Professional Certificate in SPSS for Competitive Analysis

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The Professional Certificate in SPSS for Competitive Analysis is a comprehensive course designed to equip learners with essential skills in data analysis using SPSS software. This program is crucial in today's data-driven world, where businesses rely heavily on data for decision-making.

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AboutThisCourse

By enrolling in this course, learners will gain an in-depth understanding of SPSS, a powerful tool used for statistical analysis. They will learn how to analyze and interpret complex data sets, conduct market research, and perform competitive analysis, thereby enhancing their analytical skills and strategic thinking. With the increasing demand for data analysis skills across industries, this course offers learners a competitive edge in the job market. It equips them with the necessary skills to advance their careers in fields such as marketing, market research, business intelligence, and data science, among others. Invest in this course today and unlock your potential to drive business success through data-driven decision-making.

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โ€ข Introduction to SPSS: Understanding the Software
โ€ข Setting Up and Navigating the SPSS Environment
โ€ข Data Import and Cleaning for Competitive Analysis
โ€ข Fundamentals of Descriptive and Inferential Statistics
โ€ข Creating and Interpreting Frequency Tables and Cross-Tabulations
โ€ข Exploratory Data Analysis: Visualizing Data with SPSS
โ€ข Introduction to Hypothesis Testing and Chi-Square Test
โ€ข Regression Analysis in SPSS for Competitive Insights
โ€ข Factor Analysis and Segmentation for Market Research
โ€ข Data Preparation and Model Validation Techniques

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
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PROFESSIONAL CERTIFICATE IN SPSS FOR COMPETITIVE ANALYSIS
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London School of International Business (LSIB)
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05 May 2025
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