Learn Data Science and Machine Learning with R from A-Z
Course Overview:
“Learn Data Science and Machine Learning with R from A-Z” on Course Plus offers a comprehensive guide for mastering data science and machine learning. Covering foundational topics like R basics, data manipulation, visualization, and advanced machine learning techniques, this course ensures you gain both theoretical and practical expertise. With hands-on projects, R Shiny apps, and career guidance, you’ll be fully equipped to excel in the data science field.
Why Enroll in this Course?
Open the power of data science with “Learn Data Science and Machine Learning with R from A-Z” on Course Plus. This course simplifies R programming, empowering beginners to work with data manipulation, visualization, and machine learning. Designed to boost your career prospects, it includes hands-on tutorials, real-world applications, and insights into freelancing opportunities. Whether you’re an aspiring data scientist or a professional enhancing your skills, this course aligns with market needs. Plus, our focus on practical learning ensures you’ll develop job-ready skills. Don’t miss the chance to transform your career with data science.
Investment Value:
- Lifetime access to all course materials and updates.
- Comprehensive curriculum from beginner to advanced levels.
- Learn practical, job-ready skills in R programming and machine learning.
- Build a professional portfolio with hands-on projects.
- Career guidance, including freelancing tips and networking strategies.
Technical Specifications:
- Compatible with Windows, Mac, and Linux systems.
- Internet access required for course materials and updates.
- R and R Studio installation guides included.
- Accessible on mobile and desktop devices.
Learning Outcome
- Understand the fundamentals of R programming.
- Perform data manipulation using Tidyverse.
- Create data visualizations with ggplot2.
- Build interactive web apps using R Shiny.
- Conduct exploratory data analysis.
- Develop machine learning models in R.
- Preprocess data for machine learning applications.
- Master string manipulation and web scraping.
- Design a data science career path, including freelancing.
- Build a professional portfolio with hands-on projects.
Conclusion
Master data science and machine learning with R in this all-inclusive Course Plus offering. Gain hands-on experience, explore real-world applications, and unlock career opportunities in the growing data science field. Join us today and take the first step toward becoming a data science expert!
Next Steps:
- Register on Course Plus platform
- Access course materials
- Join community discussions
- Earn certification
Course Curriculum
Data Science and Machine Learning Course Intro
-
Data Science and Machine Learning Intro Section Overview
03:00 -
What is Data Science?
10:00 -
Machine Learning Overview
06:00 -
Who is This Course For?
03:00 -
Data Science + Machine Learning Marketplace
05:00 -
Data Science and Machine Learning Job Opportunities
03:00 -
Data Science Job Roles
05:00
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
Creating Reports with R Markdown
Building Webapps with R Shiny
Introduction to Machine Learning
Introduction to Machine Learning
Data Preprocessing
Linear Regression: A Simple Model
Exploratory Data Analysis
Linear Regression – A Real Model
Logistic Regression
Starting A Career in Data Science
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