Handling Missing Data
Learn how and when to tackle missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques.
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1,213 learners enrolled
Skill level
BeginnerTime to complete
Approx. 1 hoursCertificate of completion
Included with paid plansPrerequisites
3 coursesWe suggest you complete the following courses before you get started with Handling Missing Data:- Data Wrangling and Tidying
- Data Wrangling and Tidying
- Learn Data Analysis with Pandas
About this course
Nearly every dataset you’ll come across has missing data. So what are you going to do about it? This course will help you identify different types of missing data and how to address each using techniques in Python.
Syllabus
0 lessons • 0 projects • 0 quizzesThe platform
Hands-on learning
Don’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
Reviews from learners
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- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
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