February 12, 2024 (English)
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Learn Data Science and machine learning by studying in the evenings and on Saturdays!
FORMAT | 100% ONLINE |
DURATION | 26 weeks 24 weeks of classes Mondays, Wednesdays, and Thursdays 18:30 to 21:30 (CET) |
LANGUAGE | English |
Mastering the tools used in big data and AI can significantly boost your career – but you don’t have to quit your job to learn.
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 also master machine learning, which is the foundation of modern AI systems.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Time to start learning about AI. 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.
Build one of the most popular types of AI software: 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!
Choose a topic that suits your career objectives to master and broaden the skills that you will need in your job applications. Create a top-notch unique data portfolio with the guidance of our instructors.
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.
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.
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.
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 Preparation Program
Get ready with our structured Career Preparation Program, a comprehensive, self-paced online course to get the job.
Feedback and Support
Get professional feedback on your CV, your cover letter and your LinkedIn profile from our Career Service Expert, and let them answer any question you may have.
Networking
Gain access to our community events and connect with industry experts and employers. These take place outside of your class hours and will never overlap with them!
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.
A guide for complete beginners who are wondering if this is the right discipline for them
September 1, 2023
10:00 – 11:00 CEST
This talk is the perfect starting point for anyone who is thinking of learning web development.
Led by our instructor Enrique, we will delve into what web development bootcamps are like, covering everything from effective learning methods to embracing a growth mindset.
WHERE: Online
Please register at MeetUp to attend this online event
September 12th, 2023
16:30 – 18:00 CET
Our first ever Virtual Open House is finally here!
This online group event is a unique opportunity to learn about WBS CODING SCHOOL and its cutting-edge bootcamps in Web & App Development, Data Science, UX/UI Product Design, and Marketing Analytics.
WHERE: Online
Please register at Meetup to attend this online event.
October 5th, 2023
11:00 – 12:00 CET
Meet our Data Science expert and use the chance to ask them all the questions you have about our Data Science Bootcamp.
WHEN: October 5th, 2023
11:00 – 12:00 CET
WHERE: Online
Please register at Meetup to attend this online event.
December 18, 2023
16:00 – 17:00 CET
Meet our Data Science expert Guillem and take the chance to ask him all the questions you have about our Data Science Bootcamp.
Includes:
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.
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.
Jan 26, 2024
Feb 12, 2024 – Aug 10, 2024
Mar 22, 2024
Apr 8, 2024 – Oct 5, 2024
May 17, 2024
Jun 3, 2024 – Nov 30, 2024
Our application process is designed to guide you, gently but clearly, into the course you want to take. Just follow these three steps:
(2 min)
Fill in our Application Form with your personal details and get immediate access to the coding challenge.
(10 min ~ 30 min)
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!
(30 min)
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.
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
