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PROCESS OF DATA SCIENCE

Data science is one of the fastest-growing and most in-demand fields in the contemporary economy because of demand, problem-solving, and knowledge shortages. A data scientist might potentially be anyone with the expertise. No of your sector, taking a data science course in Mumbai might help you develop the skills necessary to use data science and achieve an IBM certification.<br><br><br>

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PROCESS OF DATA SCIENCE

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  1. PROCESS OF DATA SCIENCE WWW.LEARNBAY.CO

  2. WHAT IS DATA SCIENCE Data science is the study of how to extract useful information from data for business decision-making, strategic planning, and other purposes by using cutting-edge analytics tools and scientific concepts.

  3. BUSINESS UNDERSTANDING TABLE OF DATA UNDERSTANDING DATA SCIENCE PROCESS MODELING DATA PREPRATION EVAULATION DEPLOYMENT WWW.learnbay.co

  4. BUSINESS UNDERSTANDING We need to gather as much information as we can to develop our data science project because business knowledge is the process of understanding how our data science project affects the business. In actual companies, we could always speak with the user to get a better understanding.

  5. DATA UNDERSTANDING The following are the goals of data understanding: Recognize the characteristics of the data. Create a summary of the data by highlighting important elements like data volume and the total number of variables. Recognize the issues with the data, including missing numbers, errors, and outliers

  6. DATA PREPRATION Cleaning and converting raw data before processing and analysis are known as data preparation. Prior to processing, it is a crucial phase that frequently entails data reformatting, data corrections, and the mixing of data sources to enhance data.

  7. MODELING The act of creating a descriptive picture of the connections between different types of information that will be kept in a database is known as data modeling. Finding the most effective way to store data while yet enabling full access and reporting is one of the objectives of data modeling.

  8. EVALUATION Data science's potential to bolster health systems and enhance monitoring and assessment was examined by MEASURE Evaluation. A health system cannot function well without data. Globally, the development of data infrastructures has advanced significantly during the past ten years.

  9. DEPLOYMENT In data science, the term "deployment" refers to the use of a model to make predictions using fresh data. Typically, a project doesn't finish with the construction of a model.

  10. THANK YOU For more information WWW.LEARNBAY.CO

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