Linear Regression Salaries
316 verified profilesAverage salary is ₹28.9lakhs.
Employees who know Linear Regression earn an average of ₹28.9lakhs, mostly ranging from ₹16.0lakhs to ₹151.8lakhs based on 316 profiles.
| 👨💻 Male | ₹25lakhs Male Average Salary : ₹ 25 lakhs |
|---|---|
| 👩💻 Female | ₹20lakhs Female Average Salary : ₹ 20 lakhs |
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How much do Linear Regression employees make?
Employees who know Linear Regression earn an average of ₹28.9lakhs, mostly ranging from ₹16.0lakhs per year to ₹151.8lakhs per year based on 316 profiles. The top 10% of employees earn more than ₹43.3lakhs per year.
What is the average salary of Linear Regression?
Average salary of an employee who know Linear Regression is ₹28.9lakhs.
What is the highest salary offered who know Linear Regression?
Highest reported salary offered who know Linear Regression is ₹400.0lakhs. The top 10% of employees earn more than ₹43.3lakhs per year. The top 1% earn more than a whopping ₹151.8lakhs per year.
What are the most common skills required who know Linear Regression?
100% of employees have skills in linear regression . 0% also know python . 0% also know machine learning .
What are the highest paying jobs who know Linear Regression?
The top 5 highest paying jobs who know Linear Regression with reported salaries are:
senior director - ₹132.0lakhs per year
data science manager - ₹104.0lakhs per year
senior data science manager - ₹71.0lakhs per year
head - ₹69.0lakhs per year
senior project manager - ₹48.0lakhs per year
What is the median salary offered who know Linear Regression?
The median salary approximately calculated from salary profiles measured so far is ₹20.0lakhs per year.
How is the age distributed among employees who know Linear Regression?
42% of employees lie between 26-31 yrs . 29% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Linear Regression?
14% hold a PostGraduate degree. 10% hold a Graduate degree.
Which schools do employees working who know Linear Regression went to?
7% of employees studied at Indian Institute of Technology (IIT) . 4% studied at Indian Institute of Technology .
How much do Linear Regression employees make?
Employees who know Linear Regression earn an average of ₹28.9lakhs, mostly ranging from ₹16.0lakhs per year to ₹151.8lakhs per year based on 316 profiles. The top 10% of employees earn more than ₹43.3lakhs per year.
What is the average salary of Linear Regression?
Average salary of an employee who know Linear Regression is ₹28.9lakhs.
What is the highest salary offered who know Linear Regression?
Highest reported salary offered who know Linear Regression is ₹400.0lakhs. The top 10% of employees earn more than ₹43.3lakhs per year. The top 1% earn more than a whopping ₹151.8lakhs per year.
What are the most common skills required who know Linear Regression?
100% of employees have skills in linear regression . 0% also know python . 0% also know machine learning .
What are the highest paying jobs who know Linear Regression?
The top 5 highest paying jobs who know Linear Regression with reported salaries are:
senior director - ₹132.0lakhs per year
data science manager - ₹104.0lakhs per year
senior data science manager - ₹71.0lakhs per year
head - ₹69.0lakhs per year
senior project manager - ₹48.0lakhs per year
What is the median salary offered who know Linear Regression?
The median salary approximately calculated from salary profiles measured so far is ₹20.0lakhs per year.
How is the age distributed among employees who know Linear Regression?
42% of employees lie between 26-31 yrs . 29% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Linear Regression?
14% hold a PostGraduate degree. 10% hold a Graduate degree.
Which schools do employees working who know Linear Regression went to?
7% of employees studied at Indian Institute of Technology (IIT) . 4% studied at Indian Institute of Technology .
- 10-20 lakhs
- 20-30 lakhs
- 30-40 lakhs
- 40-50 lakhs
- > 50 lakhs
- 21-26 yrs
- 26-31 yrs
- 31-36 yrs
- 36-41 yrs
- > 41 yrs
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