DataCamp

Introduction to Statistics in Python

Mathematics and Statistics

Short Description

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Long Description

Statistics is a crucial field that encompasses the collection, analysis, and interpretation of data. It provides a powerful tool to gain insights into the future and make informed decisions. This course aims to enhance your statistical skills by enabling you to address various questions. For instance, you will learn to determine the probability of customers purchasing your product, forecast the volume of calls your support team will receive, and determine the appropriate range of jeans sizes to cater to 95% of the population. Throughout the course, you will acquire the ability to calculate averages, utilize scatterplots to visualize relationships between numerical variables, and compute correlations. Additionally, you will delve into probability theory, which forms the foundation of statistical reasoning. Moreover, you will gain proficiency in utilizing Python to conduct well-designed studies and draw meaningful conclusions from data.

Course Details

Duration
4 hours
Difficulty
Intermediate
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
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.