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Data Analytics has gained a lot of prominence in recent years due to the capture of consumer/customer data from every interaction of mobile/PCs. Firms want to leverage the data through in-depth analysis and solve key business questions like customer segmentation, customer retention/churn, product recommendations, etc. A range of tools can be used such as Excel, SPSS, SAS, R Programming, Python, and STATA to process and analyze the data.
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Data Analysis is the process of processing raw data into extra meaningful insights to aid business decision-making. Data analytics is a method to extract raw data using statistical tools and logic. Along with data extraction, it also involves data cleaning, rearranging, and analysis.
The data analysis process can be broken down into the following parts
Data analytics can be used in different applications including but not limited to –
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Listed below are 3 prominent data analysis techniques:
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The following are the tools used to carry out data analytics. These include
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Descriptive Analytics | Predictive Analytics |
Prescriptive Analytics | DataAnalysisTools-SAS, MATLAB, Minitab, SPSS |
Advanced Business Analytics | Segmentation and Clustering |
Big Data Analytics | Experimental design |
Analysis of variance | Regression Analysis |
Correlation | Data requirements |
Data Collection | Data Processing |
Data Cleaning | Exploring data analysis |
Algorithm and modeling | Data Mining |
Discretization | Cluster detection techniques |
Causal Inference | Complex Correlation |
Useful Patterns | Graph Summarization |
Significant Results | Data Analysis |
To write about Data Analysis Assignment Help, you must first go through the following steps:
Research the subject and be aware of the intricacies.
Identify any resources that can assist you in working more quickly.
Take some notes and jot down all of the important details on paper.
Provide examples to support each concept.
We covered everything from the Internet of Things (IoT) to Hyper Personalization, AI, Machine Intelligence (MI), Augmented Reality, Behavioral Analytics, Graph Analytics, Journey Sciences, and more. Our team is accessible to assist you with any topic relating to data analysis 24 hours a day, 7 days a week.
Text analysis, statistical analysis, and descriptive analysis are all examples of text analysis.
Data mining, data warehouses, data visualisation, data integration, causal inference, and graph summarization are all examples of data mining.
Data mining assignment assistance, data integration assignment assistance, data visualisation assignment assistance, and data modelling assignment assistance are all available.