The [course_title] course covers the advanced parts of statistics and teaches you how to take data and use it to make reasonable and useful conclusions. You will learn the right statistical tools for analysing data. The reasons for studying statistics, sampling procedures, Hypothesis testing, basic use of ANOVA, chi-square test, Correlation, multiple regression will be discussed thoroughly in the course.
Upon completion, you will gain a strong command over statistics and know how to use R software for data analysis.
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
Course Curriculum
| Module 00: Introduction to Data (Optional Review) | |||
| 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 | 00:04:00 | ||
| Vectors | 00:05:00 | ||
| Indexing | 00:03:00 | ||
| Importing a Data Frame | 00:06:00 | ||
| Indexing Data Frames | 00:09:00 | ||
| Module 01: Sampling | |||
| The Sampling Distribution | 00:08:00 | ||
| The Confidence Interval | 00:06:00 | ||
| Optional Review – Univariate Descriptive Statistics | 00:03:00 | ||
| Sampling Distributions | 00:07:00 | ||
| Module 02: Hypothesis Testing (One Group Means) | |||
| Hypothesis Testing | 00:07:00 | ||
| Alpha Levels, Critical Values, and P-Values | 00:08:00 | ||
| The T-Distribution | 00:10:00 | ||
| Single Sample T-Test | 00:08:00 | ||
| One or Two Tails | 00:05:00 | ||
| One-Sample t Tests | 00:05:00 | ||
| Module 03: Hypothesis Testing (Two Group Means) | |||
| Independent Samples t-test | 00:07:00 | ||
| Paired Samples t-test | 00:10:00 | ||
| Paired t Tests | 00:05:00 | ||
| Independent t Test | 00:04:00 | ||
| Module 04: Hypothesis Testing (Categorical Data) | |||
| Chi-Square Goodness-of-fit, Part One | 00:09:00 | ||
| Chi-Square Goodness-of-fit, Part Two | 00:04:00 | ||
| Chi-Square Test-of-Independence | 00:10:00 | ||
| Optional Review – Table Proportions | 00:06:00 | ||
| Optional Review – Grouped Bar Charts | 00:05:00 | ||
| Chi-Squared Goodness of Fit Test | 00:05:00 | ||
| Chi-Squared Test of Independence | 00:03:00 | ||
| Module 05: Hypothesis Testing (More Than Two Group Means) | |||
| One-Way ANOVA | 00:12:00 | ||
| Two-Way ANOVA | 00:10:00 | ||
| Optional Review – Visualizing Univariate Data | 00:08:00 | ||
| Optional Review – Histograms by Groups | 00:08:00 | ||
| Boxplots | 00:05:00 | ||
| ANOVA | 00:06:00 | ||
| Module 06: Correlation and Regression | |||
| Regression Inference | 00:11:00 | ||
| Multiple Regression | 00:00:00 | ||
| Regression Diagnostics | 00:04:00 | ||
| Optional Review – Scatterplots | 00:08:00 | ||
| Optional Review – Correlation | 00:04:00 | ||
| Correlation Testing | 00:05:00 | ||
| Regression Diagnostic Plots | 00:06:00 | ||
| Simple Regression | 00:06:00 | ||
| Multiple Regression | 00:06:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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