Data Science

Data science is a multidisciplinary field that combines statistical analysis, machine learning, and programming to extract meaningful insights from complex data sets. It involves collecting, organizing, and analyzing large volumes of data to uncover patterns, trends, and correlations.

It provides a powerful set of libraries and tools for data analysis, manipulation, and visualization. Python’s popularity in the data science community makes it a valuable skill for anyone interested in this field.

Data scientists utilize various techniques and tools to uncover valuable information that can drive informed decision-making and solve real-world problems. With its wide range of applications across industries, data science has become an integral part of harnessing the power of data to unlock innovation and drive business success.

It provides a powerful set of libraries and tools for data analysis, manipulation, and visualization. Python’s popularity in the data science community makes it a valuable skill for anyone interested in this field.

Eligibility To Enroll In Data Science Course:

• 10+2 and Graduate freshers with aspirations to become data Scientists and advance their careers.
• Analytics professionals, Software Developers, Project Managers and Business intelligence Managers
• Aspirants who are looking to transition their career to the Data Science industry.

Data Science Course Syllabus:

• Module 1 : Introduction To Data Science
• Module 2 : File Handling
• Module 3 : Python
• Module 4 : Inferential Statistics
• Module 5 : Python Mysqli
• Module 6 : Building Your Frist Project
• Module 7 : Intro To Python Modules
• Module 8 : Python Matplotlib
• Module 9 : Coding Exprcises
• Module 10 : Python Matpllotilib
• Module 11 : Data Visualization In Python
• Module 12 : Live Project