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| Why Study Python for Analytics? |
In current global economies, data has become the foundation of solving business problems or making critical decisions. Data analytics empowered by Python programming skills will provide you, as a professional, as well as the organisation you work for, a competitive edge in the market. The Python for Analytics programme will assist you in building your Python programming and data analytics skills for use in business decision-making or problem solving.
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| DURATION |
3 Months,
5-7 hours per week |
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Python has become the most popular programming language in the data science world, and is used by global companies.* Python has also proven to be beneficial to financial advisors, data journalists, digital marketers, and product managers responsible for researching market opportunities.
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*Source – IEEE Spectrum |
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| 147,000+ |
| packages in Python’s package repository mean you don’t have to reinvent the wheel to implement your code and make Python one of the most versatile (and popular) programming languages. |
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SOURCE: DZONE
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| 40% |
| of developers use Python and 25% want to learn it, according to Stack Overflow. |
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SOURCE: THE ECONOMIST
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| Master Python for Analytics |
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Gain a practical, hands-on understanding of the tools and skills necessary to perform data analysis and visualization using Python. Following the successful completion of the Python for Analytics programme, participants will be able to:
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Explore how to install and use packages such as Pandas, SciPy, NumPy & Matplotlib |
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Create, manipulate, and extract insights from data using DataFrames |
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Know how to gain business insights by visualizing data using various plots with Matplotlib, NumPy, SciPy, and Pandas |
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Comprehend the foundations of predictive analytics through the basics of probability, statistics, and risk analysis |
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Flexible payment options starting from USD 504 available now.
Get in touch with your Programme Advisor 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.
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Emeritus Institute of Management | Committee for Private Education Registration Number 201510637C | Period: 29 March 2018 to 28 March 2022.
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