Foundations of Data Analysis - Part 1
Statistics Using R
In this first part of a two part course, we’ll walk through the basics of statistical thinking – starting with an interesting question. Then, we’ll learn the correct statistical tool to help answer our question of interest – using R and hands-on Labs. Finally, we’ll learn how to interpret our findings and develop a meaningful conclusion.
This course will consist of:
- Instructional videos for statistical concepts broken down into manageable topics
- Guided questions to help your understanding of the topic
- Weekly tutorial videos for using R Scaffolded learning with Pre-Labs (using R), followed by Labs where we will answer specific questions using real-world datasets
- Weekly wrap-up questions challenging both topic and application knowledge
We will cover basic Descriptive Statistics – learning about visualizing and summarizing data, followed by a “Modeling” investigation where we’ll learn about linear, exponential, and logistic functions. We will learn how to interpret and use those functions with basic Pre-Calculus. These two “units” will set the learner up nicely for the second part of the course: Inferential Statistics with a multiple regression cap.
Both parts of the course are intended to cover the same material as a typical introductory undergraduate statistics course, with an added twist of modeling. This course is also intentionally devised to be sequential, with each new piece building on the previous topics. Once completed, students should feel comfortable using basic statistical techniques to answer their own questions about their own data, using a widely available statistical software package (R).
With these new skills, learners will leave the course with the ability to use basic statistical techniques to answer their own questions about their own data, using a widely available statistical software package (R). Learners from all walks of life can use this course to better understand their data, to make valuable informed decisions.
Join us in learning how to look at the world around us. What are the questions? How can we answer them? And what do those answers tell us about the world we live in?
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Rating | 4.0★ based on 8 ratings |
---|---|
Length | 6 weeks |
Effort | 3 - 6 hours per week |
Starts | Jun 1 (360 weeks ago) |
Cost | $49 |
From | The University of Texas at Austin, UTAustinX via edX |
Instructor | Michael J. Mahometa |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Analysis & Statistics Math |
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What people are saying
lab units no longer
With that said, the prelab and lab units no longer function to provide answers to double check your understanding so what's the point with continuing with the course.
top pick from class-central
This course was highly recommended as the choice class to take as the top pick from Class-Central.
some students might get
I am a math teacher and was largely able to skip of the math portion and concentrate on the analysis using R. They offered lots of supplemental reading for increasing an understanding of stats and did some basic explanation of the concepts but without understanding things like r-squared and exponential functions, SOME students might get frustrated.
ended in aug 2017
This course ended in Aug 2017.
checks - in fact
I'm generally a fan of the EdX setup and found they did a good job of providing the right amount of comprehension checks - in fact, sometimes this got a little repetitive and I just skipped some problems if I felt I already got the point and didn't want to do the calculations.
aspiring data scientist
I was taking this due to the basic understanding that I'll need some statistic background with R and Python as an aspiring data scientist.
best mooc stat/r
I tried many different R courses so far, and this was the best MOOC stat/R course I have ever had.
things like r-squared
for someone without
This was a well done course and I learned a lot - especially about R. For someone without some knowledge of statistics, it might prove very challenging.
with that said
challenging then necessary
Otherwise, the assignments became more challenging then necessary.
concepts but without
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Rating | 4.0★ based on 8 ratings |
---|---|
Length | 6 weeks |
Effort | 3 - 6 hours per week |
Starts | Jun 1 (360 weeks ago) |
Cost | $49 |
From | The University of Texas at Austin, UTAustinX via edX |
Instructor | Michael J. Mahometa |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Analysis & Statistics Math |
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