C104: Data Analysis Using SPSS – Heyon Institute<\/title>\n <link href=\"https:\/\/fonts.googleapis.com\/css2?family=Inter:wght@300;400;500;600;700;800&display=swap\" rel=\"stylesheet\">\n <link rel=\"stylesheet\" href=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/font-awesome\/6.4.0\/css\/all.min.css\">\n \n <style>\n :root {\n --primary-color: #0c4a6e;\n --secondary-color: #0284c7;\n --accent-color: #f59e0b;\n --success-color: #10b981;\n --text-main: #1e293b;\n --text-muted: #64748b;\n --bg-light: #f8fafc;\n --white: #ffffff;\n --shadow: 0 10px 30px rgba(12, 74, 110, 0.06);\n }\n\n .heyon-course-body * { box-sizing: border-box; font-family: 'Inter', sans-serif; margin: 0; padding: 0; }\n .heyon-course-body { color: var(--text-main); background-color: #f1f5f9; line-height: 1.6; }\n\n .course-hero {\n background: linear-gradient(rgba(12, 74, 110, 0.88), rgba(12, 74, 110, 0.85)), url('https:\/\/heyoninstitute.lk\/wp-content\/uploads\/2026\/06\/Gemini_Generated_Image_mm40u7mm40u7mm40.png') no-repeat center center;\n background-size: cover;\n color: var(--white);\n padding: 80px 20px;\n text-align: center;\n border-radius: 0 0 24px 24px;\n }\n\n .course-badge { background: var(--accent-color); color: var(--primary-color); font-weight: 700; padding: 6px 16px; border-radius: 50px; display: inline-block; font-size: 0.9rem; margin-bottom: 15px; text-transform: uppercase; }\n .course-hero h1 { font-size: 2.5rem; font-weight: 800; margin-bottom: 15px; }\n\n .course-container { max-width: 1200px; margin: 40px auto; padding: 0 20px; display: grid; grid-template-columns: 2fr 1fr; gap: 40px; }\n .course-main-content { background: var(--white); padding: 40px; border-radius: 16px; box-shadow: var(--shadow); }\n .content-section { margin-bottom: 35px; }\n .content-section h2 { font-size: 1.5rem; color: var(--primary-color); margin-bottom: 15px; border-bottom: 2px solid #e2e8f0; padding-bottom: 8px; }\n\n .syllabus-table { width: 100%; border-collapse: collapse; margin-top: 20px; }\n .syllabus-table th, .syllabus-table td { padding: 12px; border: 1px solid #e2e8f0; text-align: left; }\n .syllabus-table th { background: var(--bg-light); color: var(--primary-color); }\n\n .facts-card { background: var(--white); padding: 30px; border-radius: 16px; box-shadow: var(--shadow); border-top: 6px solid var(--primary-color); }\n .fact-item { display: flex; align-items: center; gap: 15px; padding: 15px 0; border-bottom: 1px solid #f1f5f9; }\n .fact-icon { width: 40px; height: 40px; background: rgba(2, 132, 199, 0.1); color: var(--secondary-color); border-radius: 50px; display: flex; align-items: center; justify-content: center; }\n .fact-text label { display: block; font-size: 0.8rem; color: var(--text-muted); text-transform: uppercase; font-weight: 600; }\n .fact-text value { display: block; font-size: 1rem; font-weight: 700; }\n\n .action-card { background: var(--primary-color); color: var(--white); padding: 30px; border-radius: 16px; margin-top: 30px; }\n .btn { display: block; width: 100%; padding: 12px; border-radius: 8px; text-align: center; text-decoration: none; font-weight: 700; margin-bottom: 10px; background: var(--accent-color); color: var(--primary-color); transition: all 0.3s; }\n .btn-secondary { background: rgba(255, 255, 255, 0.15); color: var(--white); border: 1px solid rgba(255, 255, 255, 0.2); }\n .btn:hover { filter: brightness(1.1); }\n\n @media (max-width: 992px) { .course-container { grid-template-columns: 1fr; } }\n <\/style>\n<\/head>\n<body class=\"heyon-course-body\">\n\n <section class=\"course-hero\">\n <span class=\"course-badge\">Course Code: C104<\/span>\n <h1>Data Analysis Using SPSS<\/h1>\n <p>An Intensive, 100% Hands-On Technical Training for Government Officers, Private Sector Professionals, and Researchers.