Data Analysis Using SPSS
- Description
- Curriculum
This comprehensive course is designed to equip participants with the essential skills and knowledge needed to conduct data analysis using IBM SPSS Statistics software. Participants will learn how to perform a wide range of statistical analyses, interpret results, and effectively communicate findings using SPSS. Through hands-on exercises, practical examples, and real-world applications, participants will gain proficiency in data manipulation, descriptive statistics, hypothesis testing, regression analysis, and more. By the end of the course, participants will be able to confidently utilize SPSS to analyze data and make informed decisions in various professional contexts.
Introduction to Data Analysis and SPSS
- Overview of data analysis process
- Introduction to IBM SPSS Statistics software
- Navigating the SPSS interface and environment
Data Preparation and Management
- Importing data into SPSS
- Data cleaning and manipulation techniques
- Variable transformation and recoding
Descriptive Statistics and Data Visualization
- Calculating descriptive statistics: measures of central tendency, dispersion, and distribution
- Creating charts and graphs in SPSS
- Exploring relationships between variables visually
Hypothesis Testing and Statistical Inference
- Understanding principles of hypothesis testing
- Performing t-tests, chi-square tests, and ANOVA in SPSS
- Interpreting results and making inferences
Correlation and Regression Analysis
- Analyzing relationships between variables using correlation analysis
- Performing linear and multiple regression analysis in SPSS
- Assessing model fit and interpreting regression results
Predictive Modeling and Forecasting
- Introduction to predictive modeling techniques
- Performing logistic regression and decision tree analysis in SPSS
- Forecasting future trends using time series analysis
Factor Analysis and Dimension Reduction
- Understanding factor analysis and principal component analysis (PCA)
- Performing factor analysis in SPSS
- Reducing dimensionality and identifying latent variables
ANOVA and Experimental Design
- Understanding analysis of variance (ANOVA)
- Performing one-way and two-way ANOVA in SPSS
- Exploring experimental design concepts
Cluster Analysis and Segmentation
- Understanding cluster analysis techniques
- Performing hierarchical and k-means clustering in SPSS
- Segmenting data into distinct groups or clusters
Real-World Applications and Case Studies
- Applying SPSS to real-world data analysis problems and scenarios
- Analyzing case studies and practical examples
- Workshop: Conducting a complete data analysis project using SPSS
Deborah Osilade
I am Deborah Osilade, I am a Data Analyst and an Instructor at Piston and Fusion Business Academy. I love leveraging data to create high quality data intelligent solutions. I enjoy working on building Predictive Models, Financial models and designing Dashboards solutions. My specialization and core skills are in Finance, Data Science & Machine Learning. I have a Post Graduate Diploma in Data Science and Business Analysis from the University of Texas at Ausin and a B.A. Accounting and Finance degree from Middlesex University. My proficiency with data science tools span across Programming Language for Data Science, Data visualisation tools and Data management tools.
Adeola Badmus
I am Adeola, my 15-year professional career has spanned several roles, organizations, and sectors. I served as a project manager in IntroIT Consulting, Head of Institute / Chief Operating Officer for the Institute for Advance e-Studies, I currently hold the position as the senior project consultant & marketing director for Piston & Fusion. My qualification includes MSc. In Marketing, BSc. In Business Administration, Digital Marketing, Data Analytics, PMP, PRINCE 2, NEBOSH, Level 3 Award in Education & Training. I have been privileged to attend some of the best institutions globally, University of Lagos, Lagos Business School, and University of Liverpool (UK). I am a member of AMA, PMI & IOSH. I have trained over 4000+ professionals in marketing, branding, project management, data analytics and other business related programmes.
Participants enrolling for this programme will be required to have basic computing skills. Participants who meet the programme requirement should pay the course fee and complete the enrollment form 2 weeks before the programme kick off date.
Prospective applicants who do not meet the programme requirement but wants to join the programme should should follow the process detailed below.
