Complete & Practical SAS, Statistics & Data Analysis Course

About the course

What Will I Learn?

Be equipped with a powerful tool for the most sexy data analytics career path!
Read and write various types of raw data with different formats and options
Create and modify various professional and statistical reports
Be aware of statistical analysis and concepts such as non parametric test, interaction, correlation..
Master the most complete SAS graphics tool such GTL and statistical plots
Learn comprehensive SAS Macro programming knowledge -- variables and user defined functions
Perform many real world case studies -- retail banks, credit bureau, marketing firms and clinical trials
Apply powerful data manipulation -- SQL, subsetting, slicing, filtering, transformation, ranking, sorting..
Understand data management and data piping
Use SAS ODS -- help deliver many useful objects such as charts, tables between different systems
Hundreds of SAS sample codes to explain arrays, functions and business cases

Course content

Sections: 21

•

Activities: 1

•

Resources: 170

1.1. What are you going to learn from this course
Diễn đàn tin tức

2.1. Introduce SAS environment
2.2. SAS library
2.3. Try SAS codes
2.4. Home work and data installation

3.1. Create data sets from external files
3.2. SAS program - create data sets
3.3. Valid names and comments
SAS program -- Valid names and comments
3.5. Data type and format
3.6. SAS program -- data type and format
3.7. SAS program - date and format
3.8. Mechanism of SAS data set
3.9. Summarize SAS operations

4.1. List input (1)
4.2. List input (2)
4.3. SAS program -- list input
4.4. Read data with fixed layout
4.5. Read data with modified list input
4.6. Input data with other features
4.6. Input data with other features
4.7. Write data using data step
4.8. SAS program --write data
4.9. Import and export data

5.1. Duplicate data sets
5.2. SAS program -- duplicate data sets
5.3. Modify variables
5.4. SAS program -- modify variables
5.5. Variables selection.
5.6. Rename variables
5.7. SAS program -- rename variables
5.8. Assign labels to variables
5.9. SAS program -- assign labels to variables
5.10. Subsetting data sets
5.11. SAS program -- Subsetting data sets

6.1. Structured programming (I)
6.2. SAS program -- Structured programming (I)
6.3. Structured programming (II)
6.4. SAS program -- Structured programming (II)

7.1. Data step character functions
7.2. SAS program --data step character functions
7.3. Data step numeric functions
7.4. SAS program -- numeric functions
7.5. Data step special functions
7.6. Data step special functions
7.7. User defined format
7.8. [stream=huph/Udemy_complete_practical_sas statistics_data_analysis_course/07 SAS data step functions/046 SAS program -- User defined format.mp4]

8.1. Case study 001(read employee data)
8.2. SAS program -- read employee data
8.3. Case study 002(read chronic disease data)
8.4. SAS program -- Case study 002(read chronic disease data)
8.5. Case study 003 ( read business account data)
8.6. SAS program -- Case study 003 ( read business account data)
8.7. [stream=huph/Udemy_complete_practical_sas statistics_data_analysis_course/08 Use cases study (1)/053 Case study 004 (process stock data).mp4]
8.8. SAS program -- Case study 004 (process stock data)

9.1. Automatic Variables(_N_ and _ERROR_)
9.2. [stream=huph/Udemy_complete_practical_sas statistics_data_analysis_course/09 Other SAS features in data step programming/056 Output statement.mp4]
9.3. Return statement
9.4. pinpoint the first and last record
9.5. SAS program -- Pinpoint the first and last record
9.6. Retain statement
9.7. SAS program -- Retain statement
9.8. Data step array (1)
9.9. Data step array (2)

10.1. Case study 005(create new KPI features)
10.2. Case study 006(students grades)

11.1. Browse and print data set
11.2. SAS program -- Browse and print data set
11.3. Sort data
8.4. SAS program -- sort data
11.5. Merge multiple data sets
11.6. Stack data sets
11.7. Examples of merging and splitting data sets

12.1. Transpose data sets
12.2. Examples of transposing data
12.3. Understand statistics and distribution..
12.4. Summarize continuous data
12.5. Examples of PROC MEANS (1)
12.6. Examples of PROC MEANS (2)
12.7. Examples of PROC MEANS (3)
12.8. Summarize categorical variables
12.9. Examples of PROC FREQ (1)
12.10. Examples of PROC FREQ (2)
12.11. Examples of PROC FREQ (3)
12.12. Understand uni-variate study
12.13. Examples of uni-variate analysis
12.14. Ranking data and bucket analysis
12.15. Application of PROC RANK to use cases
12.16. SAS ODS (1)
12.17. SAS ODS (2)
12.18. Use cases of SAS ODS

