Professional Certificate in Returns: Data and Decisions
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โข Data Collection and Analysis: This unit covers the fundamentals of data collection, cleaning, and analysis. Students will learn how to gather data from various sources and prepare it for analysis. They will also be introduced to basic data analysis techniques using tools such as Excel and Python.
โข Data Visualization: Students will learn how to present data in a clear and engaging way using data visualization tools such as Tableau and PowerBI. This unit covers the principles of effective data visualization and how to choose the right chart or graph for different types of data.
โข Statistical Analysis: In this unit, students will learn the basics of statistical analysis and how to apply statistical techniques to data. Topics covered include probability, hypothesis testing, and regression analysis. Students will also learn how to interpret statistical results and communicate them effectively.
โข Predictive Modeling: This unit covers the fundamentals of predictive modeling, including machine learning algorithms and techniques. Students will learn how to build predictive models using tools such as Python and R. They will also learn how to evaluate and refine their models to improve accuracy.
โข Data-Driven Decision Making: This unit focuses on how to use data to make informed decisions. Students will learn how to identify key business questions, gather relevant data, and analyze it to inform decision making. They will also learn how to communicate their findings to stakeholders and influence decision making.
โข Data Ethics: In this unit, students will learn about the ethical considerations of working with data. Topics covered include data privacy, bias, and security. Students will also learn how to ensure that their data practices are transparent, fair, and responsible.
โข Big Data and Cloud Computing: This unit covers the fundamentals of big data and cloud computing. Students will learn how to work with large datasets using cloud-based tools such as AWS, Azure, and Google Cloud. They will also learn how to use distributed computing techniques to analyze big data.
โข Advanced Data Analysis: In this unit, students will learn advanced data analysis techniques such as natural language processing, time series analysis, and network analysis. They will also
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