Advanced Analytics and Ethics in Business Analytics

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Chris Behrens

3:30:42

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1. Course Overview

1. Course Overview.mp4

02:10

2. Overview of Techniques and Ethics in Business Analytics

1. Business Analytics Overview and Applications.mp4

02:51

2. Relevance of Business Analytics.mp4

01:51

3. Ethics in Business Analytics.mp4

02:19

4. Business Analytics Techniques - Major Categories.mp4

02:01

5. Business Analytics Techniques - Specific Techniques.mp4

03:27

6. Use Case - Understanding Ethics and Techniques in Business Analyt.mp4

03:52

03. Predictive Analytics and Data Mining - Forecasting, Uncovering Data Patterns

01. Predictive Analytics Overview.mp4

02:58

02. Tools for Predictive Analytics.mp4

01:47

03. Demonstration - Predictive Analytics Techn.mp4

03:44

04. Demonstration - Predictive Analytics Techn.mp4

02:34

05. Data Mining Overview.mp4

04:06

06. Tools for Data Mining.mp4

01:33

07. Demonstration - Data Mining Techniques in .mp4

03:29

08. Demonstration - Data Mining Techniques in .mp4

01:42

09. Ethical Considerations - Predictive Analyt.mp4

01:25

10. Real-world Examples - Predictive Analytics.mp4

01:21

11. Use Case - Predictive Analytics and Data M.mp4

02:26

12. Use Case - Predictive Analytics and Data M.mp4

04:33

04. Predictive and Prescriptive Analytics - Decision-making, Problem-solving

01. Predictive Analytics Overview.mp4

02:34

02. Tools for Predictive Analytics.mp4

01:12

03. Demonstration - Predictive Analytics Technique.mp4

03:42

04. Prescriptive Analytics Overview.mp4

02:03

05. Tools for Prescriptive Analytics.mp4

01:46

06. Demonstration - Prescriptive Analytics for Dec.mp4

06:18

07. Ethical Considerations - Predictive and Prescr.mp4

01:33

08. Real-world Example - Predictive and Prescripti.mp4

01:43

09. Use Case - Predictive and Prescriptive Analyti.mp4

02:11

10. Use Case - Predictive and Prescriptive Analyti.mp4

04:14

5. Correlation and Regression Analysis - Identifying Relationships, Making Predictions

1. Correlation Analysis Overview.mp4

03:15

2. Tools for Correlation Analysis.mp4

01:42

3. Demonstration - Correlation Analysis .mp4

05:01

4. Regression Analysis Overview.mp4

05:12

5. Tools for Regression Analysis.mp4

02:08

6. Demonstration - Regression Analysis f.mp4

04:19

7. Ethical Considerations - Correlation .mp4

02:23

8. Real-world Examples - Correlation and.mp4

02:02

9. Use Case - Correlation and Regression.mp4

06:19

6. Regression and Classification Techniques - Predicting Outcomes , Modeling

1. Regression Analysis Recall.mp4

03:26

2. Demonstration - Regression Analysis for Predict.mp4

05:08

3. Demonstration - Regression Analysis for Predict.mp4

03:14

4. Classification Technique Overview.mp4

03:55

5. Tools for Classification Technique.mp4

01:15

6. Demonstration - Classification Technique for Mo.mp4

03:31

7. Ethical Considerations - Regression and Classif.mp4

01:14

8. Real-world Examples - Regression and Classifica.mp4

01:34

9. Use Case - Regression and Classification Techni.mp4

06:20

7. Time Series Analysis - Forecasting Time-dependent Data

1. Time Series Analysis Overview - Time-dependent Data, Time Series C.mp4

07:13

2. Time Series Analysis Overview - Time Series Models, Evaluation and.mp4

01:38

3. Tools for Time Series Analysis.mp4

02:38

4. Demonstration - Time Series Analysis for Forecasting Time-dependen.mp4

01:11

5. Demonstration - Time Series Analysis for Forecasting Time-dependen.mp4

01:39

6. Demonstration - Time Series Analysis for Forecasting Time-dependen.mp4

01:24

7. Ethical Considerations - Time Series Analysis.mp4

01:35

8. Real-world Examples - Time Series Analysis.mp4

03:55

9. Use Case - Time Series Analysis for Forecasting Time-dependent Dat.mp4

03:55

8. AI and Machine Learning - Automating Data Analysis and Decision-making

1. Artificial Intelligence and Machine Learning Over.mp4

03:47

2. Tools for Automating Decision-making Using AI and.mp4

02:08

3. Demonstration - Machine Learning Techniques for A.mp4

06:07

4. Ethical Considerations - Artificial Intelligence .mp4

02:35

5. Real-world Examples - Artificial Intelligence and.mp4

02:06

6. Use Case - Machine Learning for Automating Data A.mp4

01:53

7. Use Case - Machine Learning for Automating Data A.mp4

04:32

9. Text and Sentiment Analysis - Analyzing Unstructured Data

1. Text Analysis Overview.mp4

02:34

2. Tools for Text Analysis.mp4

01:57

3. Sentiment Analysis Overview.mp4

02:05

4. Tools for Sentiment Analysis.mp4

02:12

5. Demonstration - Text and Sentiment Analysis for Analyzing Unstr.mp4

03:06

6. Ethical Considerations - Text and Sentiment Analysis.mp4

02:32

7. Real-world Examples - Text and Sentiment Analysis.mp4

02:42

8. Use Case - Text and Sentiment Analysis for Analyzing Unstructur.mp4

05:55

Description

This course will teach you about advance analytics and ethics in business analytics to help you develop proficiency in the ethical analysis of business data and enable data-driven decision-making.

What You'll Learn?

With the pressing requirement to solve business problems and provide a basis for making business decisions in a more data-driven context, the need to have a comprehensive understanding of the fundamental concepts and techniques of business analytics and how to apply them in their respective functions in their belonging organization is even more heightened. In this course, Advanced Analytics and Ethics in Business Analytics, you’ll learn about the fundamental concepts and techniques of business analytics and how to apply them in your respective functions in your belonging organization. First, you’ll be introduced to the fundamentals, techniques, and ethics surrounding business analytics in general. Next, you’ll learn about the different advanced analytic techniques in business analytics. Finally, you’ll discover the ethical considerations and real-world examples of the techniques presented. When you’re finished with this course, you’ll have the skills and knowledge of advanced analytics and ethics in business analytics that are needed to develop your proficiency in the ethical analysis of business data and enable data-driven decision-making.

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Chris Behrens

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Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.