data Science with R

1. Data Science with R Remember how you learned to ride a bicycle? Now learn how to teach that process to a machine. Also, get a high paying job. Course Overview Find hidden patterns in data using statistical models in R. Great for students of economics, finance, biology, and humanities. An excellent gateway for Machine Learning with Python. Designed to help you build a solid foundation in the lucrative field of Data Science. Uncover hidden trends and behavior patterns in data using R. Learn methods, algorithms and processes to extract knowledge and insights from structured and unstructured data. 2 projects with code where you can apply the knowledge you have learnt. No prior knowledge of coding needed What students will learn in this course? Students will learn the core concepts of Data Science and gain an in-depth understanding of the field by working on the projects. The concepts covered are: R Basics and Logic Data Types & Data Structures Tools & Utilities Data Science & Data Analysis What are the future prospects? Data Science is a very upcoming and lucrative field and brings with it a large number of career options and possibilities. There is a chance for very high paying jobs in this field. Some of the career options available are: Data Scientist Data Analyst Data Engineer Other Opportunities How Coding Elements is different: The course is built by experienced professionals who have created this course to give you a complete learning experience in Data Science. You can ask your queries to dedicated Teaching Assistants who will help solve them. You can avail a verified certificate after successfully clearing the course which you can showcase on your resume. As part of the course, you will get a chance to work on projects which will help you gain confidence in the field and will also help you during your interviews. You can learn whenever you get time since the courses are very flexible. This helps you take up this course along with your college education.