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R and Python for Artificial Intelligence and Machine Learning

Work on projects to practice R, Python programming, Data Visualization, and data wrangling.

Build and assess data-based models and demonstrate skill in Data Management

Real Time Case Studies – IPL Data Analysis, Financial Fraud Data Analysis, Social Media Trend Analysis & more

IIHT’s highly specialized Programming course within the Artificial Intelligence/Machine Learning Stack is designed to train course participants with a thorough understanding and use of the Python path or the R path towards machine learning. The course trains students in the most popular data analysis programming languages with intensive, hands-on training in Object Oriented Programming, Data Wrangling, Data Visualization, Data Manipulation, Data Handling, and Expression Handling. The course starts with fundamentals of programming like syntax for both R and Python, making it the perfect course for beginners in a computing environment that fosters reproducibility.


Python: Python is a general-purpose object-oriented programming language that is widely used in Machine Learning. It can be used for data engineering, data munging, web scrapping, web crawling and many more such uses. Python is used to write large, sustainable code. Python uses collaborative tools like Numpy and Pandas in order to perform specific functions beyond what the libraries can offer.

R: R is a programming language as well as an environment for graphics and statistical computing. It started off as a GNU project that is similar to the S language and environment. R provides a large variety of statistical techniques like linear and non-linear modeling, time-series analysis, classical statistical tests, clustering and classification. It is highly extensible and also includes graphical techniques.

Why should you upskill to R, Python?

R, the popular statistical programming software has been a favourite of many in academia and since the rise of data science, being open source and availability of libraries, a lot of the IT industry has started using it extensively. R has a huge community for constantly learning and data exploration. The visualization capabilities are extensive. It has an integrated suite of software facilities for data calculation, manipulation and graphical display that is a must-know to work on Machine Learning.
Python has shot to the most wanted programming language in the year 2017! It is a frequently sought out skill in the IT industry as it is viewed as a standard with a huge user base and community. This has led to experimenting which increased the number of libraries exponentially over the years with integrated extensions that are useful Machine Learning. Because so many people view as Python as a standard, the support community is large, which builds Python’s popularity even more. Python is more intuitive than other programming languages and this is what makes it perfect for Machine Learning.

Why are R and Pythom Booming?

  • Businesses are quickly moving towards R
  • R created impulsive visualization
  • R helps build high impact models.
  • R and Python are free software and there is a decreasing reliance of IT industries on paid software
  • Python’s syntax is simple and readable making it appealing for just about any applied use, especially machine learning.
  • Python has tools that are extremely useful for working with machine learning systems.
  • Reports state a steep rise in the demand for both R and Python. Specially since the dawn of Artificial Intelligence and AI/ML that are technologies of today and very much of tomorrow, making R and Python skilled programmers’ future proof.
  • R is used more when one needs to use visualization libraries and interactive styles and Python is preferred when one needs high performance and structured code. When you learn both, you can use them interchangeable as and when the need arises for optimal performance.
  • It is recommended to learn both when one wants to get started with Data Science work as each have their own strengths.

Why learning Programming for Machine learning and Artificial Intelligence at IIHT?

  • Students will get to work on real-world projects to practice R, Python programming, Data Visualization, and data wrangling.
  • Students will develop the ability to build and assess data-based models and demonstrate skill in Data Management.
  • The course starts off with basics, leading up to practice of higher features and use of libraries required for Machine Learning.
  • Industry experts for mentors
  • Real Time Case Studies – IPL Data Analysis, Financial Fraud Data Analysis, Social Media Trend Analysis, Computer Vision based Systems etc.
  • Continuous Assessment, Practice Exercises and modified Learning model for learner’s engagement.
  • Collaborative Projects and publishing projects on community websites to give them community recognition.
  • Cloud Lab access – anytime, anywhere
  • LIVE Project Mentoring
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What do you get from IIHT’s blended learning module?

The unique one-of-its kind blended learning module has the following features:

  • Personalized learner homepage: There is a provision for students to use personalized dashboards that students can customize, view the status of the course material. Students can also compare their performances with their classmates’.
  • Catalog for recommended courses: View course catalog and sort levels.
  • Powerful search: Global search the entire Learning Management System of IIHT whenever you need.
  • Course Details: Learners get to view the details of the course like deadlines and upcoming project.
  • Prework: PDFs and documents to help you prepare for upcoming courses.
  • Core Content: Virtual classrooms, activities and assessments
  • Cloud Labs: Easy access to labs anytime, integrated within the Learning Management System.
  • Download Reference Materials: Learners can download reference materials from resources section any time
  • Fluidic Player: Learn at your own pace.
  • Allows students to take notes for revision
  • Gamification: Students can compete with one another to do better!

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The different job roles for skilled R and Python programmers (with Machine Learning as a context) are:
Data Scientists
Machine Learning Engineer
Data Analyst
Social Media Analyst
Financial Analyst

Yes, you can! This is because the course starts off with bare basics like syntax and only then moving on to machine learning concepts.

IIHT’s R and Python Programming course has batch timings that are convenient for working professionals. Drop us your details and we will call you back with information.

Please leave us your details in the pop up box and our counselors will give you a call

There are no specific standard certifications for R and Python. But you do get a course completion certificate from IIHT. Being a top industry trainer also, IIHT’s course certificates are well recognized across the IT industry.