by our veteran team of Ph.D.s with deep expertise in applied machine learning, our programme cuts away unnecessary content and trains you using real-world hands-on assignments to keep you abreast in your industry

INDUSTRY RECOGNISED TRAINING AND CERTIFICATION LEADING TO HIGH DEMAND JOBS

With over 8 years working on bespoke implementations of data driven strategies that delivers complex prediction and decision-making capabilities to thousands of clients and organizations, our faculty and consultants together with the organizations that we develop solutions for, will ensure that certification and training standards remain high and relevant. We are therefore confident that every certified individual will be well equipped to either advance their careers in their existing jobs or find a new opportunities in Digital Jobs at top organizations like Google, Tesla, Mckinsey, P&G, Certis, amongst others. Placement opportunities and scholarships will also be available through our sponsoring organisations for selected candidates at a later stage of certification.

UNIQUE AND REVOLUTIONARY BELT SYSTEM TRAINING METHODOLOGY (PATENT PENDING)

The Certificate in Python Programming course is part of a well-rounded training and methodical certification journey that covers both managerial and technical aspects throughout the entire certification process. Students learn the entire digital science value chain right from the start. Subsequent belts are focused at increasing the level of mastery of each component of the data science value chain. Students are grounded in digital science foundations starting from Python programming and will be trained to learn new ‘forms’ and tools such as Scikit-learn, Tensorflow, Pytorch, etc, on-the-fly later. Course is short and compact, targeted to get you industry ready and certified within the shortest time and working around your busy schedule.

LEARN PYTHON FROM PASSIONATE INDUSTRY EXPERTS

Our faculty are handpicked and are among the most respected and passionate practitioners in the field of digital science and transformation. Their expertise provides the highest quality of instruction to learners for Python programming. Faculty also teach Data Science at renowned Universities at Undergraduate, Masters and Doctoral Levels, Masterclasses and Professional Training and are known to be the best teachers who are patient and experienced in simplifying difficult concepts for learners to grasp easily. 5/5 ratings

LEARNING SCHOLARSHIPS/CORPORATE SUBSIDIES AND FLEXIBLE FINANCING OPTIONS

In order to make our courses more accessible to the public, JCube has a wide range of financing options to ensure that no individual is deprived of the opportunity to learn and gain access to jobs in this area. Speak to our consultants today to find out more.

CONVENIENT AND ACCESSIBLE

JCube Institute is conveniently sited on the 5th floor (Spectrum) in central Singapore, DUO Tower, a landmark location within a key growth area that is within close proximity to the financial districts of Raffles Place and Marina Bay, yet outside the Central Business District (CBD) Electronic Road Pricing (ERP) Gantry. Other training locations are also in town and easily accessible by MRT or Buses.

Faculty

DR. JACK HONG
DR. JACK HONGPROGRAMME DIRECTOR/LEAD FACULTY
Co-founder of Research Room, an AI consulting and development outfit that delivers decision-making capabilities for complex use-cases, Dr. Hong specializes in developing prediction and decision engines with the use of alternative data. Some of his notable works include omni-channel content personalization systems, manpower resource optimization using deep reinforcement learning, real estate valuation engines, and highly personalized portfolio strategies using applied artificial intelligence (AI). Dr. Hong is concurrently an adjunct faculty with the Singapore Management University (SMU), and has been actively teaching undergraduate, postgraduate, and professional programmes since 2015. He is the lead instructor for the highly acclaimed “Leading Digital Transformation” course for MBA students.
DR. KE JINGHAO
DR. KE JINGHAOCO-LEAD FACULTY
Dr. Ke has led and managed teams to design, construct and maintain corporate governance indices with Singapore Management University (SMU)’s Sim Kee Boon Institute for Financial Economics. He also participated in business consulting and data analytics projects for SMEs through the UOB-SMU Asian Enterprise Institute. He is concurrently adjunct faculty with SMU and he develops course syllabus and instructs Finance and International Finance at the Undergraduate level. Dr. Ke is a full-stack analytics programmer in Python and has also worked with various analytics stacks such as R, SAS, Microsoft Analytics and Stata. Dr. Ke received his Ph.D. in Business (Finance) from SMU in 2015 with his research dissertation and interests in corporate finance, incentives design, social networks, corporate governance and natural language programming.
DR. JONATHAN KHOO
DR. JONATHAN KHOOCO-LEAD FACULTY
Jonathan Khoo, Ph.D. is a full-stack app developer who likes building stuff. He has published papers in Genetic Programming and has a working paper in Energy Prediction. He has successfully delivered many projects on bespoke implementations of data driven strategies that delivers complex prediction and decision-making capabilities to many large organizations. Khoo obtained his Doctor of Philosophy in Business (Finance) at the Singapore Management University. His dissertation thesis investigates corporate finance through the lens of social network graph analytics, where he found a statistically significant “ownership centrality” effect in firm performance. Prior to that, he completed his Masters in Industrial Engineering and Operations Research at the University of Michigan (Ann Arbor), a year after he received degrees with Highest Honors in Economics and Summa Cum Laude in Electrical Engineering. He is an alumnus of Raffles Institution and Hwa Chong Institution.
QIANYU
QIANYUASSISTANT TRAINER
Qian Yu is an Assistant Trainer/Coach at JCube Institute. His interest in Data Analytics and Artificial Intelligence (A.I.) has led him to embark on projects in the varied domains ranging from EdTech to Computer Vision, Natural Language Communication, and social analytics. Combining his passion in healthcare and experience in utilizing data, he and his team engaged NTUC Health to analyze the social networks of community dwelling elderly for early intervention measures. Qian Yu loves sharing his knowledge and experience with anyone entering the fields of analytics and AI, believing that the best way to learn is through asking and learning from others.
CAMELLIA
CAMELLIAASSISTANT TRAINER
Camellia is Assistant Trainer/Coach at JCube Institute. She is an Information Systems professional driven to help businesses to create value in their digital transformation journey. She has worked on various projects with clients such as NTUC Health to create a restroom queue management system and collaborated with SAP Leonardo to help waste management companies to automate waste segregation. Camellia is also a Research Assistant working on solutions to automate bug detection, identification, and correction in the realm of Machine Learning projects. The research pushes the pinnacle of Artificial Intelligence by building State of the Art (SOTA) tools and models to address programming bugs, with the aim of setting a new benchmark for Machine Learning world.

