Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.
Why Take This Course? This course will teach you the basic terms and concepts in statistics as well as guide you through introductory probability.
You will learn how to....
- Use statistical research methods.
- Compute and interpret values like: Mean, Median, Mode, Sample, Population, and Standard Deviation.
- Compute simple probabilities.
- Explore data through the use of bar graphs, histograms, box plots, and other common visualizations.
- Investigate distributions and understand a distributions properties.
- Manipulate distributions to make probabilistic predictions on data.
### Lesson 1 : Intro to Research Methods
You will be introduced to several statistical study methods and learn the positives and negatives of each.
### Lesson 2 : Visualizing Data
You will learn how to take your data and display it to the world. You will learn to create and interpret histograms, bar charts, and frequency plots.
### Lesson 3 : Central Tendency
In this lesson you will learn to compute and interpret the 3 measures of center for distributions: the mean, median, and mode.
### Lesson 4 : Variability
You will learn how to quantify the spread of data using the range and standard deviation. You will also learn how to identify outliers in data sets using the concept of the interquartile range.
### Lesson 5 : Standardizing
You will learn how to convert distributions into the standard normal distribution using the Z-score. You will also learn how to compute proportions using standardized distributions.
### Lesson 6 : Normal Distribution
You will learn how to use normalized distributions to compute probabilities. You will also learn how to use the Z-table to look up the proportions of observations above, below, or in between values.
### Lesson 7 : Sampling Distributions
You will learn how to apply the concepts of probability and normalization to sample data sets.
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.
Lukas Tencer is taking this course right now and found the course difficulty to be easy.
The course is quite boring. Lets you perform boring counting and numerical tasks with little focus on actual statistics. Though, by the end of the class things improved. There is at least one serious error in exercises, where you have to answer question on factual data provided on previous slide and have to go there and back between 2 slides. Also some concepts are mentioned and used early in the class but introduced only later on. I miss more mathematical derivation of formulas e.g. SE.
Pushkar Dkcompleted this course and found the course difficulty to be easy.
A lot of people here have found this course boring. I think it is slow paced so that anyone can easily understand the material. In my opinion, there are enough quizzes and exercises to keep our minds occupied and it's not boring!
The way things have been explained in this course, both according to visualization of variables and the use of real-world examples, has been excellent!
This course lays the foundation for another course on Udacity called `Intro to Inferential Statistics` and that course has been rated very high on Class Central which is why I think *this* course is important.
It was good revision of everything. All concepts and formulas I had forgotten over a period of time. Looking forward for more such courses. It took me less than a month to complete the course. The instructor is very clear with her explanations.