Quantitative Data Management and Analysis with SAS

Quantitative Data Management and Analysis with SAS


Welcome to the Quantitative Data Management and Analysis with SAS course! In today's data-driven world, proficiency in quantitative data management and analysis is crucial for organizations to extract actionable insights and drive informed decision-making. This course is designed to equip participants with the skills and knowledge needed to leverage SAS, a leading statistical software suite, for managing and analyzing quantitative data. Whether you're a data analyst, researcher, or business professional, mastering SAS will enable you to efficiently handle large datasets, perform a wide range of statistical analyses, and generate robust insights to support organizational objectives.

Course Objectives:

  1. Proficiency in SAS Programming: Gain proficiency in SAS programming language and syntax to efficiently manipulate and analyze quantitative data, including data import/export, data manipulation, and statistical analysis.
  2. Data Management Techniques: Learn advanced data management techniques in SAS, including data cleaning, merging, sorting, and summarizing, to ensure data quality and consistency.
  3. Exploratory Data Analysis (EDA): Develop skills in exploratory data analysis techniques using SAS, including summary statistics, graphical visualization, and identifying patterns and trends in quantitative datasets.
  4. Statistical Modeling and Analysis: Explore a range of statistical modeling techniques in SAS, including regression analysis, ANOVA, and hypothesis testing, to analyze relationships and make predictions based on quantitative data.
  5. Reporting and Visualization: Learn how to create effective reports and visualizations in SAS to communicate quantitative findings clearly and persuasively to stakeholders.

Organization Benefits:

  1. Enhanced Data Analysis Capabilities: Equipping employees with SAS skills enhances the organization's data analysis capabilities, enabling more sophisticated and rigorous analysis of quantitative datasets.
  2. Increased Efficiency and Productivity: SAS streamlines quantitative data management and analysis processes, leading to increased efficiency, productivity, and reproducibility in research workflows.
  3. Improved Data Quality and Rigor: SAS provides tools and features for ensuring data quality and rigor in quantitative analysis, including data validation, outlier detection, and sensitivity analysis.
  4. Facilitated Collaboration and Knowledge Sharing: SAS facilitates collaboration and knowledge sharing among team members by enabling code sharing, version control, and reproducible research practices.
  5. Enhanced Decision-Making and Strategic Planning: Evidence-based decision-making and strategic planning are facilitated by SAS's ability to generate insights from quantitative data, informing organizational strategies, policies, and initiatives.

Target Participants:

 This course is suitable for professionals, researchers, and students across various disciplines who work with quantitative data and want to enhance their skills in data management and analysis using SAS. Target participants include data analysts, researchers, statisticians, business analysts, academics, and anyone else interested in performing quantitative analysis using SAS.

Course Outline:

  1. Introduction to SAS Programming Basics
    • Overview of SAS programming language and environment
    • Introduction to SAS Studio or SAS Enterprise Guide
    • Case Study: Introduction to basic SAS syntax and data manipulation
  2. Data Import and Cleaning in SAS
    • Importing data into SAS from different sources (CSV, Excel, databases)
    • Data cleaning and preprocessing techniques
    • Case Study: Cleaning and preprocessing a dataset on customer demographics
  3. Advanced Data Management Techniques in SAS
    • Merging, sorting, and summarizing datasets in SAS
    • Creating new variables and computing summary statistics
    • Handling missing values and outliers
    • Case Study: Merging sales data with customer demographics data in SAS
  4. Exploratory Data Analysis (EDA) in SAS
    • Generating summary statistics and frequency tables
    • Creating graphical visualizations (histograms, box plots, scatter plots)
    • Identifying patterns and trends in quantitative datasets
    • Case Study: Conducting EDA on a dataset of retail sales transactions in SAS
  5. Statistical Modeling Techniques in SAS
    • Linear regression analysis
    • ANOVA and regression analysis of variance
    • Hypothesis testing and confidence intervals
    • Case Study: Building a regression model to predict customer churn in SAS
  6. Advanced Statistical Techniques in SAS
    • Logistic regression analysis
    • Survival analysis
    • Cluster analysis
    • Case Study: Conducting survival analysis on medical data in SAS
  7. Reporting and Visualization in SAS
    • Generating reports and visualizations in SAS
    • Creating custom reports using PROC REPORT and PROC TABULATE
    • Creating visualizations using ODS Graphics and SG procedures
    • Case Study: Creating a comprehensive report with visualizations on sales performance using SAS

Essential Information


  1. Our courses are customizable to suit the specific needs of participants.
  2. Participants are required to have proficiency in the English language.
  3. Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
  4. Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
  5. Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
  6. Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
  7. The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
  8. To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
  9. For inquiries, reach out to us via email at [email protected] or by phone at +254 114 830 889.
  10. Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.

Course Date Duration Location Registration
10/06/2024 To 14/06/2024 5 Days Nairobi Kenya
08/07/2024 To 12/07/2024 5 Days Nairobi Kenya
05/08/2024 To 09/08/2024 5 Days Mombasa, Kenya
02/09/2024 To 06/09/2024 5 Days Nairobi Kenya
30/09/2024 To 04/10/2024 5 Days Nairobi Kenya
28/10/2024 To 01/11/2024 5 Days Dubai, UAE
25/11/2024 To 29/11/2024 5 Days Nairobi Kenya
23/12/2024 To 27/12/2024 5 Days Nairobi Kenya