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In this Simplilearn video, we introduce Descriptive Statistics, explaining its importance in summarizing and analyzing data. We guide you through the step-by-step process of performing Descriptive Statistics in Excel, covering everything from calculating mean, median, and mode to understanding standard deviation and variance. Finally, we break down the key results you’ll see in Descriptive Statistics, helping you grasp what each value means and how to interpret them for better data analysis.
00:00:04 - Introduction
00:00:23 - What is Descriptive Statistics?
00:01:00 - Demo
00:04:43 - Descriptive Statistics results's explanation
Descriptive Statistics is a way to summarize and describe data using simple numbers and visuals. It includes measures like the mean (average), median (middle value), mode (most common value), range (difference between highest and lowest), and standard deviation (how spread out the data is). These tools help you quickly understand the main features and patterns in your data.
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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
Key Features
✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 8X higher live interaction in live online classes by industry experts
✅ Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
✅ Master Classes delivered by Purdue faculty and IBM experts
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Resume preparation and LinkedIn profile building
✅ 1:1 mock interview
✅ Career accelerator webinars
Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning
Learning Path
✅ Induction Session for Purdue Data Analytics Program
✅ PG DA - Business Analytics with Excel
✅ PG DA - SQL
✅ PG DA - Programming foundation and Data Analytics with Python
✅ PG DA - R programming for Data Science
✅ PG DA - Data Analytics with R
✅ PG DA - Tableau Training
✅ PG DA - Data Analytics Capstone
Electives:
✅ PL-300 Microsoft Power BI Certification Training
✅ Academic Masterclass by Purdue University Online
✅ Industry Master Class – Data Analytics
✅ Generative AI Masterclass
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