Turing College

Course Description:

The course is ~700 hours of learning built to equip students with the knowledge needed to kick off a data analyst career. We have built a course having specific data analytics specializations’ in mind like product, marketing, monetization, risk, and financial analytics. After the course, students can use a career placement service that helps a student to land a job.

The course price is ~4200 EUR depending on the tuition option. Scholarships are available.

Subjects:

1. Core analyst toolkit
Structured approach to data analysis, SQL and databases, Spreadsheets.

2. Analyzing business problems
Product analytics, marketing analytics, monetization analytics, risk analytics, financial analytics.

3. Main analysis types
Cohorts, retention, funnels, AB tests, CLV, Customer Segmentation, RFM.

4. Communicating analysis results
Data Studio, Powerpoint.

5. Advanced analyst toolkit (optional)
Python and data visualisation with Python.

6. Capstone Project
Create a project to have in your portfolio that covers everything that you have learned.

Subjects:
Database Management, A/B Testing, Python, Data Analytics, SQL, Data Visualization

Course Description:

The course is ~700 hours of learning built to equip students with the knowledge needed to kick off their data engineering career. The course focuses heavily on learning data engineering through hands-on projects using real data. Learners complete at least 9 projects and 3 capstone projects, and build an interview-ready portfolio you can show to tech companies. Flexible graduation timeline allows people with different backgrounds to join and succeed at the course.

The course price is ~€4,740 EUR depending on the tuition option. Scholarships are available.

Modules
- Introduction to Data Engineering
- Intermediate Python and Git, Relational Databases & SQL.

- Fundamentals of data engineering]
- Advanced Python and Linux Shell Commands, Managing Relational Databases and Advanced SQL, Working with Data Pipelines and Apache Airflow.

- Intermediate data engineering
- Data Warehousing and dbt, Intro to MLOps, Docker and Working with Containers.

- Specialisation module
- Work on real-life data engineering projects and build a portfolio. Specialization modules available: AWS, GCP, Hadoop Ecosystem.

Course Description:

Our course is created with our Hiring Partners. Thus, you work on projects and challenges that real data scientists tackle every day. Your best projects are added to the portfolio to share with future employers. The Turing College Data Science course consists of 6 modules. 4 curriculum modules and 2 specialization modules. The first 4 modules cover the essential topics in Data Science, while the two specialization modules allow our learners to really practice these skills, gain real work experience in specific industries and create a portfolio that our hiring companies will value.

The main topics learned are:
- Exploratory data analysis
- Modeling
- Software engineering
- Statistics and mathematics

The main technologies used are:
- Machine learning frameworks (e.g., scikit-learn, XGBoost)
- Deep learning frameworks (e.g., PyTorch, fast.ai)
- Python
- Visualisation libraries (e.g., seaborn, matplotlib)
- SQL

Duration: Our education is self-paced. This means that our expected times to graduation are only reference points and the actual time depends on the intensity of study. For example, learners who are working hard and learning quickly could graduate in a little as 28 weeks regardless of whether they’re enrolled in part-time or full-time studies.

Subjects:
Python, Machine Learning, Data Analytics, SQL, Data Visualization, Data Science

Course Description:

The course is ~1200 hours of learning built to equip students with the knowledge needed to kick off their web development career. The course gives first gives strong fundamentals of both front-end and back-end development and then allows heavy specialisation into one of these directions. A learner finishes the course with great theoretical knowledge and practical experience of a particular tech stack that are required by real companies. Furthermore, the course focuses on developing soft skills for a successful career as well. Flexible graduation timeline allows people with different backgrounds to join and succeed at the course.

The course price is ~€5,386 depending on the tuition option. Scholarships are available.

Modules
- Introduction to Programming and Computer Science
- Learn how to approach problems like a programmer in an organized step-by-step manner. The programming language Python will be used to learn core concepts such as algorithms, data structures, clean code, version control and much more – all of which is used in virtually all languages. Knowing these topics will give you a strong foundation for learning the other languages used in web development.

- Introduction to Front-end development
- Get a basic understanding of how the visual part of a web page works and start building one yourself! By learning HTML, CSS, Javascript and your first front-end framework, you will have all the necessary tools to create your first basic website using code.

- Introduction to Back-end development]
- Learn how to create databases and servers, and connect them to the front-end part of your website. Understand how to build your own APIs and make them easy to use. Furthermore, learn how the full development team works in most companies using the scrum methodology. By the end of this module, you will be able to build a fully working website and decide which specialization interests you more - Front-end or Back-end.

- Specialisation module: Front-end or Back-end specialization
- Learn advanced front-end or back-end development topics. Through a large-scale practical project get all the experience needed to become a junior front-end or back-end developer. The project you create will be unique and showcase everything you have learned – an ideal portfolio item that will make you truly stand-out from other applicants.