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These are the user uploaded subtitles that are being translated: 1 00:00:00,971 --> 00:00:02,352 Hi, I'm Tiffany and 2 00:00:02,352 --> 00:00:06,591 I lead teams focused on building AI responsibly here at google. 3 00:00:06,591 --> 00:00:10,091 I've served in the United States Army, worked as a consultant and 4 00:00:10,091 --> 00:00:14,110 have worked as a program manager in privacy and machine learning fairness. 5 00:00:14,110 --> 00:00:14,663 Data and 6 00:00:14,663 --> 00:00:19,963 having a rich understanding of data has always been an important part of my job. 7 00:00:19,963 --> 00:00:25,119 Today, we have more data available to us than ever before and it's important to be 8 00:00:25,119 --> 00:00:30,372 able to derive insights to help decision makers make the best possible decisions. 9 00:00:30,372 --> 00:00:33,757 I'm so glad you're here and I really hope this program is to give 10 00:00:33,757 --> 00:00:36,465 you all kinds of new possibilities to think about. 11 00:00:36,465 --> 00:00:38,737 You've already learned so much. 12 00:00:38,737 --> 00:00:42,752 We've covered the basics of data driven fields and looked at career roles. 13 00:00:42,752 --> 00:00:46,421 How data professionals are being used by different industries and 14 00:00:46,421 --> 00:00:49,575 how those in the field can make a valuable contribution. 15 00:00:49,575 --> 00:00:54,553 You're gaining a vast range of knowledge and skills which is going to be extremely 16 00:00:54,553 --> 00:00:59,325 valuable as you prepare to join us in the amazing field of data driven careers. 17 00:00:59,325 --> 00:01:04,187 At this point in the program, I encourage you to take some time to reflect on 18 00:01:04,187 --> 00:01:08,448 how your experiences so far are setting you up for a great career. 19 00:01:08,448 --> 00:01:12,286 And one way to do that is by enhancing your current online presence. 20 00:01:12,286 --> 00:01:17,050 In the google data analytics certificate, we covered numerous job related materials, 21 00:01:17,050 --> 00:01:20,683 including how to create an effective resume and LinkedIn profile. 22 00:01:20,683 --> 00:01:25,071 This video is about improving your existing career assets. 23 00:01:25,071 --> 00:01:28,742 Those of us who were involved in the google data analysis certificate, 24 00:01:28,742 --> 00:01:30,946 always love receiving learner feedback, 25 00:01:30,946 --> 00:01:34,755 especially when it has to do with someone else's professional success. 26 00:01:34,755 --> 00:01:39,043 I remember one person who took the initiative to refine her linkedin profile 27 00:01:39,043 --> 00:01:40,922 as soon as she began the program. 28 00:01:40,922 --> 00:01:44,449 She noted that she was currently working through her program and 29 00:01:44,449 --> 00:01:48,837 she added to her profile many of the technologies she had become familiar with. 30 00:01:48,837 --> 00:01:53,004 Well not long after she saw an advertisement for her dream job, 31 00:01:53,004 --> 00:01:57,799 even though she was early on in her DA education, she decided to apply for 32 00:01:57,799 --> 00:01:58,989 it and she got it. 33 00:01:58,989 --> 00:02:03,915 The hiring manager told her that the fact that she had familiarity with those data 34 00:02:03,915 --> 00:02:07,184 tools, really set her apart from other candidates. 35 00:02:07,184 --> 00:02:11,349 There are tons of stories just like this one that proved the value of having 36 00:02:11,349 --> 00:02:14,319 a compelling and professional linkedin presence. 37 00:02:14,319 --> 00:02:16,701 So let's get into that now. 38 00:02:16,701 --> 00:02:20,677 A professional online presence enables you to better connect with others in 39 00:02:20,677 --> 00:02:21,307 the field. 40 00:02:21,307 --> 00:02:23,891 You can share ideas, ask questions or 41 00:02:23,891 --> 00:02:28,831 provide links to a useful website or an interesting article in the news. 42 00:02:28,831 --> 00:02:32,902 These are great ways to meet other people who are passionate about data 43 00:02:32,902 --> 00:02:33,803 focused jobs. 44 00:02:33,803 --> 00:02:36,588 Even if you're already part of the community, 45 00:02:36,588 --> 00:02:39,799 strengthening your network makes it even more dynamic. 46 00:02:39,799 --> 00:02:43,072 LinkedIn is an amazing way to follow industry trends. 47 00:02:43,072 --> 00:02:47,533 Learn from thought leaders and stay engaged with the global data analytics 48 00:02:47,533 --> 00:02:52,347 community and of course it has job boards and recruiters who are actively looking 49 00:02:52,347 --> 00:02:56,701 for data professionals for all sorts of organizations and industries. 50 00:02:56,701 --> 00:02:59,912 So it's a good idea to always keep your profile up to date and 51 00:02:59,912 --> 00:03:02,300 to be sure to include a professional photo. 52 00:03:02,300 --> 00:03:06,713 Beyond that, consider including a link to some of the relevant projects you've done 53 00:03:06,713 --> 00:03:07,754 in data analytics, 54 00:03:07,754 --> 00:03:11,267 such as the portfolio project you'll work on during this program. 55 00:03:11,267 --> 00:03:14,832 As you continue expanding your online presence to represent the work 56 00:03:14,832 --> 00:03:17,904 you're doing in data analytics, the connections you make 57 00:03:17,904 --> 00:03:22,033 will be an important part of having a truly fulfilling networking experience. 58 00:03:22,033 --> 00:03:26,845 Plus, there are also many rewarding in person networking opportunities which 59 00:03:26,845 --> 00:03:28,076 will explore soon. 60 00:03:28,076 --> 00:03:31,174 See you then.5583

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