Python programming course

Python is the fastest growing programming language because of its clarity, ease of use and versatility. Data analytics, visualization, web development... are some of the applications of this highly in-demand language. Get coached through the fundamentals of Python and its most common applications.

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Python programming
clock

Part-Time

6

weeks

remote

Remote

language

English

Program overview

Start with Python Fundamentals: variables, data types and structures, control flow, functions, modules, and objects. Reach the next level by exploring concrete applications: analyze and visualize data, access data from web services (eg Google maps API), create your own app, access SQL databases, and generate automated reports. Finally, apply your new skills to a mini-project of your choice.

Upcoming dates

Apply by
Course dates
Tuition
09. May 23
16. May 23 - 22. Jun 23
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Schedule: Tue & Thu, 17:00 - 20:00 (CET), remote

Where our students work

Get your dream job - we'll support you along the way!

Google
Swisscom
Axa
Ava
Ebay
Swiss International Air Lines
Adobe
Elca
Axpo
Ginetta
Novartis
Atos
Roche
ETH Zurich
Pictet
Upc
Avrios
Ergon
Google
Swisscom
Axa
Ava
Ebay
Swiss International Air Lines
Adobe
Elca
Axpo
Ginetta
Novartis
Atos
Roche
ETH Zurich
Pictet
Upc
Avrios
Ergon
APGSGA
Sygnum
Web Republic
Brack
UBS
Globus
Credit Suisse
Migros
Ruag
Accenture
Ernst & Young
Dormakaba
Comparis
Climeworks
Six Group
Swiss Re Group
SAP Software Solutions
APGSGA
Sygnum
Web Republic
Brack
UBS
Globus
Credit Suisse
Migros
Ruag
Accenture
Ernst & Young
Dormakaba
Comparis
Climeworks
Six Group
Swiss Re Group
SAP Software Solutions

What you will learn

Introduction session

Meet the instructors and students during our 1 hour Introduction to the course. Get more information about the curriculum, methods and the tools used during the course. The aim is to set you up and make you feel comfortable with our online learning environment.

1

Python fundamentals

Day 1: Introduction to Python
  • Learn the tools of the Python programmer.
  • Define variables and manipulate various data types and structures (e.g. strings, numbers, booleans, lists, dictionaries, and tuples).
  • Use different control flow mechanisms (for, while, and if … loops).
Day 2: Code debugging and modularization
  • Leverage debugging tools to understand how the Python interpreter processes your code and investigate errors.
  • Write functions and organize your code using modules.
  • Learn the concepts specific to Python like list comprehensions.

2

Advanced Python

Day 1: Object oriented programming
  • Learn what an object is in Python.
  • Write Object-Oriented Programs.
  • Practice designing your code reusability and modularity.
Day 2: Data Analytics
  • Learn NumPy and Pandas, the most important libraries in Python for manipulating tabular data.
  • Create Jupyter Notebooks, a popular way to explore data with Python.
  • Practice exploring datasets with these tools.

3

Visualization & web scraping

Day 1: Visualizing data
  • Learn different visualization classifications.
  • Get an overview of Python visualization packages.
  • Create beautiful plots with Matplotlib and Seaborn.
  • Practice reading Python documentation.
Day 2: Access web data
  • Send HTTP requests from Python.
  • Learn the basics of HTML and parse web pages with Python.
  • Practice acquiring, cleaning, saving and analyzing data from web pages.

4

Web Apps

Day 1: Access web APIs
  • Learn how the internet works.
  • Learn the interests and uses of Application Programming Interfaces.
  • Practice sending "post" and "get" requests to APIs from Python and reading APIs documentations.
Day 2: Create a web app
  • Learn web development frameworks in Python.
  • Build a Flask application and use it to create your own API.

5

Databases and automatic reporting

Day 1: Relational databases and Python
  • Learn fundamentals of Structured Query Language (SQL).
  • Read, write, and analyze data from a SQL database using Python package SQLAlchemy.
Day 2: Automatic reporting with Python
  • Create automated reports in HTML, PDF, and Excel format using Python.
  • Integrate interactive figures in your reports using Python package Plotly.

6

Mini-project

Select from a list of projects provided by Constructor Learning or work on a topic of your choice. In both cases, the instructor and TAs will help you to get the most out of it.

Weekly schedule

(CET)

Mo

Tue

Wed

Thu

Fr

Sat

09H00

12H00

13H00

16H40

16H00

17H00

20H00

Q&A Session

During these sessions, you are totally free to connect and ask any questions about the covered topics.

Lecture

Learn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.

Practice

Work on a set of interesting and challenging exercises related to the topics covered in the previous lesson.

Earn a Certificate of Accomplishment

Share your Certificate on social networks, printed resumes, CVs or other documents. Boost your career with the new skills that you gained.

Certificate

Financial options

At Constructor Learning, we believe that finances should never be a barrier to accessing the education and training that can help individuals achieve their goals. That's why we offer a variety of financing options to make our courses more accessible to a diverse range of students. We also work with external organizations that provide financial assistance to those in need.

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Students say

Caitlyn Trevor

Caitlyn Trevor

Python

Thanks for a great course!

Job:Postdoc at UZH

Pierluigi Izzo

Pierluigi Izzo

Python

These classes cover a broad range of topics related to Python which will enhance your skills set for your day-to-day work.

