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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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Analytics and Ethics in Business Analytics with these activities:
Review Statistical Concepts
Refresh foundational statistical knowledge to enhance understanding of advanced analytics techniques.
Browse courses on Statistics
Show steps
  • Revisit key statistical concepts such as probability distributions, hypothesis testing, and regression analysis.
Review basic statistics and data analysis concepts
Reviewing basic statistics and data analysis concepts will enhance your foundation and prepare you for the more advanced topics covered in the course.
Browse courses on Statistics
Show steps
  • Review your notes or textbooks from previous statistics or data analysis courses.
  • Take practice quizzes or complete online exercises to test your understanding.
Follow a tutorial on time series forecasting
Expand your knowledge of business analytics techniques by learning how to forecast future trends and patterns.
Browse courses on Time Series Analysis
Show steps
  • Find a tutorial on time series forecasting.
  • Follow the tutorial and complete the exercises.
  • Apply the techniques to a real-world dataset.
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Participate in Discussion Forums
Engage with peers, share insights, and gain diverse perspectives on advanced analytics topics.
Browse courses on Data Analytics
Show steps
  • Join and actively participate in online discussion forums related to business analytics.
  • Ask questions, answer inquiries, and contribute to ongoing discussions.
Review Correlation and Regression Analysis techniques
Sharpen your analytical skills by reviewing foundational concepts in Correlation and Regression Analysis, bolstering your comprehension for the course.
Show steps
  • Revisit the definitions and concepts of correlation and regression analysis.
  • Practice calculating correlation coefficients and regression lines using real-world datasets.
  • Review common assumptions and limitations of correlation and regression analysis.
Review advanced data analysis and business ethics concepts
Reviewing the fundamental concepts of advanced data analysis and business ethics will provide a stronger foundation for engaging with the course materials.
Browse courses on Advanced Data Analysis
Show steps
  • Review the course syllabus and identify key topics related to advanced data analysis and business ethics.
  • Read articles and books related to these topics to refresh your knowledge.
Attend a data ethics workshop
Gain insights into the ethical considerations surrounding business analytics and decision-making.
Browse courses on Data Ethics
Show steps
  • Research and identify a data ethics workshop.
  • Register for the workshop.
  • Attend the workshop and actively participate.
Solve data analysis problems using R
Strengthen your data analysis skills by practicing solving problems using R, a widely used programming language in the field.
Browse courses on R Programming
Show steps
  • Find a dataset to work with.
  • Clean and prepare the data.
  • Analyze the data using R functions.
  • Interpret the results and draw conclusions.
Follow Online Tutorials on Advanced Analytics
Enhance your understanding of advanced analytics by supplementing course materials with interactive online tutorials and demonstrations.
Browse courses on Advanced Analytics
Show steps
  • Identify reputable online sources for advanced analytics tutorials.
  • Select tutorials that align with your learning goals and areas for improvement.
  • Follow the tutorials step-by-step, taking notes and practicing the techniques.
  • Apply what you've learned to real-world data sets or projects.
Join a study group or online forum to discuss course concepts
Engaging in discussions with peers will enable you to exchange ideas, clarify concepts, and gain diverse perspectives, fostering a deeper understanding of the course material.
Browse courses on Advanced Data Analysis
Show steps
  • Identify a study group or online forum related to advanced data analysis.
  • Join the group and actively participate in discussions.
  • Share your insights and questions with others.
Develop a data visualization dashboard
Enhance your data analysis skills by creating a visual representation of data that effectively communicates insights.
Browse courses on Data Visualization
Show steps
  • Choose a dataset to visualize.
  • Select appropriate charts and graphs to represent the data.
  • Design and develop the dashboard.
  • Test and refine the dashboard.
Reference Machine Learning Tutorials
Reinforce advanced analytics concepts through guided exploration of techniques and practical applications.
Browse courses on Machine Learning
Show steps
  • Explore tutorials on predictive analytics, regression analysis, and time series forecasting.
  • Follow step-by-step instructions to apply techniques to real-world business scenarios.
  • Refer to tutorials throughout the course for further clarification and application.
Complete Advanced Analytics Practice Problems
Practice advanced analytics techniques through exercises to reinforce your understanding and improve your problem-solving skills.
Browse courses on Advanced Analytics
Show steps
  • Identify a data set to work with.
  • Apply advanced analytics techniques to the data set.
  • Analyze the results of your analysis.
  • Draw conclusions from your analysis.
  • Write a report summarizing your findings.
Complete practice problems on data analysis and interpretation
Engaging in practice problems will enhance your understanding of how to apply advanced data analysis techniques in business contexts.
Browse courses on Predictive Analytics
Show steps
  • Identify a dataset related to a business problem.
  • Apply advanced data analysis techniques to the dataset to extract insights.
  • Write a report summarizing your findings and conclusions.
Practice Time Series Analysis Techniques
Solidify your understanding of Time Series Analysis techniques through hands-on exercises, enhancing your ability to analyze and forecast time-dependent data in the course.
Browse courses on Time Series Analysis
Show steps
  • Apply time series decomposition techniques to real-life datasets.
  • Practice building and evaluating time series forecasting models using various statistical methods.
