Global Certificate Data Science Foundations
-- ViewingNowThe Global Certificate in Data Science Foundations is a comprehensive course designed to equip learners with essential data science skills. This program is critical in today's data-driven world, where businesses rely heavily on data to make informed decisions.
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โข Data Types and Structures: Delving into fundamental data types, including numerical, categorical, and text data, and exploring various data structures such as arrays, matrices, data frames, and lists.
โข Data Wrangling and Cleaning: Mastering techniques to handle missing or inconsistent data, reshaping and aggregating data, and preparing data for analysis using popular data mangling tools and libraries.
โข Data Visualization: Learning best practices for creating effective visualizations and applying them using popular data visualization libraries, with a focus on storytelling through data.
โข Statistical Analysis and Probability: Building foundational knowledge in statistical concepts, probability distributions, and hypothesis testing to guide data-driven decision-making.
โข Machine Learning Fundamentals: Delving into various machine learning techniques, including regression, classification, clustering, and dimensionality reduction, and understanding their applications.
โข Deep Learning Basics: Exploring the principles of neural networks, including feedforward and recurrent networks, and their applications in solving complex problems.
โข Data Ethics and Privacy: Understanding the ethical considerations surrounding data science, including privacy, bias, and fairness, and learning best practices to address them.
โข Data Science Tools and Infrastructure: Familiarizing with popular data science tools and infrastructure, including programming languages, libraries, and cloud platforms.
โข Experimental Design and Data Interpretation: Learning best practices for designing experiments, analyzing results, and interpreting data to inform decision-making.
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