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Gain hands-on coding experience in NUS Business School’s Python for Analytics- programme

Emeritus on behalf of NUS Business School

Programme Details
STARTS ON 16 May 2022
DURATION 3 Months, Online8-10 hours per week
PROGRAMME FEES USD 1,400*GST payable for Singapore residents
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Leveraging your organisation’s data collection is crucial to achieving success. But without the ability to analyse your data and extract essential insights, real value cannot be created. That’s where Python proficiency makes a difference—and why it’s so in-demand.

In NUS Business School’s Python for Analytics programme, you can gain the hands-on coding experience you need to drive your professional development and decision-making—no prior programming knowledge required. Whether you want to enhance your performance in your current field or make a career change, mastering one of the fastest-growing programming languages can give you the boost you need to meet your goals.
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Is This Programme Right for Me?
Roles of participants may include, but are not limited to: 
● Managers across domains and industries, including digital marketing, product development and CRM
● Business or financial analysts, software or systems engineers
● Small business owners and entrepreneurs, career changers looking to hone their data science skillset
Flexible payment options starting from USD 588 available now. Get in touch with your Programme Adviser to know more.
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NUS Business School is collaborating with online education provider Emeritus to offer a portfolio of high-impact online programmes. Working with Emeritus gives NUS Business School the advantage of broadening its access beyond their on-campus offerings in a collaborative and engaging format that stays true to the quality of NUS Business School. Emeritus’ approach to learning is based on a cohort-based design to maximise peer-to-peer sharing and includes video lectures with world-class faculty and hands-on project-based learning.Emeritus Institute of Management | Committee for Private Education Registration Number 201510637C | Period: 29 March 2022 to 28 March 2026.

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