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Advanced Analytics and Ethics in Business Analytics

Wilvie Anora

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.

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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.

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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What's inside

Syllabus

Course Overview
Overview of Techniques and Ethics in Business Analytics
Predictive Analytics and Data Mining: Forecasting, Uncovering Data Patterns
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Predictive and Prescriptive Analytics: Decision-making, Problem-solving
Correlation and Regression Analysis: Identifying Relationships, Making Predictions
Regression and Classification Techniques: Predicting Outcomes , Modeling
Time Series Analysis: Forecasting Time-dependent Data
AI and Machine Learning : Automating Data Analysis and Decision-making
Text and Sentiment Analysis: Analyzing Unstructured Data

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores concepts and techniques used in business analytics, which is a standard practice in many industries
Develops ethical analysis of business data and enables data-driven decision-making, which are core skills for business professionals
Covers advanced analytical techniques commonly found in business data analysis
Examines topics such as predictive and prescriptive analytics, regression and classification techniques, and time series analysis, which are highly relevant to business decision-making
Includes an overview of AI and machine learning techniques used in data analysis and decision-making
Taught by Wilvie Anora, who is an experienced instructor in business analytics

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Activities

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Career center

Learners who complete Advanced Analytics and Ethics in Business Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Data Analyst.
Data Scientist
As a Data Scientist, you will use your skills in statistics, programming, and machine learning to solve complex business problems. This course will help you build a strong foundation in the fundamentals of data science, including predictive analytics, time series analysis, and text and sentiment analysis. You will also learn about the ethical considerations of working with data, which is increasingly important in today's data-driven world.
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models to solve a variety of business problems. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Machine Learning Engineer.
Business Analyst
As a Business Analyst, you will be responsible for identifying and solving business problems using data analysis. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Business Analyst.
Data Engineer
As a Data Engineer, you will be responsible for designing and building the infrastructure that stores and processes data. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Data Engineer.
Quantitative Analyst
As a Quantitative Analyst, you will be responsible for using mathematical and statistical models to analyze financial data. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Quantitative Analyst.
Statistician
As a Statistician, you will be responsible for collecting, analyzing, and interpreting data. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Statistician.
Market Researcher
As a Market Researcher, you will be responsible for conducting research to understand consumer behavior. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Market Researcher.
Financial Analyst
As a Financial Analyst, you will be responsible for analyzing financial data to make investment recommendations. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Financial Analyst.
Operations Research Analyst
As an Operations Research Analyst, you will be responsible for using mathematical and statistical models to solve business problems. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Operations Research Analyst.
Management Consultant
As a Management Consultant, you will be responsible for helping businesses solve problems and improve their performance. This course will help you develop the skills you need to be successful in this role, including data mining, predictive analytics, and machine learning. You will also learn about the ethical considerations of working with data, which is essential for any Management Consultant.
Software Engineer
As a Software Engineer, you will be responsible for designing, developing, and maintaining software applications. This course may be useful for you if you are interested in developing software applications that use data analysis and machine learning.
Computer Scientist
As a Computer Scientist, you will be responsible for developing new theories and technologies in computer science. This course may be useful for you if you are interested in developing new algorithms and data structures for data analysis and machine learning.
Data Architect
As a Data Architect, you will be responsible for designing and managing data systems. This course may be useful for you if you are interested in designing data systems that can handle large amounts of data and support data analysis and machine learning.
Database Administrator
As a Database Administrator, you will be responsible for managing and maintaining databases. This course may be useful for you if you are interested in managing databases that store data for data analysis and machine learning.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Advanced Analytics and Ethics in Business Analytics.
Comprehensive overview of deep learning, providing a comprehensive overview of the field. It valuable resource for students and professionals who want to learn more about the theory and practice of deep learning.
Provides a comprehensive overview of advanced business analytics techniques, including machine learning, artificial intelligence, and text mining. It valuable resource for students and professionals who want to learn more about the latest advances in business analytics.
Classic textbook on data mining, providing a comprehensive overview of the field. It valuable resource for students and professionals who want to learn more about the theory and practice of data mining.
Provides a comprehensive overview of sentiment analysis, providing a comprehensive overview of the field. It valuable resource for students and professionals who want to learn more about the theory and practice of sentiment analysis.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It valuable resource for students and professionals who want to learn more about the theoretical foundations of machine learning.
Provides a comprehensive overview of big data analytics, providing a comprehensive overview of the field. It valuable resource for students and professionals who want to learn more about the theory and practice of big data analytics.
Provides a comprehensive overview of social media analytics, providing a comprehensive overview of the field. It valuable resource for students and professionals who want to learn more about the theory and practice of social media analytics.
Provides a comprehensive overview of predictive analytics, providing a comprehensive overview of the field. It valuable resource for students and professionals who want to learn more about the theory and practice of predictive analytics.
Provides a comprehensive overview of data visualization, providing a comprehensive overview of the field. It valuable resource for students and professionals who want to learn more about the theory and practice of data visualization.

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