DataCamp

Statistical Thinking in Python (Part 1)

Mathematics and Statistics

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Short Description

Build the foundation you need to think statistically and to speak the language of your data.

Long Description

Upon completing the arduous task of collecting and organizing data, the ultimate objective is to derive concise and comprehensible conclusions. This pivotal stage in the data analysis process heavily relies on the principles of statistical inference. The present course aims to establish a solid groundwork for developing statistical thinking skills, enabling individuals to effectively communicate with their data and comprehend the insights it provides. Although the foundations of statistical thinking were constructed over several decades, modern technology, particularly computer-based tools such as Python, allows for a significantly accelerated learning process. By leveraging the capabilities of Python-based tools, participants will swiftly acquire the necessary knowledge and be capable of thinking statistically by the conclusion of this course.

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Course Details

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