Turing College

I'm finishing the last parts of the Turing College Data Analytics course and want to share my experience with those who are considering joining.

Community:
The colleagues and lecturers I have met are goal-oriented and very motivating. Studying is not easy,... Read More but with the support of others, even if you need encouragement, the journey becomes much easier. And if you have any questions about your studies, Turing College offers several ways to get help very quickly.

Flexibility:
This was very important for me personally to be able to plan my study time and reviews of projects by myself.

Study materials and projects:
I can say that the study material covers all the information needed for the subject and even encourages you to go deeper if you want. In addition, you can put this knowledge into practice in projects (which are challenging) that are reviewed by experts in the field. And that's great, because they review your individual work and give you feedback based on their practical experience. You will also get invaluable advice that will help you continue to perform better as a professional.

So, in conclusion, Turing College has exceeded my study expectations and I would recommend it to anyone who wants to become a data analyst and join this community.

I recently completed the Data Analytics program at Turing College, and I highly recommend it for anyone aiming to excel in data analytics, particularly in IT and e-commerce. Here’s what makes Turing College exceptional:

Real-World Preparation: The curriculum... Read More is designed to get you ready for a Data Analyst role. From day one, you work on projects that reflect real-world challenges, making the transition from learning to working smooth.

Hands-On Experience: The emphasis on practical work is fantastic. I completed 14 real-life projects, each reviewed by senior industry professionals. These projects covered the entire data analysis process, from business problem to providing actionable insights and recommendations.

Mastering Essential Tools & Techniques:
Databases: SQL, MySQL, BigQuery
Data Visualization: Google Sheets, Dashboards, PowerPoint, Tableau, PowerBI
Analytical Methods: Data cleaning, Cohort analysis, Churn analysis, Funnel Analysis, Customer segmentation, RFM & CLV
Statistics & Machine Learning: A/B testing, Linear regression, Logistic regression
Programming: Python, Pandas, Numpy, Matplotlib, Seaborn, Plotly, EDA

Strong Foundations: The program provides a solid base in statistics and machine learning, essential for any aspiring data analyst.

Supportive Environment: The 1-on-1 project reviews, weekly stand-ups with STLs, open sessions with JTLs, workshops and conferences. They offered constructive feedback and helped refine my skills.

Career Support: Turing College's endorsement process and hiring support are outstanding. This crucial link between education and employment significantly enhances your job prospects.

If you're serious about a career in data analytics, Turing College is an excellent choice. The rigorous training, practical experience, and robust support network ensure you're well-prepared to excel in your future role.

I'm glad I joined the data analysis program - the material is really interesting - the best videos on the topics have been selected for students. The program really gives you practice as each sprint ends with a project that has to be evaluated by other... Read More students and people who are professionals and have been working in the field for a long time. And at the end, you will have a decent portfolio that you can show to employers. Plus, the community is amazing - people are very helpful and friendly, and there are often community gathering events organized. Highly recommended if you are looking for a legitimate, 100% online, quality way to learn that focuses on the practical side of data analysis rather than bold theory.

The community is not only welcoming and supportive but also a fantastic place to acquire and hone new skills. Everyone is eager to help, share knowledge, and collaborate on projects. There are numerous workshops, webinars, and hands-on projects that cater... Read More to a variety of interests and expertise levels. The learning resources are top-notch, and the mentors are very knowledgeable and approachable.

Turing College exceeded all expectations with its flexible, self-paced courses which allowed me to balance my professional and personal commitments while making steady progress. The numerous hands-on projects were instrumental in building a robust portfolio... Read More that showcases real-world applications of the skills that I acquired while learning. What truly sets Turing College apart from other coding schools is the personalized mentorship from data professionals.

After 20 years in administrative work, I decided to change my career. I chose the Data Analytics course at Turing College, and I found the program extremely useful. The curriculum is well-designed, demanding and regularly updated. I appreciated the strong... Read More focus on hands-on application, using real-world problems to practice the concepts learned. I gained significant confidence in SQL, learned Tableau and Python, improved my soft skills, and acquired essential data analytics knowledge.

What truly sets Turing College apart is its exceptional community. The supportive and inclusive environment, with active participation from individuals at all experience levels, accelerates learning beyond what one could achieve independently.

The structured learning path, with clear deadlines, material to study, tasks to complete, peer and senior reviews, and weekly standups, encourages commitment and effort.

Additionally, the staff's support is outstanding—they are always ready to assist promptly and kindly. Thank you all!

Data Analytics: started in August 2023, expect to finish in August 2024.

