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Introduction to Data Analysis

  1. What is Data Analysis? Data Analysis is the process of collecting, cleaning, transforming, and interpreting data to discover useful information, draw conclusions, and support decision-making. It helps organizations understand patterns, trends, and insights hidden within data. In simple terms, data analysis turns raw data into meaningful insights. 2. Types of Data Data can be categorized into different types based on its nature: • Qualitative Data Non-numerical data Describes qualities or characteristics Examples: Gender, color, customer feedback • Quantitative Data Numerical data Can be measured and analyzed statistically Examples: Age, income, sales numbers • Discrete Data Countable values Examples: Number of students, number of products sold • Continuous Data Measurable values within a range Examples: Height, weight, temperature 3. Tools Used by Data Analysts Data analysts use various tools to work efficiently with data: Excel – Basic data analysis, calculations, and visual...
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My Journey to Becoming a Data Analyst

Hello! My name is Vidubha Sankha. I am currently on my journey to becoming a data analyst. I am passionate about working with data and turning information into meaningful insights that help in decision-making. I chose data analytics because I enjoy working with numbers, patterns, and problem-solving. I find it interesting how data can tell a story and help businesses make better decisions. This field also has strong career opportunities and is growing rapidly. I am currently learning the following tools and technologies: Python for data analysis and visualization SQL for database management and queries Excel for data cleaning and reporting Power BI for interactive dashboards. These skills are helping me understand how to work with real-world data. My short-term goal is to become a junior data analyst. My long-term goal is to grow into a senior data analyst or data scientist, where I can work on large datasets and help businesses make data-driven decisions.
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