Data Science
Bootcamp
(Part-time)
NEXT COURSE | September 12, 2022 |
FORMAT | 100% ONLINE |
DURATION | 26 weeks 24 weeks of classes Mondays, Wednesdays, and Thursdays 18:30 to 21:30 (CET) |
LANGUAGE | English |
WHY TAKE THIS COURSE
Learning how to use and interpret big data can significantly boost your career – but you don’t have to quit your job to learn.
Data Science is not only one of the most sought-after and progressive disciplines in tech, it is also among the most versatile. The skills it offers can be put to use in such fields as law, medicine, insurance, marketing, consultancy, human resources, and many more.
Holding classes only on evenings and on Saturdays, the Part-Time Data Science bootcamp will teach you the theory and especially the practice of gathering, analysing and manipulating data.
You’ll begin from the basics and gradually build up to advanced fields such as machine learning, which allows you to teach your computer how to solve problems by itself.
The curriculum is suited for those who wish to start a brand new career in tech, as well as for those who wish to upskill without changing their field. The schedule is designed expressly for students who already have a busy routine.
Source: Glassdoor.de
The goal is to turn data into information, and information into insight.
Where our graduates work
Requirements
What you will need
An open mind
Many of the concepts you will learn will be new and unfamiliar to you. The material we’ll present you with will push you outside of your comfort zone. This is natural. Embrace it.
The patience to crunch numbers
Before you can interpret data, you must gather it, process it, compare it. This is called quantitative work, and while it does not demand any special aptitude or preparation, it does require the willingness and the patience to work with numbers.
A conversational level of English
Our bootcamp is open to international students, and it is in English. You don’t have to be a native speaker, but you should know the language well enough to be able to follow a class, and communicate with your fellow students, without slowing everyone else down.
A computer with internet access
Our virtual platform, where you will meet your instructors and study alongside your peers, is online. To join us, you will need a computer or a laptop connected to the Internet, along with speakers/headphones and a microphone.
What you will not need
A talent for mathematics
Data Science requires patience and hard work, yes. But it’s not something only the most brilliant minds of this world can do, and it’s fine if you haven’t done any mathematics since school.
Prior experience in computer science
You don’t need any qualifications related to computer science or programming. Our bootcamp assumes no prior knowledge and covers the basics of the field in the first few weeks.
A competitive mindset
You are here to learn together with others, not to outdo them. A collaborative, friendly attitude is essential, and your only benchmark for progress should be yourself.
What does the course teach
Your classes will last three hours on Monday, Wednesday and Thursday, complemented with a full day of teaching on Saturday. You will learn about the theory and the mathematical foundations of Data Science, and from there progress to its practical and commercial applications. The bootcamp equips you with the precise skills necessary to interpret and exploit the data generated by business interactions online (or, to get your computer to do it for you!). A thorough induction in machine learning, a field of artificial intelligence, is also provided.
Teaching methods
A bootcamp is more than just an online course: it’s a full-immersion in an interactive learning environment in which you and other students will be as closely supported as you will be actively challenged.
Learn by doing
Work on concrete projects based on real-life problems. Expand your skills with each new project.
Interactive online seminars
Analyze and interpret data in live, instructor-led seminars alongside your fellow students.
Part of our world
Gain access to our virtual platform, and network with both pros and fellow students at any time of the day.
The Primer
Prior to the beginning of the bootcamp, we will give you access to our Primer. This is an introduction to the basic concepts you will be dealing with in your classes, and it is designed to be interactive and inclusive of exercises. The purpose of the Primer is to make sure that every student can begin the bootcamp with some core notions already in place, so that everyone can hit the ground running.
Concepts & Tools
In this bootcamp you will learn how to employ tools for visualizing and interpreting data scientifically. You will become handy with databases, cloud computing, SQL, and Python for Data Science. Later in the course you will be taught about machine learning, a data-based field of artificial intelligence.
Module 1
Business Analytics
Learn how to read, clean, explore and visualise data from real businesses to deliver actionable recommendations and craft business proposals.
Data driven businesses
SQL & Tableau
Query Relational Databases with SQL and build interactive visualisations with Tableau to support data-driven decision-making.
Python
Git & Github
Set up your data science portfolio.
Intro to Python
Write loops and functions, read and manipulate all kinds of data with Python.
Data storytelling
Python – Pandas: data cleaning & transformation
Real-world data never comes clean and ready to summarize. Learn how to extract value from the mess!
Python – Matplotlib & Seaborn: data viz
Turn the (finally clean!) data into a story to craft a compelling business proposal and drive actions with your analysis.
Module 2
Statistics and Data Engineering
Learn the real use-cases of traditional hypotesis testing (A/B testing to optimise web UI/UX). You will use the modern tools for experimenting, but also understand the underlying statistical concepts.
Learn how to collect unique data from the internet using APIs, and use the power of cloud computing to build data pipelines from scratch.
A/B Testing
Inferential Statistics
Generalizing from data and testing hypotheses are two pillars of Statistics. Learn how these old-school techniques are applied in modern Data Science with case studies.
Data pipelines
Data Collection: APIs.
The internet is full of APIs with real-time data, and websites with valuable content. Use Python to interact with these APIs and collect the data.
Cloud & SQL
You learned to query the databases in Module 1, now it’s time to create one. Build a pipeline to bring data from the internet directly to your database.
Module 3
Machine Learning
Train and tune ML models to make predictions on housing prices and cluster songs to automate the creation of playlists.
Clustering Songs
Unsupervised Machine Learning
Use Machine Learning to discover the hidden, underlying structure of the data. Use these methods to group songs into clusters based on their audio features, and tune your model so that these groups resemble musical genres.
