Python
professional course
Master Python in practice: analyze data, create ML
models and automate tasks with Pandas and Scikit-
learn. No water - only real knowledge for the profession.
Start Now Read more
01

Complete coverage of Python

Includes language onsets, working with data, libraries (Pandas, NumPy), data analysis skills.
02

Practice-oriented approach

Contains many real-world projects, quizzes, and case studies.
03

Flexibility and support

24/7 access to materials, regular course updates and quick answers to questions from tutors.
04

Career Focused

Preparation for real job opportunities + Certificate of Proficiency
What does a Python
developer do?
A Python developer builds web applications, develops machine learning solutions, analyzes data, and automates processes - skills that are in demand at large companies like Google, NASA, and Dropbox.

Python's versatility and popularity make it one of the best options for starting a career in IT.
What kind of career awaits you after the course
Big Data Analytics

Visualizing results

Building predictive models
Creating API and server-side logic

Working with Django/Flask

Microservices development
Neural Network Development

Computer Vision

Natural Language Processing
Writing scripts for testing

Automation of routine tasks

Setting up CI/CD processes
Who this course is for
Beginners in IT 01
If you have never programmed but want to learn a sought-after language from scratch.
To analysts and marketers 02
To automate reports, work with data and improve efficiency.
Experts from other languages 03
If you know another language (like PHP or JavaScript) and want to expand your technology stack.
Entrepreneurs and managers 04
To understand IT processes and intelligently assign tasks to developers.
What you will learn
Clean code in Python
Master writing readable and efficient code according to PEP 8 standards.
Working with data structures
Learn to confidently use lists, dictionaries, tuples, and sets.
Process Automation
Create Python scripts to automate routine tasks.
Analyzing Data
Master data processing with the Pandas and NumPy libraries.
Visualize results
Learn to visualize data using Matplotlib and Seaborn.
Web Development
You will be able to create web applications in Django/Flask.
Machine Learning
Learn basic ML algorithms using Scikit-learn.
Working with databases and APIs
Learn to integrate data from different sources through APIs and DBMSs.
Сourse program
Module 1: Installations
  • Installing the Anaconda distribution for Windows
  • Installing Anaconda Distribution for MacOs
  • Installing Anaconda Distribution for Linux
  • Reviewing The Jupyter Notebook
  • Reviewing The Jupyter Lab
  • Installing PyCharm IDE for Windows
  • Installing PyCharm IDE for Mac
Module 2: First Step to Coding
  • Python Introduction
  • Project Files
  • FAQ regarding Python
  • First Step to Coding
  • Using Quotation Marks in Python Coding
  • How Should the Coding Form and Style Be (Pep8)
  • Quiz
Module 3: Basic Operations with Python
  • Introduction to Basic Data Structures in Python
  • Performing Assignment to Variables
  • Performing Complex Assignment to Variables
  • Type Conversion
  • Arithmetic Operations in Python
  • Examining the Print Function in Depth
  • Escape Sequence Operations
  • Quiz
Module 4: Boolean Data Type
  • Boolean Logic Expressions
  • Order Of Operations In Boolean Operators
  • Practice with Python
  • Quiz
Module 5: Strings Data Type
  • Examining Strings Specifically
  • Accessing Length Information (Len Method)
  • Search Method In Strings Startswith(), Endswith()
  • Character Change Method In Strings Replace()
  • Spelling Substitution Methods in String
  • Character Clipping Methods in String
  • Indexing and Slicing Character String
  • Complex Indexing and Slicing Operations
  • String Formatting with Arithmetic Operations
  • String Formatting With % Operator
  • String Formatting With String.Format Method
  • String Formatting With f-string Method
  • Quiz
Module 6: List Data Structure
  • Creation of List
  • Reaching List Elements – Indexing and Slicing
  • Adding & Modifying & Deleting Elements of List
  • Adding and Deleting by Methods
  • Adding and Deleting by Index
  • Other List Methods
  • Quiz
Module 7: Tuple Data Structure
  • Creation of Tuple
