Hi guys, so now we will fill out ds-160 I already made a video how to fill out this 160 before but in Tagalog and some of my viewers don't understand it that's why I need to make another one in English first Sean so let's start, so you have to go to Google and then type the s 160 and then as you can see in here this one sits the conelectronic application Center you have to click this one, and you will see on your screen, so it's like this u.s. Department of State conelectronic application Center applies for a non-immigrant visa so for a select a location where you will be applying for this visa so of course this is where you stay and where you apply your visa so since I stayed in the Philippines before I need to click in your Filipinas Philippines manila ok and then enter the code shown okay and then after that this visa application will ask you to upload a digital photo of yourself, so I will show you how to upload your photo because most of my viewers they told me that they cannot upload their photo, so I will try, and I will do my best so test photo okay, so you have to upload your photo first you have to choose the file okay and then choose a photo then open and then okay, so you have to click upload selected photo so photo past quality standard okay I did not expect that so okay Wow so this photo I just kind a two five two by two passport photo and then save it to my desktop and then that's it okay so let's check because I did before okay continue using this photo okay, so I...
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How to prepare DS-2021-2024
About DS-2016-2024
DS-2016 to 2024 is a time period that indicates the years between 2024 and 2019. DS refers to "data science," a multidisciplinary field that combines scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. During this time frame, data science experienced significant growth and development, with various advancements in machine learning, artificial intelligence, and big data analytics. Many industries and sectors can benefit from data science during this period. Some notable beneficiaries include: 1. Technology Companies: Technology giants like Google, Facebook, Amazon heavily rely on data science for various applications, such as recommendation systems, natural language processing, fraud detection, and user behavior analytics. 2. Financial Services: Banks, insurance companies, and other financial institutions use data science for credit scoring, risk assessment, fraud prevention, algorithmic trading, and customer segmentation. 3. Healthcare: Data science plays a crucial role in healthcare, aiding in disease diagnosis, personalized medicine, drug discovery, patient monitoring, and clinical trial analysis. 4. Retail and E-commerce: Companies in these domains utilize data science to understand customer behavior, optimize pricing strategies, improve inventory management, and enhance targeted marketing campaigns. 5. Manufacturing and Supply Chain: Data science helps optimize production processes, predict equipment failures, manage supply chains efficiently, and reduce costs through demand forecasting. 6. Transportation and Logistics: This sector employs data science for route optimization, predictive maintenance of vehicles, demand forecasting, and automated logistics management. 7. Government and Public Sector: Governments often utilize data science for data-driven policy making, crime pattern analysis, citizen services improvement, and traffic management. 8. Education: Data science in education involves student performance analysis, personalized learning paths, recommendation systems, and early warning systems for identifying struggling students. Overall, DS-2016 to 2024 represents a period of rapid growth in data science adoption across a wide range of industries, as organizations recognize the value of data-driven decision-making and insights derived from vast amounts of data.
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