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Coursera

R Ultimate 2023 - R for Data Science and Machine Learning

Packt via Coursera Specialization

Overview

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R is a programming language and environment designed for statistical computing, data analysis, and graphical representation, widely used by statisticians, data scientists, researchers, and analysts. This course guides learners through R programming, from foundational concepts to advanced techniques. It covers R fundamentals, data types, variables, structures, custom functions, control structures, and data manipulation. Learners will master data visualization with leading packages, statistical analysis, hypothesis testing, and regression modeling. The course also includes advanced data manipulation, outlier handling, missing data strategies, and text manipulation using regular expressions. Additionally, it covers machine learning with regression, classification, and clustering algorithms, as well as deep learning, neural networks, image classification, and semantic segmentation. The course concludes with the creation of dynamic web apps using Shiny. Designed for aspiring and established data scientists, analysts, programmers, researchers, and professionals, it accommodates various experience levels. Prerequisites include prior programming experience, but the course can accommodate learners with varying levels of data science and R programming familiarity.

Syllabus

Course 1: Foundations of R Programming and Basic Data Manipulation
- Offered by Packt. Embark on a transformative journey into R programming and data manipulation with this comprehensive course. It starts with ... Enroll for free.

Course 2: Intermediate Data Manipulation and Machine Learning
- Offered by Packt. In this comprehensive course, you will explore artificial intelligence (AI) and its core concepts, forming a solid ... Enroll for free.

Course 3: Advanced Machine Learning and Deep Learning
- Offered by Packt. This advanced machine learning and deep learning course provides a robust foundation in these transformative technologies. ... Enroll for free.

Taught by

Packt

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