  • Reaching Tuple Elements Indexing And Slicing
  • Quiz
Module 8: Dictionary Data Structure
  • Creation of Dictionary
  • Reaching Dictionary Elements
  • Adding & Changing & Deleting Elements in Dictionary
  • Dictionary Methods
  • Quiz
Module 9: Set Data Structure
  • Creation of Set
  • Adding & Removing Elements Methods in Sets
  • Difference Operation Methods In Sets
  • Intersection & Union Methods In Sets
  • Asking Questions to Sets with Methods
  • Quiz
Module 10: Conditional Expressions
  • Comparison Operators
  • Structure of “if” Statements
  • Structure of “if-else” Statements
  • Structure of “if-elif-else” Statements
  • Structure of Nested “if-elif-else” Statements
  • Coordinated Programming with “IF” and “INPUT”
  • Ternary Condition
  • Quiz
Module 11: For Loop
  • For Loop in Python
  • For Loop in Python (Reinforcing the Topic)
  • Using Conditional Expressions and For Loop Together
  • Continue Command
  • Break Command
  • List Comprehension
  • Quiz
Module 12: While Loop
  • While Loop in Python
  • While Loops in Python Reinforcing the Topic
  • Quiz
Module 13: Functions
  • Getting to Know the Functions
  • How to Write Function
  • Return Expression in Functions
  • Writing Functions with Multiple Arguments
  • Writing Docstring in Functions
  • Using Functions and Conditional Expressions Together
  • Quiz
Module 14: Arguments and Parameters
  • Arguments and Parameters
  • High Level Operations with Arguments
  • Quiz
Module 15: Most Used Functions
  • all(), any() Functions
  • map() Function
  • filter() Function
  • zip() Function
  • enumerate() Function
  • max(), min() Functions
  • sum() Function
  • round() Function
  • Lambda Function
  • Quiz
Module 16: Class Structure
  • Local and Global Variables
  • Features of Class
  • Instantiation of Class
  • Attribute of Instantiation
  • Write Function in the Class
  • Inheritance Structure
Module 17: OOP
  • OOP: Logic of OOP
  • OOP: Constructor
  • OOP: Methods
  • OOP: Inheritance
  • OOP: Overriding and Overloading
Module 18: Python Marathon Projects
  • E-mail Generator
  • BMI Calculator
  • Tip Calculator
  • Bottle Deposits
  • Name The Shape
  • Admission Price
  • Note to Frequency
  • Frequency to Note
  • Parity Bits
  • Reduce a Fraction to Lowest Terms
  • Two Dice Simulation
  • String Edit Distance
  • Run-Length Encoding
  • Caesar Cipher
  • Number Guessing Game
  • Login Controller
  • Password Generator
  • Sorted Order
  • Fibonacci
  • Team Builder
  • Finding Prime Number
  • Word Counter
  • Overlap
  • Perfect Number Finder
  • Playing Card
  • The Sieve of Eratosthenes
  • Anagrams
  • Roulette Game
  • Bingo Card
  • Rock Paper Scissors
  • Remote Controller
Module 19: Extra
  • Python | Python Projects & Quizzes for Python Data Science
Real projects in your portfolio!
We've emphasized real-world tasks so that you can use Python not just to learn Python, but to put it to work right away. All the projects in the course will be a great addition to your professional portfolio.
Parsing and analyzing data
You will create a script to collect and process data from websites using BeautifulSoup and Pandas.
Dashboard for data visualization
You will develop an interactive dashboard in Python to visualize business metrics.
Telegram bot for task automation
Write a functional bot with integration into databases and external APIs.
Machine learning model for forecasting
Build and train an ML model to solve a real-world problem (e.g., price prediction or text classification).
Our team of experts
Anna Smirnova Web Development Expert
Specializes in creating interactive applications using JavaScript.

Works with clients all over the world and has many successful projects on Upwork platform.

Chose JavaScript for its versatility and broad capabilities.
Dmitry Volkov Senior Python Developer
10+ years of commercial development in Python.

Specializes in creating high-load web applications on Django and FastAPI.

Participated in projects for Sberbank, Yandex and foreign startups.
Ekaterina Semyonova Data Science Team Lead
Expert in data analysis and machine learning.

She has implemented more than 50 ML projects in e-commerce and fintech.

Teaches Python for data analysis at MIPT.
Artem Belov Python Automation Architect
Author of automation courses in Python with 15K+ students.

