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?#
Curriculum Overview#
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 roject
Machine learning (Week 5-8):
Supervised Algorithms
→ 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, Daily Stand-Up
Portfolio Projects, Group Work
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 group 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
Drink a coffee/tea together
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
Group work#
Group Work in Google Meet:
We will have breakout rooms open in Google Meet!
You can discuss questions!
You can do pair programming if you want we don’t force it!
If you do pair programming: Be respectful!
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
Switch Roles!
Support system#
We succeed together!
Discord: Our “virtual class room”
Need help? Just ask.
StackOverflow, LLMs (be resourceful)
Your group fellows
Yourself (rubber duck debugging)
1:1 Get additional coaching as needed.