4 Free DIY Data Analysis and Statistical Tools

It is a question I get a lot these days: “How can I learn data analysis without making a statistical course?” In this post I will answer my answer to that question.

First, as I, sometimes you need help to understand or explain the analysis of statistical support and data analysis, then I recommend visiting the theory website

• Give hours behind a statistical examination of OOO-ing and ahh-ing than beautiful math display.
• Manipulate the data interactively and see the impact seen in real-time statistical analysis!
• Download theory Theory Book draft free.

The theory website will surely be useful, regardless of the next approaches you take for learning statistics.

1. R (and rstudio): strong; Learning curve

“You know R, you will never be unemployed.” That’s the line I hear so much, lately. Why? Because data analysis skills are requested. And r used in the industry and academy. So you know r, it is likely to find jobs.

R is program and language. It’s free (Mac and Windows) and is very powerful. It is a discount that the interface of his language interface is so learning about the new syntax (but quite easy) (like symbolic logic or HTML learning). R (running in the background) here and the application you use to study the data here here and. Book Starting with Rstudio It’s a decent primer. If you want videos, you can fit this video entry video by Ashley Edwards.

Or if you want to start with minimum textbooks or instructions, check out the “Start R” guide (complete with its data sets).

On the basics of R you can have advanced users like Danielle Navarro (bottom) and others. Oh, and you will probably have free Navarro Learning statistics r.

2 .. Jamovi: point-and-click, r

It is built on the statistical language of Jamovi R. Fortistic’s R., R, Jamovi through the visual interface. Personal data is the ability to see the spreadsheet.

The free module that can be installed to unlock new skills (like Rs package) has free modules. For example, modules like Jjstatsplot can be installed to click some fantastic data visualization buttons.

More good news. Free Jamovi statistics There are free textbooks based on free statistics textbooks! Try Learn Statistics with Jamovi By Navarro and Foxcroft. And I still mentioned that you should follow @djnavarro?

3. JULP: Point-and click; In development

The newest and easiest program for using JULP: code and click the code and run. It allows you to make most of the basics (and new skills are often gaining). Here is a jasp tutorial (from the top of the top of Navarro, you should follow). You can download Jasp here.

I don’t make sense of how many people use the industry for JULP data analysis. So I’m not sure how Jasp skills will be well transferred outside the academy.

4. Spreadsheets: Learn Math!

Primary statistical courses were needed with pencil and paper (and if applicable, with basic calculator). It was forced me to study a large part of the mathematics involved in the data analysis, as it is also helpful today. When you know math, you are likely to notice errors in your analysis that programs like R and JASP (and the rest) will not tell you.

Another way to learn mathematics is to use the app like Excel. Enter your data and then build functions to calculate standard deviations, predictions, and remnants. You can enter these values ​​more features for more values. Usually it’s not all recommended I have something, but if you are very interested in understanding math, you can enjoy tinkering, then you can prefer this option. Each statistic book will give you the equations you need, for example, this book by Judd, McClelland and Ryan (2017) Maxwell, Delaney and Kelley (2018).

Of course, spreadsheets are used everywhere. So if you master the basic mathematical functions of a program like Excel, you will have a set of skills that are transferred outside the academy.

Go on!

In my experience. The easiest way to learn this thing is to sit through a course. That way, you can save someone more confusion hours or when you have a question to run rabbit holes. Although Google searches are very helpful, I think they are very better than humans in the same room today and find out what they do with what you are trying to learn.

But, in principle, I imagine that these tools can be learned quite well on your own.

Declension. I realize that I mentioned ordinary tools like SAS and SPSS. Why? Do I think they are bad or mute or under me?! No, I used them while cooking papers and learned the data analysis. However, I have never found so essential that I was ready to pay or limit it to Windows-based applications. If that changes, I imagine that I will probably update this message.

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