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The course teaches you the data analysis process using R statistical software package. The course starts by explaining the reason for learning statistics that will be followed by the concepts of variables, data, R and RStudio.
Then you will learn the statistical tools and use of R software. Finally, the course covers how to interpret your findings and come to a conclusion.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: The University of Texas at Austin
Course Curriculum
module :1 | |||
The Need for Statistics | 00:04:00 | ||
Variables: What they are and what they tell us | 00:05:00 | ||
Introduction to RStudio | 00:06:00 | ||
Functions and Objects | 00:05:00 | ||
Vectors | 00:05:00 | ||
Indexing | 00:03:00 | ||
Importing a Data Frame | 00:06:00 | ||
Indexing Data Frames | 00:10:00 | ||
Graphs to Tell the Story of Our Data | 00:05:00 | ||
Graphing a Single Variable | 00:05:00 | ||
Center and Spread | 00:06:00 | ||
module :2 | |||
Using Z-Scores | 00:07:00 | ||
Visualizing Univariate Data | 00:08:00 | ||
Histograms by Groups | 00:08:00 | ||
Univariate Descriptive Statistics | 00:03:00 | ||
The Origin of “r” | 00:04:00 | ||
Scatterplots and the “r” value | 00:06:00 | ||
Linearity and the Correlation Coefficient | 00:05:00 | ||
Scatterplots | 00:08:00 | ||
Correlation | 00:05:00 | ||
The Contingency Table | 00:08:00 | ||
Independence & Conditional Probability | 00:06:00 | ||
Graphing the Contingency Table | 00:07:00 | ||
module :3 | |||
Reverse Conditional Probability | 00:05:00 | ||
Table Proportions | 00:07:00 | ||
Grouped Bar Charts | 00:05:00 | ||
Functions and Models | 00:07:00 | ||
The Line of Best Fit | 00:09:00 | ||
Interpreting the Linear Model | 00:08:00 | ||
Linear Models | 00:03:00 | ||
Exponential Growth and Decay | 00:08:00 | ||
The Logistic Growth Model | 00:07:00 | ||
Solving for “t” | 00:06:00 | ||
Finding the “Best” Model | 00:05:00 | ||
Exponential and Logistic Models | 00:08:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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