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Combining and Shaping Data
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 28m | 736 MB
Instructor: Janani Ravi



"Combining and Shaping Data"

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Combining and Shaping Data
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 28m | 736 MB
Instructor: Janani Ravi





This course covers both conceptual and practical aspects of pulling together from different data sources, with different schemas and orientations, into a cohesive whole using Excel, Python, and various tools available on the Azure cloud platform.

Connecting the dots between data from different sources is becoming the most sought-after skill these days for everyone ranging from business professionals to data scientists. In this course, Combining and Shaping Data, you will gain the ability to connect the dots by pulling together data from disparate sources and shaping it so that extracting connections and relationships becomes relatively easy. First, you will learn how the most common constructs in shaping and combining data stay the same across spreadsheets, programming languages, and databases. Next, you will discover how to use joins and vlookups to obtain wide datasets, and then use pivots to shape that into long form. You will then see how both long and wide data can be aggregated to obtain higher level insights. You will work with Excel spreadsheets and SQL as well as Python. Finally, you will round out the course by integrating data from a variety of sources and working with streaming data, which helps your enterprise gain real-time insights into the world around you. When you are finished with this course, you will have the skills and knowledge to pull together data from disparate sources, including from streaming sources, to construct integrated data models that truly connect the dots.
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Combining and Shaping Data


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