This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class.

Join us ONLINE for an introductory course demo covering the Beginner's Guide to Data Science by NYC Data Science Academy Instructor Zeyu Zhang. The course demo will discuss the basics of data science tools and resources that you can use when you first introduce yourself to data science. Both, programmers who are looking to expand their data toolkit and non-programmers who do not have any coding experience, are invited to join. To take advantage of the hands-on portions of the lecture, it is recommended that students have installed Anaconda with Python 3.7. This session will also include a brief overview of the NYC Data Science Academy, including its data science Bootcamp and other course offerings. What to expect: In the first part of the info session, we will give you an overview of what makes NYC Data Science Academy different. You will learn how to prepare for the Bootcamp, what to learn, and application process. The information session will be as follows: 5:00 - 5:10 pm Introduction to NYC Data Science Academy and What We Do5:10 - 5:45 pm Data Science Tools with Zeyu Zhang5:45 - 6:00 pm Q&A and Mingling *Feel free to join 10 minutes before the session starts to make sure that you have everything all set. Register to the webinar today ▸Don’t miss our Website: https://nycdatascience.com/data-science-bootcamp/ About Zeyu Zhang Zeyu earned his master’s degree in Electrical Engineering at New York University. With a strong background in object-oriented programming and a solid understanding of machine learning algorithms, he helps virtual and physical machines evolve. Zeyu prides himself on being a versatile professional as he thrives on solving problems that require multiple skills, including Python, C++, R, SQL, C#, HTML/CSS, or JavaScript. At his leisure, he likes to swim to keep himself active since retiring from his short-lived amateur basketball career. About NYC Data Science Academy NYC Data Science Academy provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals. NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. We have graduated over 2000 students at this point! Pin Our Upcoming Events On Your Calendar! Join our Data Science or Data Analytics Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.com/data-science-bootcamp/)Classes start on November 8th! Apply by November 1st to secure your seat!

NYC Data Science Academy Alumnus, Alex Sigman, will share his experience changing his career to data science after graduating with a PhD in Music CompositionAbout this eventAlthough becoming qualified as a data scientist requires a set of core technical competencies, the educational and professional backgrounds of individuals entering the field have become increasingly diverse in recent years. This talk will address ways in which someone with a less typical profile can harness their knowledge and experience and build a career in data science. On Wednesday, Oct 13th at 3PM EST, NYC Data Science Academy Alumnus, Alex Signman will cover Topics such as: 1. Navigating the transition between academia and industry2. Finding the best-fit working environment and role3. Relevant professional development resources4. The day-to-day challenges encountered at an AI music technology startup This talk is non-technical. Some basic math, data science, and programming concepts will be referenced, but it's not critical for following the discussion. REGISTER NOW to receive the webinar link Check out our Courses: https://nycdatascience.com/data-science-bootcamp/ Agenda 3:00 pm - 3:05 pm Overview of the Academy 3:05 pm - 3:50 pm Hands-on workshop given by Dean 3:50 pm - 4:00 pm Q&A and more mingling About Alex Sigman With a unique background in music composition + technology, cognitive science, and data science, Sigman has been active internationally as an interdisciplinary composer, performer, researcher, software engineer, and educator. He earned undergraduate degrees in Music and Cognitive Science at Rice University and his doctorate in Music Composition at Stanford. Sigman was a Data Science Fellow at the NYC Data Science Academy in 2019. Sigman has published and presented extensively on a broad range of research topics, including music information retrieval, innovative auditory warning design, technical and aesthetic aspects of robot opera, and approaches to creative audiovisual media integration. Throughout his career, he has held diverse leadership roles, including being a founding faculty member and Music program director of the International College of Liberal Arts (iCLA) of Yamanashi Gakuin University in Kofu, Japan. Sigman is currently a research and development engineer at AIVA Technologies, an AI music technology startup based in Luxembourg. About NYC Data Science Academy NYC Data Science Academy provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities for data science professionals across all industries. NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. We have graduated over 2000 students at this point! Join our Data Science Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.com/data-science-bootcamp/) Classes start soon! Apply NOW and secure your seat!