Agenda of this morning#
Who are we?
What is data science?
What happens when?
What are yours and our Expectations?
Instructional team#
What is Data Science?#
Timeline / Key Milestones#
Tools and getting started (Week 1-4):
Introductions: Get to Know, Careers, Learning Styles, Stress Management
Work space, Python Programming, Pandas, Visualisation, Exploratory Data Analysis
→ 1st individual project
Machine learning (Week 5-8):
Supervised and Unsupervised Algorithms, Deep Learning
→ 2nd Project
More Machine learning (Week 9-12):
Deep Learning, Natural Language Processing, Time Series, Unsupervised Learning
→ Introduction to advanced techniques
Working in teams on your own (Week 13-16):
Applying the Whole Data Science Life Cycle
→ Capstone Project
What you can achieve#
I. Översetter by Marcel
What you can achieve#
II. Apply or not to apply by Sina & Petra
What are you really learning?#
→ To be resourceful and figure things out!
Reading error messages
Web search skills
Finding outside resources
Having a process when you’re stuck
Aid that enables self-sufficiency
Expectations#
What you can expect#
→ We will give you all it takes to start working as a data scientist.
How to solve problems - becoming resourceful
3 reference projects
nf-network
What you can expect#
You will learn a lot … also how to handle panic.
What we expect of you#
→ Don’t give up :D
The Hows…
Daily Reviews
Portfolio Projects, Pair Programming
Rapid Assessment Tests (RAT)
Formalities (Attendance Video, Sick Leaves, Active Participation)
Some more thoughts#
We are in a safe environment, where all of us (also your coaches) want to learn.
We are not in a competition! Don’t compare with others but only with yourself the day/week before.
Built relationships here, they might be helpful for you any time in the future.
Daily schedule#
Every day is different, but this is the general structure:
Daily review before the lecture at 10am
Lecture about a specific topic
Lunch break
Exercise what you have learnt in the afternoon
Reading material for next day’s topic
(Of course we will have breaks in between as well.)
Daily review#
Your time (without coaches) to discuss and do peer-learning.
Each day one of you is responsible moderating the meeting:
What did you learn the day before?
Discuss results and questions about the topic from the day before
Loading notes of the daily review on Github
Pair programming#
Driver: writes code
Navigator: reviews code and gives “strategic” directions
Dos:
Be respectful
Talk to each other
Explain what you are doing
Think ahead and make suggestions
Don’ts:
Don’t be a bossy navigator
Don’t grab the drivers mouse/keypad
Switch Roles!
Support system#
We succeed together!
Discord: Our “virtual class room”
Need help? Just ask.
StackOverflow, LLMs (be resourceful)
Your partner
Yourself (rubber duck debugging)
1:1 Get additional coaching as needed.