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PYTHON PROGRAMMING FOR DATA ANALYTICS
Top Data Science Institute in Asia
Python Programming | Machine Learning|Data Analytics
JOINTLY OFFERED BY
WHY US
- Taught By Leading Singaporean Data Scientists (Many Whom Are Ph.Ds) Working On Existing Data Science and A.I Projects With MNCs and Government Bodies
- Recognised and Unique Certification Design
- Supporting Companies And Data Science Networks Have Access To Real Jobs
- Short And Compact Curriculum Targeted For Industry Readiness In Shortest Time
- Strong Alumni Support (More than 300 Professionals)
UNIQUE CERTIFICATION DESIGN
This certification model is uniquely designed by founders of Research Room (rR)*, who are industry leaders in Data Science, Artificial Intelligence, Machine Learning and Deep Learning. The programme is well-supported by a network of experienced Data Scientists and Analysts. Course is short and compact, targeted to get you industry ready and certified within the shortest time, working around your busy schedule.
* Research Room (rR) Pte Ltd is an AI consulting and implementation group that was co-founded by a team of Singaporean Ph.Ds who have worked on bespoke implementations of data driven strategies and I.T. solutions that delivers complex prediction and decision making capabilities to thousands of clients and organizations.
WHAT WILL YOU LEARN
- Learn essential Python programming techniques for data analysis.
- Learn essential data wrangling techniques – import, inspect, clean, merge, and transform data.
- Learn how to present data and insights with visualizations.
- Apply all the learned techniques on real-world datasets and use-cases.
AFTER COMPLETING THIS PROGRAMME, YOU SHOULD BE ABLE TO
- Perform the essential techniques of a Data Analyst such as Data Wrangling using Python (Number 1 Coding Language in The World)
- Make Better and Informed Business Decisions Using Data
- Identify Business Risks from Data
- Analyse Data on Processes and Generate Recommendations to Improve Efficiency and Productivity
- Present Findings and Insights from the Above with the Appropriate Visualization Techniques and Tools such as matplotlib, plotly, seaborn, etc.
Industry Leaders
Instructors @ Metaskills are industry leaders and have over decades of researching and practical industry experience within their respective disciplines such as Digital Marketing, E-commerce, amongst others.
Passionate Instructors
Our instructors are carefully selected and have more than 30 years of professional teaching experience at corporate training, executive training, Masters and even Doctoral levels. They are reputed for their passion and clarity in simplifying difficult concepts for entry level learners.
Industry recognised
Every certification is meticulously designed to ensure high industry relevancy and are well supported by a network of reputable organisations with the aim of developing talents to place our students at the forefront of the 4th Industrial Revolution.
FACULTY
DR KE JINGHAO
CEO, METASKILLS INSTITUTE
Expertise: Data Analytics | Data Science | Artificial Intelligence | Machine Learning | Business Intelligence
DR JACK HONG
Consultant, Metaskills Institute
Expertise: Data Science | Artificial Intelligence | Machine Learning | Deep Learning | Business Intelligence | Leadership
Evelyn
Consultant, metasksills institute
Expertise: Six Sigma | Scrum | Data Science | Machine Learning | Business Intelligence | Digital Skills
dr jonathan khoo
consultant, metaskills institute
Expertise: Data Science | Artificial Intelligence | Machine Learning | Deep Learning | Business Intelligence
DURATION
- Total training hours: 30 hours (2 Sessions)
- This programme is conducted over 2 blocks where each block is conducted over 2 weekday evenings (7 pm to 10.30 pm) and a full Saturday (9 am to 6 pm).
- Lessons for overseas students will be conducted over Zoom where students will join the live sessions taught in Singapore.
