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DS - U3 - DECODE

Based on the extracted content from the textbook PDF, here are the important questions for Unit 3: Data Analytics and Lifecycle.

Unit 3: Data Analytics and Lifecycle

Important Questions:

  1. Data Analytics Lifecycle:

    • What are the key stages of the data analytics lifecycle? Describe each stage in detail.
    • Explain the importance of the data preparation phase in the data analytics lifecycle.

  2. Data Collection:

    • Discuss the various methods of data collection. What are the advantages and disadvantages of each method?
    • How do you ensure data quality during the data collection process?

  3. Data Cleaning:

    • What are common data cleaning techniques? Provide examples of how each technique can be applied.
    • Describe the challenges faced during the data cleaning process and how to address them.

  4. Data Transformation:

    • Explain the concept of data transformation and its significance in data analytics.
    • What are the different techniques used for data transformation? Provide examples.

  5. Exploratory Data Analysis (EDA):

    • What is exploratory data analysis (EDA) and why is it important?
    • Describe the various techniques used in EDA. How do they help in understanding the data?

  6. Data Integration:

    • Discuss the challenges of data integration and the methods to overcome them.
    • How do you handle data from different sources during the integration process?

  7. Data Reduction:

    • What is data reduction? Explain its importance in the data analytics lifecycle.
    • Describe the techniques used for data reduction. How do they impact the analysis process?

  8. Data Analysis:

    • What are the different types of data analysis techniques? Provide examples of when each type is used.
    • How do you choose the appropriate data analysis technique for a given problem?

  9. Data Interpretation:

    • Explain the process of data interpretation and its significance in deriving insights.
    • Discuss the common pitfalls in data interpretation and how to avoid them.

  10. Data Visualization:

    • What are the principles of effective data visualization?
    • Describe the different types of data visualization tools and their use cases.

These questions cover the essential concepts and practices involved in the data analytics lifecycle, ensuring a comprehensive understanding of the unit. If you need further details or additional questions on specific topics, please let me know!

A - DS - U3 - DECODEA - DS - U3 - DECODEBased on the important questions provided for Unit III: Data Analytics and Lifecycle, here are comprehensive answers to ensure a deep understanding of each topic: Unit 3: Data Analytics and Lifecycle 1. Data Analytics Lifecycle Key Stages of the Data Analytics Lifecycle: 1. Discovery: * Understand the business problem and objectives. * Identify data sources and assess their availability. * Formulate initial hypotheses and create a project plan. 1. Data Preparation: * Collect rele