Career Panel: Break into Analytics & Data Science скачать в хорошем качестве

Career Panel: Break into Analytics & Data Science

Are you looking to move into a new career? Uncertain times have you wondering about the future? How about data science or analytics? With the explosion in personalized online experiences, user-generated data, and businesses wanting to deliver the right products, data analytics and data science has exploded as a career path — with 39% more jobs according to IBM. With a median starting salary of $95,000 and a mid-career salary well into the six-figure range, you not only have the opportunity to learn new skills, but also achieve financial freedom. Albert's List is a social community focused on connecting 51,000+ job seekers, recruiters, and hiring managers—with lots of data scientist jobs posted over the past 7 months. We've teamed up with LearnAnalytics.org, a data science education company to bring you a panel of data scientists who will share their career journey as well as help you move into data science as a career. This 90-minute webinar features information around: Why data science is THE field to be in right now. What is data science, what do data scientists / analytics professionals do, and what skills are required for success in the industry? What are the transferrable skills that you can take from what you do now into data science? How to network within the industry and break-in. And much more! This event will be hosted and moderated by Jackson Au of LearnAnalytics.org and sponsored by Albert's List. Come with your questions and curiosity. ABOUT THE PANEL Sarah Mayer Platt has worked in healthcare for almost ten years in the clinical setting, research, and most recently, in health tech & biotechnology. Sarah is a Data Partnerships Lead at Tempus, a precision medicine startup in Chicago, IL. When she isn’t volunteering at Alive Animal Rescue, Sarah enjoys encouraging and mentoring others pursuing nontraditional paths in healthcare or data analytics. Having strong technology acumen in consulting, healthcare, and tech, Harry Lu is currently a Data Analytics Manager at Spotify who drives data science initiatives in compliance and finance functions. He is enthusiastic about machine learning, quantitative research, and statistical modeling to discover insights from various data and connect business and technology. Jennifer Siwu is a Machine Learning Enthusiast and Analytics Professional with three years of experience working within the e-commerce industry with domain expertise in supply chain and customer analytics. Currently, Jennifer is working as a Data Scientist for the Shopping Intelligence team at Petco e-commerce. Jennifer is passionate in leveraging data and statistical methodologies to analyze areas of improvement, root cause issues, test hypotheses, and identify optimal solutions for decision makers. Mikiko Bazeley is a data scientist turned machine learning engineer with more than five years of experience delivering analytics solutions and data products for a variety of industries (including health-tech, solar, construction, digital adoption, and more). She’s currently finishing up a role as a Data Scientist focused on Growth Marketing for Livongo/Teladoc. In the upcoming months she’ll be focused on launching a start-up in the real estate space & publishing books for the aspiring (and established) data scientist segments. ABOUT THE MODERATOR Jackson Au is a data professional with six years of experience in the healthcare and education spaces. He currently works as a Data Scientist at West Coast University, spending the majority of his time bettering the student experience through data discovery and statistical methods. You’ll often find him creating content for LearnAnalytics.org because he has a deep passion for helping and mentoring others in their data journey! #DataScience #DataAnalytics #CareerPath #JobSeekers #Recruiters #HiringManagers #DataScientistJobs #LearnAnalytics #Panel #Skills #Network #MachineLearning #StatisticalModeling #QuantitativeResearch #Insights #DataPartnerships #Healthcare #Biotechnology #Ecommerce #Webinars