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Overview
Context
Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data.
In this Statistics Fundamentals in Python course offered by Data Camp, you'll learn the four fundamentals of statistics using Python, including:
- Statistical models such as linear and logistic regression
- Techniques for sampling
- How to perform hypothesis tests and draw conclusions from a wide variety of data sets
By the end of this track, you'll be ready to apply your statistical skills in Python to analyze data, implement and evaluate statistical models, and draw conclusions from hypothesis test results!
Programme Structure
Courses include:
- Statistics in Python
- Regression with statsmodels in Python
- Intermediate Regression with statsmodels in Python
- Sampling in Python
- Hypothesis Testing in Python
Key information
Duration
- Part-time
- 3 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
Statistics View 106 other Short Courses in Statistics 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
- There are no prerequisites for this track
- This track is suitable for beginners as it starts from the foundational concepts of statistics and uses Python, which is known for its readability and ease of use.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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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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