What you will learn in the course
The Data Analysis and Interpretation using STATA course takes you from absolute beginner level of both STATA and statistical methods, to fairly advanced topics such as Analysis of Variance and regression.
The course leans heavily on using the extremely flexible STATA command language, apart from utilizing the graphical user interface in few cases.
You will learn the following:
- How to create variables and enter data, data importing, and data preparation
- Best practices of using STATA such us using do-files, and logging
- Summarizing data using descriptive statistics
- Exploring relationships between different types of variables
- Choosing appropriate charts and developing them
- Transforming variables and managing the data to suit your analyses
- Choosing the appropriate inferential tests such as chi-square, t-tests and regression and running them
- How to interpret all the statistics presented in the course and presenting them using the APA format
Course curriculum
Week 1
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- What is STATA (1:18)
- STATA interface (4:51)
- Understanding STATA commands (3:47)
- Using STATA help (4:16)
- Data (6:36)
- Variables (10:17)
- Measurement levels (13:18)
- Branches of statistics (5:39)
- Download practice data sets
- Creating variables 1 (5:28)
- Creating variables 2 (6:04)
- Entering data (1:57)
- Importing from Excel (1:39)
- Changing variable properties 1 (3:58)
- Changing variable properties 2 - Value labels and notes (5:17)
- Importing from SPSS (1:26)
- Using Do-Files (3:09)
- Using logs (1:29)
- Exploring the data set and variables (3:43)
- Frequencies (5:07)
- Reporting frequencies (3:16)
- Summary statistics I (5:55)
- Summary statistics II (2:53)
- Reporting summary statistics (2:18)
Week 2
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- Introduction to variable relationships (1:06)
- Mean comparisons - relationship between categorical and continuous variables (4:53)
- Interpreting and reporting mean differences (4:40)
- Crosstabulation - Relationships between 2 categorical variables (4:55)
- Interpreting and reporting crosstabulations (6:07)
- Correlation - Relationship between 2 continuous variables (4:30)
- Interpreting and reporting correlations (8:53)
Week 3
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Week 4
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Week 5
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- Fundamentals of inferential statistics and hypothesis testing (12:36)
- Running and interpreting correlations (3:56)
- Mean differences - one sample t-test (5:07)
- Interpreting and reporting one sample t-test (10:00)
- Mean differences - paired samples t-test (4:49)
- Interpreting and reporting paired samples t-test (12:08)
- Mean differences - independent samples t-test (10:24)
- Interpreting and reporting independent samples t-test (10:39)
- Mean differences - One Way ANOVA (7:07)
- Interpreting One Way ANOVA (6:55)
- Reporting One Way ANOVA (8:51)
Week 6
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Your certificate
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days
after you enroll
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