HR Analytics: Job Change of Data Scientists

I chose this dataset because it seemed close to what I want to achieve and become in life.

1.cleaning up data

null values in the dataset

2. visualizing data

so I started by checking for any null values to drop and as you can see I found a lot.

Then I decided the have a quick look at histograms showing what numeric values are given and info about them.

I used another quick heatmap to get more info about what I am dealing with.

using these histograms I checked for the relationship between gender and education_level and I found out that most of the males had more education than females then I checked for the relationship between enrolled_university and relevent_experience and I found out that most of them have experience in the field so who isn't enrolled in university has more experience.

3. Predicting data

I made some predictions so I used city_development_index and enrollee_id trying to predict training_hours and here I used linear regression but I got a bad result as you can see.

So I went to using other variables trying to predict education_level but first, I had to make some changes to the used data as you can see I changed the column gender and education level one.

I ended up getting a slightly better result than the last time.

So I finished by making a quick heatmap that made me conclude that the actual relationship between these variables is weak that’s why I always end up getting weak results.

Github link: https://github.com/azizattia/HR-Analytics/blob/main/README.md