Introduction to data science Course
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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.
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/