What You'll Learn
- IBM SPSS Statistics
- Introduction to IBM SPSS
- Data Import
- Descriptive Statistics
- Graphs, Charts
- Data Transformation
- Correlations
- TTest / ANOVA
- Multivariate Analysis
Requirements
- For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.
Who This Course is For
- No special requirements. A course for anyone who wants to build career in Data Analysis
- The IBM® SPSS® Statistics software puts the power of advanced statistical analysis at your fingertips. Whether you are a beginner, an experienced analyst, a statistician or a business professional it offers a comprehensive suite of advanced capabilities, flexibility and usability that are not available in traditional statistical software. With the user-friendly and intuitive interface of SPSS Statistics, you can easily manage and analyze large datasets, gaining actionable insights for fact-base decisions. Its advanced statistical procedures and modeling techniques enable you to optimize organizational strategies, including predicting customer behaviors, forecasting market trends, detecting fraud to minimize business risk and conducting reliable research to drive accurate conclusions.
- Why learn IBM SPSS: - Intuitive interface: Prepare and analyze data through an intuitive user interface with drag-and-drop functionality, eliminating the need for writing codes. - Simplified data management: Efficiently integrate data management with statistical analysis, by easily importing, cleaning, and manipulating data within your analytical environment. - Comprehensive analysis: Conduct descriptive statistics and regression analyses, visualize patterns of missing data, and summarize variable distributions—all within one-stop solution. - Advanced predictive analytics: Use the predictive modeling capabilities to accurately forecast trends and outcomes, enhancing your business planning and research. - Customizable output: Tailor analysis outputs and reports to your specific needs with customizable charts, graphs, and tables, optimizing your presentations and insights. - Open-source integration: Extend SPSS syntax with R and Python through pre-built extensions or custom scripts for personalized data analysis and visualization.
Your Instructor
MTF Institute of Management, Technology and Finance
Institute of Management, Technology and Finance
4.4 Instructor Rating
101,513 Reviews
969,455 Students
274 Courses
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