Course Content
Python for Data Science: Job Change
Python for Data Science: Job Change
Import Data
We will start by importing our data using the famous pandas
library. This is an overview of the features in our dataset:
enrollee_id
: Unique ID for the candidate;city
: City code;city_development _index
: Development index of the city (scaled);gender
: Gender of the candidate;relevent_experience
: Relevant experience of candidate;enrolled_university
: Type of University course enrolled, if any;education_level
: Education level of the candidate;major_discipline
: Education major discipline of the candidate;experience
: Candidate's total experience in years;company_size
: No of employees in current employer's company;company_type
: Type of current employer;lastnewjob
: Difference in years between previous job and current job;training_hours
: training hours completed;target
:0
– Not looking for a job change,1
– Looking for a job change.
Methods description
Modules and Methods Used
pandas
: Module for data manipulation and analysis;- `.read_csv()**: Function to read a CSV file into a DataFrame;
.head()
: Method to display the first n rows of a DataFrame.
Task
- Import
pandas
(aspd
) library; - Import the
"experiment_data.csv"
usingpandas
; - Display the first 10 rows of the DataFrame.
Mark tasks as Completed
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Section 1. Chapter 2
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