  • Analyze the strengths and weaknesses of different time series forecasting methods.
Build a data analytics portfolio
Solidify your understanding of business analytics techniques by applying them to real-world data.
Show steps
  • Identify a business problem to solve.
  • Gather and clean the data.
  • Analyze the data using business analytics techniques.
  • Develop a solution to the business problem.
  • Present your findings to stakeholders.
Solve Ethical Case Studies
Enhance critical thinking and decision-making skills in ethical business analytics scenarios.
Browse courses on Business Ethics
Show steps
  • Analyze hypothetical case studies that present ethical dilemmas.
  • Identify stakeholders, interests, and ethical principles involved.
  • Develop and justify ethical solutions to the case studies.
Read and analyze 'Business Analytics: Data Analysis and Decision Making'
This book provides a comprehensive overview of advanced data analysis techniques and their application in business decision-making, deepening your understanding of the course concepts.
View Melania on Amazon
Show steps
  • Read each chapter thoroughly, taking notes on key concepts and techniques.
  • Complete the end-of-chapter exercises to test your understanding.
Design a Data Visualization Dashboard
Develop practical skills in presenting business analytics findings visually and compellingly.
Browse courses on Data Visualization
Show steps
  • Choose a business analytics dataset relevant to your industry or interests.
  • Select and use appropriate data visualization techniques to display key insights.
  • Design a user-friendly and visually appealing dashboard layout.
  • Share and present your dashboard to peers for feedback.
Develop an Advanced Analytics Case Study
Deepen your understanding of advanced analytics by applying it to a real-world business problem and creating a comprehensive case study.
Browse courses on Advanced Analytics
Show steps
  • Identify a business problem that can be addressed using advanced analytics.
  • Gather and prepare data relevant to the business problem.
  • Apply advanced analytics techniques to analyze the data and develop insights.
  • Present your findings and recommendations in a case study format.
Develop a data ethics plan for a business project
Creating a data ethics plan will not only enhance your understanding of ethical considerations in data analysis but also prepare you to handle them effectively in your future career.
Browse courses on Business Analytics
Show steps
  • Identify potential ethical issues that may arise in the business project.
  • Research relevant data ethics guidelines and regulations.
  • Develop strategies to mitigate identified ethical risks.
  • Create a comprehensive data ethics plan outlining your findings and recommendations.
Develop an AI Model for Business Automation
Gain hands-on experience in applying AI techniques to solve real-world business problems.
Browse courses on Artificial Intelligence
Show steps
  • Identify a business process or task that can be automated using AI.
  • Collect and prepare relevant data.
  • Train and evaluate an AI model for the automation task.
  • Deploy and test the AI model in a business environment.
  • Monitor and improve the model's performance over time.
Develop an AI-based Data Analytics Solution
Showcase your proficiency in AI and Machine Learning by creating a data analytics solution that leverages AI techniques, demonstrating your ability to apply course concepts to real-world problems.
Show steps
  • Identify a business problem that can be addressed using AI and Machine Learning.
  • Collect and preprocess relevant data.
  • Develop an AI-based model using appropriate algorithms and techniques.
  • Evaluate the performance of your model and make necessary adjustments.
  • Deploy your model and monitor its performance in a real-world setting.
Develop a data analysis project and present your findings
Completing a data analysis project will allow you to apply the techniques learned in the course to a real-world problem, enhancing your proficiency.
Browse courses on Advanced Data Analysis
Show steps
  • Identify a business problem that can be addressed using data analysis.
  • Collect and analyze relevant data.
  • Develop a data visualization to present your findings.
  • Prepare a presentation to communicate your results and insights.

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.
See salaries and explore the career path for 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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Computer Scientist
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.
See salaries and explore the career path for Data Architect
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.
See salaries and explore the career path for Database Administrator

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.
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Deep Learning
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Deep Learning (Adaptive Computation and Machine...
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Business Intelligence and Analytics: Systems for...
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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.
Business Intelligence and Analytics: Systems for...
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Business Intelligence and Analytics: Systems for...
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Data Mining
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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.
Data Mining: Concepts and Techniques (The Morgan...
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Data Mining: Concepts and Techniques (The Morgan...
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Sentiment Analysis and Opinion Mining
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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.
Sentiment Analysis: Mining Opinions, Sentiments,...
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Sentiment Analysis and Opinion Mining (Synthesis...
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Probabilistic Machine Learning
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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.
Probabilistic Machine Learning: Advanced Topics...
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Data Mining Techniques
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Provides a comprehensive overview of text 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 text mining.
Data Mining Techniques: For Marketing, Sales, and...
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Wisdom, Analytics and Wicked Problems
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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.
Wisdom, Analytics and Wicked Problems
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Wisdom, Analytics and Wicked Problems
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Machine Learning for Text
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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.
Machine Learning for Text
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Machine Learning for Text
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The AI Playbook
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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.
The AI Playbook: Mastering the Rare Art of Machine...
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The AI Playbook: Mastering the Rare Art of Machine...
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Data Visualization
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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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Course image
Time
211 hours
Level
Intermediate
Via
Pluralsight
Instructor
Wilvie Anora
Language
English
Good to know
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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