deepaverma
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Python is a versatile and powerful programming language known for its simplicity and readability. He...· Jun 4
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| Real name | deepaverma |
| Gender | Female |
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| Join Date | 07/10/2023 |
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deepaverma posted a forum topicUnlock the Important factor of Data AnalyticsData Analytics involves examining, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-...Oct 280 -
deepaverma posted a forum topicDescribe the beneficial Points of Machine LearningMachine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms that enable computers to learn from and ...Aug 130
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deepaverma posted a forum topicBeneficial Points of Machine LearningMachine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms that enable computers to learn from and ...Aug 50
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Data analytics examines data sets to draw conclusions about the information they contain. This process is typically performed with specialized software and tools. Data analytics is crucial for businesses and organizations because it provides insights to drive better decision-making, improve efficiency, and gain a competitive edge. Here’s a comprehensive overview of data analytics:
Types of Data Analytics
Descriptive Analytics
Purpose: To understand what has happened in the past.
Techniques: Data aggregation and data mining.
Tools: Reporting tools, dashboards, and visualization tools (e.g., Tableau, Power BI).
Example: Summarizing sales data to identify trends and patterns.
Diagnostic Analytics
Purpose: To understand why something happened.
Techniques: Drill-down, data discovery, and correlations.
Tools: Statistical analysis software (e.g., SAS, SPSS).
Example: Analyzing customer feedback to determine the cause of a drop in sales.
Predictive Analytics
Purpose: To predict what is likely to happen in the future.
Techniques: Machine learning, forecasting, and statistical modeling.
Tools: Python, R, machine learning frameworks (e.g., Scikit-learn, TensorFlow).
Example: Predicting customer churn based on historical data.
Prescriptive Analytics
Purpose: To recommend actions to achieve desired outcomes.
Techniques: Optimization, simulation, and decision analysis.
Tools: Advanced analytics software (e.g., IBM Decision Optimization, Gurobi).
Example: Recommending the best marketing strategy to increase customer engagement.
Data Analytics Process
Data Collection
Gathering data from various sources such as databases, APIs, logs, and sensors.
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deepavermaData analytics examines data sets to draw conclusions about the information they contain. This proce...Jun 220
deepaverma posted a forum topicBeneficial Points of Machine LearningMachine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms that enable computers to learn from and ...Jun 200
deepaverma posted a forum topicHow Data Analytics useful for future?Data analytics is examining data sets to draw conclusions about the information they contain. This process is typically performed with specialized sof...Jun 120
deepaverma created a new blog postImportant Factor of Python Programming LanguagePython is a versatile and powerful programming language known for its simplicity and readability. Here's a brief overview:General purpose: Python can ...Jun 40 0You need to sign in to comment
deepaverma posted a forum topicWhat are the basic points of Python?Python is a versatile and powerful programming language known for its simplicity and readability. Here's a brief overview:General purpose: Python can ...May 310
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deepavermaPython is a versatile and powerful programming language known for its simplicity and readability. He...May 40
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