Python programming

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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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

Schedule: Tue & Thu, 16:00 - 19:00 (CET), remote

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Course dates
Tuition
03. Feb 22
08. Feb 22 - 17. Mar 22
CHF 1'800
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What you'll learn

0

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 SIT Academy 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

15H40

16H00

17H00

18H00

19H00

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.

Students say

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

Holger von Ellerts

Holger von Ellerts

Python

"The instructors at SIT Academy made it very easy - even for non-programmers like me - to understand the basic and advances techniques of Python."

Job:Founder & CEO at digital nalu

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 SIT Academy 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 SIT Academy’s curriculum differ from other schools?

SIT Academy has trained more than 500 Full-Stack Engineers and Data Scientists. This has provided the SIT Academy 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?

None. Experience in programming (or Python) is nice to have, but not a prerequisite. We’re more interested in your motivation to learn in a fun and fast-paced environment.
Contact us
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Your instructors

Team Member

Thorben Croisé

Instructor
Having founded a company in Zurich and having hired over 40 Software Engineers, Thorben has a good i...
Team Member

Dr. Marie Bocher

Data Science Consultant
Marie has 7 years of experience in developing, deploying, and teaching machine learning and statisti...
Team Member

Badru Stanicki

Data Science Program Manager & Instructor
With a Masters in Physics, Badru got into scientific programming and Data Science during his time at...

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