<\/p>\n <\/section>\n\n <div class=\"course-container\">\n <main class=\"course-main-content\">\n <div class=\"content-section\">\n <h2><i class=\"fa-solid fa-file-lines\"><\/i> Course Framework<\/h2>\n <p>This intensive 1-day bootcamp is customized to support multi-sector data handlers. To provide maximum value across varied fields, the curriculum generalizes core data processes\u2014moving away from department-specific exam metrics toward cross-functional datasets (such as public sector surveys, consumer market questionnaires, and academic research data). Participants gain complete operational familiarity with SPSS, transforming raw multi-format records into professional insights ready for board presentations or thesis defense.<\/p>\n <\/div>\n\n <div class=\"content-section\">\n <h2><i class=\"fa-solid fa-calendar-days\"><\/i> Bootcamp Practical Lab Schedule<\/h2>\n <table class=\"syllabus-table\">\n <thead><tr><th>Time<\/th><th>Module<\/th><th>Deliverables<\/th><\/tr><\/thead>\n <tbody>\n <tr><td>08:30-09:00<\/td><td>Lab Provisioning<\/td><td>Environment Setup<\/td><\/tr>\n <tr><td>09:00-10:30<\/td><td>Data Import & Preparation<\/td><td>Data cleaning & structuring<\/td><\/tr>\n <tr><td>10:45-12:15<\/td><td>Descriptive Statistics<\/td><td>Trend & chart extraction<\/td><\/tr>\n <tr><td>12:45-14:15<\/td><td>Survey Validations<\/td><td>Reliability & Alpha scaling<\/td><\/tr>\n <tr><td>14:15-15:45<\/td><td>Hypothesis Testing<\/td><td>T-Tests, ANOVA & Reporting<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n <div class=\"content-section\">\n <h2><i class=\"fa-solid fa-circle-exclamation\"><\/i> Administrative Rules<\/h2>\n <ul>\n <li><strong>Strict Laboratory Hygiene:<\/strong> No food or beverages allowed inside the terminal environment.<\/li>\n <li><strong>Storage:<\/strong> Bags and documents must be stored in external lockers.<\/li>\n <li><strong>Attendance:<\/strong> Minimum 80% attendance required for certification.<\/li>\n <li><strong>Capacity:<\/strong> Requires a minimum of 30 participants to run.<\/li>\n <\/ul>\n <\/div>\n <\/main>\n\n <aside class=\"course-sidebar\">\n <div class=\"facts-card\">\n <div class=\"fact-item\">\n <div class=\"fact-icon\"><i class=\"fa-solid fa-clock\"><\/i><\/div>\n <div class=\"fact-text\"><label>Duration<\/label><value>1 Day (8:30 AM \u2013 4:00 PM)<\/value><\/div>\n <\/div>\n <div class=\"fact-item\">\n <div class=\"fact-icon\"><i class=\"fa-solid fa-tags\"><\/i><\/div>\n <div class=\"fact-text\"><label>Investment<\/label><value>LKR 5,000\/-<\/value><\/div>\n <\/div>\n <div class=\"fact-item\">\n <div class=\"fact-icon\"><i class=\"fa-solid fa-microchip\"><\/i><\/div>\n <div class=\"fact-text\"><label>Prerequisites<\/label><value>Basic Excel understanding<\/value><\/div>\n <\/div>\n <\/div>\n\n <div class=\"action-card\">\n <h3>Enrollment Options<\/h3>\n <a href=\"https:\/\/heyoninstitute.lk\/?page_id=381\" target=\"_blank\" class=\"btn\"><i class=\"fa-solid fa-pen-to-square\"><\/i> Apply Online Now<\/a>\n <a href=\"https:\/\/heyoninstitute.lk\/wp-content\/uploads\/2026\/05\/Heyon_Institute_Enrollment_Application.pdf\" target=\"_blank\" class=\"btn btn-secondary\"><i class=\"fa-solid fa-download\"><\/i> Download Physical Form<\/a>\n <\/div>\n <\/aside>\n <\/div>\n<\/body>\n<\/html>\n","protected":false},"excerpt":{"rendered":"<p>C104: Data Analysis Using SPSS – Heyon Institute Course Code: C104 Data Analysis Using SPSS An Intensive, 100% Hands-On Technical Training for Government Officers, Private Sector Professionals, and Researchers. Course Framework This intensive 1-day bootcamp is customized to support multi-sector data handlers. To provide maximum value across varied fields, the curriculum generalizes core data processes\u2014moving […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-637","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/pages\/637","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=637"}],"version-history":[{"count":2,"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/pages\/637\/revisions"}],"predecessor-version":[{"id":643,"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/pages\/637\/revisions\/643"}],"wp:attachment":[{"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":637,"date":"2026-06-03T12:42:17","date_gmt":"2026-06-03T12:42:17","guid":{"rendered":"https:\/\/heyoninstitute.lk\/?page_id=637"},"modified":"2026-06-03T13:13:54","modified_gmt":"2026-06-03T13:13:54","slug":"data-analysis-using-spss","status":"publish","type":"page","link":"https:\/\/heyoninstitute.lk\/?page_id=637","title":{"rendered":"DATA