About This Course
The SPSS Statistics course is designed to provide participants with comprehensive knowledge and practical skills in using SPSS Statistics, a powerful software tool for data analysis and statistical modeling. This course covers a wide range of topics, including data entry, manipulation, and management, as well as performing complex statistical analyses such as descriptive statistics, inferential statistics, regression, and ANOVA. Participants will learn to create and interpret data visualizations, generate reports, and make data-driven decisions. Ideal for researchers, data analysts, and business professionals, this course combines theoretical understanding with hands-on practice, ensuring that learners can apply SPSS techniques to real-world data sets and projects to extract meaningful insights and support evidence-based decision-making.
Skills You Will Learn
- Data Management: Efficiently enter, clean, and manipulate data within SPSS.
- Descriptive Statistics: Calculate and interpret measures such as mean, median, mode, standard deviation, and variance.
- Inferential Statistics: Conduct inferential statistical tests including t-tests, chi-square tests, ANOVA, and more.
- Data Visualization: Create and customize charts, graphs, and plots to visually present data insights.
- Syntax Programming: Write and utilize SPSS syntax for automating analyses and tasks.
- Hypothesis Testing: Formulate and test hypotheses using appropriate statistical methods.
- Data Interpretation: Interpret and draw meaningful conclusions from statistical results.
- Survey Data Analysis: Analyze survey data, including scaling and reliability testing.
- Report Generation: Generate and format comprehensive reports that summarize data analyses and findings.
- Practical Application: Apply learned techniques to real-world datasets and scenarios.
- Problem-Solving: Develop problem-solving skills for addressing and overcoming data analysis challenges.
- Best Practices: Learn and implement best practices for statistical analysis and data management within SPSS.
Key Highlights: SPSS Training
- Hands-On Practice: Engage in practical exercises and real-world case studies to apply SPSS skills to actual data.
- Expert Instruction: Benefit from guidance and insights from experienced instructors with deep expertise in statistical analysis and SPSS.
- Flexible Learning: Access self-paced modules and interactive sessions that fit your schedule and learning preferences.
- Certification: Earn a certificate upon course completion to validate your SPSS skills and enhance your professional credentials.
- Real-World Applications: Learn to apply SPSS techniques to a variety of fields, including business, healthcare, social sciences, and more.
- Career Support: Access resources for career advancement, including resume building, interview preparation, and job placement assistance.
Curriculum
Introduction to Data Science and SPSS
Overview of Data Science
Installation and Setup of SPSS
SPSS Interface and Navigation
Importing and Exporting Data
Data Preparation and Cleaning
Descriptive Statistics and Data Exploration
Data Transformation and Manipulation
Hypothesis Testing and Inferential Statistics
Regression Analysis
Advanced Statistical Analysis
Non-Parametric Tests
Data Mining and Machine Learning with SPSS Modeler
Advanced Topics in SPSS
Project Management and Collaboration
Capstone Project
Your Instructors
₹15,000.00
Material Includes
- Videos
- Booklets
- Guide
