SAS Internship

How This Internship Will Help Your Career

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What you will learn

Day 1: Introduction to SAS

  • Overview of SAS and its applications
  • Setting up the SAS environment
  • Basic syntax and concepts in SAS programming

Day 2: Data Import and Export

  • Importing data into SAS from various file formats (e.g., Excel, CSV)
  • Exporting SAS datasets to different file formats
  • Handling missing data and data validation

Day 3: Data Manipulation with SAS

  • Filtering and subsetting data using the WHERE statement
  • Sorting and merging datasets
  • Creating new variables and recoding existing variables

Day 4: Data Transformation and Data Cleaning

  • Transforming variables using functions (e.g., numeric, character, date functions)
  • Handling duplicates and outliers
  • Reshaping data using transpose and merge techniques

Day 5: Descriptive Statistics and Data Exploration

  • Calculating descriptive statistics (e.g., mean, median, standard deviation)
  • Summarizing data using PROC MEANS, PROC FREQ, and PROC UNIVARIATE
  • Creating basic graphs and charts using PROC SGPLOT

Day 6: Data Visualization with SAS

  • Creating more advanced graphs and charts using PROC SGPLOT
  • Customizing graph aesthetics and adding annotations
  • Creating dashboards and reports with PROC REPORT and ODS

Day 7: Introduction to SAS SQL

  • Introduction to SQL in SAS
  • Using PROC SQL to query and manipulate data
  • Combining datasets using SQL joins

Day 8: SAS Macros

  • Introduction to SAS macros and their benefits
  • Defining and calling macros
  • Parameterizing and automating SAS code using macros

Day 9: Advanced SAS Programming Techniques

  • Working with conditional statements (IF-THEN-ELSE) and loops
  • Advanced data step programming techniques
  • Performance tuning and optimization

Day 10: SAS Procedures for Data Analysis

  • Exploratory data analysis with PROC MEANS, PROC FREQ, and PROC UNIVARIATE
  • Statistical modeling with PROC GLM, PROC LOGISTIC, and PROC REG
  • Model diagnostics and interpretation

Day 11: SAS Data Integration and ETL

  • Introduction to SAS Data Integration Studio
  • Extract, Transform, Load (ETL) processes
  • Creating and executing data integration jobs

Day 12: SAS Macros for Automation and Efficiency

  • Advanced macro programming techniques
  • Creating reusable macro libraries
  • Automating repetitive tasks using macros

Day 13: Advanced Statistical Analysis with SAS

  • Multivariate analysis with PROC MIXED and PROC FACTOR
  • Time series analysis with PROC ARIMA and PROC TIMESERIES
  • Survival analysis with PROC LIFETEST and PROC PHREG

Day 14: Data Mining and Predictive Modeling with SAS

  • Introduction to data mining concepts
  • Building predictive models using PROC HPLOGISTIC and PROC HPFOREST
  • Evaluating model performance and interpreting results

Day 15: Reporting and Presentation of Results

  • Creating professional reports with PROC REPORT and ODS
  • Presenting results using PROC TABULATE and PROC PRINT
  • Creating interactive dashboards with SAS Visual Analytics

Day 16 to 20: Project Work and Presentation

  • Work on a project that integrates multiple concepts learned during the internship
  • Apply SAS programming and data analysis skills to solve a real-world problem
  • Prepare a presentation to showcase the project and acquired skills