September 2022 Run 27
Session 1 (15 hours)
Class 1: 22/09/22 (7 p.m to 10 p.m)
Class 2: 23/09/22 (7 p.m to 10 p.m)
Class 3: 24/09/22 (9 a.m to 6 p.m)
Session 2: (15 hours)
Class 1: 06/10/22 (7 p.m to 10 p.m)
Class 2: 07/10/22 (7 p.m to 10 p.m)
Class 3: 08/10/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 31/03/22 (7 p.m to 10 p.m)
Class 2: 01/04/22 (7 p.m to 10 p.m)
Class 3: 02/04/22 (9 a.m to 6 p.m)
Session 2: (15 hours)
Class 1: 14/04/22 (7 p.m to 10 p.m)
Class 2: 15/04/22 (7 p.m to 10 p.m)
Class 3: 16/04/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 28/07/22 (7 p.m to 10 p.m)
Class 2: 29/07/22 (7 p.m to 10 p.m)
Class 3: 30/07/22 (9 a.m to 6 p.m)
Session 2: (15 hours)
Class 1: 11/08/22 (7 p.m to 10 p.m)
Class 2: 12/08/22 (7 p.m to 10 p.m)
Class 3: 13/08/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 23/06/22 (7 p.m to 10 p.m)
Class 2: 24/06/22 (7 p.m to 10 p.m)
Class 3: 25/06/22 (9 a.m to 6 p.m)
Session 2: (15 hours)
Class 1: 07/07/22 (7 p.m to 10 p.m)
Class 2: 08/07/22 (7 p.m to 10 p.m)
Class 3: 09/07/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 19/05/22 (7 p.m to 10 p.m)
Class 2: 20/05/22 (7 p.m to 10 p.m)
Class 3: 21/05/22 (9 a.m to 6 p.m)
Session 2: (15 hours)
Class 1: 02/06/22 (7 p.m to 10 p.m)
Class 2: 03/06/22 (7 p.m to 10 p.m)
Class 3: 04/06/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 31/03/22 (7 p.m to 10 p.m)
Class 2: 01/04/22 (7 p.m to 10 p.m)
Class 3: 02/04/22 (9 a.m to 6 p.m)
Session 2: (15 hours)
Class 1: 14/04/22 (7 p.m to 10 p.m)
Class 2: 15/04/22 (7 p.m to 10 p.m)
Class 3: 16/04/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 17/02/22 (7 p.m to 10 p.m)
Class 2: 18/02/22 (7 p.m to 10 p.m)
Class 3: 19/02/22 (9 a.m to 6 p.m)
Session 2: (15 hours)
Class 1: 03/03/22 (7 p.m to 10 p.m)
Class 2: 04/03/22 (7 p.m to 10 p.m)
Class 3: 05/03/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 17/02/22 (7 p.m to 10 p.m)
Class 2: 18/02/22 (7 p.m to 10 p.m)
Class 3: 19/02/22 (9 a.m to 6 p.m)
Session 2: (15 hours)
Class 1: 03/03/22 (7 p.m to 10 p.m)
Class 2: 04/03/22 (7 p.m to 10 p.m)
Class 3: 05/03/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 06/01/22 (7 p.m to 10 p.m)
Class 2: 07/01/22 (7 p.m to 10 p.m)
Class 3: 08/01/22 (9 a.m to 6 p.m)
Session 2 (15 hours)
Class 1: 20/01/22 (7 p.m to 10 p.m)
Class 2: 21/01/22 (7 p.m to 10 p.m)
Class 3: 22/01/22 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 11/11/21 (7 p.m to 10 p.m)
Class 2: 12/11/21 (7 p.m to 10 p.m)
Class 3: 13/11/21 (9 a.m to 6 p.m)
Session 2 (15 hours)
Class 1: 25/11/21 (7 p.m to 10 p.m)
Class 2: 26/11/21 (7 p.m to 10 p.m)
Class 3: 27/11/21 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 07/10/21 (7 p.m to 10 p.m)
Class 2: 08/10/21 (7 p.m to 10 p.m)
Class 3: 09/10/21 (9 a.m to 6 p.m)
Session 2 (15 hours)
Class 1: 21/10/21 (7 p.m to 10 p.m)
Class 2: 22/10/21 (7 p.m to 10 p.m)
Class 3: 23/10/21 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 09/09/21 (7 p.m to 10 p.m)
Class 2: 10/09/21 (7 p.m to 10 p.m)
Class 3: 11/09/21 (9 a.m to 6 p.m)
Session 2 (15 hours)
Class 1: 23/09/21 (7 p.m to 10 p.m)
Class 2: 24/09/21 (7 p.m to 10 p.m)
Class 3: 25/09/21 (9 a.m to 6 p.m)
Session 1 (15 hours)
Class 1: 12/08/21 (7 p.m to 10 p.m)
Class 2: 13/08/21 (7 p.m to 10 p.m)
Class 3: 14/08/21 (9 a.m to 6 p.m)
Session 2 (15 hours)
Class 1: 26/08/21 (7 p.m to 10 p.m)
Class 2: 37/08/21 (7 p.m to 10 p.m)
Class 3: 28/08/21 (9 a.m to 6 p.m)
COURSE FEES
Normal price : SGD 1,800 or USD 1,350 per participant
Fee includes a Certificate in Python Programming for Data Analytics after completion and completion of assessment. Our consultants will be happy to share with you further on financing arrangements and or discounts for your country of origin.
Country and Consultants:
Singapore Consultant/s:
Whatsapp Dr Ke Jinghao or JJ Contact Number: +65 9690 0470
Malaysia Consultant:
Whatsapp JJ at +65 9690 0470
Where Our Students Work At
Main Education Partners
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our Courses
Career Networking
Metaskills regularly organises networking events in Singapore for our alumni and industry partners to facilitate knowledge exchanges, business and career opportunities for our participants.
Diploma Courses
All our courses have been approved by Singapore's Committee for Private Education (CPE) and stackable towards a Diploma in Digital Marketing Specialist (under Stag Match Institute)
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