Introduction to Statistics for Data Science | Statistics Tutorial | Statistics for Data Science
🔥Liverpool John Moore University MS In Data Science: https://www.upgrad.com/data-science-m...
🔥IIIT Bangalore Post Graduate Program in Data Science & AI: https://www.upgrad.com/data-science-p...
🔥Graduate Certificate Programme in Data Science & AI: https://www.upgrad.com/graduate-certi...
🔥Become a Skilled and Job-Ready Data Scientist: https://www.upgrad.com/bootcamps/job-...

One of the first steps to understand the world of Data Science is to learn statistics from scratch! Understand how Statics for Data Science for beginners work before you take a deep dive into the field you love!

The video begins with an introduction to statistics and a practical application, setting the stage for the importance of statistical knowledge in data science. This initial segment, provides a contextual understanding of how statistics is used in real-world scenarios, making the concepts more relatable and easier to grasp.

Following the introduction, the video delves into different types of variables and measures of central tendency, such as mean, median, mode, variance, and standard deviation. These concepts are essential for summarizing and understanding data distributions. The detailed explanations and examples provided in this segment help demystify these fundamental statistical measures, making them accessible to beginners.

We explores quartiles, quantiles, percentages, and percentiles. These concepts are vital for understanding data distribution and variability, and the video does an excellent job of explaining them in a straightforward manner. This section is particularly useful for those looking to gain a deeper understanding of how to interpret and compare data sets.

Then moves on to discuss the Interquartile Range (IQR) and outliers. Identifying and understanding outliers is crucial for accurate data analysis, and this segment provides practical tips and techniques for detecting them. we also addresses statistical and contextual outliers, as well as inliers. This discussion is essential for understanding the nuances of data interpretation and ensuring accurate analysis.

Overall, this video is a comprehensive guide to the basics of statistics for data science beginners. By covering these fundamental topics in a clear and practical manner, it equips viewers with the essential skills needed to embark on their data science journey with confidence.

This video covers the following topics:-
00:00 :- Introduction to Statistics and a practical application
15:00 :- Type of variables along with Central Tendency (Mean, Median, Mode, Variance, Standard Deviation)
55:00 :- Quartile, Quantile, Percentage, and Percentile
01:04:00 :- IQR, Outliers
01:14:00 :- Statistical and Contextual Outliers, Inliers

#StatisticsforDataScienceforBeginners #StatisticsTutorial #StatisticsforDataScience #Statistics #datascience #upgrad

🟢 Get industry-updated insights every week from domain experts - Check out our free masterclasses - https://www.upgrad.com/free-mastercla...

🟢 Wish to get started with your upskilling journey? Schedule a free counselling session - https://calendly.com/upgradadmissions...

Get in touch with us (24x7):
Toll-Free number: 1800 210 2020
WhatsApp Chat: +91 8454 888 222