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UID:20260513T051755Z - 40560@me265a.odoo.com
DTSTART;TZID=Asia/Calcutta:20260112T193000
DTEND;TZID=Asia/Calcutta:20260112T203000
CREATED:20260513T051755Z
DESCRIPTION:<a href="https://www.ihedu.org/event/data-analytics-using-excel
 -9">Data Analytics Using Excel</a>\nIHE Spark Series -5 👨‍🏫 Speake
 r Dr Santhosh N Professor & Head\, Dept. of Mechanical Engineering Dayanan
 da Sagar Academy of Technology & Management \, Bengaluru\, India Prof. San
 thosh is a distinguished academician with extensive experience in data ana
 lytics and statistics. He has contributed to several research initiatives 
 and actively guides students and professionals in gaining practical and st
 atistical insights into data analysis using Microsoft Excel. His expertise
  bridges theoretical concepts with real-world analytical applications. 
 🧠 Webinar Overview Data Analytics using Excel is a practical and hands-
 on session designed to help participants understand how Excel can be effec
 tively used as a powerful data analytics tool. The webinar focuses on tran
 sforming raw data into meaningful insights through cleaning\, analysis\, v
 isualization\, and statistical techniques. Participants will explore how E
 xcel supports data-driven decision-making using built-in tools\, formulas\
 , and analytical add-ins commonly applied in academics\, research\, and in
 dustry. 📌 Topics Covered Participants will gain understanding of: Data 
 Cleaning & Preparation Sorting\, filtering\, Data Validation\, and Power Q
 uery to structure raw data\, handle missing values\, and transform dataset
 s into usable formats (e.g.\, Ctrl + T to convert data into Tables) Formul
 as & Functions Practical use of functions such as SUM\, AVERAGE\, IF\, and
  VLOOKUP for calculations and data lookup PivotTables Summarizing\, groupi
 ng\, and aggregating large datasets to identify trends (e.g.\, total sales
  by region\, product-wise analysis) Data Visualization Creating charts suc
 h as bar\, line\, pie\, and box & whisker plots to visually represent patt
 erns\, distributions\, and outliers Statistical Analysis Using the Analysi
 s ToolPak for regression\, descriptive statistics\, histograms\, and more 
 Data Types in Excel Converting text into linked data [...]
DTSTAMP:20260513T051755Z
LOCATION:Karnataka KA\, India
SUMMARY:Data Analytics Using Excel
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.ihedu.org/event/data-anal
 ytics-using-excel-9">Data Analytics Using Excel</a>\nIHE Spark Series -5 
 👨‍🏫 Speaker Dr Santhosh N Professor & Head\, Dept. of Mechanical E
 ngineering Dayananda Sagar Academy of Technology & Management \, Bengaluru
 \, India Prof. Santhosh is a distinguished academician with extensive expe
 rience in data analytics and statistics. He has contributed to several res
 earch initiatives and actively guides students and professionals in gainin
 g practical and statistical insights into data analysis using Microsoft Ex
 cel. His expertise bridges theoretical concepts with real-world analytical
  applications. 🧠 Webinar Overview Data Analytics using Excel is a pract
 ical and hands-on session designed to help participants understand how Exc
 el can be effectively used as a powerful data analytics tool. The webinar 
 focuses on transforming raw data into meaningful insights through cleaning
 \, analysis\, visualization\, and statistical techniques. Participants wil
 l explore how Excel supports data-driven decision-making using built-in to
 ols\, formulas\, and analytical add-ins commonly applied in academics\, re
 search\, and industry. 📌 Topics Covered Participants will gain understa
 nding of: Data Cleaning & Preparation Sorting\, filtering\, Data Validatio
 n\, and Power Query to structure raw data\, handle missing values\, and tr
 ansform datasets into usable formats (e.g.\, Ctrl + T to convert data into
  Tables) Formulas & Functions Practical use of functions such as SUM\, AVE
 RAGE\, IF\, and VLOOKUP for calculations and data lookup PivotTables Summa
 rizing\, grouping\, and aggregating large datasets to identify trends (e.g
 .\, total sales by region\, product-wise analysis) Data Visualization Crea
 ting charts such as bar\, line\, pie\, and box & whisker plots to visually
  represent patterns\, distributions\, and outliers Statistical Analysis Us
 ing the Analysis ToolPak for regression\, descriptive statistics\, histogr
 ams\, and more Data Types in Excel Converting text into linked data [...]
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