Introduction to Advance Analytics using R - Day 1: Introduction & Fundamentals
Welcome to Day 1 of our Advance Analytics Using R Workshop!
In this session, we cover foundational concepts essential for mastering advanced analytics with R.
To register for the complete workshop and gain access to all sessions, visit our registration link: https://forms.gle/eaxNk7GmYsquZYt17
Syllabus:
Introduction to Business Analytics: Case studies, summary statistics, and decision-making.
Statistical Concepts: Descriptive statistics, probability theory, distributions (Normal, Binomial, Poisson), sampling, and estimation.
Predictive Modeling: Bayes’ Theorem, Central Limit Theorem, statistical inference, optimization, and factor analysis.
Data Analytics: Supervised segmentation, visualizing segmentations, decision analytics, and evaluating classifiers.
R Programming: Data handling (import/export, data frames), control structures, functions, and data manipulation.
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For any queries, contact us at 9699050370 or email us at [email protected].