Introduction:

 The Quantitative Data Management and Analysis with SAS course is designed to provide participants with the necessary skills and knowledge to effectively manage and analyze quantitative data using SAS software. SAS is a widely-used tool in the field of data analysis and statistics. This course aims to equip participants with the techniques and best practices for data management, manipulation, and analysis using SAS.

Objective:

 The main objective of this training program is to enable participants to proficiently manage and analyze quantitative data using SAS. By the end of the course, participants will be able to:

1. Understand the principles of quantitative data management and analysis.
2. Import, clean, and transform data in SAS.
3. Perform descriptive statistics and exploratory data analysis.
4. Conduct hypothesis testing and statistical inference.
5. Create and interpret data visualizations using SAS.
6. Build and evaluate predictive models using SAS.
7. Generate comprehensive reports and presentations of data analysis results.

Organizational Benefits:

By attending this training program, organizations can expect the following benefits:

1. Improved data management efficiency: Participants will learn how to effectively manage and manipulate large datasets, ensuring data integrity and accuracy.
2. Enhanced data analysis capabilities: Organizations will benefit from the advanced statistical analysis techniques and modeling capabilities offered by SAS, enabling better decision-making based on data-driven insights.
3. Increased productivity and time savings: The utilization of SAS for data management and analysis streamlines processes, reduces manual efforts, and improves overall productivity.
4. Enhanced data visualization and reporting: Participants will gain skills in creating visually appealing and informative data visualizations, facilitating clear communication of findings to stakeholders.
5. Better data-driven decision-making: The course equips participants with the skills to analyze and interpret quantitative data, empowering organizations to make informed decisions based on robust statistical analysis.
6. Compliance with industry standards: By adopting SAS for quantitative data management and analysis, organizations ensure alignment with industry-standard practices and methodologies.

Who Should Attend:

 This training program is suitable for individuals and organizations involved in quantitative data analysis, research, and decision-making. The target audience includes:

1. Data analysts and researchers
2. Statisticians and data scientists
3. Business analysts and market researchers
4. Data managers and data administrators
5. Professionals involved in planning and policy-making
6. Graduates and postgraduates in quantitative fields

Duration:

The Quantitative Data Management and Analysis with SAS course has a duration of 5 days. This comprehensive training allows participants to gain a thorough understanding of SAS and its application in quantitative data analysis.

Course Outline:

The training program consists of more than 20 modules, covering various aspects of quantitative data management and analysis using SAS. Here is a sample outline of the course:

Module 1: Introduction to Quantitative Data Management and Analysis

• Overview of quantitative data analysis process
• Introduction to SAS and its features
• Understanding the importance of data quality

Module 2: Importing and Exporting Data in SAS

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

Module 3: Data Manipulation and Transformation in SAS

• Data cleaning techniques and data validation
• Combining and merging datasets
• Reshaping and restructuring data

Module 4: Descriptive Statistics and Exploratory Data Analysis

• Calculating descriptive statistics using SAS
• Visualizing data distributions and summary statistics
• Exploring relationships and patterns in data

Module 5: Hypothesis Testing and Statistical Inference

• Conducting hypothesis tests using SAS
• Interpreting p-values and significance levels
• Performing t-tests, ANOVA, and chi-square tests

Module 6: Regression Analysis in SAS

• Understanding regression analysis concepts
• Performing simple and multiple regression in SAS
• Assessing model fit and interpreting regression coefficients

Module 7: Data Visualization with SAS

• Creating basic and advanced visualizations using SAS
• Customizing graphs and charts for effective communication
• Interactive data visualization techniques

Module 8: Predictive Modeling with SAS

• Introduction to predictive modeling
• Building predictive models using regression, decision trees, and other techniques
• Evaluating model performance and making predictions

Module 9: Survival Analysis with SAS

• Introduction to survival analysis concepts
• Analyzing survival data using Kaplan-Meier and Cox regression models
• Interpreting survival curves and hazard ratios

Module 10: Advanced SAS Programming Techniques

• Efficient data manipulation using SAS programming
• Using SAS macros for automation and efficiency
• Debugging and error handling techniques in SAS programming

Module 11: Longitudinal Data Analysis with SAS

• Understanding longitudinal data and analysis requirements
• Analyzing repeated measures data using mixed models
• Handling missing data in longitudinal analysis

Module 12: Cluster Analysis and Segmentation using SAS

• Introduction to cluster analysis concepts
• Performing cluster analysis using SAS
• Identifying customer segments and target groups

Module 13: Factor Analysis and Dimension Reduction in SAS

• Exploratory factor analysis in SAS
• Principal component analysis and dimension reduction techniques
• Interpreting factor loadings and component scores

Module 14: Survey Data Analysis with SAS

• Analyzing survey data using SAS procedures
• Applying survey weights and accounting for complex survey designs
• Generating survey reports and estimates

Module 15: Time Series Analysis with SAS

• Introduction to time series analysis
• Analyzing and forecasting time series data using SAS
• Identifying trends, seasonality, and autocorrelation

Module 16: Advanced Statistical Techniques with SAS

• Advanced statistical techniques in SAS (e.g., logistic regression, discriminant analysis)
• Applying advanced techniques to real-world datasets
• Interpreting and presenting results

Module 17: SAS Enterprise Guide: Introduction and Application

• Overview of SAS Enterprise Guide and its features
• Using SAS Enterprise Guide for data management and analysis
• Automating tasks and generating reports

Module 18: Data Mining and Text Analytics using SAS

• Introduction to data mining and text analytics
• Mining structured and unstructured data using SAS
• Extracting insights and patterns from textual data

Module 19: Reporting and Presenting Results

• Creating comprehensive reports and summaries using SAS
• Designing effective data visualizations for reports and presentations
• Communicating analysis results to stakeholders

Module 20: Case Studies and Practical Applications

• Applying SAS techniques to real-world case studies
• Solving data analysis problems and challenges
• Hands-on exercises and projects

General Notes

·         All our courses can be Tailor-made to participants' needs

·         The participant must be conversant in English

·         Presentations are well-guided, practical exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10 years of experience.

·         Upon completion of training the participant will be issued with a Foscore development center certificate (FDC-K)

·         Training will be done at the Foscore development center (FDC-K) centers. We also offer inhouse and online training on the client schedule

·         Course duration is flexible and the contents can be modified to fit any number of days.

·         The course fee for onsite training includes facilitation training materials, 2 coffee breaks, a buffet lunch, and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance, and other personal expenses.

·         Accommodation, pickup, freight booking, and Visa processing arrangement, are done on request, at discounted prices.

·         Tablet and Laptops are provided to participants on request as an add-on cost to the training fee.

·         One-year free Consultation and Coaching provided after the course.

·         Register as a group of more than two and enjoy a discount of (10% to 50%)

·         Payment should be done before commence of the training or as agreed by the parties, to the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for you.

·         For any inquiries reach us at training@fdc-k.org or +254712260031

·         Website:www.fdc-k.org