Course Content

Course Content

FAQs

According to Towards Data Science, a data science business blog, descriptive statistics include normal distribution (bell curve), central tendency (mean, median, and mode), variability (25 percent, 50 percent, 75 percent quartiles), variance, standard deviation, modality, skewness, and kurtosis.

The procedure of completing numerous statistical operations is known as statistical data analysis. It is a type of quantitative research in which the goal is to quantify the data using some form of statistical analysis. Descriptive data, such as survey data and observational data, are examples of quantitative data.

The most common method for examining quantitative research data is statistical analysis. It use probability and models to assess population predictions based on sample data. What makes descriptive statistics different from inferential statistics? The properties of a data set are summarised using descriptive statistics.

The process of analysing, cleansing, manipulating, and modelling data with the objective of identifying usable information, informing conclusions, and assisting decision-making is known as data analysis.

Statistics literally means "numerical data," and it is a branch of mathematics that deals with data gathering, tabulation, and interpretation. It's a type of mathematical analysis that use several quantitative models to generate a set of experimental data or real-world research.

Recommended Courses

Share With Friend

Have a friend to whom you would want to share this course?

Download LearnVern App

App Preview Image
App QR Code Image
Code Scan or Download the app
Google Play Store
Apple App Store
598K+ Downloads
App Download Section Circle 1
4.57 Avg. Ratings
App Download Section Circle 2
15K+ Reviews
App Download Section Circle 3
  • Learn anywhere on the go
  • Get regular updates about your enrolled or new courses
  • Share content with your friends
  • Evaluate your progress through practice tests
  • No internet connection needed
  • Enroll for the webinar and join at the time of the webinar from anywhere