13.1. Look up data structure -- PROC CONTENTS
13.2. Examples of PROC CONTENTS
13.3. Data management using PROC Datasets
13.4. Learn PROC FSLIST pipe

14.1. SAS SQL (1)
14.2. SAS SQL (2)
14.3. SAS SQL (3)
14.4. SAS SQL (4)
14.5. SAS SQL (5)

15.1. Case study 007 (market analysis 1)
15.2. SAS program -- Case study 007 (market analysis 1)
15.3. Case study 008 (market analysis 2)
15.4. SAS program -- Case study 008 (market analysis 2)

16.1. Create Tabular report (1)
16.2. SAS program -- Create Tabular report (1)
16.3. SAS program -- create Tabular report (1) Cont.
16.4. Create Tabular report (2)
16.5. SAS program -- create Tabular report (2)
16.6. Create Tabular report (3)

17.1. PROC REPORT (1)
17.2. SAS program -- PROC REPORT (2)
17.3. SAS program -- PROC REPORT (2)
17.4. PROC REPORT (3)
17.5. PROC REPORT (4)

18.1. Create data sample
18.2. SAS program -- create data sample
18.3. Data standdardization
18.4. SAS program -- data standzrdization
18.5. Handle missing values in SAS
18.6. Correlation analysis (1)
18.7. Correlation analysis (2)
18.8. SAS program -- Correlation analysis
18.9. Statistical test (1)
10.10. Statistical test (2)
18.11. Statistical test (3)

19.1. Introduce SAS Macro
19.2. SAS macro variable (1)
19.3. Examples of SAS macro variable (1)
19.4. SAS macro variables (2)
19.5. Examples of SAS macro variables (2)
19.6. SAS macro programs (1)
19.7. SAS macro programs (2)
19.8. SAS macro programs (3)
19.9. SAS program -- SAS macro programs (3)
19.10. SAS macro functions (1)
19.11. SAS program -- SAS macro functions (1)
19.12. SAS macro functions (2)
19.13. SAS program -- SAS macro functions (2)
19.14. SAS macro functions (3).
19.15. SAS macro functions (4)
19.16. Call execute routine
19.17. Associate SQL to SAS macro

20.1. Apply SAS Macro to correlation study
20.2. Credit risk analysis in SAS (1)
20.3. SAS program -- Credit risk analysis in SAS (1)
20.4. Case study 011 (reporting, chart and ODS)
20.5. SAS program -- Case study 011 (reporting, chart and ODS)
20.6. SAS Graphics (1)
20.7. SAS Graphics (2)

21.1. Home Work Solution 001
21.2. Home Work Solution 002
21.3. Home Work Solution 003
21.4. Home Work Solution 004
21.5. Home Work Solution 005
21.6. Home Work Solution 006
21.7. Home Work Solution 007
21.8. Home Work Solution 008
21.9. Home Work Solution 009
21.10. Home Work Solution 010
21.11. Home Work Solution 011
21.12. Home Work Solution 012
21.13. Home Work Solution 013
21.14. Home Work Solution 014
21.15. Home Work Solution 015
21.16. Home Work Solution 016
21.17. Home Work Solution 017
21.18. Home Work Solution 018
21.19. Home Work Solution 019
21.20. Home Work Solution 020

Enrolment options

Complete & Practical SAS, Statistics & Data Analysis Course

Course modified date: 9 Feb 2024

What Will I Learn?

Be equipped with a powerful tool for the most sexy data analytics career path!
Read and write various types of raw data with different formats and options
Create and modify various professional and statistical reports
Be aware of statistical analysis and concepts such as non parametric test, interaction, correlation..
Master the most complete SAS graphics tool such GTL and statistical plots
Learn comprehensive SAS Macro programming knowledge -- variables and user defined functions
Perform many real world case studies -- retail banks, credit bureau, marketing firms and clinical trials
Apply powerful data manipulation -- SQL, subsetting, slicing, filtering, transformation, ranking, sorting..
Understand data management and data piping
Use SAS ODS -- help deliver many useful objects such as charts, tables between different systems
Hundreds of SAS sample codes to explain arrays, functions and business cases

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Complete & Practical SAS, Statistics & Data Analysis Course

About the course

What Will I Learn?

Course content

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Complete & Practical SAS, Statistics & Data Analysis Course

What Will I Learn?

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