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Data Analysis Important Topics Unit wise

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Unit 1: Introduction and Overview**    Data and Types of Measurement**   **Data:** Raw facts and figures collected for analysis.   **Types of Measurement Scales:**   1. **Nominal Scale** (Categories, e.g., Gender: Male/Female)   2. **Ordinal Scale** (Ordered categories, e.g., Ratings: Good, Better, Best)   3. **Interval Scale** (Equal intervals, no true zero, e.g., Temperature in °C)   4. **Ratio Scale** (True zero, e.g., Height, Weight)   Primary vs. Secondary Data**         |   Methods of Collecting Primary Data**   1. **Surveys** (Questionnaires, Interviews)   2. **Observations** (Direct or Participant Observation)   3. **Experiments** (Controlled studies)   4. **Focus Groups** (Group discussions)   Population vs. Sample**   - **Population:** Entire group under study.   - **Sample:** Subset of the...
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Data Analysis Unit 1&2

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  Data Analysis Syllabus   This course begins with some basic concepts and terminology that are fundamental to data analysis and inference. This course introduces the student to collection and presentation of data. It also discusses how data can be summarized and analysed for drawing statistical inferences. The students will be introduced to important data sources that are available and will also be trained in the use of statistical software to analyse data.   The main objectives of this course are: 1.     To know about the process of data collection and presentation.  2.     To learn the way of obtaining secondary data from various sources. 3.     To discover the technique of processing and analysing the data for drawing statistical inferences.   Learning Outcomes After completing this course you shall be able to: Understand the data, its types of measurement and collection. 1.  ...
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