Introduction to Data science (Training Only)

Description

Data Science Foundation Course Overview

This foundational course provides an essential introduction to the world of Data Science, designed for individuals seeking to build a solid understanding of data analysis and machine learning. The course covers both business and technological perspectives of Data Science, offering insights into its benefits, challenges, and adoption hurdles.

What You Will Learn:

• Data Science Fundamentals: Gain a basic understanding of Data Science, its key concepts, and how it applies in various industries.
• Python for Data Science: Learn to use Python, a powerful open-source tool commonly used in Data Science for data manipulation, analysis, and visualization.
• Exploratory Data Analysis (EDA): Understand the process of analyzing datasets to summarize their main characteristics and discover patterns.
• Statistics Fundamentals: Learn essential statistical concepts, such as hypothesis testing, regression, and classification modeling techniques.
• Machine Learning Introduction: Get introduced to key machine learning concepts, including predictive modeling and algorithm selection.
• End Project: Apply the learned skills to a practical project, building your portfolio and preparing you for real-world Data Science applications.
• Interview Preparation: Equip yourself with the knowledge and tools needed for a career in Data Science, including interview tips and mock interviews.

Career Prospects:

Data Science is considered one of the most lucrative careers of the 21st century. With the rising demand for skilled data professionals, Data Scientists can earn base salaries up to 36% higher than other analytics professionals. According to Glassdoor, the national average salary for a Data Scientist in the United States is approximately $1,39,840.

This course is ideal for both freshers and seasoned professionals who wish to transition into or advance their career in Data Science. By the end of the course, you will be industry-ready, with the foundational skills necessary to excel in the world of Data Science.