Developed automation systems for Russian Railways,

Gazprom Neft and retail chains.
Certificate
Upon completion of the course you will receive a certificate of the
established sample, which will confirm your qualification and
become an additional argument for the employer.
Tariff plans
Introductory
  • Training program 2 modules
  • Video lessons
  • Homework
  • Assignment check and fitback
  • Chat for students and tutors
  • Access to the course - 1 week
  • Without certificate
$5
Start now
Basic
  • Training program - 17 modules
  • Video lessons
  • Downloadable Resources
  • Homework
  • Assignment check and fitback
  • Chat for students and tutors
  • Access to the course - 3 months
  • Certificate
$20
Start now
Standard
  • Training program - 19 modules
  • Video lessons
  • Downloadable Resources
  • Homework
  • Assignment Checks and Fitbacks
  • Chat for students and tutors
  • Access to the course - 6 months
  • Certificate
$32
Start now
VIP
  • Personalized mentor support
  • Training program - 19 modules
  • Video lessons
  • Downloadable Resources
  • Homework
  • Error analysis and advice
  • Chat for students and tutors
  • Access to the course - 6 months
  • Certificate
$45
Start now
Corporate
  • Groups of 5 - 10 people
  • Training program - 19 modules
  • Video lessons
  • Downloadable resources
  • Homework
  • Assignment Checks and Fitbacks
  • Chat for students and tutors
  • Access to the course - 6 months
  • Certificate
$420
Start now
Our students are satisfied with their education
89%
of graduates say that the course
helped them achieve their goals.
96%
of graduates would recommend
studying with us
Testimonials from our alumni
When I started the course, I had no experience in programming. Thanks to the step-by-step learning system and real projects, after 3 months I was able to get a job in an IT-company. Teachers always answered questions promptly and helped me to understand complex issues.
Alexey
Junior Python Developer
As an analyst, I constantly had to work with huge data sets in Excel. After this course I completely switched to Python - now data processing takes much less time. I learned how to create automatic reports, visualize data, and even make simple forecasts. The most valuable project for me is a dashboard for analyzing sales, which I now use at work.
Ekaterina
Data Analyst
I was looking for a course that would give not only theory but also real skills for employment. Exceeded all expectations! Thanks to a project on machine learning (real estate price forecasting) I received an offer for an internship.
Maxim
Student
I never thought that at the age of 30 I could learn to program. The course is built so competently that even complicated topics became clear. My main result is a telegram bot to collect applications from the website, which now saves us a lot of time and money. The instructors were supportive every step of the way and the community of students helped inspire ideas.
Anna
Digital Marketing Specialist
I wanted to automate some of my work processes and chose this course. In 2 months I learned how to write scripts for server monitoring and log processing. Now I can automate up to 70% of routine tasks. Especially useful were the modules on working with APIs and databases. I recommend it to anyone who wants to reach a new level in IT.
Dmitry
System Administrator
As the owner of a small online store, I was looking for a way to optimize the work with goods and orders. This course gave me practical skills: now I can edit scripts for uploading goods, analyze sales and even set up a simple recommendation system for customers. I really liked the approach - no unnecessary theory, only things that can be applied immediately.
Olga
Entrepreneur
Take the chance to
start a career in IT!
Many SEO specialists successfully build their careers in IT companies. After completing the course you will have the opportunity to get a job in an accredited IT company and enjoy all its benefits.
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Questions and Answers
Do I need prior training?
This course is suitable for beginners with no experience as well as for those who already know the basics. We start with basic
Python concepts and gradually progress to advanced topics - you'll learn all the skills you need regardless of your starting level.
How is the training structured?
You study the materials at your own pace: watch video lessons, read additional materials and consolidate your knowledge with
practical exercises. Each module includes real cases from the work of Python developers.
Can I get a job after the course?
Yes! The course is designed for employment: you will build a portfolio (web applications, data analysis, automation), learn to solve
commercial problems and prepare for interviews.
How much time should you devote to your studies?
We recommend 6-8 hours per week. But you can move at your own pace.
Can I combine with work/study?
Of course! All lessons are available on record and homework can be handed in whenever you want. 76% of our students took the
course in parallel with their main activity.
What if the course is not suitable?
We give 100% refund after the first 3 lessons. After that, we will re-calculate the amount for uncompleted modules or help you
choose another program. Your goal is our priority!