HR Analytics: Factors impacting appraisal (excel analytics)
HR Analytics: Factors impacting appraisal (excel analytics), available at $49.99, has an average rating of 4.4, with 27 lectures, based on 38 reviews, and has 228 subscribers.
You will learn about MS Excel Data Analysis Toolpak Linear regression Univariate analysis in MS Excel Bivariate analysis in MS Excel Linear regression using Data Analysis Toolpak Feature engineering in MS Excel Make accurate predictions in MS Excel Make powerful analysis Create strong added value to your business Learn to interpret output of Linear Regression in MS Excel This course is ideal for individuals who are Managers who want to make data-driven decisions about employee, teams and their management practices. or HR Professionals who want to measure and improve the performance appraisal process in their organization. or Business owners and entrepreneurs. or Students or any individual who want to advance into HR or analytics. It is particularly useful for Managers who want to make data-driven decisions about employee, teams and their management practices. or HR Professionals who want to measure and improve the performance appraisal process in their organization. or Business owners and entrepreneurs. or Students or any individual who want to advance into HR or analytics.
Enroll now: HR Analytics: Factors impacting appraisal (excel analytics)
Summary
Title: HR Analytics: Factors impacting appraisal (excel analytics)
Price: $49.99
Average Rating: 4.4
Number of Lectures: 27
Number of Published Lectures: 27
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: ₹7,900
Quality Status: approved
Status: Live
What You Will Learn
- MS Excel
- Data Analysis Toolpak
- Linear regression
- Univariate analysis in MS Excel
- Bivariate analysis in MS Excel
- Linear regression using Data Analysis Toolpak
- Feature engineering in MS Excel
- Make accurate predictions in MS Excel
- Make powerful analysis
- Create strong added value to your business
- Learn to interpret output of Linear Regression in MS Excel
Who Should Attend
- Managers who want to make data-driven decisions about employee, teams and their management practices.
- HR Professionals who want to measure and improve the performance appraisal process in their organization.
- Business owners and entrepreneurs.
- Students or any individual who want to advance into HR or analytics.
Target Audiences
- Managers who want to make data-driven decisions about employee, teams and their management practices.
- HR Professionals who want to measure and improve the performance appraisal process in their organization.
- Business owners and entrepreneurs.
- Students or any individual who want to advance into HR or analytics.
Hello everyone, I welcome you to the course “HR Analytics : Factors affecting Performance Appraisal”.
Appraisals are an act of assessing something or someone. A performance appraisal is a regular review of an employee’s job performance and overall contribution to a company. Also known as an “annual review,” “performance review or evaluation,” or “employee appraisal,” a performance appraisal evaluates an employee’s skills, achievements and growth, or lack thereof. Companies use performance appraisal meetings to justify an employee’s reward which is usually increment in salary or bonus, based on their performance. Employees get good increments if their performance was commendable, whereas they get low increments or no increments at all if their performance was poor. The HR department is heavily engaged in it. It is clear by performance appraisal definition that this process affects the employees heavily. A good increment will lead to a more productive and satisfied employee. Whereas a low increment might lead to an unhappy employee which in turn might lead to the employee leaving the company. Hence this process should be unbiased. If an employee gets a lower increment than he deserves then he would be really unsatisfied and would look forward for an opportunity in another company.
After this course you will be able to judge whether the performance appraisal process is biased or not. There can be many reasons leading to a biased appraisal process, like experienced employees getting higher increment, employees belonging to a particular department getting higher increment, male employees getting higher increment, etc. Performance appraisal should only be dependent on an employee’s performance and not on anything else.
We will use linear regression to find out factors which influence performance appraisal. This would help us find out if the process is biased or not.
We have created a very simple structure of the course in order to understand performance appraisal, how to judge if this process is biased or not, and what are the significant factors contributing towards it. The structure of the course is as follows:
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Abstract and course objectives of this course.
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The step by step approach created by unlock Hr to solve any business problem.
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Understanding the business problem we need to solve in this course.
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Introduction and installation for MS Excel Add-in Data Analysis Toolpak.
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Understand how to discover and collect data.
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Understand how to prepare and explore the data for meaningful insights.
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Apply the Linear Regression technique to find significant factors contributing towards performance appraisal.
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To go through the major findings and insights extracted from the data.
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Conclusion of the course.
This course is created to understand and improve the voice of employees (VoE) who are the most crucial assets for any organization. With the help of this course, you can focus on your employees more, which in turn will be beneficial for the ROI.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Course Objective
Chapter 2: Anatomy of Statistical Model
Lecture 1: Anatomy of Statistical Model
Chapter 3: Business Problem
Lecture 1: Understanding Business Problem
Chapter 4: Excel – Data Analysis Toolpak
Lecture 1: Introduction and installation of Data Analysis Toolpak
Chapter 5: Define Variables, Create Data Dictionary and Verifying Data
Lecture 1: Define Variables, Create Data Dictionary and verifying data
Chapter 6: Univariate Analysis
Lecture 1: Resources(data)
Lecture 2: Continuous Variable Analysis
Lecture 3: Categorical Variable Analysis
Chapter 7: Data Cleaning
Lecture 1: Missing Values
Lecture 2: Outliers
Chapter 8: Feature Engineering part 1
Lecture 1: New Variable Creation
Chapter 9: Data Exploration: Uni-Variate Part – 2
Lecture 1: Uni-Variate Analysis Part – 2
Chapter 10: Bi-Variate Analysis
Lecture 1: Bi-Variate Analysis
Chapter 11: Feature Engineering part 2
Lecture 1: Dummy Variables
Chapter 12: Model Building Linear Regression
Lecture 1: Overview
Lecture 2: Implementaion
Chapter 13: Model Tuning
Lecture 1: Linear Regression Model Tuning
Chapter 14: Model Evaluation
Lecture 1: Model Evaluation/ Validation
Chapter 15: Bonus – Top Excel Formulas you should know
Lecture 1: Count and Frequency
Lecture 2: Largest and Smallest Values
Lecture 3: Averages
Lecture 4: Confidence Intervals
Lecture 5: Percentile, Quartiles and Rank
Lecture 6: Deviation and Variance
Lecture 7: Covariance
Lecture 8: Trend Line Functions
Instructors
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Unlock HR
HR Analytics / People Analytics / Talent Analytics
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 8 votes
- 4 stars: 9 votes
- 5 stars: 18 votes
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