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short coursePython 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.
Part-Time
weeks
Remote
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
The next date is not yet known
Are you interested in applying for our course? Then register here and we will inform you as soon as the next course dates are published.
Looking for financing? Check out our financing options.
Schedule
- Mon
Remote
- 16.00 - 18.00Q&A Session
- Tue & Thu
Remote
- 16.35 - 17.00Q&A Session
- 17.00 - 18.00Lecture
- 18.00 - 20.00Practice
Q&A SessionDuring these sessions, you are totally free to connect and ask any questions about the covered topics.
LectureLearn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.
PracticeWork on a set of interesting and challenging exercises related to the topics covered in the previous lesson.
Where our students get jobs
Get your dream job - we'll support you along the way!
Caitlyn Trevor
Python
❝Thanks for a great course!❞
Job:
Postdoc at UZH
What you will learn
Week before start
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.Week 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.
Week 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.
Week 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.
Week 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.
Week 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.
Week 6
Mini-project
Select from a list of projects provided by Constructor 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.
Certificate from top coding school
Get certified by Constructor Academy, one of the world's top coding academies. Share your certificate on social networks, CVs and more. Boost your career with the new skills that you gained.
Financing options
At Constructor Academy, 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.
Upcoming events
Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.
Application process
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.
Get ready for the course
Free Python intro course
Online
Self-paced
Free of charge
Dive into Python with our free introductory course covering essential concepts like variables, data types, control flow, loops, and functions. Completing this course will give you a strong grasp of the fundamentals of programming in Python and prepare you for the Python programming short course.
Estimated time to complete: 8 hours
FAQs
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!
Is there an interview selection for this course?
No, the goal is to help you take your first step into coding.
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 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 Constructor Academy's curriculum differ from other schools?
Constructor Academy has trained more than 700 Full-Stack Engineers and Data Scientists. This has provided the Constructor 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.
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 Python Intro course. Complete it (8 hours), and you'll be ready to excel in the Python Programming Course.
Your instructors
Instructor
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.
Data Science Program Manager & Instructor
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.
Data Science Consultant
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 Academy. 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.
Read more about Constructor Academy in our Blog
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