Application Process
- Start a chat with the online course adviser or complete the application form
- Application will be reviewed by programme committee
- Application acceptance will be communicated by programme committee
- Pay the programme fee after receiving acceptance from the committee
- Check your mail for programme schedule and payment confirmation
How Do I Become An SPSS Data Analyst?
- Start a chat with our online career adviser to determine the course suitability for your career
- Enroll for the course and attend the upcoming training for your preferred location
- Develop a new CV and update your profile with the new skills you have acquired from the course
- Prospect for employment opportunities for SPSS Data Analyst
Data Analysis Using SPSS Course Fees
Standard |
₦100,000 |
Standard Plus |
₦120,000 |
Professional |
₦150,000 |
Professional Plus |
₦190,000 |
Standard |
₦100,000 |
Training Delivery Virtual |
Duration Weekday: 4 Days Weekend: 4 Days |
Manual & Cases (PDF) |
Templates & Exam Guide (PDF) |
Training Certificate (PDF) |
Project with final grading |
Refreshment |
x |
x |
Perks |
x |
x |
Additional Services |
– |
– |
CV Development | LinkedIn Optimization Available at N5000 |
Standard Plus |
₦120,000 |
Training Delivery Virtual |
Duration Weekday: 4 Days Weekend: 4 Days |
Manual & Cases (PDF) |
Templates & Exam Guide (PDF) |
Training Certificate (PDF) |
Project with final grading |
Refreshment |
x |
x |
Perks |
x |
x |
Additional Services |
Exam Application |
Job Alerts |
CV Development | LinkedIn Optimization 1 Package Included |
Professional |
₦150,000 |
Training Delivery Classroom |
Duration Weekday: 4 Days Weekend: 4 Days |
Manual & Cases Flash Drive (PDF) |
Templates & Exam Guide Flash Drive (PDF) |
Training Certificate Hard Copy |
Project with final grading |
Refreshment |
Tea Break |
Lite Lunch |
Perks |
x |
Notepad & Pen |
Additional Services |
Exam Application |
Job Alerts |
CV Development | LinkedIn Optimization 1 Package Included |
Professional Plus |
₦190,000 |
Training Delivery Classroom |
Duration Weekday: 4 Days Weekend: 4 Days |
Manual & Cases Hard copy & PDF |
Templates & Exam Guide Flash Drive (PDF) |
Training Certificate Hard copy & PDF |
Project Review & grading |
Exam Prep (2 Days Virtual Class) Included in Package |
Refreshment |
Maxi Breakfast |
Maxi Lunch |
Perks |
Back Pack |
Notepad & Pen |
Additional Services |
Exam Application |
Job Alerts |
CV Development | LinkedIn Optimization Both Package Included |
How Much & How Long Is The Data Analysis Using SPSS Course?
Piston and Fusion offer the Course in Lagos Nigeria. For information on dates and fees for each location click on the calendar/fee tab or chat with us.
LAGOS – FEE: ₦ 150,000 |
Weekday: Contact Us |
Weekend: Contact Us |
Lagos Venue: 122a Obadina Street, Omole Phase 1 Ikeja Lagos
ABUJA – FEE: ₦ 150,000 |
Weekday: Contact Us |
Weekend: Contact Us |
Abuja Venue: 27B Limpopo Street, Maitama, Abuja.
Port Harcourt – FEE: ₦ 150,000 |
Contact Us |
Contact Us |
PH Venue: Oceanville Estate, 55 King Perekule Street GRA Phase II, PH
Why Is Piston & Fusion Ranked the Best Training Institute In Nigeria?
- We have trained 6000+ professionals
- We have over 10 years industry experience
- Our facilitators are experienced and certified
- We offer post training career advice and support
People who enrolled for this course, also enrolled for the following courses
Data Analysis – Excel | Business Analysis |
Data Analysis – Advance Excel | Project Management |