Job:Quantitative Risk Specialist at UBS

Anna Slavutskaya

Anna Slavutskaya

Python

Enjoyed the classes, liked the organization a lot! Special thanks to Marie for her availability!

Job:Manager at Finyon Consulting AG

Upcoming events

Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.

  • Data analytics workshop

    29. Mar 23, 05:00 PM - 07:00 PM GMT+2
    Online via Zoom

    Get ready to dive into the world of data analytics with Dominik Bacher, Constructor Learning's Data Science champion and teaching consultant extraordinaire! Join us on Wednesday, March 29th, 2023, from 5 - 7 PM for an introduction to data analytics that will blow your mind. In just a few short hours, you will get an introduction to data processing basics, and data visualization techniques, he will even show you how to frame data science problems like a pro. But that's not all! By the end of the workshop, you'll have the chance to flex your machine-learning muscles and create a model that can predict housing prices. That's right, you'll be a data science superstar in no time. If you're interested in Data science and want to take your skills to the next level, this event is for you. Don't miss out on this incredible opportunity - register today to save your seat!

    Details

  • Introduction to JavaScript workshop

    30. Mar 23, 05:00 PM - 07:00 PM GMT+2
    Online via Zoom

    Are you interested in learning how to code with JavaScript? Join our Introduction to JavaScript workshop on Thursday, March 30th from 5-7 pm. This workshop is completely online and will be held using Zoom, so you can join us from the comfort of your own home. We welcome everyone who is new to coding and want to learn the basics of JavaScript. We'll cover everything you need to know to get started with coding, including what variables and data types are, how to use functions, and more. You'll even get a chance to try coding yourself! Don't worry if you're completely new to coding - we'll guide you through everything step by step. Sign up now and get ready to discover the exciting world of coding with JavaScript!

    Details

  • Education fair Zurich

    11. May 23, 11:00 AM - 07:00 PM GMT+2
    Zürich HB (Booth 34)

    Constructor Learning will be at the Zurich 2023 Education Fair. Visit us at our booth, talk to our Student Success Team or our Program Managers and learn more about our continuing education offerings. We will see you there.

    Details

Empty room with chairs

Application process and prerequisites

The only prerequisite is that you are new to Python. You are a motivated learner, passionate about technology, with some or no experience in programming.
Simply apply to the program here.

FAQs

How is the day by day schedule?

Every course starts with a 60-70 mins introduction to a new topic, followed by 2 hours of guided exercises with the help of our teachers and teaching assistants. During Q&A sessions (on Mondays and 20 minutes before each course), you are totally free to connect and ask any questions on Python Programming, either on the course and exercises, or for your personal projects.

How is this course different from other self-paced online training?

Most self-paced courses are a good place to start. They do not, however, go into the depth of problems early-stage programmers face in their day-to-day coding life nor do they get help when it really matters.That’s not the Constructor Learning philosophy. We’re here for you. Each and every learner gets the attention they deserve from our experienced staff of instructors and mentors.

How does Constructor Learning’s curriculum differ from other schools?

Constructor Learning has trained more than 500 Full-Stack Engineers and Data Scientists. This has provided the Constructor Learning team an in-depth understanding of what skills are most in-demand in the market and which parts of technology are of highest importance when working with data.

Is there an interview selection for this course?

No, the goal is to help you take your first step into coding.

Who should attend this course?

Anyone who wants to make a jump start into coding in an optimal amount of time and with high quality and personalised support. If you want to: - go from beginner to advanced level, - work on concrete ideas to solve problems, - be able to talk code with developers and data scientists this course is made for you!

What coding level do I need?

Basic coding knowledge is encouraged no matter the programming language or framework. If you’ve never seen a line of code before, we encourage you to first start with our free Data Science Intro course. Complete it (15 hours) and you’ll be ready to fly during in the Python Programming Course.

Your instructors

Team Member

Thorben Croisé

Instructor

Bio
Having founded a company in Zurich and having hired over 40 Software Engineers, Thorben has a good idea on what you need to be a professional Software Engineer. Even though in his daily jobs his responsibilities include designing product roadmaps and conducting sales meetings, he still uses Python and JavaScript daily. With a MSc in Computer Science from ETH Zurich and a passion for computers from young age, his experience includes almost anything you can do with a computer: From Frontend to Backend Development to Server Deployment and Computer Graphics.
Team Member

Dr. Ekaterina Butyugina

Data Science Program Manager & Instructor

Bio
Ekaterina studied mathematics at university and worked as Junior Researcher in Russia where she did her PhD in Continuum Mechanics. Looking for the opportunity to find something close to science but more dynamic and applicable to real life, she joined the Data Science program, then stayed on as a TA and later joined the team as a Data Science Consultant. She likes to work with data and apply both analytical and creative approaches, trying new techniques and sharing them with other people.
Team Member

Albin Plathottathil

Data Science Consultant

Bio
Soon after graduating with a Bachelor’s in Computer Engineering, Albin found his interest in working with large amounts of data. His passion for coding and curiosity to keep learning brought him to Data Science Program at Constructor Learning. His willingness to help others made him an instant class favourite and for this reason, he joined the team as Teaching Assistant mentoring the next students, and later on as a Data Science Consultant.

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