
edXData analytics isn't one step—it's a carefully orchestrated chain. This course maps the full journey: collecting raw data, extracting what matters, integrating sources, and cleansing for quality. You'll move from understanding these mechanics to applying basic machine learning, all grounded in Python.
The course treats each phase as equally critical. A poorly cleansed dataset will cripple your models downstream, and without solid integration practices, you're comparing apples to oranges. You'll also explore data security and privacy—not as an afterthought, but as a built-in requirement. By course end, you'll see analytics not as isolated techniques, but as an interconnected value chain.
Foundations of Data Analytics: This course will provide fundamental techniques for data analytics, including data collection, data extraction, data integration, data cleansing, and basic machine learning techniques. The learners will learn how to manage and optimize the analytics value chain, including collecting and extracting the suitable values, selecting the right data processing, integrating the data from various resources, with programming tools such as Python. This course will also introduce data security and privacy.
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