ºÝºÝߣshows by User: archijain931 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: archijain931 / Thu, 09 Jan 2025 09:20:44 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: archijain931 SQL: Your Tool for Converting Raw Data to Insights /slideshow/sql-your-tool-for-converting-raw-data-to-insights/274756612 untitleddocument2-250109092044-df9a158f
SQL stands for Structured Query Language, and it’s the standard programming language used to interact with relational databases. Databases are where most of the raw data is stored, and SQL allows users to communicate with them. ]]>

SQL stands for Structured Query Language, and it’s the standard programming language used to interact with relational databases. Databases are where most of the raw data is stored, and SQL allows users to communicate with them. ]]>
Thu, 09 Jan 2025 09:20:44 GMT /slideshow/sql-your-tool-for-converting-raw-data-to-insights/274756612 archijain931@slideshare.net(archijain931) SQL: Your Tool for Converting Raw Data to Insights archijain931 SQL stands for Structured Query Language, and it’s the standard programming language used to interact with relational databases. Databases are where most of the raw data is stored, and SQL allows users to communicate with them. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/untitleddocument2-250109092044-df9a158f-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> SQL stands for Structured Query Language, and it’s the standard programming language used to interact with relational databases. Databases are where most of the raw data is stored, and SQL allows users to communicate with them.
SQL: Your Tool for Converting Raw Data to Insights from archijain931
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Exploratory Data Analysis_ Uncovering Patterns in Data.pdf /slideshow/exploratory-data-analysis-uncovering-patterns-in-datapdf/265557249 exploratorydataanalysisuncoveringpatternsindata-240119105010-046f4f10
Exploratory Data Analysis (EDA) serves as the compass that guides data scientists and analysts as they navigate the vast seas of data. It plays a pivotal role in fostering a deep understanding of data, unveiling hidden patterns, and shaping meaningful questions for further analysis. Importantly, EDA is not merely a preliminary step; it is an ongoing and iterative process that continually informs and steers data-driven decision-making. ]]>

Exploratory Data Analysis (EDA) serves as the compass that guides data scientists and analysts as they navigate the vast seas of data. It plays a pivotal role in fostering a deep understanding of data, unveiling hidden patterns, and shaping meaningful questions for further analysis. Importantly, EDA is not merely a preliminary step; it is an ongoing and iterative process that continually informs and steers data-driven decision-making. ]]>
Fri, 19 Jan 2024 10:50:10 GMT /slideshow/exploratory-data-analysis-uncovering-patterns-in-datapdf/265557249 archijain931@slideshare.net(archijain931) Exploratory Data Analysis_ Uncovering Patterns in Data.pdf archijain931 Exploratory Data Analysis (EDA) serves as the compass that guides data scientists and analysts as they navigate the vast seas of data. It plays a pivotal role in fostering a deep understanding of data, unveiling hidden patterns, and shaping meaningful questions for further analysis. Importantly, EDA is not merely a preliminary step; it is an ongoing and iterative process that continually informs and steers data-driven decision-making. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/exploratorydataanalysisuncoveringpatternsindata-240119105010-046f4f10-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Exploratory Data Analysis (EDA) serves as the compass that guides data scientists and analysts as they navigate the vast seas of data. It plays a pivotal role in fostering a deep understanding of data, unveiling hidden patterns, and shaping meaningful questions for further analysis. Importantly, EDA is not merely a preliminary step; it is an ongoing and iterative process that continually informs and steers data-driven decision-making.
Exploratory Data Analysis_ Uncovering Patterns in Data.pdf from archijain931
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Continuous Integration and Continuous Testing (CI/CT) /slideshow/continuous-integration-and-continuous-testing-cict/265350359 untitleddocument2-240112132301-b6a17553
Continuous Integration and Continuous Testing are not merely buzzwords; they are essential practices for modern software development. CI/CT accelerates development, enhances quality, and ultimately delivers better software to end-users. While implementing these practices may require some effort and cultural adjustments, the benefits they offer far outweigh the challenges. ]]>

