WBS CODING SCHOOL

Course Description:

Upskill into a professional expert of Artificial Intelligence with our AI for Business Course. You will learn how to harness the most powerful AI tools available now, how to implement them in your own professional domain, and how to optimise them for content creation, analytics, coding, teamwork, and more. Far from a micro-engineering course exclusive to programmers, this is an upskilling course for everyone, inclusive of a subscription to ChatGPT Plus and offering 300 hours of live, instructor-led lessons. Lead the AI revolution!

Agile, Algorithms, Artificial Intelligence, Chat GPT, Generative AI, Machine Learning, Natural Language Processing, Neural Networks, Project Management, Scrum

Course Description:

Our Data Analytics Bootcamp will position you at the forefront of this dynamic and ever-growing field. You will become proficient in the skills, tools and techniques to organise raw data and transform it into actionable insights that drive business decisions. You will work on hands-on projects designed to simulate real-life work environments, under the careful eyes of expert instructors.
Designed expressly for the modern job market and with a curriculum that is constantly updated and reviewed, the Data Analytics Bootcamp will equip you with the precise skills to kick off a career in the data industry – and therefore, in every industry.

Business Analytics:
SQL, Tableau, Python, Pandas.

Statistics & Data Engineering:
A/B Testing, Inferential Statistics, Data Acquisition, Data Cleaning, Data Visualisation

Advanced Data Anlytics skills:
Unsupervised Learning, Advanced SQL, SQL Interview prep

Career Service:
Interview preparation, CV and LinkedIn profile optimization, portfolio build-up, guest speaker talks

Subjects:
Analytics, Python, Tableau, SQL, Data Visualization, Data Cleaning, Data Acquisition, Statistics & Probability,

Course Description:

Our Data Science bootcamp trains students in data gathering, interpretation, and management, emphasizing their application in business. It covers essential Data Science technologies and programming languages, including an in-depth introduction to machine learning, a key area of artificial intelligence. The curriculum is practical, focusing on employable skills in data interpretation, visualization, and machine learning. Students will also explore modern web development, preparing them to expand their tech capabilities. The bootcamp culminates in a team-based, real-world coding project, simulating a tech company environment, to build a portfolio for prospective employers.

Business Analytics:
SQL, Tableau, Python, Git, Github, Pandas, Matplotlib, Seaborn
Statistics & Data Engineering:
A/B Testing, Inferential Statistics, Data pipelines, APIs, Cloud
Machine Learning:
Unsupervised Machine Learning, Supervised Machine Learning
Applied Data Science:
Recommender Systems, Advanced SQL
Career Service:
Interview preparation, CV and LinkedIn profile optimization, portfolio build-up, guest speaker talks
Subjects:
Git, Github, Matplotlib, API, Python, Machine Learning, SQL, Data Visualization, Data Science, Statistics & Probability, Big Data, Data Mining, Pandas, Cloud Computing

Subjects:
Git, Github, Matplotlib, API, Python, Machine Learning, SQL, Data Visualization, Data Science, Statistics & Probability, Big Data, Data Mining, Pandas, Cloud Computing

Course Description:

A Part-Time Data Science bootcamp held on evenings and on Saturdays, teaching our students how to gather, read, interpret, manage and understand data, particularly in the context of modern business. A variety of modern technologies and computer languages crucial to Data Science are taught in depth in the curriculum. 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. Classes will last three hours on Monday, Wednesday and Thursday, complemented with a full day of teaching on Saturday.

Business Analytics:
SQL, Tableau, Python, Git, Github, Pandas, Matplotlib, Seaborn

Statistics & Data Engineering:
A/B Testing, Inferential Statistics, Data pipelines, APIs, Cloud

Machine Learning:
Unsupervised Machine Learning, Supervised Machine Learning

Applied Data Science:
Recommender Systems, Advanced SQL

Career Service:
Interview preparation, CV and LinkedIn profile optimization, portfolio build-up, guest speaker talks

Subjects:
Git, Github, Matplotlib, API, Python, Machine Learning, SQL, Data Visualization, Data Science, Statistics & Probability, Big Data, Data Mining, Pandas, Cloud Computing

Subjects:
Git, Github, Matplotlib, API, Python, Machine Learning, SQL, Data Visualization, Data Science, Statistics & Probability, Big Data, Data Mining, Pandas, Cloud Computing

Course Description:

Our full-time program transforms students into job-ready Full-Stack Web & App Developers, with graduates often becoming Junior Developers quickly. The curriculum covers a wide range of technologies, offering a strong foundation in modern web development. This practical-oriented bootcamp emphasizes hands-on learning over theory, preparing students to expand their tech skills with new technologies, languages, and frameworks. The course culminates in a real-world coding project, completed in teams to mimic tech company conditions, enabling students to build a portfolio for potential employers.