ANALYSIS USING SPSS"},"content":{"rendered":"\n\n\n\n \n \n C104: Data Analysis Using SPSS – Heyon Institute<\/title>\n <link href=\"https:\/\/fonts.googleapis.com\/css2?family=Inter:wght@300;400;500;600;700;800&display=swap\" rel=\"stylesheet\">\n <link rel=\"stylesheet\" href=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/font-awesome\/6.4.0\/css\/all.min.css\">\n \n <style>\n :root {\n --primary-color: #0c4a6e;\n --secondary-color: #0284c7;\n --accent-color: #f59e0b;\n --success-color: #10b981;\n --text-main: #1e293b;\n --text-muted: #64748b;\n --bg-light: #f8fafc;\n --white: #ffffff;\n --shadow: 0 10px 30px rgba(12, 74, 110, 0.06);\n }\n\n .heyon-course-body * { box-sizing: border-box; font-family: 'Inter', sans-serif; margin: 0; padding: 0; }\n .heyon-course-body { color: var(--text-main); background-color: #f1f5f9; line-height: 1.6; }\n\n .course-hero {\n background: linear-gradient(rgba(12, 74, 110, 0.88), rgba(12, 74, 110, 0.85)), url('https:\/\/heyoninstitute.lk\/wp-content\/uploads\/2026\/06\/Gemini_Generated_Image_mm40u7mm40u7mm40.png') no-repeat center center;\n background-size: cover;\n color: var(--white);\n padding: 80px 20px;\n text-align: center;\n border-radius: 0 0 24px 24px;\n }\n\n .course-badge { background: var(--accent-color); color: var(--primary-color); font-weight: 700; padding: 6px 16px; border-radius: 50px; display: inline-block; font-size: 0.9rem; margin-bottom: 15px; text-transform: uppercase; }\n .course-hero h1 { font-size: 2.5rem; font-weight: 800; margin-bottom: 15px; }\n\n .course-container { max-width: 1200px; margin: 40px auto; padding: 0 20px; display: grid; grid-template-columns: 2fr 1fr; gap: 40px; }\n .course-main-content { background: var(--white); padding: 40px; border-radius: 16px; box-shadow: var(--shadow); }\n .content-section { margin-bottom: 35px; }\n .content-section h2 { font-size: 1.5rem; color: var(--primary-color); margin-bottom: 15px; border-bottom: 2px solid #e2e8f0; padding-bottom: 8px; }\n\n .syllabus-table { width: 100%; border-collapse: collapse; margin-top: 20px; }\n .syllabus-table th, .syllabus-table td { padding: 12px; border: 1px solid #e2e8f0; text-align: left; }\n .syllabus-table th { background: var(--bg-light); color: var(--primary-color); }\n\n .facts-card { background: var(--white); padding: 30px; border-radius: 16px; box-shadow: var(--shadow); border-top: 6px solid var(--primary-color); }\n .fact-item { display: flex; align-items: center; gap: 15px; padding: 15px 0; border-bottom: 1px solid #f1f5f9; }\n .fact-icon { width: 40px; height: 40px; background: rgba(2, 132, 199, 0.1); color: var(--secondary-color); border-radius: 50px; display: flex; align-items: center; justify-content: center; }\n .fact-text label { display: block; font-size: 0.8rem; color: var(--text-muted); text-transform: uppercase; font-weight: 600; }\n .fact-text value { display: block; font-size: 1rem; font-weight: 700; }\n\n .action-card { background: var(--primary-color); color: var(--white); padding: 30px; border-radius: 16px; margin-top: 30px; }\n .btn { display: block; width: 100%; padding: 12px; border-radius: 8px; text-align: center; text-decoration: none; font-weight: 700; margin-bottom: 10px; background: var(--accent-color); color: var(--primary-color); transition: all 0.3s; }\n .btn-secondary { background: rgba(255, 255, 255, 0.15); color: var(--white); border: 1px solid rgba(255, 255, 255, 0.2); }\n .btn:hover { filter: brightness(1.1); }\n\n @media (max-width: 992px) { .course-container { grid-template-columns: 1fr; } }\n <\/style>\n<\/head>\n<body class=\"heyon-course-body\">\n\n <section class=\"course-hero\">\n <span class=\"course-badge\">Course Code: C104<\/span>\n <h1>Data Analysis Using SPSS<\/h1>\n <p>An Intensive, 100% Hands-On Technical Training for Government Officers, Private Sector Professionals, and Researchers.