The document outlines an introductory course in data science that covers fundamental concepts, applications, and processes within the field. Participants will learn about different data types, data cleaning, analysis, visualization, and basics of machine learning, as well as how to use Python for data science. The course is designed for individuals with no prerequisites who are interested in understanding data science and its applications in various fields.

1. Introduction to
Data Science
Course

2. Introduction
• Data science is an interdisciplinary
field that involves the use of statistical
and computational methods to extract
insights and knowledge from data.
• This course is designed to provide an
introduction to data science and its
applications.

3. Course Objectives
• Understand the basics of data science & its applications
• Learn the different types of data & their characteristics
• Understand the data science process & its components
• Learn the basics of data cleaning, manipulation, &
analysis
• Understand the basics of data visualization
• Understand the basics of machine learning & its
applications
• Learn how to use Python for data science

4. Course Outline
• Introduction to Data Science
• Types of Data and Data Characteristics
• The Data Science Process
• Data Cleaning and Data Manipulation
• Data Analysis
• Data Visualization
• Machine Learning Basics
• Python for Data Science

5. Types of Data and
Data Characteristics
Types of Data
• Categorical
• Numerical
• Text
• Image
• Time-series, etc.
Data characteristics
• Size
• Shape
• Complexity,
• Variability, etc

6. Skills you will gain
You will:
• Have a good understanding of the
fundamentals of data science.
• Have an understanding of how organizations
are using data science to solve problems.
• Have knowledge of use cases and the
applications of data science.

7. Who should enroll
• Individuals looking for a good
introduction to data science.
• Individuals who would like to explore
the tools and technologies used in data
science.
• Invididuals who would like to begin
understanding how to apply a particular
data science approach to their work.

8. Prerequisites
• No prerequisites are required for taking
this course.

9. Thanks for watching
Learn more about Introduction of Data
Science Course visit:
https://skillup.online/courses/introduction
-to-data-science/