The document outlines a data science course that covers data analysis, statistics, and programming in Python, including tools such as NumPy and Pandas. It emphasizes the importance of data science skills in the industrial sector, highlighting high demand and compensation for professionals in the field. The course offers expert mentorship, support, and flexible learning options, culminating in a certification.

1. DATA SCIENCE
COURSE
Explore how to analyze data and make decisions

2. Statistics Python
Course Curriculum
Data Types: A Brief Introduction
Statistics for Beginners
Inferential Probability Statistics
Introduction
Variables in Data Structures
Data Types
Functions
Exception Handling in Control Flow
Data Science libraries that are useful
Arrays Numpy
Pandas
Visualization of Data

3. By the end of the
lesson, you'll have:
Domain Expertise &
visualization
Data Engineering
capabilities
Advanced
computing
knowledge

4. KEY FEATURES
Expert mentors
24*7 Support desk
Resume Building
LinkedIn Optimization
Flexible Batches
User Friendly and Anywhere Accessible LMS
Capstone Projects
Master Certification

5. Conclusion
Data Science is a high-level programming
language with a wide range of advanced
applications such as scientific computing,
web programming, coding, and machine
learning.
Data Science has been termed as the ” great
need” in the industrial sector by researchers
since it is in high demand among both new
and seasoned developers. It is the most
highly compensated talent among all
programming languages utilized in the
technology sector.

6. Reference
https://iimskills.com/data-science-courses-in-delhi/