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DEVELOPING DATA
ANALYTICS CAPABILITIES
CONFERENCE 2023
APRIL 2627, 2023
University of Georgia Center for Continuing Education & HotelSPONSORSHIP
OPPORTUNITIES
$$$10,0005,0001,500GOLD SPONSORSILVER
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01
Define the purpose of the analysis
02
Collect and organize the data
03
Clean and preprocess the data
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Choose the appropriate analysis techniques
05
Perform the analysis
06
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07
Communicate the findings
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What is introduction to data analysis?
Introduction to data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making.
Who is required to file introduction to data analysis?
Anyone involved in analyzing data for a specific purpose, such as data scientists, data analysts, business analysts, and researchers, may be required to file introduction to data analysis.
How to fill out introduction to data analysis?
Introduction to data analysis can be filled out by collecting relevant data, cleaning and organizing the data, performing analysis using statistical methods or software, and presenting the findings in a clear and concise manner.
What is the purpose of introduction to data analysis?
The purpose of introduction to data analysis is to gain insights, make informed decisions, identify patterns and trends, and solve complex problems using data-driven approaches.
What information must be reported on introduction to data analysis?
Information such as data sources, data cleansing techniques, analytical methods used, findings, conclusions, and recommendations must be reported on introduction to data analysis.
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