Question 1OverviewNow that you have been introduced to the Kaggle platform, you can pause for a moment and apply what you are learning. In this self-reflection, you will consider your thoughts about your online presence and respond to brief questions. This self-reflection will help you develop insights into your own learning and prepare you to connect your knowledge of Kaggle to your goals for your online presence. As you answer questions—and come up with questions of your own—you will consider concepts, practices, and principles to help refine your understanding and reinforce your learning. You’ve done the hard work, so make sure to get the most out of it: This reflection will help your knowledge stick! Get social on KaggleAs you get more familiar with the career options available to data analysts, you’ll find that it’s important to have an online presence. By engaging with the data community online, you can ask questions, learn new skills, and demonstrate your achievements to potential employers. You’ve already covered several ways that you can build your online presence, from LinkedIn to GitHub to Medium. To develop a stronger connection to the data community and interact with fellow data professionals and enthusiasts, you can also build an online presence on Kaggle.In addition to datasets, Kaggle has micro-courses, competitions, forums, and a large community of users. With the Kaggle Progression System, you track your progress and growth within the platform and demonstrate your data skills and savvy to employers and colleagues.Profile featuresTo start on Kaggle, you should set up a profile. Your Kaggle profile page is a collection of all of your work and accomplishments on Kaggle. Check out an example profile page to explore how a profile can be used to share information: Heads or TailsAs you browse the Kaggle profile for Heads or Tails, you can also observe the work they did to reach high ranks in each category. They also include links. For example, they include a link from their profile to their personal blog and videos. This allows them to share their Kaggle profile with prospective employers in order to highlight their skills and progress.Building up your Kaggle profile, or any other form of social media presence, takes time. Being patient with your progress and engaging consistently will draw more attention to your work.Before moving into the next section, take a few minutes to look at different Kaggler profiles, and think about what they’re doing that inspires you. If you encounter a profile of someone whose work you’d like to follow, click the Follow User button on their profile.How to get startedTo make it easier to get started on Kaggle, begin by reviewing how the Kaggle community operates. You can do this by reading through their  Community Guidelines  and checking out their  Getting Started on Kaggle YouTube playlist. Then, spend time exploring through the  Kaggle Winner's blog posts  and checking out the  Learn  section. When you are ready to reflect, copy the url of a blog post that resonates with you, and be ready to share it in the upcoming discussion activity.ReflectionConsider Kaggle’s community features and how you might use social media yourself:How might you use interactive notebooks and the data community (specifically the curated blog posts and learn section) to expand your understanding of real-world data sets? How can you use Kaggle to help improve your social media impact and meet your professional goals, and how could your impact compare to the goals outlined in the chosen blog article?Imagine your ideal data analyst social media presence. What would you like to put on your profile? What type of data set would you like to create and share through your Kaggle profile?Reflect on your professional social media goals and think about how you can enhance your Kaggle profile to establish an online presence.Now, paste the url address of the blog for reference and write 2-3 sentences (40-60 words) in response to each of these questions. Type your response in the text box below.