This course will break down the learning steepness perceived by many on R programming language. It simplifies the use of R as any other Statistical Package like SPSS and STATA. It is presented in an easy to follow step by step process though all the Statistical Analysis from acquiring your data from any format in to an R environment. Just foloow along as we do this together and build your confidence in the use f R for Statistical Analysis in your quantitative research report, dissertation or thesis.
Study Objectives
- Navigate and prepare R environment for Data Analysis Session
- Data acquisition from other data formats g. SPSS, STATA, DBF, EXCEL, CSV etc
- Create new variables from existing variables in R.
- Identify and understand the need to recode and how to recode variables; quantitative to qualitative and qualitative to qualitative in R.
- Merge dataset of different structures and of the same structures in R
- Know how to filter/subset a dataset for further analysis or to create another subset
- Understand and differentiate between descriptive analysis and inferential analysis.
- Generate descriptive analysis and interpret the results; frequency table, cross tabulations, discreptive statistics (mean, sd, range etc)
- Carry out inferential statistical analysis and interpret the generated results; Chi Sqr Statistics, Ttests(One Sample, Independent Samples And Paired Sample), One Way Anova
- Understand Correlation Coefficients And P-Values And Interpret Them From Results Generated
- Know How To Statistically Test Hypothesis
- Carry Out Linear Regression Analysis And Interpret The Results Of The Analysis
- Carry Out Binary Logistic Regression Analysis And Interpret The Results Of The Analysis
- Plot Basic Charts; Line, Scatter, Histogram, Bar Chart And Pie Charts
- Take Data From The Raw State To The State Of Information Provision For Decision Making
This course includes:
- Approximately 5 hours on-demand video
- Downloadable resources
- Assignments/Test
- There will be a 20 question quiz at the end of the course. The pass score is 75%
- There will be an ungraded assignment for practice towards the end of the training
- Certificate of completion
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Yes you do. The computer must be installed with the R and R Studio (Latest Versions)
You only need to have a little background in statistics
Yes, You will be certified after the course but you need to score a minimum of 75% in the quiz at the end of the course before you are certified
NO... You need a computer with the lates versions of R and R Studio installed
Yes youcan watch the videos on your smart videos and Tablets but you cannot practice the use of the software on them.
Requirements
- A little background in Statistics, Personal Computer with the latest versions of R and R Studio installed, Internet Access
Features
- Easy to follow Step by Step Instructions, Training Manuals, Sample Datasets for Practice etc
Target audiences
- Students (Undergraduate and Postgraduate), Researchers , Statisticians, Health Practitioners (Medical Doctors, Nurses, Pharmacist, Physotherapist, Lab Scientists etc), and any other persons that has a desire to increase their level of statistical.
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If you are taking this course, you can always chat me up on WhatsApp through 08033638581 or through my email: ola.aduroja@thummimng.com .
Assignments should be submitted to the above email address.