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Data Science with Python

Winter University Online: January 11th - 29th, 2021

5 ECTS credit points, max. 24 participants

Registration Deadline: December 20th, 2020

Lupe

Overview

This course will focus on using Python for Data Science. You will learn to use the tools needed to analyze, understand and gain new insights from data in Python. We will begin with the very basics of Python and end with utilizing powerful libraries such as Numpy, Pandas and Matplotlib. The course will also give compact insights to Machine Learning by realizing simple algorithms with Python.

Learning Goals and Syllabus

Learning Goals:

Code in Python with Jupyter Notebooks

●      Use popular libraries such as Numpy, Pandas, Matplotlib etc. in Python

●      Manipulate and visualize data in Python

●      Do object orientated coding in Python

●      Run exploratory analysis on data and gain new insights

●      Implement simple Machine Learning algorithms

 

Course Structure:

Reading week: January 4th - January 8th, 2021. Flexible, 10 hours preparatory work to be done on-demand.

Online course: January 11th - January 29th, 2021. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions, etc.

Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).

Should you have any questions regarding the course timetable, please contact us at

Please note this is a full-time, intensive course. Weeks 1-3 will involve approximately 30 hours of workload.

 

Syllabus:

A detailed syllabus with information on the schedule will be made available to registered participants.

You may find the syllabus useful when discussing with your home university whether the ECTS credits attainable for this course are accepted by them.

 

Course Components:

-          live lectures

-          independent assignments

-          webinars for assignments discussion and solutions

-          independent project

-          webinars for project discussion/tutoring

-          online test

Target Audience

This course is designed for current university students, working professionals and any individuals with an interest in furthering their knowledge and skills in programing with Python for Data Science and Machine Learning.

Participants from all fields and disciplines are welcome.

Prerequisites and Technical Requirements

Participants of the TU Berlin Summer & Winter University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.

Basic programming knowledge is also required for this course. Students should be able to write and run small programs in the language of their choice. Students should also have basic knowledge in linear algebra and statistics/probability theory and know what loops, conditionals, methods/functions, libraries, vectors, matrices, gradient and probability distributions are.

Technical Requirements

We will ask participants to fulfill the following technical requirements:

  • Fully functional device (laptop, tablet, PC)
  • Stable internet connection
  • Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as zoom account name)
  • Recommended: external headset for better sound quality

Lecturer(s)

Jason Harris is a Research Assistant in the Robotics and Biology Laboratory (RBO) of the TU Berlin and a graduate (final year) student in Computer Engineering, specializing in robotic technologies.  At the Robotics and Biology Laboratory he develops, designs and investigates the behavior of soft robotic hands, in particular the challenges related to robotic grasping and in-hand manipulation, which heavily utilize machine learning.

Course fees

Course fees for Data Science with Python are as follows:

Student: 920 Euro

Working professional/Non-student: 1320 Euro

The early bird discount is available for all participants until November 1st. Registrations open in October 2020.

Please note that students will be required to upload proof of their student status (student card/ enrolment information) during the registration process.

Winter University Online: January 12th - 29th, 2021

5 ECTS credit points

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