There are five concise courses teaching you from basics of MapReduce and offline processing to the advances in real-time processing with applications in big scale machine learning. If you are looking for the ways to expand your knowledge in the field of data engineering / analysis on the big scale, then this specialization is just right up your street..
In comparison to existing online courses we would like to provide listeners with access to real computational cluster to expand their skills and knowledge.
Big data evolves so fast, that nobody can move with the same speed. Nobody can know everything about Big Data. For this reason we put together our big and all-round team. All together we can explain everything.
All-in-browser sandbox configuration for the best Big Data learning experience. You could study Big Data from any device with an Internet connection. Be it Windows, Linux, Mac OS, mobile or tablet device.
You have heard so much about HDFS, MapReduce, Spark and always wanted become familiar with these knew tools? Spot the opportunity to grasp the concise starting material. Why taking this course? Big Data Essentials: HDFS, MapReduce and Spark RDD
Working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. So, why strain yourself? Leave this job to Mapreduce and Spark and don't forget about high-level tools we're offering you.
Rapidly changing environment sets new rules and requires new knowledge. In order to be in the forefront you have to upgrade your skills regularly. Machine learning is an essential part of the knowledge that helps to maintain cornerstone in the contemporary world - data.
The question of freshness is the thorniest in the data world. Miss the beat forecasting traffic jams and you get nothing but angry customers. The price for the same delay predicting tsunami is even higher - people's lives.
Are you ready to close the loop on your Big Data skills and apply all the knowledge you got from the previous courses in the practice? Capstone project is the answer to your questions.
CEO at BigData Team (ex. Amazon AWS, Yandex, Rambler, Sberbank) Big Data Essentials: HDFS, MapReduce and Spark RDD
Chief Technical Officer, Evidently AI (ex. Chief Data Scientist, Mechanica AI, ex. head of Big Data Department at Yandex Data Factory, Rambler)
Senior Data Scientist at PulsePoint (ex. Rambler)
PhD, Senior SDE at Yandex (ex. Rambler)
Software Developer at Odnoklassniki (Mail.ru) (ex. Yandex)
Head of Machine Learning department at NVIDIA, Founder of Moscow Spark
Head of Research Team at Yandex
Team Lead of Software Development Team at Yandex
Senior Data Scientist, Veon
PhD, Skoltech
R&D team lead, Iponwe
PhD, Senior Researcher at Russian Academy of Sciences (RAS) (ex. expert at Yandex)
Teaching Assistant at ATP dept., MIPT Developer-Analyst at VicMan
Teaching assistant at ATP dept., MIPT, PhD student
Assistant at P.G. Demidov Yaroslavl State University, Senior SDE at Confirmit
Laboratory of Applied Mathematics, Institute of Mathematical Problems in Biology - branch of Keldysh Applied Mathematics Institute Departament of Algorithms and Programming Technologies, MIPT
Teaching Assistant at ATP dept., MIPT
Lead Software Engineer, Rambler&Co