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Part 10. Intro to Statistical Analysis

Morpho Prof 29 lượt xem 1 month ago
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🔹 Introduction to Data Science & R – Understand the fundamentals of data science and set up R and RStudio.
🔹 Data Import & Manipulation – Learn to work with datasets from CSV, Excel, SQL, and statistical software like SPSS and STATA.
🔹 Exploratory Data Analysis (EDA) – Discover how to summarize, clean, and visualize data using ggplot2 and other R packages.
🔹 Statistical Analysis in R – Master hypothesis testing, regression, and parametric/non-parametric tests for data-driven insights.
🔹 Machine Learning with R – Explore supervised and unsupervised learning, covering Linear & Logistic Regression, Decision Trees, SVMs, Neural Networks, PCA, Clustering, and more!
🔹 Model Evaluation & Real-World Projects – Learn key metrics like accuracy, precision, recall, and F1-score, and apply them to real-world datasets.

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📌 Data Handling & Analysis:
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📌 Statistics & Hypothesis Testing:
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