Professional Certificate in Data Analysis: Decision-Making Tools

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The Professional Certificate in Data Analysis: Decision-Making Tools is a comprehensive course that empowers learners with the essential skills required to excel in data analysis and decision-making. In today's data-driven world, there is an increasing demand for professionals who can analyze complex data sets and use that information to make informed decisions.

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This course focuses on teaching learners how to use various tools and techniques, such as Excel, SQL, and data visualization tools, to analyze data and extract valuable insights. By completing this course, learners will not only have a deep understanding of data analysis but also the ability to communicate their findings effectively to stakeholders. With a certificate in data analysis, learners can advance their careers in various industries, including finance, marketing, healthcare, and technology. This course is an excellent opportunity for those looking to gain a competitive edge in the job market and take on leadership roles in data analysis and decision-making.

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โ€ข Data Analysis Fundamentals: Introduction to data analysis, data types, and data sources.
โ€ข Statistical Analysis: Descriptive and inferential statistics, probability distributions, and statistical tests.
โ€ข Data Visualization: Charting, data storytelling, and visualization tools like Tableau, PowerBI, and ggplot.
โ€ข Decision-Making Tools: Decision trees, simulation models, and optimization algorithms.
โ€ข Predictive Modeling: Regression analysis, time series analysis, and machine learning techniques.
โ€ข Big Data Analytics: Hadoop, Spark, and NoSQL databases.
โ€ข Data Ethics: Data privacy, security, and ethical considerations in data analysis.
โ€ข Data-Driven Decision Making: Applying data analysis to business strategy and decision-making processes.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN DATA ANALYSIS: DECISION-MAKING TOOLS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
UK School of Management (UKSM)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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