Name: Connect the Dots: Linear and Logistic Regression in Excel, Python and R
Brand: Loonycorn
Price: 21.00 USD
Availability: Discontinued
Rating: 5 (1 reviews)

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Connect the Dots: Linear and Logistic Regression in Excel, Python and R: Build Robust Linear Models in Excel, R, & Python

Connect the Dots: Linear and Logistic Regression in Excel, Python and R

Build Robust Linear Models in Excel, R, & Python

Loonycorn

Online Courses

Business & Finance

Linear Regression is a powerful method for quantifying the cause and effect relationships that affect different phenomena in the world around us. This course will teach you how to build robust linear models that will stand up to scrutiny when you apply them to real world situations. You'll even put what you've learnt into practice by leveraging Excel, R, and Python to build a model for stock returns.
<br><br>
<ul><li>Access 40 lectures & 5 hours of content 24/7
<li>Cover method of least squares, explaining variance, & forecasting an outcome
<li>Explore residuals & assumptions about residuals
<li>Implement simple & multiple regression in Excel, R, & Python
<li>Interpret regression results & avoid common pitfalls
<li>Introduce a categorical variable</ul>

Description

Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Instructor

<p>Details &amp; Requirements</p> <ul>
<li>Length of time users can access this course: lifetime</li>
<li>Access options: web streaming, mobile streaming</li>
<li>Certification of completion not included</li>
<li>Redemption deadline: redeem your code within 30 days of purchase</li>
<li>Experience level required: all levels</li>
</ul>

Access Granted!

Connect the Dots: Linear and Logistic Regression in Excel, Python and R

Build Robust Linear Models in Excel, R, & Python

Description

Specs

Terms

Trey Russell