lasasdirector.blogg.se - Multiple linear regression xlminer analysis toolpak

Multiple linear regression xlminer analysis toolpak software#
Multiple linear regression xlminer analysis toolpak code#
Multiple linear regression xlminer analysis toolpak trial#
Multiple linear regression xlminer analysis toolpak series#

Honestly, I will probably not ever go that deep, but it's nice to know the option is there.

Multiple linear regression xlminer analysis toolpak code#

It goes beyond merely showing you how to analyze data and actually teaches you to code in the Python programming language.

Data-scientist online classes: My colleague, Abby Bartlett, told me about Dataquest, an online-training program for aspiring data scientists.

Multiple linear regression xlminer analysis toolpak trial#

(If anyone from Minitab reads this, a sincere thank you for making your free trial accessible to all. I haven't tried it out yet, but it is probably what I will turn to once my 30 days with Minitab is up.

Multiple linear regression xlminer analysis toolpak software#

FYI - the Minitab software is definitely priced for the enterprise if you are at a small-to-midsized company, there are also free tools like XLMiner Analysis ToolPak, a Google Sheets add-on. The software was pretty easy to figure out about 10 minutes' worth of YouTube videos taught me enough to perform my first regression analysis. (Temporarily) free statistical software: Now that I knew the basics of how the model was calculated, I was ready to plug in my numbers and go. Largely because Foltz mentioned it by name in his videos, I downloaded a 30-day free trial of Minitab and used it to perform my calculations.At least, I think that's the technical terminology he used. He explains the phenomenon of "multicollinearity" - namely, that throwing in multiple variables that essentially all measure the same thing produces a hot mess. The biggest thing I learned is that I couldn't take all the variables at my disposal and throw them into a regression analysis and think the computer would magically sort them out. But it's well worth the investment of time. Be warned, each video is about 25 minutes in length. He takes it slow, explains things step by step and helps you visualize the data where possible.

Multiple linear regression xlminer analysis toolpak series#

Brandon Foltz has created and posted a series of educational videos on statistics.

YouTube series on Simple Linear Regression and Multiple Regression: Now that I had confirmation that regression analysis was, indeed, my starting point, I had a second question: How hard is it to do? Not that hard, once you know the basics.

But what the heck is it? "A Refresher on Regression Analysis" by Harvard Business Review explains what regression analysis is, why it's the "go-to method in analytics," how it works and common pitfalls to avoid.

Basic explanation of what regression analysis is: Fortunately, I knew just enough to know that data scientists frequently perform something called a regression analysis.

It costs $25 for a Virtual Replay Ticket that lets you watch all 10 of the conference's panels in their entirety.) Our job, he says, is to share our hunches with the data scientists, so they can further the investigation. He stressed that as business stakeholders, we are the detectives who already have a pretty good nose for what is going on. One of the them was Swamy Narayanaswamy, CTO/Principal at Cs3, who shot a hole through my mistaken (and apparently common) belief that data scientists take a big jumble of data and magically find the needle in the haystack that can move the business forward.

Data science panel discussion: I recently attended the Predictive Analytics panel at LA Digital Growth Summit 5, where a panel of five data guys talked shop.

As the director of marketing for Hopscotch, a mobile-technology startup, I was seeking a way to predict the number of app downloads from new customers in a particular vertical. I don't know about you, but my one semester of statistics in college didn't equip me to do the type of data analyses that my job now requires. Which means marketers now have to focus on deciphering data. Everything now boils down to revenue results. It's no longer just about pretty pictures, wonderful words and exciting events. Marketing requires a lot more math than it used to. all by myself, with generous assistance from all the real data scientists who have shared their expertise freely on the Internet. Here's a quick and dirty list of where I went to learn the basics. I'm not a data scientist, but this B2B marketer conducted her first-ever regression analysis this week.