Across the world, and industries, data science is in demand, and is receiving an increasing attention due to its research and application significance. Modern professionals are recognising the need to acquire skills in data science to stay relevant in the increasingly digital economy.
DurationAcross the world, and industries, data science is in demand and is receiving an increasing attention due to its research and application significance. Modern professionals are recognising the need to acquire skills in data science to stay relevant in the increasingly digital economy.
This introductory course provides a basic overview of data science which consists of data acquisition, data preparation, data analysis, data science modeling, and data visualisation. Participants can expect to learn the basic knowledge of data science and how data science can be applied in real life.
To go deeper into Data Science, you may wish to consider the ModularMaster in Data Science which covers a myriad of specialised topics in Data Science.
Learning Objectives:
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This course is intended for anyone who wants to stretch their data analysis capabilities using Microsoft Excel starting with a block of data to a table of data, going beyond just functions and formulas, and picking up more advanced capabilities leading to data preparation
Power BI is quickly becoming the world’s most powerful self-service business intelligence platform, and an absolutely essential tool for Data Professionals and beginners alike.
This course teaches you how to write SAS programs that use ODS Graphics to produce high-quality data visualizations. ODS Graphics is part of Base SAS.
Participants will acquire the skills related to the implementation of unsupervised learning algorithms such as k-means clustering and other analytical methods such as correlation analysis and association rules to derive insights from their data.
Data analysis is abstract and strictly not math alone. It requires a hands-on approach in order to truly understand the pitfalls good analysts will face. And in today’s business world, data analysis is not limited to data scientists.
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