Course offered by Rudra Education

Program Overview

The Online Diploma in Machine Learning with Python and R is a focused one-year programme crafted for graduates, data enthusiasts, and professionals aiming to master machine learning concepts using two of the most widely used programming languages in data science. Fully delivered online, this diploma blends foundational theory with applied coding experience to help learners build predictive models and intelligent data-driven applications.

The curriculum covers fundamental areas of supervised and unsupervised learning, regression analysis, classification techniques, clustering, model selection, and real-world data examination. Students use Python and R extensively to create real-world machine learning solutions for both business and research environments.

No matter if you are entering a data science profession, enhancing your analytical skill set, or getting ready for higher learning in AI, data science, or statistics, this diploma sets you up with the tools, languages, and expertise to succeed in today's data-driven age.

Key Programme Features

Online one-year diploma in practical machine learning with Python and R.

Key subjects are:

• Foundations of Machine Learning
• Data Analysis and Visualization using Python and R
• Supervised Learning (Regression, Classification)
• Unsupervised Learning (Clustering, Dimensionality Reduction)
• Model Selection, Evaluation, and Tuning
• Feature Engineering and Data Preprocessing
• Applied Machine Learning Projects using Real-World Datasets
• 100% online delivery with flexible study plans well-suited for professionals and remote learners.
• Project-based learning model with lab assignments, coding challenges, and real dataset applications.
• Features video tutorials, guided exercises, coding labs, and mentorship by industry experts.
• Recommended for candidates with a background in Computer Science, Mathematics, Statistics, Engineering, or related fields.

Program Highlights

Taught over two semesters with equal theory and intense coding practice.

Develops essential skills in:

• Applying ML models in Python and R
• Interpreting algorithm behavior and performance measures
• Solving real-world business and scientific issues based on data
• Preprocessing, modeling, and visualizing large data sets
• Develops learners for careers like:
• Data Analyst
• Machine Learning Engineer
• Predictive Modeler
• Business Intelligence Analyst
• Data Science Associate
• Serves as a stepping stone towards data science certifications or advanced studies like M.Sc. in AI/ML, PG diplomas, or professional paths like TensorFlow Developer, Microsoft ML, etc.

 

Eligibility Criteria

• The candidates must fulfill the following eligibility criteria in order to be admitted:
• Possess a Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or closely related subjects from a recognized university.
• Scored a minimum of 50% aggregate marks at the UG level.
• Final year students are free to apply provisionally, according to institutional conventions.