Intro and Section Overview

Enroll

2021 Data Science & Machine Learning with R from A-Z Course

Explore Data Science & Machine Learning Fundamentals with R: From Basics to Advanced Techniques

Embark on a comprehensive journey into the world of data science and machine learning with this expertly crafted course, designed to guide you from the fundamentals to advanced concepts using the powerful R programming language. This engaging course is meticulously structured to provide you with a deep understanding of data manipulation, starting with essential techniques in R. You will explore the intricacies of data structures and types, uncovering the elegance of vectors, matrices, and data frames, which are pivotal in managing and analyzing data efficiently.

As you progress, you will discover the art of creating dynamic web applications with R Shiny, offering a glimpse into the potential of interactive and visually appealing data presentations. The ability to create detailed reports with R Markdown further enhances your capability to communicate data-driven insights effectively. Delving into data visualization, you will learn to transform complex data sets into meaningful and aesthetically pleasing graphical representations, a crucial skill in making data accessible and impactful.

The course transitions seamlessly into the realm of machine learning, offering a solid introduction to fundamental concepts. You will gain insights into data preprocessing techniques, a critical step in preparing data for analysis. The exploration of linear and logistic regression models will deepen your understanding of how these core algorithms can be applied to real-world data challenges. The focus on exploratory data analysis ensures that you develop the ability to uncover patterns and insights, a foundational skill in any data science role.

As you advance, the course introduces intermediate R programming, equipping you with the skills necessary to tackle more complex data challenges. You will explore the versatility of R through topics such as functional programming, working with databases, and mastering the Tidyverse, a powerful suite of R packages designed for data science. String manipulation, web scraping, and JSON parsing are among the advanced topics covered, broadening your toolkit for handling diverse data sources and formats.

The course also offers valuable career insights, guiding you on how to navigate the data science job market effectively. From crafting a compelling data science resume to understanding the nuances of networking and personal branding, you will be equipped with the knowledge to embark on a successful career path. The exploration of job roles and opportunities within the data science and machine learning landscape provides a clear perspective on the potential avenues for your professional growth.

Throughout this course, you will be supported by additional resources and expert guidance, ensuring you have the tools and knowledge necessary to succeed. Whether you are a beginner eager to dive into the world of data science or an experienced professional looking to enhance your skills, this course offers a rich and rewarding learning experience. Join us on this transformative journey and unlock the potential of data science and machine learning with R, setting the stage for your future success in this dynamic field.

Data Science and Machine Learning Course Intro +
Getting Started with R +
Data Types and Structures in R +
Intermediate R +
Data Manipulation in R +
Data Visualization in R +
Creating Reports with R Markdown +
Building Webapps with R Shiny +
Introduction to Machine Learning +
Data Preprocessing +
Linear Regression: A Simple Model +
Exploratory Data Analysis +
Linear Regression: A Real Model +
Starting a Career in Python +
Logistic Regression +
The Reviews Panel is being Updated.

About the Instructor

Instructor Profile Picture

Juan Galvan