Certificate in Data analysis using R programming

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Greg Martin

4:31:21

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01 - Explore your data

001 Explore your data using R Programming.mp4

24:59

02 - Clean your data

001 Clean your data with R.mp4

27:30

03 - Manipulate your data

001 Manipulate your data. Data wrangling. R Programming for beginners.mp4

26:12

04 - Describe and Summarise your data

001 Describe and Summarise your data.mp4

18:08

05 - Dealing with Missing data

001 Understanding missing data.mp4

11:37

06 - Visualize your data using ggplot

001 Data-Visualization-Cheat-Sheet.pdf

001 Visualize your data using ggplot.mp4

16:27

07 - Hypothesis testing

001 Hypothesis testing.mp4

10:05

08 - T-test

001 T-test and interpreting p values using R Programming.mp4

26:28

09 - ANOVA

001 ANOVA.mp4

15:11

10 - CHI SQUARED

001 CHI SQUARED.mp4

16:33

11 - Linear Regression

001 Linear Regression.mp4

19:45

12 - R programming in 1 hour

001 Epidemiological-studies-cheat-sheet.pdf

001 R programming in 1 hour.mp4

58:26

001 Statistics-Cheat-Sheet.pdf

Description

A crash course for beginners

What You'll Learn?

Clean your data
Manipulate your data
Describe and summarize your data
Visualize your data (using ggplot)
Analyze your data (t-test, ANOVA, chi-squared and linear regression)

Who is this for?

From absolute beginners to intermediate users of R

Anyone wanting to learn how to analyze data

What You Need to Know?

No coding experience needed. You'll learn everything you need to know in this course

More details

Description
This R programming course will take you through the end-to-end process of data analysis, including cleaning, manipulating, summarizing, describing, visualizing and analysing your data. The data analysis section includes the t-test, ANOVA, chi-squared test and linear regression. Every lesson includes examples using data that is built into R (so you already have access to the data). That means that you'll be able to replicate absolutely every example in the course.
Learning statistics doesnâ€™t need to be difficult or scary. In this course youâ€™ll be brought through the process in a step-by-step fashion. The fact that all of the examples used in the course use datasets that are built into R means that you can practise each set of skills in your own time before moving onto the next step.
By the end of the course you'll feel completely comfortable with R programming. You'll be able to create incredible graphs and plots. Youâ€™ll understand the principles of hypothesis testing and how to perform statistical tests. Importantly, youâ€™ll understand how to interpret the results of statistical tests. The teaching methods used in this course are designed to keep you engaged and make sure that you're excited about your new skills.
Good luckâ€¦ and ENJOY!!
Who this course is for:
From absolute beginners to intermediate users of R
Anyone wanting to learn how to analyze data

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Dr Greg Martin is a medical doctor with a Masters in Public Health and an MBA degree. His professional experience includes working as the Head of Science and Research at the World Cancer Research Fund and the Director of Elimination of Mother to Child Transmission at the Clinton Health Access Initiative. He is also the founder and Editor-in-Chief of the peer-reviewed journal Globalization and Health.

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