Course Introduction:

Data Manipulation with SPSS and Visualization with Power BI Course is a comprehensive program designed to equip participants with the essential skills for manipulating data using SPSS and creating impactful visualizations with Power BI. In today's data-driven business landscape, the ability to effectively manipulate and visualize data is crucial for deriving actionable insights and driving informed decision-making. This course offers a hands-on learning experience, covering techniques for data manipulation, advanced statistical analysis using SPSS, and the creation of interactive dashboards and reports with Power BI. By mastering these tools and techniques, participants will be better equipped to extract valuable insights from their data and communicate findings effectively.

Course Objectives:

1. Master the fundamentals of data manipulation using SPSS, including data cleaning, transformation, and aggregation.
2. Develop proficiency in conducting advanced statistical analysis using SPSS to uncover patterns, relationships, and trends in data.
3. Acquire skills in creating interactive and visually appealing dashboards, reports, and visualizations using Power BI.
4. Understand best practices for data visualization and storytelling to effectively communicate insights derived from data.
5. Learn how to integrate SPSS and Power BI workflows to streamline the data analysis process and generate actionable insights efficiently.

Organization Benefits:

1. Improved decision-making: Equipping employees with skills in data manipulation and visualization enables organizations to make informed decisions based on accurate insights derived from their data.
2. Enhanced efficiency: Streamlining data manipulation and analysis processes using SPSS and Power BI saves time and resources, allowing organizations to focus on extracting actionable insights and driving business outcomes.
3. Better understanding of data: Through advanced statistical analysis in SPSS and interactive visualization in Power BI, organizations gain a deeper understanding of their data, enabling them to identify patterns, trends, and outliers more effectively.
4. Increased productivity: Empowering employees with skills in SPSS and Power BI enhances their productivity by enabling them to manipulate, analyze, and visualize data more efficiently, reducing the time spent on manual data tasks.
5. Competitive advantage: Organizations with advanced data manipulation and visualization capabilities gain a competitive edge by leveraging data to uncover insights, identify opportunities, and address challenges more effectively than competitors.

Target Participants:

This course is suitable for data analysts, business analysts, researchers, and professionals who work with data and want to enhance their skills in data manipulation and visualization. Participants should have a basic understanding of statistics and data analysis concepts.

Course Outline:

Module 1: Introduction to SPSS

• Overview of SPSS and its interface
• Importing data into SPSS
• Data manipulation techniques in SPSS

Module 2: Data Cleaning and Preparation

• Identifying and handling missing data
• Data transformation and recoding
• Merging and aggregating datasets in SPSS

Module 3: Descriptive Statistics

• Generating descriptive statistics in SPSS
• Frequency distributions and measures of central tendency
• Data visualization techniques in SPSS

Module 4: Inferential Statistics

• Hypothesis testing in SPSS
• Parametric and non-parametric tests
• Interpreting and presenting statistical results

Module 5: Advanced Statistical Analysis

• Regression analysis in SPSS
• Analysis of variance (ANOVA) and covariance (ANCOVA)
• Factor analysis and cluster analysis in SPSS

Module 6: Introduction to Power BI

• Overview of Power BI and its features
• Connecting to data sources in Power BI
• Importing and transforming data in Power BI

Module 7: Data Visualization Basics

• Basics of data visualization principles
• Creating basic visualizations in Power BI
• Formatting and customizing visualizations

Module 8: Advanced Data Visualization

• Interactive dashboards and reports in Power BI
• Using custom visuals and themes
• Creating calculated fields and measures in Power BI

Module 9: Data Storytelling

• Communicating insights through data storytelling
• Designing effective dashboards and reports
• Best practices for data presentation

Module 10: Integrating SPSS and Power BI

• Exporting data from SPSS to Power BI
• Using SPSS output in Power BI reports
• Streamlining data analysis workflows between SPSS and Power BI