Predicting Housing Prices
Supervised Machine Learning
Apply Machine Learning to bring value to the world of real estate by training, tuning and interpreting algorithms like K Nearnest Neighbors, Random Forest and Support Vectorn Machine.
Module 4
Applied Data Science
Build one of the most popular Data Science products: a recommender system. Then, get ready for data interviews with one last push of SQL advanced exercises.
Movie recommender
Recommender Systems
Emulate Netflix’s recommender system and learn how to create a hybrid algorithm that can deliver customized content to each user.
SQL Interview Preparation
Advanced SQL
Practice some of the most advanced SQL questions that you might encounter in a technical interview. We will teach you how to nail it!
Weekly schedule
During the course, the structure of the weeks will vary to adapt to the learning content of the moment, but in general this is what a typical week looks like. Please note that the course is also available in a full-time format if the following schedule is not suitable for you.
| Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | |
| 09:00 |
Join us on our Learning Platform to complete real Data Science projects, and ask for help any time!
Project Work
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| 12:00 | Lunch Break | |||||
| 13:00 | Project Presentation | |||||
15:00 18:00 |
Look back to reflect on what you’ve learned and how you’ve learned it.
Recap / retrospective
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| 18:30 |
Your instructors will introduce new topics in live lectures as well as interactive coding sessions.
Lecture
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Your instructors will introduce new topics in live lectures as well as interactive coding sessions.
Lecture
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Meet your instructor online to closely review your progress and prepare your project presentation.
Checkpoint meetings with groups and/or 1:1
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| 19:30 |
Join us on our Learning platform to complete real Data Science projects, and ask for help any time!
Project work
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Join us on our Learning platform to complete real Data Science projects, and ask for help any time!
Project work
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21:00 21:30 |
Recap the learnings of the day with the instructor, and set the objectives for tomorrow.
Check out
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Recap the learnings of the day with the instructor, and set the objectives for tomorrow.
Check out
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Instructors
Our instructors are hands-on professionals from the world of Data Science, with a proven track record in the industry and a passion for helping others learn. Each bootcamp has its own designated instructor, who will act as your personal tutor and check on your progress from the first to the last of your 26 weeks with us. Our bootcamp is a challenge – but it’s a challenge you won’t have to face alone.
Career services
Our bootcamp is more than just an online course – it is the first concrete step in your career in tech. As such, it includes a comprehensive preparation on how to present yourself to the industry and quickly land your first job.
Career Preparation Program
Get job-ready with our Career Preparation Program - a comprehensive, self-paced online course with tons of material, exercises and templates to which you will have life-long access.
1-1 Career Support
Receive detailed feedback on your CV and your LinkedIn profile and work on your personal branding and career strategy together with our Career Service Experts.
Networking
Join our community and guest speaker events and connect with industry experts, alumni, partners and employers looking for talent.
Graduation certificate
Students who complete our course will be awarded a WBS CODING SCHOOL Graduation Certificate. The document testifies to future or potential employers the acquisition of precise skills in accordance with the selected course. Expect this to become a staple of your tech-related CV or professional profile.
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Events
Would you like to meet our instructors or find out more about our school? Do you have questions on what sort of jobs open up with a Data Science certification? How about getting some insights from veterans in the field?
Join our free events
Tuition and Funding Options
Our prices are inclusive of all services in the course description. If self-financing is not a possibility, please do look into our sponsored funding options – your future is worth more than a course fee.
100% ONLINE PART-TIME COURSE
- 24 weeks of live, instructor-led training
- Dedicated lead instructor per batch
- Access to our learning platform
- Personalized career services
- Lifelong membership of our vibrant community
- Graduation certificate
If you are unable to settle the tuition upfront, no worries – there are various installment plans and third-party or governmental funding options which can cover the cost of the course.
Upcoming BOOTCAMPS
Our Part-time Data Science bootcamps last 26 weeks, with 24 weeks of instructor led training and two one-week breaks. Please find the starting dates for the next bootcamps below. You may also consider the starting dates for the full-time version of this course, in case you find them more suitable.
| Course dates | Final day to apply | |
| Jul 11, 2022 – Jan 21, 2023 | Jun 24, 2022 | 1 |
| Sep 12, 2022 – Mar 25, 2023 | Aug 26, 2022 | 2 |
| Nov 7, 2022 – May 20, 2023 | Oct 21, 2022 | 2 |
How Our Application Process Works
Our application process is designed to guide you, gently but clearly, into the course you want to take. Just follow these three steps:
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APPLICATION FORM
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(2 min)
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Fill in our Application Form with your personal details and get immediate access to the coding challenge.
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DATA CHALLENGE
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(20 min ~ 60 min)
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Solve our data challenge. The purpose of this step is to allow us to evaluate your level of experience, and of course to ensure we are enrolling motivated students. If you find yourself struggling, just send us a line. We’re here to help, particularly if you’re inexperienced!
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INTERVIEW
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(30 min)
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Time to get to know each other! Schedule a 30 minute interview with one of our Admission Managers and introduce yourself. We’ll want to know a little bit more about you, particularly what makes you get up in the morning and why you want to learn to code. You can also ask any questions of your own, or clarify anything you’re still uncertain about.
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Got questions?
How does your background relate to tech? What about transferrable skills, funding options, or career goals? Let's schedule a quick 10 minute call to get all your specific questions answered. -
Need more information?
To Assist You
Get in touch with us, and we will be more than happy to answer all of your questions.
We will get back to you as soon as possible.
Your WBS CODING SCHOOL Team