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Browse CoursesData analysis is the practice of working with data to glean useful information, which can then be used to make informed decisions.
By : MEHDI OUMOUSS OUMOUSS
Learn how to play with data and visualize it using Spotfire a very powerful data viz ...
4.3 58015
2:27:31 hrs 23 lectures Beginner Level
By : Ross Maynard
Getting to the heart of performance data...
4.7 48087
1:53:59 hrs 21 lectures All Level
By : Datahill Solutions
Analyze data quickly and easily with Python's powerful numpy and pandas libraries...
4.5 9368
8:15:43 hrs 19 lectures All Level
By : Datahill Solutions
Data Extraction from different formats like csv, excel, url, databases, etc using Pyt...
4.7 79576
6:7:19 hrs 11 lectures All Level
By : Vardges Zardaryan
Unlock the power of Excel to utilize its analytical tools from Vlookup to Power Table...
4.9 57619
4:52:5 hrs 61 lectures All Level
By : Phikolomzi Gugwana
Learn how to clean data the right way....
4.7 79454
25 lectures Beginner Level
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Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.
In business, data analysis helps identify trends, patterns, and insights from data. It informs strategic decision-making, improves efficiency, and guides business operations.
Data visualization involves presenting data graphically. It aids in interpreting complex information, identifying patterns, and communicating insights effectively.
In research, data analysis helps researchers draw valid conclusions from their findings. It provides a systematic approach to interpreting data, validating hypotheses, and supporting research outcomes.
EDA plays a crucial role in data analysis by uncovering patterns, trends, and anomalies in the initial stages of investigation. It helps analysts form hypotheses, identify outliers, and make informed decisions on further analysis techniques.