Data analysis is the process of collecting, cleansing, interpreting, transforming and modeling data to gather insights and generate reports to gain business profits. Refer to the image below to know the various steps involved in the process.

Fig 1: Process of Data Analysis — Data Analyst Interview Questions

  • Collect Data: The data gets collected from various sources and is stored so that it can be cleaned and prepared. In this step, all the missing values and outliers are removed.
  • Analyse Data: Once the data is ready, the next step is to analyze the data. A model is run repeatedly for improvements. Then, the model is validated to check whether it meets the business requirements.
  • Create Reports: Finally, the model is implemented, and then reports thus generated are passed onto the stakeholders.

Originally published at https://comingfly.blogspot.com.

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1. Data science helps brands to understand their customers in a much enhanced and empowered manner. 2. It allows brands to communicate their story in such a engaging and powerful manner. 3. Big Data is a new field that is constantly growing and evolving. 4. Its findings and results can be applied to almost any sector like travel, healthcare and education among others. 5. Data science is accessible to almost all sectors

Originally published at https://comingfly.blogspot.com.

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What is MYSQL?

MySQL was one of the first open-source databases available in the market. Today there are many alternatives variants of MySQL,. However, the differences between the variants are not significant as they use the same syntax, and basic functionality also remains the same.

MySQL is an RDBMS that allows keeping the data that exists in a database organized. MySQL is pronounced as “My S-Q-L,” but it is also called “My Sequel.” It is named after co-founder Michael Widenius’ daughter. MySQL provides multi-user access to databases. This RDBMS system is used with the combination of PHP and Apache Web Server, on top of a Linux distribution. MySQL uses the SQL language to query the database.

Originally published at https://comingfly.blogspot.com.

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