Global Certificate in Data Analysis for Decision Making

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The Global Certificate in Data Analysis for Decision Making is a comprehensive course designed to equip learners with essential data analysis skills for informed decision-making in today's data-driven world. This certification emphasizes hands-on experience with popular data analysis tools, including Excel, SQL, and Tableau.

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Data analysis skills are in high demand across industries, with job openings increasing by 344% since 2013. This course empowers learners to meet this growing industry need, preparing them for roles such as data analyst, business analyst, and decision scientist. Throughout the course, learners will develop a strong foundation in data manipulation, visualization, and statistical analysis, enabling them to interpret complex datasets and communicate data-driven insights effectively. By earning this globally recognized certification, learners demonstrate their commitment to honing their analytical skills, enhancing their professional development, and driving data-informed success in their organizations.

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โ€ข Data Analysis Fundamentals: Understanding data, data types, data sources, data collection, data cleaning, and data preprocessing.
โ€ข Statistical Analysis: Descriptive statistics, inferential statistics, probability distributions, statistical inference, confidence intervals, and hypothesis testing.
โ€ข Data Visualization: Data storytelling, data visualization principles, chart selection, data-ink ratio, color theory, interactivity, and visualization tools.
โ€ข Predictive Modeling: Regression analysis, time series analysis, forecasting, machine learning, supervised and unsupervised learning, model validation, and model selection.
โ€ข Big Data Analytics: Big data fundamentals, distributed computing, Hadoop, Spark, NoSQL databases, and big data analytics tools.
โ€ข Data-Driven Decision Making: Data-driven culture, decision-making frameworks, decision analysis, risk analysis, and trade-off analysis.
โ€ข Data Ethics and Privacy: Data privacy principles, data protection laws, ethical considerations, and responsible data use.
โ€ข Data Communication and Presentation: Communicating data insights, data storytelling, data presentation tools, and effective communication strategies.
โ€ข Emerging Trends in Data Analysis: Artificial intelligence, natural language processing, deep learning, and data analysis trends.

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ๆˆๅŠŸๅฎŒๆˆ่ฏพ็จ‹ๅŽ๏ผŒๆ‚จๅฐ†่Žทๅพ—็ป“ไธš่ฏไนฆใ€‚

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GLOBAL CERTIFICATE IN DATA ANALYSIS FOR DECISION MAKING
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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