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MM - Explain Data Analytics life cycle with the help of diagram.

Creating a mind map for the Data Analytics Lifecycle can be an effective way to organise and recall the key concepts and steps involved. Here are some keywords and short sentences to consider for each phase of the lifecycle:

1. Problem Definition

  • Define Problem: What is the business issue?
  • Stakeholder Requirements: Who are the stakeholders and what do they need?
  • Scope and Objectives: What are the boundaries and goals of the project?

2. Data Preparation

  • Data Collection: Sources of data.
  • Data Cleaning: Handle missing values, outliers.
  • Data Integration: Combining data from various sources.
  • Data Transformation: Normalisation, encoding.

3. Data Exploration/Analysis

  • Statistical Analysis: Descriptive statistics, hypothesis testing.
  • Data Visualisation: Charts, graphs, heat maps.
  • Pattern Identification: Trends, correlations, anomalies.

4. Model Planning and Building

  • Model Selection: Choosing the right algorithms.
  • Model Training: Training data sets, cross-validation.
  • Model Testing: Accuracy, precision, recall.

5. Communication of Results

  • Reporting: Structured reports, key findings.
  • Visualisation: Dashboards, infographics.
  • Stakeholder Presentation: Tailored for decision-making.

6. Operationalisation

  • Deployment: Integrating models into business processes.
  • Automation: Streamlining operations.
  • Monitoring: Ongoing performance checks.

7. Feedback and Iterations

  • Feedback Collection: User feedback, performance data.
  • Model Refinement: Tweaking models based on feedback.
  • Iterative Development: Continuous improvement cycle.

General Concepts

  • Interactivity: Ensure the map allows exploring connections between elements.
  • Iteration: Highlight the iterative nature of the process.
  • Feedback Loops: Connect feedback directly to earlier stages like model planning or data preparation.

These keywords and phrases should provide a solid foundation for developing a comprehensive mind map of the Data Analytics Lifecycle. You can organise these in a hierarchical or network-based structure depending on what visual arrangement best aids your recall and understanding.