Turing College

Course Description:

The course is ~480 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 ~3000 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:

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

Tuition: Learners can pay one up-front payment of €5000, make monthly installments of €500 for 12 months, or defer payment until they are working via an Income Share Agreement (ISA)

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