Welcome to the Data Science and Machine Learning Engineering Bootcamp Deployed-Dill!#

AGENDA#

  1. Welcome 🤗

  2. Set Up 💻

  3. Break 🥗

  4. Connect 👩🏼‍🚀👨🏽‍🚀

Instructional team#

The DS Team#

About me#

Nouri Shehab#

Coach DS#

My background:#

  • Automation Control Systems

  • Attended Spiced DS Bootcamp in 2023

Why I joined the team:#

  • Great colleagues and atmosphere

  • Curiosity and foster a love for learning

  • Enjoy sharing knowledge with others

Ask me about:#

  • Embedded system & microcontroller

  • Crossfit

  • Cooking

About me#

Carmine Somma#

Senior Coach DS#

My background:#

  • Msc and Phd in Matter Physics

  • Attended Spiced Bootcamp in 2020

Why I joined the team:#

  • Nice colleague and vibe

  • Like learning by teaching and find code bugs

Ask me about:#

  • Basketball

  • Laser light

  • Bike

  • Cooking

🧊 Ice Breaker 🧊#

  • About us

  • 🏡 Place we call home

  • 👨🏽‍🚀👩🏼‍🚀👩🏾‍🎓🧑🏼‍🔬 Our Studies/ Work experiences

  • ⁉️ Why this bootcamp

  • 😃 2 Truths 1 Lie 🤥

Learning Journey#

What is Data Science?#

Source

Learning Journey#

Key Milestones#

Chapter 0: Python, Unix, Git

Chapter 1: Exploratory Data Analysis (EDA) and Descriptive Statistics with Python

Chapter 2: The Machine Learning Framework

Chapter 3: More Machine Learning (NN/NLP/TS)

Chapter 4: Capstone Project

Timeline#

Tools and getting started (Week 1-4):

  • Work space, Python Programming, Pandas, Visualisation, Exploratory Data Analysis

    → 1st individual project

Machine learning (Week 5-12):

  • Supervised, Unsupervised Algorithms, Deep Learning, Prompt Engennering

    → 2nd Project (week 9)

Working in teams on your own (Week 12-16):

  • The Whole Data Science Life Cycle

    → Capstone Project 1

Learning Experience#

Source

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

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)

Please always include two of the coaches in your absence notifications!

Code of conduct#

Imagine you are already in your next job environment!

  • Be respectful

  • No assumptions

  • Help each other

  • Share resources (helpful blog posts, job-information, fun stuff)

  • Be patient - not everyone learns as fast as you

  • We are a team - You are only finished when everyone else is finished

Sources

Code of conduct - some more thoughts#

  • We are in a safe environment, where all of us want to learn

  • There are so many jobs outside; we won’t be competing at all

  • Built relationships here, they might be helpful for you any time in the future

  • You’ll never know who will help you find your next job

Daily review#

Each day one of you is responsible presenting:

  • What did you learn the day before

  • Discuss results and questions about the topic from the day before

  • Loading your notes of the daily review on Github

Each morning from 9-10am before class.

Source

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!

Sources

Support system#

We succeed together!

Discord: Our “virtual class room”

Need help? Just ask. StackOverflow (be resourceful) Your partner

1:1 Get additional coaching as needed.