"Python for data analysis" interactive course
Mastering Python from scratch
3 months / 50 mini sessions / certificate
Starts June 15 / from 24 900 rubles
Why Python?
  • Python is one of the easiest languages to learn
    Python is an ultra-high level language with simple syntax.
  • Python is used by the world's largest companies: Google, Facebook, Instagram, Dropbox.
    For example, parts of the Youtube and Youtube API are written on Python
  • Python is a universal environment for scientific calculations.
    Python with NumPy, SciPy and MatPlotLib is actively used as a universal environment for scientific calculations as a replacement for common commercial Matlab, IDL and other packages.
    For example, the Astropy library is a popular tool for astronomical calculations.
  • The world's leading neural network libraries have an API on Python
    Tensorflow, PyTorch, Keras are neural network libraries with Python shells. The libraries are aimed at operative work with networks of deep learning.
  • Starting salary of Python data analysis specialist is 120.000 rubles
    According to statistics from hh.ru, the starting salary of a Python data analyst (Junior Data Scientist) is 120,000 rubles.
  • Python is one of the 5 most popular programming languages.
    TIOBE programming community index is an index that measures the popularity of programming languages. According to this index, Python is in the top 5 most popular programming languages in 2019.
Python is a high-level programming language focused on improving developer productivity and code readability.

The syntax of the Python core is minimalistic. At the same time, the standard library includes a large number of useful functions
Course program
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What will you learn from the course
  • Basic syntax and basics of Python programming
  • Installing the Python distribution kit - Anaconda and other auxiliary tools, connecting to remote computing servers
  • Basic concepts of scientific programming on Python: from working with different data types and built-in structures to writing your own modules.
  • Conducting descriptive data analysis (EDA): from reading and pre-processing to searching and visualizing relationships
  • High level vector computing using NumPy, SciPy libraries
  • Manipulation and analysis of data using Pandas library structures
  • Visualization with libraries Matplotlib, Seaborn
"Python for data analysis"
course teacher
Oleg Konorev
Moscow
Works in application of classical machine learning and neural networks in various tasks related to the processing of natural language (NLP). Experience in developing models for image recognition. Technologies and tools: Python 3, Pandas, Matplotlib, Numpy, scikit-learn, Keras/Tensorflow.
Course curator
Marat Khaidarov
Kazan
Technical education: Engineer of automated information processing and control systems.
Additional Education: Neural Networks and Deep Learning, Coursera
Work experience: Senior SCM Analyst; Logistics Supervisor at Ford Sollers Holding - more than 5 years (tasks: predictive analytics, process automation and optimization, assessment and improvement of key metrics of the department).
At the University of Artificial Intelligence worked in the following areas: classification of texts, generation of texts (chat bots), object recognition, speech recognition, training with reinforcements, networks with attention.
Training format
50 mini-sessions
Each session is a small 15-20 minute video, discussing one small topic.
All videos are available to you on a special training platform. You can review important points and refresh your memory.
You can study these sessions in any order you like
Practical assignments
Practical tasks will be available for you to work on your own.

Tasks are optional, but we strongly recommend practicing them. At any time, you can proceed to the next session.
Curator support
All communication on the course is organized on our training platform.

If you have any questions about the course material, write to the curator, who will help you understand the topic of the session or the practical task.
Certificate
Upon completion of the course you will receive a certificate on the University letterhead.
Our manager will answer any questions
  • Artem Voronov-Gashev
    Customer service manager
    Email: info@neural-university.ru
    Phone: +7 (499) 648-67-44
    Whatsapp/viber/telegram:
    +7(918) 916-41-84

"Python for data analysis" interactive course
Mastering Python from scratch
3 months / 50 mini-seesion / certificate
Starts June 15 / price from 24 900 rubles