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%%first_name%% - Python for Analytics from NUS Business School
| | | | | | | 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. | | | | | |  | | DURATION | | 3 Months,5-7 hours per week | | | | | | | | | | | | | | 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. |
*Source – IEEE Spectrum | | | 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. | | SOURCE: DZONE | | | 40% | | of developers use Python and 25% want to learn it, according to Stack Overflow. | | SOURCE: THE ECONOMIST | | | | | | | Master Python for Analytics | | 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: | | Explore how to install and use packages such as Pandas, SciPy, NumPy & Matplotlib | | | Create, manipulate, and extract insights from data using DataFrames | | | Know how to gain business insights by visualizing data using various plots with Matplotlib, NumPy, SciPy, and Pandas | | | Comprehend the foundations of predictive analytics through the basics of probability, statistics, and risk analysis | | | | | Flexible payment options starting from USD 504 available now. | | | | | 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 2018 to 28 March 2022. | | | |
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