Data Science

The Data Science course is designed to prepare students and professionals to become skilled in extracting insights, patterns, and predictions from data. This program combines concepts from statistics, machine learning, data visualization, and big data tools, enabling learners to make data-driven decisions. With practical exposure to Python, SQL, and visualization tools, participants will gain the expertise to solve real-world business and research problems.

Trainer

P. Suresh, MCA, M.Phil

Course Fee

₹18000

Teaching Method

100% Practical

Duration

4 to 5 Months

Introduction to Data Science

Understanding data science lifecycle, applications, and tools.

Python for Data Science

Python basics, NumPy, Pandas, data manipulation, and exploratory data analysis.

Statistics & Probability

Descriptive statistics, probability distributions, hypothesis testing.

Data Preprocessing & Cleaning

Handling missing data, outliers, data normalization, feature engineering.

Data Visualization

Matplotlib, Seaborn, Power BI for insights presentation.

Machine Learning for Data Science

Regression, classification, clustering, recommendation systems.

Big Data Basics

Introduction to Hadoop, Spark, and working with large datasets.

Demo Project

Capstone project on predictive modeling, customer segmentation, or business analytics.