Data Science – Self Paced

Kickstart your career in one of the most in-demand fields with our comprehensive Data Science course, designed as per the latest AICTE norms. This program equips learners with hands-on skills in Python programming, data analysis, machine learning, and natural language processing (NLP) to prepare for high-growth roles in data science and artificial intelligence.

The course begins with Python fundamentals — covering data types, arrays, lists, dictionaries, string operations, functions, conditions, loops, I/O handling, Excel & database operations, and error handling. You will then explore NumPy, Pandas, and Matplotlib, mastering dataframes, arrays, and visualization techniques for deeper insights.

Advance into Statistics, Probability, and Exploratory Data Analysis (EDA) to build a strong foundation for Machine Learning (ML). Learn supervised and unsupervised algorithms, data preprocessing, wrangling, outlier treatment, and feature selection techniques (variance, filter, correlation).

Dive into dimensionality reduction techniques like PCA, LDA, Kernel PCA, and factor analysis. The course also covers data splitting methods, cross-validation techniques, and model evaluation to ensure accuracy and reliability.

Specialized modules focus on Network Analysis, Natural Language Processing (NLP), and Sentiment Analysis using Naïve Bayes, empowering you to work on real-world text, social media, and AI-driven projects.

By the end of this program, you’ll be equipped with industry-ready skills in Python, ML, NLP, and analytics, opening doors to high-paying roles like Data Scientist, Machine Learning Engineer, AI Specialist, and Business Analyst.