Frontend:
HTML5, CSS3, Javascript, React.js, React Native
Backend:
Node.js, APIs (REST, GraphQL), Databases (SQL/NoSQL)

Tools:
Console, Git and GitHub, Mobile Development (React Native)

Best Practices:
UX/UI Fundamentals, SEO for developers, DevOps (Monitoring, CI/CD, Deployment), Software Testing, Agile Methodologies (Scrum), Project Management

Career Service:
Interview preparation, CV and LinkedIn profile optimization, GitHub portfolio build-up, guest speaker talks

Subjects:
CSS, Git, HTML, Github, SEO, NoSQL, Scrum, GraphQL, Project Management, API, UI Design, React.js, SQL, Node.js, JavaScript, UX Design, DevOps, React Native, REST, Web Development

Subjects:
CSS, Git, HTML, Github, SEO, NoSQL, Scrum, GraphQL, Project Management, API, UI Design, React.js, SQL, Node.js, JavaScript, UX Design, DevOps, React Native, REST, Web Development

Course Description:

Organized around online classes taking place on evenings and on Saturdays, the Part-Time Full-Stack Web & App developer bootcamp equips students with a broad range of skills and technologies in cutting-edge web development, while leaving them the freedom to organize their time. The part-time bootcamp is ideal for those who would like to start a career in tech with no prior experience, but it also offers a perfect opportunity for those already in a tech-related field who are looking to add certified skills to their profile. The schedule is designed expressly for students who already have a busy routine. Classes will last three hours on Monday, Wednesday and Thursday, complemented with a full day of teaching on Saturday.

Frontend:
HTML5, CSS3, Javascript, React.js, React Native

Backend:
Node.js, APIs (REST, GraphQL), Databases (SQL/NoSQL)

Tools:
Console, Git and GitHub, Mobile Development (React Native)

Best Practices:
UX/UI Fundamentals, SEO for developers, DevOps (Monitoring, CI/CD, Deployment), Software Testing, Agile Methodologies (Scrum), Project Management

Subjects:
CSS, Git, HTML, Github, SEO, NoSQL, Scrum, GraphQL, Project Management, API, UI Design, React.js, SQL, Node.js, JavaScript, UX Design, DevOps, React Native, REST, Web Development

Subjects:
CSS, Git, HTML, Github, SEO, NoSQL, Scrum, GraphQL, Project Management, API, UI Design, React.js, SQL, Node.js, JavaScript, UX Design, DevOps, React Native, REST, Web Development

Course Description:

A bootcamp to teach the specific skills involved in UX/UI design and combine them with the business understanding of a Product Designer, becoming the most complete and versatile type of professional in the field. Students will acquire all the skills necessary to work in a professional setting, but also understand how to talk with clients, experts and investors. By the end of the bootcamp, students will have developed a solid design portfolio ready to show to prospective employers.

UX Phase:

Design Thinking, Human-centered Design, Agile Teams, User Empathy tools, Information Architecture, feedback soft skills, Team Building Skills, Learning to work with peers, Stakeholders and SMEs

UI Phase:

Design Principles and Brand, Style guides and component structure, Design Systems, App Design, Web Design, E-Commerce & Dashboards, Design with Data, Prototyping & Interaction Design

Project Management:

Business Analysis, Competitive Analysis, Environment and Market Fit, Product Strategy, Feature prioritization, Product Planning, Product Life Cycle and Product Future, Product Analysis, OKRs, KPIs, etc.

Accessibility Design:

Limit scenarios, Design Ethics, Fringe Design

Career Service:

Interview preparation, CV and LinkedIn profile optimization, portfolio build-up, guest speaker talks