Turing College gives a strong foundation in SQL, Tableau/Power BI and Python, has an excellent community of peers and mentors in industry, practical tasks that simulate the day-to-day... Read More role of a data analyst, and constant support throughout the job hunting process.

Positives:

1) The syllabus is strong and always being updated.

Students are exposed to SQL in their first month of studies, going from beginner to advanced in a couple of months. (The final SQL project in the second month is the most advanced SQL task I have come across, so after completing that, my SQL skills were elevated to the level expected for a junior data analyst. Turing ensures that we build on and reinforce those SQL skills in later modules, to the point where I now feel very confident in my technical skills).

As for Python, when I joined the module was just over a month long, so I have some basic knowledge of Python, enough to apply to logistic regression and risk analysis. Recently, however, Turing has updated the syllabus to put more emphasis on the importance of students having strong Python skills, so the module has now been expanded to a three-month module. I think this is excellent and shows that Turing has its finger on the pulse of current industry trends and requirements.

2) Industry professionals are easy to access and provide great mentoring.

With a couple of exceptions, every project (between 10 and 15, depending on the specialisations you choose) is reviewed by an industry professional (from companies such as IBM, Vinted, Western Union, etc…), so you get very detailed feedback, an insight into how this project would be approached in the real world, and an opportunity to build a relationship with a potential mentor.

3) The community is very active and supportive.

Open sessions are held multiple times a day to help learners if they’re stuck on a project, while weekly standups give learners a chance to interact with other people who started at the same time as they did (in the presence of an industry mentor), which helps foster a great community feel.

Even though the studies are online, I have made a new friendship group from my studies, something that I haven’t experienced when studying online elsewhere (e.g. in my MSc programme at university).

There are also dedicated weekly standups for those who are in the endorsement and hiring stage, which helps to guide you during the job search.

Any negatives?

I have heard the occasional complaint about the quality of some peer reviews, but I would say this is the exception rather than the rule. All of my peer reviews have been good, many have been exceptional, and anyone reviewing your work must have passed the project already, which gives some quality control.

I would be wary of expecting to finish the programme in the time it says on the website. It says 6-10 months for the data analytics programme, but 10 months is more realistic than 6. Those who finish in 6 may complete the core modules, but if you want to get the most out of the programme I think it makes a lot of sense to take as many specialisation modules as you can (of which Python is one), so you should assume it will take longer than you think.

Will it get me a job?

I can’t speak from my experience, because I’m not at the stage where I’m applying, but a few people from my batch have already landed data analyst jobs, despite not yet finishing the programme. Turing’s endorsement/hiring preparation process is rigorous, and from speaking to friends outside of Turing, we learn more in-depth SQL at Turing than we would need in our day-to-day job, so I’m confident that the transition from Turing to the job market will be smooth.

As with many things, you get out what you put in. If you’re dedicated to switching careers into data analytics, I'm confident that you will find the programme at Turing very rewarding.

I recently completed the Data Analyst course at Turing College and highly recommend it. The curriculum is comprehensive and up-to-date, blending theory with practical application. The instructors are industry professionals who explain complex concepts... Read More clearly and are very supportive.

The online platform is user-friendly, with interactive quizzes and hands-on exercises that kept me engaged. The community support, including forums and stand-ups, fostered collaboration and problem-solving.

Overall, Turing College offers an excellent learning experience for aspiring data analysts, combining quality instruction, practical experience, strong community and career support if needed. Highly recommended!

The key aspect for me is the possibility of merging learning and working knowledge. I'm glad I joined the Data Analyst course to get materials and knowledge for my upcoming works!

Big thumbs up for the flexibility; the community and STLs are MVP stuff!... Read More

Don't miss a chance to take your skills to the next level!

I highly recommend the Data Science Program at Turing College. The program is well-structured, self-paced, and the support from the college is exceptional. They are quick to help rather than being stubborn, ensuring that any issues or questions are promptly... Read More addressed.

One of the standout features of the program is the availability of the Junior Team Leads (JTLs), who are accessible almost all day, every day. This constant availability is crucial for maintaining a steady learning pace and addressing doubts as they arise. The Senior Team Leads (STLs) are available on specific days, and both the JTLs and STLs are incredibly helpful and respectful.

The program offers a wealth of material sourced from different universities and resources, which greatly aids in understanding the various subjects covered. The weekly standups are particularly beneficial, providing valuable insights into the progress of the program and helping students stay on track.

The STLs come from various industries and are involved in real projects, making them perfectly suited to guide students through the program. Their real-world experience adds significant value to the learning process, bridging the gap between theoretical knowledge and practical application.

Overall, Turing College's Data Science Program is a comprehensive, well-supported, and flexible educational experience that I would recommend to anyone interested in pursuing a career in data science.