Professional Certificate in Data Science Fundamentals: Analysis Skills
-- ViewingNowThe Professional Certificate in Data Science Fundamentals: Analysis Skills equips learners with essential data analysis skills demanded by today's industry. This course emphasizes the importance of data-driven decision-making, enabling professionals to extract valuable insights from data and communicate them effectively.
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โข Data Collection: Understanding data sources, data types, and data collection methods. Introduction to data quality and data validation techniques.
โข Data Cleaning: Techniques for cleaning and preparing data for analysis. Identifying and handling missing data, outliers, and inconsistencies.
โข Data Analysis with Python: Introduction to Python programming for data analysis. Learning key libraries such as NumPy, Pandas, and Matplotlib.
โข Data Analysis with R: Introduction to R programming for data analysis. Learning key packages such as dplyr, ggplot2, and tidyr.
โข Statistical Analysis: Understanding key statistical concepts such as hypothesis testing, regression analysis, and probability distributions.
โข Data Visualization: Techniques for creating effective and informative data visualizations. Learning best practices for chart selection, color choice, and data encoding.
โข Data Storytelling: Communicating insights from data to stakeholders. Learning how to craft compelling narratives, create effective presentations, and communicate insights to non-technical audiences.
โข Machine Learning Fundamentals: Introduction to machine learning concepts such as supervised and unsupervised learning, model evaluation, and model selection.
โข Ethics in Data Science: Understanding ethical considerations in data science such as data privacy, data security, and algorithmic bias.
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