Data Science is one of the most trending technologies at the intersection of mathematics, programming and business. YouTube video recommendations, machine translation, news aggregators, medical diagnostics, spam detection, credit scoring, self-driving cars – this is not even a complete list of areas where Data Science has become or is gradually becoming a part of our everyday lives.
TRAINING PROCESS
The program lasts 20 weeks and embraces self-study training with lectures, practical homework and weekly Q&A sessions. You will work closely with our experienced trainers and mentors, who will navigate you through 12 educational modules. They focus on the practical study of Machine Learning algorithms using Python packages such as Pandas, NumPy, Sklearn, Gensim, NLTK and others.
The training begins with basic engineering, installation and configuration of the Python environment. The main concepts are reinforced with a brief review of basic statistics. Then, as the first and most important step in any Data Science problem, students begin to work on data exploration.
The following modules are dedicated to the classification problem, where we will provide you with some text processing tips. At the end of this training stage, students participate in a competition.
The final modules are more advanced. You will dive deep into unsupervised algorithms for clustering and outlier detection problems, advanced regression models, time series analysis and deep learning issues.
WORK AT EPAM COMPANY
Program graduates who have completed all their homework and successfully presented the final project will be invited to a technical interview for EPAM company production projects.
PROGRAM TIMELINE AND DETAILS:
In order to be applicable for the program you should be familiarized with the following topics:
Module 1: Basic Engineering
Module 2: Basic statistics
Module 3: Exploratory Data Analysis
Module 4: Regression (basic)
Module 5: Classification (part 1)
Module 6: Clustering and Outlier Detection
Module 7: Regression (advanced)
Module 8: Time Series
Module 9: Neural Networks and Basic Computer Vision
Module 10: Neural Networks and Basic Natural Language Processing
Here is some additional, but important information:
Considering the limited number of slots for this training, the order of application and the assessment results will be decisive factors in being enrolled.
Have any questions? Contact us