DATA SCIENCE

Class X / Subject Code - 419
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.
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

Introduction
What are subsets?
Two-way frequency table
Interpreting two-way tables
The two-way relative frequency table
Meaning of mean
Median
Mean Absolute Deviation
What is the Standard Deviation
Activity

Introduction
What is distribution in data science?
What are different types of distributions?
Statistical Problem Solving Process
Activity – Choosing groups for the school dance program

What are partiality, preference, and prejudice?
How do identify partiality, preference, and prejudice?
Probability for statistics
The Central Limit Theorem
Why is the Central Limit Theorem Important?

Overview of Data Merging
What is Z-Score?
How to calculate a Z-Score?
How to interpret the Z-Score?
Why is a Z-Score so important?
Concept of Percentiles
Deciles

Note about data governance framework
Ethical guidelines around data analysis
Discarding the data