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Data Science

Machine Learning &

Artificial Intelligence 

Using Codeless Methodology

Master Course



6 Months

Course Duration


Live Sessions


Tools Learned


Batch Size

Lack of Coding Skills Needn’t be a Showstopper


Imagine working on  Data Science, ML, and AI. without writing a single line of code. Taught by experienced professionals in a simple and easy way, this course will help you apply the concepts without getting bogged down with Python or R programming.

While in other online data science programs, , working professionals/managers start losing interest as the pedagogy gets deeper into coding.

Course Benefits

  • All the concepts of mathematics, statistics, ML and AI are taught using the codeless 'Drag and Drop' methodology.


  • Solve problems from Day 1 all without writing a single line of code.


  • Time saved in learning Python and R will be utilized in providing hands-on experience in each of the Machine Learning and AI Algorithms.


  • Industry oriented course with hands-on exercises based on real-life industry cases using excel and codeless tools.


  • Certificate


Unique 4-C Approach


1. Concept 
2. Context 
3. Case
4. Codeless 

The Unique 4-C methodology has been developed to enable you to learn Data Science, AI and ML without writing a single line of Python or R code.

Joint Certification from GNDP and Sudaksha

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Complete all the modules in the course successfully to receive the Certification

Top skills you will learn from the course

Statistics, Visualization, Predictive Analytics, Basic & Advanced Machine Learning and Deep Learning concepts. Using ML, AI and Deep Learning algorithms to solve problems and cases using the codeless methodology.

Frequently asked questions

Why Codeless Methodology?

Most of the data science courses being taught today insist on learning programming languages like Python / R . However, learning coding from scratch for those who do not have a background in coding might itself take several months. It is not uncommon to find IT professionals who have moved to manager and senior manager roles have lost touch with coding. The codeless methodology removes the entry barrier of coding for those who aspire to learn data science, ML & AI.

Why is the Codeless Methodology Being Advocated?

The codeless methodology helps in solving ML/AI problems without going through the time consuming route of learning a programming language like Python / R. The programming route can also be a deterrent / barrier for professionals from non-technical backgrounds.

What are the Trends in Codeless Methodology?

Just like how Wordpress has democratized website building, Canva democratized design and Shopify democratized e-commerce, in the same way, Data Science is being democratized, thanks to the advent of codeless analytics tools. Professionals / Managers with domain knowledge can learn Data Science, ML and AI using the codeless tools and “ turn data into insights” without writing a single line of code.

What are the Dfferent Codeless Tools Available?

There are several tools available and some of them are open source, that can be downloaded free of cost and practiced.

How can the Codeless Tools Help us Learn Data Science?

The participants will be taught the theoretical concepts in Statistics, Maths and Data Science / ML/ AI algorithms.The codeless tools will then be used to solve problems , use cases and projects.

Is it Difficult to Learn the Codeless Tools?

Learning the tool is very easy as it involves drag and drop of objects similar to what we do in powerpoint. However, knowledge of the data science concepts and ML/AI algorithms is required to know what to drag, drop and configure. This is precisely what the participants will learn in parallel along with the codeless tool.

Does this Course Suit Participants from Non-technical Backgrounds?

The course is a boon to participants from non-technical backgrounds (including medical / pharma/ commerce graduates) as there is no programming involved. However, they should have an inclination to learn concepts of statistics and maths which are taught as part of this course.

View the general Frequently Asked Questions(FAQs) here

Course Instructor

Srinivasa Rao​ is an Engineering Post Graduate from IIT Chennai and an MBA from IIM Kozhikode. He is a practicing Data Scientist with an overall experience of 25+ years in diverse domains such as the public sector, finance, retail, biometrics, health, manufacturing & energy sectors.


He currently works on building Machine Learning and AI solutions in sectors such as retail, manufacturing and energy sectors.