peer graded assignment hrm capstone project

Peer-graded Assignment: Final Project Submission

Eshan Samanta 21st August, 2020

Capstone: Prediction of the next word

Welcome to my Final Submission for the Capstone Project

The goal of this exercise is to create a product to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others. For this project you must submit:

• A slide deck consisting of no more than 5 slides created with R Studio Presenter pitching my algorithm and app as if you were presenting to your boss or an investor.
• A Shiny app ( https://locogris.shinyapps.io/Capstone/ ) that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word.

Prerequisiques

In order to produce this shiny app, it has been required:

• Data: Coursera-SwiftKey dataset including News and Twitter examples to feed the model
• Sofware: R, optional: RStudio
• Libraries: Shiny, tm, data.table, stringr, dplyr
• Internet Conection
• Disclaimer: due to limited resourses this is only a prototype, so all tweets and news are not analysed, just a selected group

BackEnd Algorithm: ngrams

This is the method followed in order to code the algorith to predict the next word:

• Read the data from the Coursera-SwiftKey dataset
• Format the data to create a Corpus: remove punctuation, meaningless words (prepositions, articles.), extra whitespaces.
• Create ngram models feeded with the generated Corpus
• Use ngram models to predict the next word

FrontEnd: ngrams algorithm

Frontend: shiny app.

The Shiny app provided ( https://locogris.shinyapps.io/Capstone/):

• Allow you to select from with data do you want to predict your next word (Select origin data for: Twitter or News)
• Introduce the text do you want to predict the next word: Predict Next Word
• Use the ngram algorithm to predict the next word: Predict Next Word (note that non empty text in Prdict Next Word is required)
• Clear the app: clean button
• See which is the predicted word: Next word.

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Human Resources Management Capstone: HR for People Managers

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Description

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan . 

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About this course: This specialization provides a robust introduction to the key principles, policies, and practices of human resource management, with a focus on understanding managerial choices and constraints, acquiring and onboarding talent, managing employee performance, and rewarding employees. The capstone project provides learners with the opportunity to apply these key principles and practices to a real-world workplace (including a learner's own workplace if desired). Specifically, the capstone project will involve identifying the key human resources challenges for a workplace--including the most pressing motivational, selection, performance evaluation, and reward issues. And f…

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Didn't find what you were looking for? See also: Human Resource Management (HRM) , Human Resource (HR) Controlling , Personnel Management , Strategic HR , and Recruitment & Selection .

About this course: This specialization provides a robust introduction to the key principles, policies, and practices of human resource management, with a focus on understanding managerial choices and constraints, acquiring and onboarding talent, managing employee performance, and rewarding employees. The capstone project provides learners with the opportunity to apply these key principles and practices to a real-world workplace (including a learner's own workplace if desired). Specifically, the capstone project will involve identifying the key human resources challenges for a workplace--including the most pressing motivational, selection, performance evaluation, and reward issues. And for each of these areas, learners will devise a multi-step action plan for addressing the challenges identified.

