1. What are the statistical problems (45 actual problem mentioning them, in story telling and creating intrigue) - remaining 55 will be used for exercise sessions and labs (1)
2. Why statistical methods are essential and unavoidable to solve the problems mentioned in (1/ )
3. Metrics of location (mean, median, mode, percentiles, quartiles, skewness, kurtosis), metrics of spread (range, variance, standard deviation), comparison of data items, statistical certainty vs. certainty in the above metrics
- how to compare data items - distributions, statistical summary of comparison
4. What are the natural questions in a programming context?
5. Reading and writing simple tables (3 hours/ )
- direct input
- csv/txt
- checking data (through GUI directory), by printing (PROC PRINT)
- meta data (PROC CONTENTS)
- ordering of variables and searching for information
6. sending SAS datasets to others and receiving and using them (PROC IMPORT/EXPORT files)
7. Complex data structures (one record per line, multiple records per line, multiple lines per record, multiple records across multiple files, nth record selected, randomly selected record, )
8. various systems (UNIX/IBM/PC) - how the data differs in reading/writing/storing/outputting - this may be moved for special sessions or coaching (1 hr / ...)
9. Data steps/sort/merge/Importance and Usage of First.xxxx and Last.xxxx observations (1 hour/ ), output statement
10. Data _NULL_, list, put statements (1 hour/ )
11. PROC SQL (3 hour/ hour)
12. Proc univariate (1 hour/ hour)
13. PROC means (1 hour/ hour)
14. PROC FREQ (1 hour/ hour)
15. PROC SUMMARY/TABULATE (1/ hour)
16. ODS for outputting
17. Data components of PROCs (standard outputs of procs, how to understand object names of components of PROCs, viewing, recombining for your special template output needs) - 1 hour/ hour
18. LAB 1/ hour
19. LAB 2/ hour
20. LAB 3/ hour
4. What are the natural questions in a programming context?
5. Reading and writing simple tables (3 hours/ )
- direct input
- csv/txt
- checking data (through GUI directory), by printing (PROC PRINT)
- meta data (PROC CONTENTS)
- ordering of variables and searching for information
6. sending SAS datasets to others and receiving and using them (PROC IMPORT/EXPORT files)
7. Complex data structures (one record per line, multiple records per line, multiple lines per record, multiple records across multiple files, nth record selected, randomly selected record, )
8. various systems (UNIX/IBM/PC) - how the data differs in reading/writing/storing/outputting - this may be moved for special sessions or coaching (1 hr / ...)
9. Data steps/sort/merge/Importance and Usage of First.xxxx and Last.xxxx observations (1 hour/ ), output statement
10. Data _NULL_, list, put statements (1 hour/ )
11. PROC SQL (3 hour/ hour)
12. Proc univariate (1 hour/ hour)
13. PROC means (1 hour/ hour)
14. PROC FREQ (1 hour/ hour)
15. PROC SUMMARY/TABULATE (1/ hour)
16. ODS for outputting
17. Data components of PROCs (standard outputs of procs, how to understand object names of components of PROCs, viewing, recombining for your special template output needs) - 1 hour/ hour
18. LAB 1/ hour
19. LAB 2/ hour
20. LAB 3/ hour
21. Evaluation and Certification (30 Min/ hour)
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