Graduate Certificate in Excel for ML Developers
-- ViewingNowThe Graduate Certificate in Excel for ML Developers is a vital course designed to equip learners with essential skills in Excel, a widely-used tool in the tech industry. This certificate course is significant due to the increasing demand for professionals who can leverage Excel's data analysis capabilities to drive decision-making in machine learning (ML) projects.
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⢠Excel Basics for ML Developers : Introduction to Excel, navigating the interface, understanding data types, and basic formulas.
⢠Data Wrangling with Excel : Cleaning, transforming, and manipulating data using Excel functions, formulas, and features.
⢠Data Visualization in Excel : Creating charts, graphs, and dashboards to represent data visually.
⢠Excel for Machine Learning : Overview of machine learning and its applications in Excel, including data preparation, feature engineering, and model training.
⢠Statistical Analysis with Excel : Understanding and applying statistical concepts in Excel, such as probability distributions, regression analysis, and hypothesis testing.
⢠Data Analysis Tools in Excel : Using Excel's built-in data analysis tools, such as data tables, scenario manager, and solver.
⢠Excel for Data Science : Exploring the intersection of Excel and data science, including data exploration, preprocessing, and modeling.
⢠Excel Add-ins for ML Developers : Introduction to popular Excel add-ins, such as Power Query, Power Pivot, and Power BI, for enhancing data analysis and visualization capabilities.
⢠Best Practices for Excel in ML Workflows : Guidelines for integrating Excel into machine learning workflows, including version control, collaboration, and reproducibility.
Note: The above list assumes that the Graduate Certificate in Excel for ML Developers covers both beginner and advanced topics. Feel free to adjust the list based on the specific needs and prerequis
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