DATA SCIENCE

Class XII / SUBJECT CODE (844)
Data science has become an essential part of any industry today. Its a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.
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Course Objective

The objective of the data scientist is to explore, sort and analyze metadata from various sources in order to take advantage of them and reach conclusions to optimize business processes or for decision support.

Course Features

The key objective of Data Science is to extract valuable information for use in strategic decision making, product development, trend analysis, and forecasting.
Instructor
“ Data science is one of the most debated topics in the industries these days. Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction. .”
  • E-learning & Onsite classes
  • A 'Workshop' class
  • Industrial Visit
  • Certificate of Completion

Course Content

What is Data Governance?
Ethical Guideline
Data Privacy
Introduction
Univariate Analysis
Multivariate Analysis
Data Cleaning
Introduction
introduction to Decision Trees
Application of Decision Trees
Creating a Decision Tree
Introduction
introduction to K-Nearest Neighbors
Pros and Cons of using K-NN
Cross-Validation
Introduction
introduction to Linear Regression
Mean Absolute Error
Root Mean Square Deviation
Introduction
Multiple Linear Regression
Non-Linear Regression
Introduction
Introduction to Unsupervised Learning
Real-world application of Unsupervised Learning
Introduction to Clustering
K-Means Clustering
Introduction
Introduction to the Project
Setup Visual Studio Code and Python
Gather data for the meteor showers
Cleanse meteor data
Write the predictor function
Introduction
Introduction to the Project