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Advanced Analytics and Ethics in Business Analytics
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.
This Course Includes
pluralsight
0 (0 reviews )
3 hour 31 minutes 
english
Online - Self Paced
core courses
pluralsight
About Advanced Analytics and Ethics in Business Analytics
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.
What You Will Learn?
- Course Overview : 2mins.
- Overview of Techniques and Ethics in Business Analytics : 16mins.
- Predictive Analytics and Data Mining: Forecasting, Uncovering Data Patterns : 31mins.
- Predictive and Prescriptive Analytics: Decision-making, Problem-solving : 27mins.
- Correlation and Regression Analysis: Identifying Relationships, Making Predictions : 32mins.
- Regression and Classification Techniques: Predicting Outcomes , Modeling : 29mins.
- Time Series Analysis: Forecasting Time-dependent Data : 25mins.
- AI and Machine Learning : Automating Data Analysis and Decision-making : 23mins.
- Text and Sentiment Analysis: Analyzing Unstructured Data : 23mins.