Data science is one of the most demanding fields in all over the world. The job market experienced a sudden growth in data science and AI roles in 2025, and it continues every year. In India, an experienced one can earn from 8L to max 40L in a year. So, gaining this most demanding career is an inevitable part of your career journey. With RP2, you will gain the right knowledge from the right professionals. We offer data science & analytics courses in Kochi, Kerala, with a carefully selected syllabus that can’t beat today’s market and the on-project training facilities with real-time project experience.

We can see some of the skills you’ll gain from our data science course.

We are providing it in 6 modules.

Python

Python covers the basic syntax, variables, operators and conditional statements, control flow statements, functions, data types, exception handling, file handling, and object-oriented programming (OOPs).

R

R is the queen of data science and the king of Python. Since its inception in 1992, R has been an open-source programming language specializing in computing and statistical analysis. It is widely used in academia, scientific research, and sectors like business and finance. A significant benefit of R is that it permits various data analyses.

Foundations of AI, ML, and Data Science

• Data Preparation
• Supervised Learning
• Unsupervised Learning
• Artificial Neural Networks
• Natural Language Processing
• Computer Vision

Data Loading, Exploration, and Preprocessing

Data loading, exploration, and preprocessing includes steps such as data loading, understanding data with statistics and visualization, preparing data, feature selection, and applying techniques like classification, regression, and clustering, along with evaluating performance using metrics, improving performance, and applying mathematics for machine learning.

Machine Learning Algorithms and Modelling

Machine learning algorithms and modelling involve data representation, linear and extended linear modelling, stochastic gradient descent, support vector machines, Naive Bayes, decision trees, clustering methods, and dimensionality reduction using PCA.

Deep Learning and Neural Networks

• The Neural Network
• Types of Neural Networks
• Convolutional Neural Network (CNN)
• Recurrent Neural Network (RNN)
• Long Short-Term Memory (LSTM)
• Autoencoders
• Transformers

Data Visualization with Tableau

Data Visualization with Tableau includes an overview of Tableau, working with data sources, collecting and assembling data, creating visualizations, applying filters, and building dashboards.

Generative AI & Prompt Engineering

• Introduction to Generative AI
• Generative Models: GAN, GPT, Transformers, VAE, LLMs

• Transformers and Attention Mechanism
• Retrieval Augmented Generation (RAG)
• What is a Prompt?
• What is Prompt Engineering?
• Best Practices for Prompt Creation
• Common Prompt Engineering Tools and Techniques (Text-to-Text, Interview Pattern, Chain-of-Thought, Tree-of-Thought approaches)

The major career opportunities are

• Data Scientist
• Machine Learning Engineer
• AI Specialist
• Business Intelligence Analyst
• Data Visualization Expert

Master Data Science through RP2

The Data Science and Analytics courses through RP2, the leading data science gen AI professional training institute in Kochi can help students achieve the finest data scientist skill set. These courses teach students the latest languages and tools in machine learning and data science, thus setting them up for long-term success in these domains. With these courses, students can truly learn how to harness the potential of data for their work.