Analyzing Survey Data in Python

Starting at USD 39.00
4 hours duration

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Enhance your data analysis skills by learning how to effectively use Python on survey data. Whether you are a company seeking insights into employee preferences or a marketing campaign aiming to cater to your target audience, survey data analysis is a crucial tool for understanding populations and making informed decisions. In this comprehensive course, you will gain a deep understanding of the purpose and significance of analyzing survey data. You will also learn when it is appropriate to apply descriptive and inferential statistical tools to extract meaningful insights. Building upon the concepts covered in Hypothesis Testing in Python, this hands-on course will equip you with the necessary skills to analyze various types of survey data using Python. You will explore different sampling methods to ensure accurate representation of the population and understand how they impact the conclusions drawn from your analysis. Additionally, you will learn how to effectively visualize survey results and qualitatively interpret variables and modeling tests such as linear regression, the two-sample t-test, and the chi-square test. These techniques will be tailored to the specific type of survey data you are analyzing, enabling you to derive valuable insights and make data-driven decisions. By the end of this course, you will have a solid foundation in using Python for survey data analysis, empowering you to confidently tackle real-world data challenges and contribute to evidence-based decision-making processes.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.