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Overview
What you will study
Data Cleaning is fundamental for every Data Science project. Regardless of where you're getting the data from, it's never perfect.
Some invalid values, some odd types, outliers or statistically insignificant values will arise at some point. This Data Cleaning with Pandas course offered by INE Tech will discuss this subject.
Programme Structure
The program focuses on:
- Data Cleaning
- Missing Values in Python and NumPy
- Count NaN objects
- Filter inf NaN Objects
- Clean NaNs from array
- Missing Values in Pandas
- Identify NaN Values
- Checking missing values
- Percent of correct values
- Dealing with Missing Data in Pandas
- Dropping movies with null values
- Dropping null columns from movies
- Imputing missing duration on movies
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- On demand.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 456 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Professional
Tuition Fees
Additional Details
This course can be accessed with the INE Subscription
Funding
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