2023 - 2024 Training Course Schedule
+254 712 260 031
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The Advanced Quantitative Data Management and Analysis with SPSS course is designed to provide participants with an in-depth understanding of advanced techniques and best practices for managing and analyzing quantitative data using SPSS software. SPSS is a widely-used tool in the field of data analysis and statistics. This course aims to enhance participants' skills and knowledge in data management, manipulation, and advanced statistical analysis using SPSS.
The main objective of this training program is to enable participants to proficiently manage and analyze quantitative data using advanced techniques in SPSS. By the end of the course, participants will be able to:
By attending this training program, organizations can expect the following benefits:
Who Should Attend:
This training program is suitable for individuals and organizations involved in advanced quantitative data analysis, research, and decision-making. The target audience includes:
The Advanced Quantitative Data Management and Analysis with SPSS course has a duration of 10 days. This comprehensive training allows participants to gain a thorough understanding of advanced techniques in SPSS for quantitative data analysis.
The training program consists of more than 20 modules, covering various advanced topics in quantitative data management and analysis using SPSS.
Module 1: Introduction to Advanced Quantitative Data Management and Analysis
Module 2: Complex Data Transformations and Manipulation
Module 3: Multivariate Data Analysis Techniques
Module 4: Advanced Regression Analysis
Module 5: Analysis of Variance (ANOVA) and Experimental Designs
Module 6: Advanced Techniques for Data Mining and Predictive Modeling
Module 7: Advanced Statistical Techniques: Chi-square tests, Nonparametric tests, and Survival Analysis
Module 8: Advanced Techniques for Data Visualization in SPSS
Module 9: Automation and Scripting in SPSS
Module 10: Reporting and Presenting Advanced Analysis Results
Module 11: Longitudinal Data Analysis
Module 12: Structural Equation Modeling (SEM)
Module 13: Advanced Data Management Techniques
Module 14: Advanced Statistical Techniques: Advanced Analysis of Variance (ANOVA)
Module 15: Item Response Theory (IRT) Analysis
Module 16: Advanced Techniques for Survey Data Analysis
Module 17: Advanced Techniques for Categorical Data Analysis
Module 18: Advanced Techniques for Big Data Analytics
Module 19: Advanced Techniques for Time Series Analysis
Module 20: Case Studies and Practical Applications
· 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 firstname.lastname@example.org or +254712260031