Continuous Integration and Continuous Testing are not merely buzzwords; they are essential practices for modern software development. CI/CT accelerates development, enhances quality, and ultimately delivers better software to end-users. While implementing these practices may require some effort and cultural adjustments, the benefits they offer far outweigh the challenges. ]]>
Fri, 12 Jan 2024 13:23:01 GMT /slideshow/continuous-integration-and-continuous-testing-cict/265350359 archijain931@slideshare.net(archijain931) Continuous Integration and Continuous Testing (CI/CT) archijain931 Continuous Integration and Continuous Testing are not merely buzzwords; they are essential practices for modern software development. CI/CT accelerates development, enhances quality, and ultimately delivers better software to end-users. While implementing these practices may require some effort and cultural adjustments, the benefits they offer far outweigh the challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/untitleddocument2-240112132301-b6a17553-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Continuous Integration and Continuous Testing are not merely buzzwords; they are essential practices for modern software development. CI/CT accelerates development, enhances quality, and ultimately delivers better software to end-users. While implementing these practices may require some effort and cultural adjustments, the benefits they offer far outweigh the challenges.
Continuous Integration and Continuous Testing (CI/CT) from archijain931
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Ethical Considerations in Data Analytics /slideshow/ethical-considerations-in-data-analytics/265248354 untitleddocument1-240109091948-611c91f3
The age of data analytics has ushered in a wealth of opportunities for organizations and individuals to derive valuable insights from data. However, with great power comes great responsibility. Ethical considerations in data analytics have become increasingly important as the potential for misuse and privacy breaches has grown. In this article, we will explore the ethical challenges and principles that guide responsible data analytics, emphasizing the need for transparency, fairness, and accountability. ]]>

The age of data analytics has ushered in a wealth of opportunities for organizations and individuals to derive valuable insights from data. However, with great power comes great responsibility. Ethical considerations in data analytics have become increasingly important as the potential for misuse and privacy breaches has grown. In this article, we will explore the ethical challenges and principles that guide responsible data analytics, emphasizing the need for transparency, fairness, and accountability. ]]>
Tue, 09 Jan 2024 09:19:48 GMT /slideshow/ethical-considerations-in-data-analytics/265248354 archijain931@slideshare.net(archijain931) Ethical Considerations in Data Analytics archijain931 The age of data analytics has ushered in a wealth of opportunities for organizations and individuals to derive valuable insights from data. However, with great power comes great responsibility. Ethical considerations in data analytics have become increasingly important as the potential for misuse and privacy breaches has grown. In this article, we will explore the ethical challenges and principles that guide responsible data analytics, emphasizing the need for transparency, fairness, and accountability. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/untitleddocument1-240109091948-611c91f3-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The age of data analytics has ushered in a wealth of opportunities for organizations and individuals to derive valuable insights from data. However, with great power comes great responsibility. Ethical considerations in data analytics have become increasingly important as the potential for misuse and privacy breaches has grown. In this article, we will explore the ethical challenges and principles that guide responsible data analytics, emphasizing the need for transparency, fairness, and accountability.
Ethical Considerations in Data Analytics from archijain931
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https://public.slidesharecdn.com/v2/images/profile-picture.png I am a Digital Marketer, I am Archi I enjoy technical and non-technical writing. My passion and urge to gain new insights into lifestyle, Education, and technology. I am a dynamic and responsive girl who thrives on adapting to the ever-changing world. uncodemy.com/course/full-stack-development-training-course-in-chandigarh/ https://cdn.slidesharecdn.com/ss_thumbnails/untitleddocument2-250109092044-df9a158f-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/sql-your-tool-for-converting-raw-data-to-insights/274756612 SQL: Your Tool for Con... https://cdn.slidesharecdn.com/ss_thumbnails/exploratorydataanalysisuncoveringpatternsindata-240119105010-046f4f10-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/exploratory-data-analysis-uncovering-patterns-in-datapdf/265557249 Exploratory Data Analy... https://cdn.slidesharecdn.com/ss_thumbnails/untitleddocument2-240112132301-b6a17553-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/continuous-integration-and-continuous-testing-cict/265350359 Continuous Integration...