Best HR Analytics Courses

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Best HR Analytics Courses

HR analytics is a data-driven approach to improve HR-related decisions. HR executives may discover effective practices and spot weak areas in need of development by utilizing data related to HR strategy. HR analytics allows strategic decision-making that can lead to improved productivity and engagement, which may drive business solutions. HR analytics provides HR professionals with the data they need to optimize HR activities and employee satisfaction. With the constant flood of technological advancements confronting the workplace, it’s more important than ever to manage workers effectively and assist them throughout their demanding employment lifespan.

Enhancing HR strategy using HR analytics may improve work satisfaction and result in a healthy corporate culture with engaged employees.

 Below are ten HR Analytics courses you can take up online.

1. People Analytics by Coursera

This Human Resource Analytics course is an online course in people analytics offered by the University of Pennsylvania in the United States. Three instructors teach the course, which covers the key topics of people analytics such as performance evaluation, staffing, cooperation, and talent management. Many real-life HR analytics examples are used to illustrate each topic.

In addition, the course covers data management, typical data sources inside businesses, different statistical approaches for data analysis, and frequent mistakes when starting with people analytics.

The course takes around eight hours to complete and is completely free. You will get access to quizzes and a certificate of completion from the University for a nominal fee. These quizzes are difficult, and you must pay great attention to the video lectures to pass them!

The method is the most significant distinction between #1 and #2. The first session is designed for people who will be involved in or in charge of HR analytics initiatives. This course gives a high-level overview of HR analytics as well as some of its fundamentals.

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2. People Analytics Certificate Program by AIHR Academy

It is by far the most complete training for HR analytics managers, having been designed as an “all-in-one” course.

This in-depth HR analytics certification will educate you on how to use data to make better, fact-based people choices that will benefit both your company and your coworkers. You will graduate as a People Analytics Specialist, with a comprehensive HR data analytics skill set that will enable you to drive data-driven decision-making throughout your HR department.

Over 30 video lectures, many quizzes, assignments, interviews with industry experts, and much more are all included in the course’s syllabus. You’ll receive a certificate from the AIHR Academy, the world’s largest and most specialized school in the subject of online HR analytics courses, once you’ve completed the course.

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3. R Programming Fundamentals by Pluralsight 

R is covered in the fourth (and fifth and sixth) modules of this Human Resource Analytics course. Excel sheets may be used to do HR analytics. Excel, on the other hand, has several significant restrictions. R is a free and open-source statistical, visualization, and data modeling program. R’s programming language was created specifically for working with data and performing statistical calculations. It offers big data sets statistical methodologies and visualization capabilities, which are widely utilized in HR analytics.

R goes beyond the usual benchmarking and analysis tools for HR data, such as Microsoft Excel, Access, and SPSS. R brings them all together in a programming language that allows you to import, modify, and display data rapidly. R does, however, need some code, making the learning curve higher.

R is thus more difficult to learn than Excel. R, on the other hand, has limitless computational capabilities and allows you to perform far more complex analytics than Excel.

 Summer of Skills’ R Programming Fundamentals course is great to get started with R. This course will teach you the fundamentals of R and provide you with hands-on experience so you can gain a feel for it.

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4. R Programming by Coursera

A more advanced R course is available at Johns Hopkins University. It will take you about twenty hours to finish this intermediate-level course.

Three professors are teaching the course. It begins by teaching you the fundamentals of R before moving on to more advanced elements of R programming. You’ll be able to use R to run more sophisticated statistical approaches, such as linear regression models, by the end of the course.

With over 400,000 students already registered, the course is extremely popular. To enroll in this course, you must have at least a basic understanding of R.

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5. Data Mining with Weka by University of Waikato

Weka is a user interface for data mining. It features a visual and interactive interface, so you can ‘drag and drop’ with your mouse instead of programming as you would in R. This implies you don’t need to know how to program to begin this course.

Weka provides a diverse set of data mining techniques as well as data visualization options. Decision trees, Bayes, simple rules, clustering, and meta-classifiers are examples of machine learning algorithms. All of these algorithms, as well as their statistical underpinnings, will be explained in this course. This will assist you in comprehending how data mining works in general and how it may be applied to various kinds of (people) data.

Professor Ian Witten of the University of Waikato (New Zealand) demonstrates how to use Weka in a series of practical videos. You will run your first data mining algorithms and construct your first decision tree inside the first half-hour of this course.

This Human Resource analytics course is designed for those who will not be analyzing data on a regular basis but want to learn the basics. Weka’s user-friendly interface allows you to perform a variety of studies in a short period of time. This enables you to rapidly become acquainted with them.

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6. HR Data Science in R by AIHR Academy

Within People Analytics, predictive modeling is one of the most transformational technologies accessible. Few individuals in HR have the capacity to create predictive models, therefore it’s highly sought-after expertise.

You may learn these abilities by taking the HR Data Science in R course. You’ll learn how to utilize R to address HR problems and build predictive HR analytics for employee retention and engagement. No prior knowledge of R or programming is necessary; we’ll start from the beginning. The course covers R data management, R data exploration and visualization, and three dynamic case studies that cover various elements of data analysis.

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7. Methods and Statistics in Social Sciences Specialization by Coursera

The course explores basic statistical concepts such as correlation, regression, normal distributions, probabilities, sampling, confidence intervals, and different types of statistical errors. All these concepts apply to data science and form a required foundation for anyone looking to start with any form of analytics. The course requires roughly ten hours of study in total. Basic Statistics is part of a five-module specialization called Methods and Statistics in Social Sciences, which dives even deeper into quantitative research methods.

The other Basic statistical topics including correlation, regression, normal distributions, probabilities, sampling, confidence intervals, and many forms of statistical mistakes are covered in this course. All of these principles relate to data science and serve as a necessary basis for anybody interested in getting started with analytics in any form.

In all, the course will take you about 10 hours to complete. Basic Statistics is one of five modules of the Methods and Statistics in Social Sciences specialty, which delves even further into quantitative research methods.

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8. The Key Principles of Human Resource Management by Coursera

HR is another essential component of HR analytics. The Carlson School of Management at the University of Minnesota teaches this course, which focuses on the basic principles of human resource management (U.S.). This training is especially useful for those who have no prior experience managing human resources.

The Carlson School provides five courses covering the fundamentals of people management. From recruiting through hiring, onboarding, performance assessment, and pay management, the courses cover it all. Professor Budd is in charge of the classes. The course consists of reading materials, exams, and an assignment. Each lesson lasts around twelve hours.

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9. Introduction to People Analytics by Coursera

This course offers an introduction to the fundamentals of people analytics, as the name implies. The Moscow Institute of Physics and Technology (MIPTAlex )’s Dolinsky and Ilya Breyman created this course for aspiring HR professionals and managers.

The course is divided into seven parts, each of which covers a different topic, such as performance management, culture, motivation, and engagement, pay, recruiting, and workforce planning. People with greater expertise in HR will learn more by taking the #2 Warton People Analytics Course, which focuses on aspiring HR professionals. Several case studies are included in the course. This is a really useful and flexible tool.

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10. People Analytics by Google re:Work

This one isn’t quite like the others on the list. It’s more of a learning guide than a course, but it’s still packed with important material. Google’s re: Work project provides free access to a variety of instructional materials.

The notion of people analytics is presented, as well as four practical recommendations for implementing HR data analytics in your company. Fair pay practices, employee survey management, HR metrics identification and collection, and how to adopt an analytics mentality are among the topics discussed.

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