DS403
Python for Data Scientists
Faculty Profiles
Radoslav Neychev
Harbour.Space AI Track Director, Girafe-ai founder
Ilia Sklonin
Ph.D. student at Moscow Institute of Physics and Technology
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
This course focuses on the fundamentals of Software Engineering. Proper design is an important part of any project. This course covers the basics of the Python programming language, basic concepts and language constructs. Along with this, this course provides tools for using Python programming language in complex projects in the Data Science domain. Students will gain insights into the correct design of the code, maintaining the documentation, codebase and interaction with remote machines. The course introduces students to basic integrations of Python with external libraries: pandas, numpy, matplotlib, sklearn and basic skills of data wrangling.
Learning highlights
- To learn how to use local or remote machines to solve different applied problems (especially in the Data Science domain) using Python and CLI
- Diving deep into the main concepts of Python, version control, script programming, debugging and profiling.
- Solving basic Data Science problems like Exploratory Data Analysis, ML model training, quality evaluation and model inference.
Course outline
15 classes
Session 1
Unix system basics
Bash, ssh, remote machines
Session 2
Version control
Git basics
Session 3
Environments
Python installation
Intro to Python
Basic syntax
Session 4
Basic data types
Data structures: lists, dictionaries, tuples, set
Session 5
Control flow tools
Conditions
Loops
Loops Strings and text data
Debugging and Profiling
Session 6
Functions
Namespaces
Decorators
Session 7
Classes and basic object oriented programming
Session 8
Classes and basic object oriented programming (part 2)
Session 9
Exceptions
Working with file system
Python modules and packages
Session 10
Intro to numpy and scipy
Data types in numpy
Numerical stability
Unit tests
Session 11
Basic ML concepts with sklearn
Naive Bayes, Linear Regression, Linear SVM
Session 12
Data visualization
Matplotlib, seaborn, plotly, bokeh
Session 13
Exploratory Data Analysis (EDA) with pandas (step 1)
Session 14
EDA with pandas (step 2)
Session 15
Final practical work: Applied problem solution implementation and execution on the remote machine
Course materials
Media
Prerequisites
Python 101 or equivalent
Basic interaction with the CLI
Methodology
The basic concepts of Software Development and Python language will be learned step by step. Each lesson includes a theoretical part and practical examples to consider each aspect of the language from a different point of view and learn how to use it in real problems.
Grading
Radoslav Neychev is a data scientist with focus on Deep Learning and Reinforcement Learning techniques. He has worked on variety of research (CERN LHCb, MIPT Machine Intelligence Lab, CC RAS) and industrial projects (Yandex, RaiffeisenBank) in different domains vary from particle identification problem to fraudulent transactions detection.
Radoslav graduated from Moscow Institute of Physics and Technology, majoring in Applied Mathematics and Machine Learning. Radoslav is reading lectures and organising practical classes at Russian top-tier universities, tech companies and summer schools.
See full profileIlia Sklonin is a data scientist with focus on Deep Learning. He has worked on variety of research (State Research Institute Of Aviation Systems, Department of Applied and Theoretical Informatics) and industrial projects (TCS Group Holding) in computer vision.
Ilia graduated from Moscow Institute of Physics and Technology, majoring in Applied Mathematics and Physics. Ilia teaches seminars at Moscow Institute of Physics and Technology and organizes practical classes at tech companies and summer schools.
See full profileApply for this course
Python for Data Scientists
by Radoslav Neychev, Ilia Sklonin
Total hours
45 Hours
Dates
Nov 08 - Nov 26, 2021
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.