Certificate in Data Science Fundamentals: Key Concepts
-- ViewingNowThe Certificate in Data Science Fundamentals: Key Concepts is a comprehensive course designed to provide learners with essential data science skills. In today's data-driven world, the demand for data science professionals is at an all-time high, making this course increasingly important.
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โข Introduction to Data Science: Defining data science, understanding its importance, and exploring common tools and techniques.
โข Data Collection and Preparation: Identifying data sources, collecting data, and data cleaning techniques.
โข Data Exploration and Visualization: Descriptive statistics, data visualization techniques, and tools.
โข Statistical Analysis: Understanding key concepts, distributions, and statistical tests.
โข Machine Learning Fundamentals: Types of machine learning, supervised and unsupervised learning, and model evaluation.
โข Predictive Modeling: Linear regression, logistic regression, and decision trees.
โข Natural Language Processing (NLP): Text mining, sentiment analysis, and NLP techniques.
โข Big Data and Data Engineering: Understanding big data, data engineering, and data warehousing.
โข Data Ethics: Exploring data privacy, bias, and ethical considerations in data science.
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