Overview
Welcome to the “2021 Data Science & Machine Learning with R from A-Z” course, a comprehensive and up-to-date program designed to provide participants with a thorough understanding of data science and machine learning concepts using the R programming language. In today’s data-driven world, the demand for skilled professionals who can analyze complex data sets and derive actionable insights continues to grow. This course aims to equip learners with the knowledge and practical skills needed to excel in this rapidly evolving field.
Throughout this course, participants will embark on a journey from the foundational principles of data science to advanced machine learning techniques, covering everything from data manipulation and visualization to statistical analysis and predictive modeling. Using R, a powerful and versatile programming language for data analysis, participants will learn how to manipulate data frames, perform statistical tests, create visualizations, and implement machine learning algorithms.
The curriculum is structured to provide a balance between theoretical concepts and hands-on practice. Participants will have the opportunity to apply their knowledge through real-world projects and exercises, gaining practical experience that will prepare them for success in data science roles.
By the end of the course, participants will emerge with a solid understanding of key data science and machine learning concepts, proficiency in using R for data analysis, and the ability to apply machine learning algorithms to solve real-world problems. Whether you’re a beginner looking to enter the field of data science or an experienced professional seeking to enhance your skill set, this course provides a comprehensive learning experience to help you achieve your goals.
Learning Outcomes
- Master R programming language for data analysis.
- Explore data visualization techniques.
- Understand statistical analysis concepts.
- Implement machine learning algorithms.
- Build predictive models and evaluate their performance.
- Learn best practices for data preprocessing and feature engineering.
- Apply data science concepts to real-world projects.
What Will Make You Stand Out?
On Completion of this 2021 Data Science & Machine Learning with R from A-Z online course, you’ll acquire:
- CPD QS Accredited Course.
- Upon Course Completion, Earn a Complimentary PDF and a hard copy Certificate to Showcase Your Enhanced Skills.
- Lifetime access.
- 24x7 Tutor Support.
- Complete the course at your own pace.
Description
The 2021 Data Science & Machine Learning with R from A-Z course is designed to provide participants with a comprehensive understanding of data science concepts and practical skills using the R programming language. Through a combination of theoretical learning and hands-on projects, participants will learn how to manipulate and analyze data, visualize insights, and build predictive models using machine learning algorithms. This course offers a structured learning path from beginner to advanced levels, catering to individuals seeking to enter the field of data science or enhance their existing skills.
Who is this course for?
This course is suitable for beginners as well as experienced professionals looking to advance their careers in data science. It’s ideal for data analysts, statisticians, programmers, business analysts, and anyone interested in harnessing the power of data for insights and decision-making.
Requirements
Participants should have basic programming knowledge and familiarity with statistics. Access to a computer with R and RStudio installed is required for hands-on exercises and projects.
Certification
Upon successful completion of the 2021 Data Science & Machine Learning with R from A-Z course, learners can obtain both a PDF certificate and a Hard copy certificate for completely FREE. The Hard copy certificate is available for a nominal fee of £3.99, which covers the delivery charge within the United Kingdom. Additional delivery charges may apply for orders outside the United Kingdom.
Career Path
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- Data Engineer
- Statistician
- Research Scientist
- AI/Machine Learning Researcher
- Consultant in Data Science or Machine Learning