<\/p>\n <\/section>\n\n <div class=\"course-container\">\n <main class=\"course-main-content\">\n <div class=\"content-section\">\n <h2><i class=\"fa-solid fa-file-lines\"><\/i> Course Framework<\/h2>\n <p>This intensive 1-day bootcamp is customized to support multi-sector data handlers. To provide maximum value across varied fields, the curriculum generalizes core data processes\u2014moving away from department-specific exam metrics toward cross-functional datasets (such as public sector surveys, consumer market questionnaires, and academic research data). Participants gain complete operational familiarity with SPSS, transforming raw multi-format records into professional insights ready for board presentations or thesis defense.<\/p>\n <\/div>\n\n <div class=\"content-section\">\n <h2><i class=\"fa-solid fa-calendar-days\"><\/i> Bootcamp Practical Lab Schedule<\/h2>\n <table class=\"syllabus-table\">\n <thead><tr><th>Time<\/th><th>Module<\/th><th>Deliverables<\/th><\/tr><\/thead>\n <tbody>\n <tr><td>08:30-09:00<\/td><td>Lab Provisioning<\/td><td>Environment Setup<\/td><\/tr>\n <tr><td>09:00-10:30<\/td><td>Data Import & Preparation<\/td><td>Data cleaning & structuring<\/td><\/tr>\n <tr><td>10:45-12:15<\/td><td>Descriptive Statistics<\/td><td>Trend & chart extraction<\/td><\/tr>\n <tr><td>12:45-14:15<\/td><td>Survey Validations<\/td><td>Reliability & Alpha scaling<\/td><\/tr>\n <tr><td>14:15-15:45<\/td><td>Hypothesis Testing<\/td><td>T-Tests, ANOVA & Reporting<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n <div class=\"content-section\">\n <h2><i class=\"fa-solid fa-circle-exclamation\"><\/i> Administrative Rules<\/h2>\n <ul>\n <li><strong>Strict Laboratory Hygiene:<\/strong> No food or beverages allowed inside the terminal environment.<\/li>\n <li><strong>Storage:<\/strong> Bags and documents must be stored in external lockers.<\/li>\n <li><strong>Attendance:<\/strong> Minimum 80% attendance required for certification.<\/li>\n <li><strong>Capacity:<\/strong> Requires a minimum of 30 participants to run.<\/li>\n <\/ul>\n <\/div>\n <\/main>\n\n <aside class=\"course-sidebar\">\n <div class=\"facts-card\">\n <div class=\"fact-item\">\n <div class=\"fact-icon\"><i class=\"fa-solid fa-clock\"><\/i><\/div>\n <div class=\"fact-text\"><label>Duration<\/label><value>1 Day (8:30 AM \u2013 4:00 PM)<\/value><\/div>\n <\/div>\n <div class=\"fact-item\">\n <div class=\"fact-icon\"><i class=\"fa-solid fa-tags\"><\/i><\/div>\n <div class=\"fact-text\"><label>Investment<\/label><value>LKR 5,000\/-<\/value><\/div>\n <\/div>\n <div class=\"fact-item\">\n <div class=\"fact-icon\"><i class=\"fa-solid fa-microchip\"><\/i><\/div>\n <div class=\"fact-text\"><label>Prerequisites<\/label><value>Basic Excel understanding<\/value><\/div>\n <\/div>\n <\/div>\n\n <div class=\"action-card\">\n <h3>Enrollment Options<\/h3>\n <a href=\"https:\/\/heyoninstitute.lk\/?page_id=381\" target=\"_blank\" class=\"btn\"><i class=\"fa-solid fa-pen-to-square\"><\/i> Apply Online Now<\/a>\n <a href=\"https:\/\/heyoninstitute.lk\/wp-content\/uploads\/2026\/05\/Heyon_Institute_Enrollment_Application.pdf\" target=\"_blank\" class=\"btn btn-secondary\"><i class=\"fa-solid fa-download\"><\/i> Download Physical Form<\/a>\n <\/div>\n <\/aside>\n <\/div>\n<\/body>\n<\/html>\n","protected":false},"excerpt":{"rendered":"<p>C104: Data Analysis Using SPSS – Heyon Institute Course Code: C104 Data Analysis Using SPSS An Intensive, 100% Hands-On Technical Training for Government Officers, Private Sector Professionals, and Researchers. Course Framework This intensive 1-day bootcamp is customized to support multi-sector data handlers. To provide maximum value across varied fields, the curriculum generalizes core data processes\u2014moving […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-637","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/pages\/637","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=637"}],"version-history":[{"count":2,"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/pages\/637\/revisions"}],"predecessor-version":[{"id":643,"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=\/wp\/v2\/pages\/637\/revisions\/643"}],"wp:attachment":[{"href":"https:\/\/heyoninstitute.lk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}