Course Details

JULY 2020

20 hours classroom
20 hours online (self-study+projectwork)
10 hours personalised e-coaching

Normal price SGD 3,500
After subsidies, SGD 1888 

Basic

To be confirmed. (Option For Online Interactive Classes available)

Schedule

Run 1 Schedule:

Class 1: 01/06/20 (7 p.m to 10 p.m)
Class 2: 03/06/20 (7 p.m to 10 p.m)
Class 3: 15/06/20 (7 p.m to 10 p.m)
Class 4: 17/06/20 (7 p.m to 10 p.m)
Class 5 : 29/06/20 (7 p.m to 10 p.m)
Class 6 : 01/07/20 (7 p.m to 10 p.m)

Participants continuing Certified Data Analyst, please click Certified Data Analyst for more training dates.

Run 2 Schedule:

Class 1: 02/06/20 (7 p.m to 10 p.m)
Class 2 : 04/06/20 (7 p.m to 10 p.m)
Class 3: 16/06/20 (7 p.m to 10 p.m)
Class 4: 18/06/20 (7 p.m to 10 p.m)
Class 5: 30/06/20 (7 p.m to 10 p.m)
Class 6: 02/07/20 (7 p.m to 10 p.m)

Participants continuing Certified Data Analyst, please click Certified Data Analyst for more training dates.

Class 1: 06/07/20 (7 p.m to 10 p.m)
Class 2 : 08/07/20 (7 p.m to 10 p.m)
Class 3: 20/07/20 (7 p.m to 10 p.m)
Class 4: 22/07/20 (7 p.m to 10 p.m)
Class 5: 03/08/20 (7 p.m to 10 p.m)
Class 6: 05/08/20 (7 p.m to 10 p.m)

Participants continuing Certified Data Analyst, please click Certified Data Analyst for more training dates.

Participants who complete Certificate in Python Programming may continue their certification with the following classes

Class 7: 13/07/20 (7pm – 10.30pm)
Class 8: 15/07/20 (7pm – 10.30pm)
Class 9: 27/07/20 (7pm – 10.30pm)
Class 10: 29/07/20 (7pm – 10.30pm)
Class 11: 11/08/20 (7pm – 10.30pm)
Class 12: 12/08/20 (7pm – 10.30pm)
Class 13: 24/08/20 (7pm – 10.30pm)
Class 14: 26/08/20 (7pm – 10.30pm)

Participants who complete Certified Data Analyst may continue their certification with the following classes

(To be confirmed)

Class 15: 03/11/20 (7pm – 10.30pm)
Class 16: 05/11/20 (7pm – 10.30pm)
Class 17: 17/11/20 (7pm – 10.30pm)
Class 18: 19/11/20 (7pm – 10.30pm)
Class 19: 01/12/20 (7pm – 10.30pm)
Class 20: 03/12/20 (7pm – 10.30pm)
Class 21: 15/12/20 (7pm – 10.30pm)
Class 22: 17/12/20 (7pm – 10.30pm)

Belt System

  • 1st and only Belt grading system in the world for A.I. Training
  • Well defined learning progression via the Belt grading system
  • Students learn the entire digital science value chain and progress to higher level belts through mastery.
  • Completion of our higher Belt masteries requires students to complete real projects from our industry partners.
  • Completion of these real projects will automatically enhance your employability with these industry partners as future employers.
  • Our Belt system is recognized in the industry and attestation of your skill competency.

Curriculum / Topics

The short and compact course will begin with Python training and will impart all the necessary skillsets to prepare you to become a trained Data Analyst and subsequently a Digital Scientist in Applied Machine Learning. Python is the primary programming language used throughout certification and students will be awarded a Certificate in Python Programming after they complete their basic Python training. There will be a lot of hands-on real-world hands-on assignments given. Proficiencies acquired after this course includes the following:

PYTHON PROFICIENCIES

Python is the primary programming language used throughout this curriculum. Students will be awarded a Certificate in Python Programming after they complete their basic Python training. Topics covered include: Python Set-Up, Python Objects and Data Structures, Python Comparison Operators, Python Statements, Methods and Functions, Object-oriented Programming, Error Handling. Python Decorators and Generators, etc.

DATA PROFICIENCIES

Real-world Datasets will be used for basic assignments. Linear Algebra (Vectors/matrices, linear combinations, Numpy), Data techniques such as inspection/cleaning, transformation and imputation. Introduction to Python Pandas Libraries for Data Science.