Global Certificate in Data Science Fundamentals: Predictive Analysis
-- ViewingNowThe Global Certificate in Data Science Fundamentals: Predictive Analysis is a comprehensive course designed to equip learners with essential data science skills. This program focuses on predictive analysis, a critical aspect of data science that uses statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.
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โข Introduction to Data Science: Defining data science, understanding its role, and identifying the key steps in the data science process.
โข Data Wrangling and Preprocessing: Collecting, cleaning, and transforming raw data into a usable format.
โข Exploratory Data Analysis: Understanding data through visualization, summary statistics, and distribution analysis.
โข Statistical Foundations for Predictive Analysis: Probability distributions, statistical inference, and hypothesis testing.
โข Regression Analysis: Simple and multiple linear regression, polynomial regression, and regularization techniques.
โข Classification Techniques: Logistic regression, decision trees, and ensemble methods.
โข Time Series Analysis: Autoregressive, moving average, and ARIMA models.
โข Model Evaluation and Selection: Performance metrics, cross-validation, and model selection techniques.
โข Ethics and Bias in Data Science: Understanding the ethical implications of data science and strategies for mitigating bias.
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