メインコンテンツへスキップ
ホームR

コース

HR Analytics: Rで学ぶ従業員データの探索

中級スキルレベル
更新日 2022/08
HRアナリティクスの事例を通じて、データの操作、可視化、統計検定の方法を学びます。
コースを無料で開始
RExploratory Data Analysis5時間16 ビデオ60 演習4,750 XP12,238達成証明書

無料アカウントを作成

または

続行すると、弊社の利用規約プライバシーポリシーに同意し、データが米国に保存されることに同意したことになります。

数千の企業の学習者に愛されています

Group

2名以上のトレーニングをお考えですか?

DataCamp for Businessを試す

コース説明









前提条件

Introduction to Regression in R
1

Identifying the best recruiting source

In this chapter, you will get an introduction to how data science is used in a human resources context. Then you will dive into a case study where you'll analyze and visualize recruiting data to determine which source of new candidates ultimately produces the best new hires. The dataset you'll use in this and the other chapters in this course is synthetic, to maintain the privacy of actual employees.
チャプター開始
2

What is driving low employee engagement?

Gallup defines engaged employees as those who are involved in, enthusiastic about and committed to their work and workplace. There is disagreement about the strength of the connection between employee engagement and business outcomes, but the idea is that employees that are more engaged will be more productive and stay with the organization longer. In this chapter, you'll look into potential reasons that one department's engagement scores are lower than the rest.
チャプター開始
3

Are new hires getting paid too much?

When employers make a new hire, they must determine what the new employee will be paid. If the employer is not careful, the new hires can come in with a higher salary than the employees that currently work at the same job, which can cause employee turnover and dissatisfaction. In this chapter, you will check whether new hires are really getting paid more than current employees, and how to double-check your initial observations.
チャプター開始
4

Are performance ratings being given consistently?

Performance management helps an organization keep track of which employees are providing extra value, or below-average value, and compensating them accordingly. Whether performance is a rating or the result of a questionnaire, whether employees are rated each year or more often than that, the process is somewhat subjective. An organization should check that ratings are being given with regard to performance, and not individual managers' preferences, or even biases (conscious or subconscious).
チャプター開始
5

Improving employee safety with data

HR Analytics: Rで学ぶ従業員データの探索
コース完了

修了証明書を取得

この資格をLinkedInプロフィール、履歴書、CVに追加しましょう
ソーシャルメディアや人事評価で共有しましょう
今すぐ登録

19百万人を超える学習者と一緒にHR Analytics: Rで学ぶ従業員データの探索を今日から始めましょう!

無料アカウントを作成

または

続行すると、弊社の利用規約プライバシーポリシーに同意し、データが米国に保存されることに同意したことになります。

DataCamp for Mobileでデータスキルを磨きましょう

モバイル コースと毎日の 5 分間のコーディング チャレンジで、外出先でも進歩できます。