Executive Development Programme in Housing Data Interpretation

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The Executive Development Programme in Housing Data Interpretation is a certificate course designed to empower professionals with the skills to interpret and analyze housing data effectively. In today's data-driven world, there is a high demand for professionals who can use data to make informed decisions in the housing industry.

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This course is essential for anyone looking to advance their career in housing, real estate, or urban development. Through this programme, learners will gain a solid understanding of data interpretation techniques, statistical analysis, and data visualization. They will also learn how to use various data analysis tools and software. Upon completion, learners will be equipped with the skills to analyze and interpret housing data, enabling them to make strategic decisions and drive growth in their organizations.

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โ€ข Data Analysis Basics: Understanding data types, data collection, data cleaning, and data preparation.
โ€ข Descriptive Statistics: Measures of central tendency, measures of dispersion, and measures of shape.
โ€ข Inferential Statistics: Hypothesis testing, confidence intervals, and statistical significance.
โ€ข Data Visualization: Charting, graphing, and data storytelling for housing data.
โ€ข Regression Analysis: Simple and multiple linear regression, interpretation of results, and predictive modeling.
โ€ข Time Series Analysis: Trends, seasonality, and forecasting for housing market analysis.
โ€ข Spatial Analysis: Geographic Information Systems (GIS), spatial autocorrelation, and spatial regression.
โ€ข Machine Learning: Supervised and unsupervised learning, model selection, and performance evaluation.
โ€ข Big Data and Cloud Computing: Handling large datasets, cloud-based data solutions, and data security.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN HOUSING DATA INTERPRETATION
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London College of Foreign Trade (LCFT)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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