What Is Data Science?
Data Science is a Concept to unify statistics, data analysis and their related methods “to understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many cluster analysis, data mining, databases, and visualization.
Training enables you to gain knowledge of the entire Life Cycle. Analyzing and visualizing different data sets, different Machine Learning Algorithms like Linear regression, K-Means Clustering, Decision Tress, Random Forest, Neural Network, different optimization techniques and advanced concept in it
Python offers plenty of benefits which mean that an increasing number of people are adopting Python for their work. As one of the most popular mainstream programming languages on the market, it’s a practical choice for tech types of all kinds – data scientistsincluded.
Python is a powerful and modern programming language. Python is very easy to use and allows you to use variables without declaring them. You are not forced to define any classes in Python.Python for the purpose of doing mathematical calculations. Python is a good for mathematical calculations, and it is easy and quick to write code on it and test it fastly.
Python for Data Science
- Python is easy to use
- Python is versatile
- Python is better for building analytics tools
- Data visualization with Python is easy
- Python is better for deep learning
- IT Professionals
- Business Strategists
- This course is also suitable for freshers who have no prior experience in Data Science and/or analytics.
There are no eligibility criteria for this course. However, participants are expected to have a working knowledge of computers.