Hello! My name is Mercedez, but I also go by Sadie, and it is much easier to write "Sadie's Blog" rather than "Mercedez's Blog". I enjoy watching all kinds of TV shows, and lots of movies too! I love spending time with my dog, Tommy, and shopping, but I am trying to work on being better with my money. I am looking forward to learning more about AI, and I'm hoping it'll be helpful to me in my future career! I don't have much experience with AI, so it's all exciting and new to me!
This week chapters 1, and 2 in the "Discovering Data" were assigned this week. Chapter 1 of the book explains how analyzing, interpreting, and presenting data are essential skills needed for organizations, and individuals in an organizations should possess those skills for the organization to run well. If a person does possess those skills, they are likely in high demand. These skills are so important because of the data in the world, and the ability to use that data is important. Many different industries use data, some uses of it would be decision-making, market analysis, customer segmentation, risk management, and performance measurement. Since data is so important to so many different industries there have been jobs made focusing on data collection. Some of those jobs would be data analysis, data scientist, data engineers, and data intelligence analysts. These jobs focus on using data to improve efficiency, optimize operations, and improve growth within a business. Chap...
This week chapters 3 and 4 were assigned. Chapter 3 focused on understanding where data comes from, the types of data, and how it is managed. Data is sourced from internal or external sources. Internal sources are within the organization, like sales data, or employee data, while external sources are from outside of the organization, Like social media platforms, or research firms. Some ways that data is collected is with surveys and questionnaires, getting data from websites, sharing data through systems and applications, and collecting data through sensors. The quality of data matters. The accuracy, complete Ness, consistency, timelines, and relevance are all important to the quality of data collected. Chapter 4 introduced data pipelines, warehousing, and modern data infrastructure. Data pipelines are series of steps, which move data to a data warehouse from its original source. The function of a pipeline is to extract data, change it into a usable, format, and load it into storag...
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