This course is specially put together as an online pack for those who may not have the luxury of time to attend an Onsite training on Statistical Analysis. This bundle of 3 Statistical software also gives the participants a wide field of choices to be able take advantage of the strength and weaknesses of each of the software. The 3 software are the most popularly used in Data Analysis. It is presented in an easy to follow step by step process through all the Statistical Analysis from Data Acquisition, Data Manipulation and Data Analysis. Just follow along as we do this together and build your confidence in the use these packages for Statistical Analysis in your quantitative research report, dissertation or thesis.
Study Objectives
- Prepare a Data Entry Template and Enter Data from a Data Instrument
- Data acquisition from other data formats g. SPSS, STATA, R, DBF, EXCEL, CSV etc
- Create new variables from existing variables in SPSS, STATA and R.
- Identify and understand the need to recode and how to recode variables; quantitative to qualitative and qualitative to qualitative in SPSS, STATA and R.
- Merge dataset of different structures and of the same structures in SPSS, STATA and 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, descriptive 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
- Take Data From The Raw State To The State Of Information Provision For Decision Making
This course includes:
- 5+ hours on-demand video
- Downloadable resources
- Assignments
- Certificate of completion
Curriculum
- 6 Sections
- 17 Lessons
- 6 Weeks
Expand all sectionsCollapse all sections
- Week 13
- 1.1Data Analysis Using SPSS, STATA and R: SPSS – Lesson 1: Introduction to Data Analysis47 Minutes
- 1.2Data Analysis Using SPSS, STATA and R: SPSS – Lesson 2: Data Entry Template Design65 Minutes
- 1.3Data Analysis Using SPSS, STATA and R: SPSS – Lesson 3: Data Acquisition & Data Manipulation in SPSS78 Minutes
- Week 24
- 2.1Data Analysis Using SPSS, STATA and R: SPSS – Lesson 4: Descriptive Analysis56 Minutes
- 2.2Data Analysis Using SPSS, STATA and R: SPSS – Lesson 5: Inferential Analysis52 Minutes
- 2.3Data Analysis Using SPSS, STATA and R: SPSS – Lesson 6: Regression Analysis44 Minutes
- 2.4Data Analysis Using SPSS, STATA and R: End of SPSS Module Quiz10 Minutes20 Questions
- Week 33
- Week 43
- Week 53
- Week 64
- 6.1Data Analysis Using SPSS, STATA and R: R – Lesson 15: Descriptive and Inferential Analysis81 Minutes
- 6.2Data Analysis Using SPSS, STATA and R: R – Lesson 16: Non-Parametric Tests37 Minutes
- 6.3Data Analysis Using SPSS, STATA and R: R – Lesson 17: Plotting Charts21 Minutes
- 6.4Data Analysis Using SPSS, STATA and R: End of R Module Quiz10 Minutes20 Questions
You only need to have a little background in statistics
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.
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
Requirements
- A little background in Statistics
- Personal Computer with the SPSS, STATA and R and R Studio installed
- Internet Access
Features
- Easy to follow Step by Step Instructions, Training Manuals, Sample Datasets for Practice etc
- Class Demonstration Scripts
- Training Manuals
- ample Datasets for Practice etc
Target audiences
- Students (Undergraduate and Postgraduate), Researchers, Statisticians, Medical Professionals (Medical Doctors, Nurses, Pharmacist, Physiotherapist, Lab Scientists etc), and any other persons that has a desire to increase their level of statistical.
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