2.7 Read 3 reviews
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 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
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
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents299 USD / full≈ 299 USD / full - Out-of-State299 USD / full≈ 299 USD / full
-
Domestic
Applies to youIn-State299 USD / full≈ 299 USD / full
Additional Details
Different subscription plans available. Fundamentals subscription: $59 per month or $299 per year. Premium: $749 per year
Funding
Improve page content