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INTRODUCTION TO DATA ANALYTICS

 

                                               

   "Data analytics turns raw data into useful insights".


Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to find patterns, answer questions, and support decision-making.

In today’s world, data is generated everywhere — from online shopping and social media to banking, healthcare, and education. However, raw data on its own has no value unless it is properly analyzed. This is where data analytics plays an important role.

 How Data Analytics Works:

The process of data analytics usually involves the following steps:

  1. Data Collection
    Data is gathered from different sources such as databases, spreadsheets, surveys, or online platforms.

  2. Data Cleaning
    Raw data often contains errors, missing values, or duplicates. Cleaning the data ensures accuracy and reliability.

  3. Data Analysis
    The cleaned data is analyzed using tools like Excel, SQL, Python, and statistical methods to identify trends and relationships.

  4. Data Visualization
    Results are presented using charts, graphs, and dashboards to make insights easy to understand.

  5. Decision Making
    The insights gained help businesses and organizations make informed decisions instead of relying on guesswork.




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