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Overview
Context
Building good models only succeeds if you have a decent base table to start with.
In this Intermediate Predictive Analytics in Python course at Data Camp, you will learn how to construct a good base table, create variables and prepare your data for modeling. We finish with advanced topics on the matter.
You will gain insight into how to create powerful predictive models that can be used in a variety of work environments, so your learned methods will certainly be applicable to any job.
Programme Structure
Chapters
- Crucial base table concepts
- Creating variables
- Data preparation
- Advanced base table concepts
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
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
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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
- This course would be beneficial to jobs like Data Analysts, Machine Learning Engineers, Researchers and anyone interested in building predictive models.
- Prerequisites: Introduction to Predictive Analytics in Python
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-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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