Development

Data Science

Trainer : Amit Bhoj

Last Update: 10 June, 2024

Course Overview

This Data Science course provides a comprehensive pathway to mastering the essential skills needed for a career in data science. Designed for both beginners and those looking to enhance their existing skills, the course covers a broad spectrum of topics crucial for analyzing and interpreting complex data.

You will start by learning the fundamentals of data science, including data collection, cleaning, and preprocessing techniques. The course delves into exploratory data analysis (EDA), where you will uncover patterns, trends, and insights using various statistical methods and visualization tools.

The course also emphasizes practical applications, including real-world projects and case studies that enable you to apply your knowledge to solve real data challenges. You'll learn to use data visualization tools like Matplotlib and Seaborn to effectively communicate your findings.

What You will Learn?

In this Data Science course, you will master essential skills for analyzing and interpreting data.
Explore exploratory data analysis (EDA) to uncover patterns using statistical methods and visualizations.
Learn the fundamentals of machine learning, including algorithms for classification and regression.
Apply predictive analytics to forecast trends and integrate models into decision-making processes.