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    deepaverma posted a forum topic
    Important factor of Power Bi
    Power BI is a powerful business intelligence and data visualization tool developed by Microsoft. Its importance in today's business landscape cannot b...
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  • deepaverma
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    Unlock the Important factor of Data Analytics
    Data Analytics involves examining, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-...
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  • deepaverma
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    Describe the beneficial Points of Machine Learning
    Machine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms that enable computers to learn from and ...
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  • deepaverma
    deepaverma posted a forum topic
    Beneficial Points of Machine Learning
    Machine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms that enable computers to learn from and ...
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  • deepaverma
    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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    Delta airlines office nyc
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    deepaverma
    Data analytics examines data sets to draw conclusions about the information they contain. This proce...
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  • deepaverma
    deepaverma posted a forum topic
    Beneficial Points of Machine Learning
    Machine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms that enable computers to learn from and ...
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  • deepaverma
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    How 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...
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  • deepaverma
    deepaverma created a new blog post
    Important Factor of Python Programming Language
    Python is a versatile and powerful programming language known for its simplicity and readability. Here's a brief overview:General purpose: Python can ...
    Jun 4 '24
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  • deepaverma
    deepaverma posted a forum topic
    What 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 ...
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