Part - the smallest piece of the curriculum,a notebook requiring ~10 hours of study time. Usually, 5 Parts make up a Sprint. A Part can contain a Project requiring corrections (usually the 5th part of a regular Sprint) or theoretical knowledge with some practical exercises and a quiz (usually the first 4 Parts of a Sprint). To progress further in the courseprogram, either a quiz or a correction needs to be completed.
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Specialisation module - a module that a learner chooses from a pool of options depending on the data roles and companies that they plan on applying to. The module covers the tools, skills and technologies needed for specific roles or companies. Most specialisation modules are prepared in cooperation with our Hiring Partners. The whole module is primarily a practical project, although you are likely to need to learn certain new concepts while completing it. Takes about 200 hours to complete.
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Program Structure*
Module 1: Data Wrangling with Python | |
Sprint 1 | Python Mastery |
Sprint 2 | Data Processing with NumPy and Pandas |
Sprint 3 | Data Visualization with Python |
Sprint 4 | Capstone Project |
Module 2: Data Analysis | |
Sprint 1 | Understanding and Visualizing Data with Python |
Sprint 2 | Inferential Statistical Analysis |
Sprint 3 | Statistical Modeling |
Sprint 4 | Capstone Project |
Module 3: Machine Learning | |
Sprint 1 | Supervised Machine Learning Fundamentals |
Sprint 2 | Gradient Boosted Trees & Feature Engineering |
Sprint 3 | Unsupervised Learning & Hyperparameter Tuning |
Sprint 4 | Capstone project |
Module 4: Deep Learning (optional) | |
Sprint 1 | Computer Vision |
Sprint 2 | Natural Language Processing |
Sprint 3 | Practical Deep Learning |
Sprint 4 | Capstone Project |
Full detailed structure, as of 2022-02 can be found below. Note, however, that the course program is being constantly updated and improved, so the structure is very likely to change.
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*Turing College reserves the right to update and (or) amend the course program curriculum and its structure as well as release new course program versions. |
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Specialisation modules
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Acting as an impressive portfolio items to show to employers
An opportunity to get a taste of what projects and work will look like at specific companies
Deepening your knowledge in a specific area that you have learned about so far in the courseprogram
Learning new things that are required by specific specialisations or companies
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You get to choose specialisation modules after you complete the first 4 modules of the courseprogram. All specialisation modules will be available to choose from and Turing College team will be ready to advise you on which could potentially best suit you. Some things to take into account are:
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Teamwork is still an important part of your learning experience here and there are plenty opportunities to practice it. We encourage throughout the whole course program to regularly help and get help from other learners, organise study groups and build a useful network of colleagues.
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