Announcement Bell Icon Interested in Personalized Training with Job Assistance? Know More

Course Content

Understanding of Data Science

How to use LearnVern

Introduction to Data Measurement in Data Science

Types of Variables in Data Science

Levels of Data Measurement in Data Science

Data Measurement Quiz

Charts and Graphs in Data Science

Frequency Distribution in Data Science

Bar Graphs and Pie Charts in Data Science

Summarizing Quantitative Data in Data Science

Cummulative Distribution in Data science

Histogram and Scatter Plot in Data Science

Cross Tabulation in Data Science

Charts and Graphs Quiz

Measures of Central Tendency and Variability in Data Science

Mean and Percentiles in Data Science

Quartiles in Data Science

Measures of Variability in Data Science

Variance and Standard Deviation in Data Science

Application of Standard Deviation in Data Science

Z-score and Co-efficient of Variation in Data Science

Measures of Central Tendency Quiz

Measures of Central Tendency for Grouped Data in Data Science

Standard Deviation and Variance for Grouped Data in Data Science

Skewness in Data Science

Kurtosis in Data Science

Box and Whisker Plots in Data Science

Measures of Shapes Quiz

Hypothesis Testing in Data Science

Statistical Hypothesis in Data Science

Errors in Statistical Hypothesis in Data Science

Statistical Inference for Single Population in Data Science

Testing Example in Data Science

Statistical Inference with Two Population in Data Science

R Programming in Data Science

Data Types in R in Data Science

Understanding R Console and R Studio in Data Science

Analysis of Variance and Annova in Data Science

Assumption and Variation in One-Way ANOVA in Data Science

Two way ANOVA in Data Science

Summary of ANOVA in Data Science

ANOVA Quiz

ANOVA example in Data Science

One way ANOVA Example in Data Science

Two way ANOVA Example in Data Science

Understanding Datamining in Data Science

Introduction to Simple Linear Regression and Correlation in Data Science

Least Square and Residual Analysis in Data Science

Test assumption of Regression Model in Data Science

Hypothesis and Co-Efficient of Determination in Data Science

Regression Example - Creating Model in Data Science

Residual Analaysis of Model example in Data Science

Residual Analysis of Model Part 2 in Data Science

Residual Analysis of Model Part 3 in Data Science

Regression Quiz

Understanding Clustering in Data Science

Hierarchical Clustering in Data Science

Example of Hierarchial Clustering in Data Science

K Means Clustering in Data Science

Example of K Means Clustering in Data Science

Clustering Quiz

Theoretical Concepts of Dashboard

Creating Pivots and Preparing Charts

Slicers in Dashboard

Preparing Final Dashboard

Presenting Dashboard

Mean and Percentiles in Data Science

Data Science Course Measures of Central Tendency and Variability

Enroll Now For Free

Discussion

Course Content

Understanding of Data Science

How to use LearnVern

Introduction to Data Measurement in Data Science

Types of Variables in Data Science

Levels of Data Measurement in Data Science

Charts and Graphs in Data Science

Frequency Distribution in Data Science

Bar Graphs and Pie Charts in Data Science

Summarizing Quantitative Data in Data Science

Cummulative Distribution in Data science

Histogram and Scatter Plot in Data Science

Cross Tabulation in Data Science

Measures of Central Tendency and Variability in Data Science

Mean and Percentiles in Data Science

Quartiles in Data Science

Measures of Variability in Data Science

Variance and Standard Deviation in Data Science

Application of Standard Deviation in Data Science

Z-score and Co-efficient of Variation in Data Science

Measures of Central Tendency for Grouped Data in Data Science

Standard Deviation and Variance for Grouped Data in Data Science

Skewness in Data Science

Kurtosis in Data Science

Box and Whisker Plots in Data Science

Hypothesis Testing in Data Science

Statistical Hypothesis in Data Science

Errors in Statistical Hypothesis in Data Science

Statistical Inference for Single Population in Data Science

Testing Example in Data Science

Statistical Inference with Two Population in Data Science

R Programming in Data Science

Data Types in R in Data Science

Understanding R Console and R Studio in Data Science

Analysis of Variance and Annova in Data Science

Assumption and Variation in One-Way ANOVA in Data Science

Two way ANOVA in Data Science

Summary of ANOVA in Data Science

ANOVA example in Data Science

One way ANOVA Example in Data Science

Two way ANOVA Example in Data Science

Understanding Datamining in Data Science

Introduction to Simple Linear Regression and Correlation in Data Science

Least Square and Residual Analysis in Data Science

Test assumption of Regression Model in Data Science

Hypothesis and Co-Efficient of Determination in Data Science

Regression Example - Creating Model in Data Science

Residual Analaysis of Model example in Data Science

Residual Analysis of Model Part 2 in Data Science

Residual Analysis of Model Part 3 in Data Science

Understanding Clustering in Data Science

Hierarchical Clustering in Data Science

Example of Hierarchial Clustering in Data Science

K Means Clustering in Data Science

Example of K Means Clustering in Data Science

Theoretical Concepts of Dashboard

Creating Pivots and Preparing Charts

Slicers in Dashboard

Preparing Final Dashboard

Presenting Dashboard

FAQs

Percentiles are a unit of measurement that divides organised data into hundredths. A given percentile in a sorted dataset is the point where that percent of the data is less than where we are now. The 99th percentile income is the level at which 99 percent of the rest of the country earns less and 1 percent earns more.

The average value of a dataset is the number around which the entire data is spread out. When defining the Mean, all values used in calculating the average are weighted equally.

A percentile is a score that compares one score to the scores of the remainder of the group. It displays the proportion of scores that a certain score outperformed. If you get 75 points on a test and are in the 85th percentile, that indicates your score is higher than 85 percent of the other people's.

In an ordered data set, the median is the'middle' value. If your variable of interest is assessed on a nominal or ordinal (categorical) scale, the most common strategy for determining the central tendency of your data is to employ Mode.

The value at a specific rank is referred to as a percentile. If your test score is in the 95th percentile, for example, a frequent interpretation is that just 5% of the scores were higher than yours. The 50th percentile is the median; it is widely accepted that 50% of the values in a data collection are higher than the median.

Recommended Courses

MS Excel Course

Students Enrolled : 215443

4.4

(3897)

हिन्दी

Learn All MS Excel Functions In Hindi And Become A Data...

Enroll For Free

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

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