Taught by:   John W. Budd, Professor and Director

Taught by:   Larry Bourgerie, Senior Lecturer

Taught by:   Amy Falink, Senior Lecturer

Taught by:   Alan Benson, Assistant Professor

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

• Video: Welcome to the HRM Capstone
• Reading: Overview of the HRM Capstone
• Discussion Prompt: Learner Background and Objectives
• Reading: Instructions
• Discussion Prompt: Brainstorming Work Units to Analyze
• Peer Review: Identifying a Work Unit to Analyze
• Reading: Introduction
• Video: External Influences on HR Strategies
• Video: The Importance of Organizational Strategy for HR Strategy
• Video: Why Worry about Why Employees Work?
• Video: The Many Meanings of Work
• Video: Work is Complex, So Managing is Complex
• Video: The Goals of Every People Manager
• Video: You Can't Always Do What You Want
• Discussion Prompt: Learner-to-Learner Guidance on Milestone 1
• Peer Review: Identifying the Internal and External Context
• Reading: Selection Assessment Methods
• Video: Internal vs. External Hires
• Video: Job Descriptions
• Video: Recruiting with Mobile Technology
• Video: Selection Process Overview
• Video: Selection Tools
• Video: Interviews Part One
• Video: Interviews Part Two
• Video: Candidate Evaluation
• Video: Biases and Rater Errors
• Discussion Prompt: Learner-to-Learner Guidance on Milestone 2
• Peer Review: Recruitment and Selection
• Reading: Job Description Template- use for part one of the activity
• Video: 1.3.1 Strategic Performance Management Model
• Video: 1.3.3 Role of Training in Performance Management Strategy
• Video: 2.2.4 Developing Performance Standards
• Video: 2.2.3 Characteristics of Good Performance Objectives
• Video: 3.2.2 What is Multi Rater Feedback?
• Video: 4.1.3 Fundamentals of Civility - The 3 R's
• Discussion Prompt: Learner-to-Learner Guidance on Milestone 3
• Peer Review: 1st Draft of Milestone 3: Performance Management
• Video: 1.1.2 From a Business Strategy to a Pay Strategy
• Video: 1.1.3 From a Pay Strategy to a Pay Mix
• Video: 1.2.1 Producing a Job Description
• Video: 1.2.2 Benchmarking Pay
• Video: 1.2.3 Surveys and the Labor Market
• Video: 2.2.1 To Incent or Not to Incent
• Video: 2.2.2 Designing Incentives
• Video: 2.2.3 Common Mistakes
• Video: Base Pay: 1.3.1 Connecting Structure to Strategy
• Video: Base Pay: 1.3.2 Job Families and Levels
• Video: Base Pay: 1.3.3 Assigning Grades and Ranges
• Video: Short Term Incentives: 2.2.1 To Incent or Not to Incent
• Video: Short Term Incentives: 2.2.2 Designing Incentives
• Video: Long Term Incentives: 2.3.1 Varieties of Long Term Incentives
• Video: Benefits: 3.3.1 Shopping for Health Insurance Providers
• Video: Benefits: 3.3.3 Shopping for Pension Providers
• Video: Non-Monetary Rewards: 4.1.2 Value to Employees
• Video: Non-Monetary Rewards: 4.1.3 Value to Employers
• Discussion Prompt: Learner-to-Learner Guidance on Milestone 4
• Peer Review: Milestone 4: Compensation Management
• Discussion Prompt: One important thing you learned in this specialization
• Reading: Reflection Exercise: Create a Mad Lib (optional, quick, and hopefully funny)
• Reading: Developing an Individual Development Plan (Optional)
• Video: Developing an Development Individual Plan (Optional)
• Video: Congratulations Video from the Instructors
• Reading: Staying in contact with each other
• View related products with reviews: Human Resource Management (HRM) .

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Human Resources Management Capstone: HR for People Managers

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Course details, prerequisite, instructors.

John W. Budd Professor and Director Center for Human Resources and Labor Studies

Larry Bourgerie Senior Lecturer Carlson School of Management, Department of Work and Organizations

Amy Simon Senior Lecturer Department of Work and Organizations

Alan Benson Assistant Professor Carlson School of Management, Department of Work and Organizations

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Peer-Graded Assignment: Building A Dashboard With IBM Cognos Analytics

itibaraydemiruslu/ibm-data-analyst-capstone-project

Folders and files, repository files navigation, ibm data analyst capstone project.

You have recently been hired as a Data Analyst by a global IT and business consulting services firm that is known for their expertise in IT solutions and their team of highly experienced IT consultants. In order to keep pace with changing technologies and remain competitive, your organization regularly analyzes data to help identify future skill requirements.

As a Data Analyst, you will be assisting with this initiative and have been tasked with collecting data from various sources and identifying trends for this year's report on emerging skills.

Your first task is to collect the top programming skills that are most in demand from various sources including:

Once you have collected enough data, you will begin analyzing the data and identify insights and trends that may include the following:

You will begin by scraping internet web sites and accessing APIs to collect data in various formats like .csv files, excel sheets, and databases.

Once this is completed, you will make that data ready for analysis using data wrangling techniques.

When the data is ready you will then want to apply statistical techniques to analyze the data. Then bring all of your information together by using IBM Cognos Analytics to create your dashboard. And finally, show off your storytelling skills by sharing your findings in a presentation.

You will be evaluated using quizzes in each module as well as the final project presentation.

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