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Topic 2. AI in Analytics: A Structured Guide to High-Impact Use Cases

AI in Analytics is already transforming the analytics workflow in practical, high-impact ways: at the…

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Topic 1.  Data Analysts Need AI for Data Analytics

Introduction AI for Data Analytics and the data landscape is evolving rapidly, and Artificial Intelligence…

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  • Data Collection, Formats, and Modelling Techniques

10. A Secret to Data Transformation

What is data transformation In this reading, you will explore how data is transformed and…

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9. Meet Wide and Long Data: Step by Step

This reading outlines the steps the instructor performs in the following lecture, Meet wide and…

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8. Data Table Components: A Quick Overview

Here's a riddle for you. What do a music playlist, a calendar agenda, and an…

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7. Use Boolean logic: AND OR NOT

In this reading, you will explore the basics of Boolean logic and learn how to…

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6. Know the Data Type You’re Working With

By now you've learned a lot about data. From generated data, to collected data, to data…

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  • Data Collection, Formats, and Modelling Techniques

5. Data Modeling Levels and Techniques

This reading introduces you to data modeling and different types of data models. Data models…

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4. Exploration of Structured vs. Unstructured Data

Data is everywhere, and it can be stored in many ways. Two general categories of…

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3. Data Formats in Practice: Know Data Types

When you think about the word "format," many things might come to mind. Think of…