If you have been considering immersing yourself in R programming for Data Science & Machine Learning, now is the time to start. Data science and machine learning jobs are increasingly in demand as the big data and technology industries expand. You might be curious about what this field entails.

Data science combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Conversely, machine learning automates the analysis of large datasets, enabling real-time predictions without human intervention. You can also build and train data models to make accurate predictions.

With a background in machine learning, you can pursue high-paying roles such as Machine Learning Engineer, Data Scientist, R Developer, Human-Centered Machine Learning Designer, Data Analyst, and other positions.

Expectations and Goals

• Proficiency Development: This course will prepare you to become a proficient Data Scientist and Machine Learning Engineer while also making you a capable R programmer.
• Solid Foundation: By the end of this course, you will have a solid understanding of R programming, data visualization using R, and concepts used for Data Science & Machine Learning algorithms on real projects.
• Machine Learning Algorithms: You will gain a complete understanding of two different types of machine learning algorithms with practical demonstrations.
• Data Manipulation Skills: Learn to manipulate large datasets effectively using GGplot2.
• Hands-On Experience: Get practical exposure to various projects to enhance your hands-on expertise.

Who This Course is for?

• Undergraduates or Job Seekers: Ideal for anyone looking to begin their career in R programming, Data Science, Business Analysis, and Machine Learning.
• Working Professionals: Suitable for individuals with experience in non-IT fields who want to transition into IT
• Fresh Graduates or Postgraduates: Designed for those aiming to secure a career in the IT domain.