Introduction to Data Science Course

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 Data characteristics • Categorical • Numerical • Text • Image • Time-series, etc. • 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.

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