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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

Course Reviews

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