Be a Data Science Expert
Learn From The Masters
Want to become data literate by building your knowledge in data science, AI, machine learning, and programming languages or to get a high-paying job
You are just one step away
Why Learn Data Science?
You probably have landed here because you are interested in data science.
Big Data has revolutionized companies and given them an edge in the competition. Companies in this fourth industrial revolution need specialists proficient at handling, managing, analyzing, visualizing, and communicating trends in data.
This has created the pressing need for hiring more data scientists.
With this scarcity and high demand for data professionals, companies pay huge figures to experts who can help them derive business insights from their massive data.
So,
Learn data science to tap this opportunity, fill up the huge discrepancy in demand and supply of data scientists and enrich your career.
This course covers all the fundamentals of data science, machine learning, and related topics like:
- Basic statistical modeling techniques
- Overview of machine learning methods
- Understanding how data science fits into the decision making of a company
- How to get a job as a data scientist and shine during job interviews
Who is Heading this Course ?
Stylianos Kampakis, PhD
Dr. Kampakis is one of UK's most prominent data experts with 10 years of experience in data science, and AI.
He has taught multiple courses and boot camps ranging from technical professionals to executive-level workshops.
He also collaborates and shares his expertise with London Business School, UCL, Cambridge University's Judge Business School, the University of Law, Nile University, and the Cyprus International Institute of Management.
Published author with two books to his name.
This course is an accumulation of his years of handling and maximizing data. You're welcome to learn from his mastery of data.
Who is this course for?
This program is ideal for all kinds of people like:
- Business analysts looking to advance their data analysis skills
- Programmers who want to up-skill
- STEM graduates ready to take their skills to the next level
- Professionals wanting to switch career paths and get a shot in data science
- Stay-at-home parents looking to become more employable in the saw of data science
- Students who want to find a well-paid remote job in data science
Course structure and requirements:
What is the premium ticket?
The premium ticket is the best option for all those who want to pursue a career in data science. It involves a CV and LinkedIn makeover and more extensive career coaching and mentoring by Dr. Stylianos Kampakis.
How is the course structured?
This is an online-assisted learning course. This means that you’ll study at your own pace while at the same time being offered unlimited close assistance by a mentor.
What are the requirements?
There are no special course requirements, and prior knowledge in data science is not mandatory. However, familiarity with coding is preferred and will help you quickly blend in.
How much time should I invest?
You can spend as few as 4 hours and as many as 20-30 hours on this engaging course. It depends on your availability and personal/professional goals.
What is the full structure of the course?
The structure is as follows
Kick-off call to get introduced to the boot camp and the learning platform
Straight after the kick-off call, you can define a project challenge to work on. The project can be something related to your work or some personal project. If you’ve no clearly defined project in mind or a data-related problem, the mentor can guide you.
You get the chance to absorb the content. There is unlimited 24/7 mentoring provided, during which you can freely interact with the mentor over Zoom or Discord.
Once this period is over, the students reconvene with the mentor for a final call, where everyone can review what they did and decide how to proceed with their project after the program is over.
Mentoring and coaching do not stop! We help you craft a compelling CV and portfolio and provide you with resources and guidance on succeeding in interviews, boosting your portfolio, and whatever else you need to land a job in data science.