Get in touch
Our team is at your service
Or call +31 (0)20 760 9844
Do you want to boost your career by learning THE programming language for Data & AI? Do you find it hard to know to learn from scratch without guidance and would like experienced trainers that lead you along the journey? Come to this course to gain experience with Python and leave empowered to start boosting your career by applying this new skill!
Are you familiar with some other language or is Excel your bread and butter? Do you want to become more productive and empowered by learning the most popular programming language in the Data & AI space? Do you enjoy having industry experts guide you through new concepts by teaching you the best practice? Then this Python for Data Analysts training is a good fit for you!
Our training partner GoDataDriven believes that you cannot learn without immediately applying the material. That is why all our courses have — besides lectures and examples from our consultancy experience — extensive exercise to give you confidence in the material.
This Data Science training is brought to you by our training partner GoDataDriven. GoDataDriven's experts in their field who are always on the lookout for innovative ways to get the most out of data. Your trainer is a data guru who enjoys sharing his or her experiences to help you work with the latest tools.
Start your Data Science Learning Journey with this Python for Data Analysts course. Then move the other Foundation courses, such as the Certified Data Science with Python Foundation and the Certified Analytics Translation courses. Continue your journey with the Advanced Data Science with Python and Deep Learning course. If you want to proceed to Expert level, register for the 3-day Data Science with Spark course and learn all about doing Data Science at scale.
After registering for this training, you receive a confirmation email with practical information. A week before the training, we ask you about any dietary requirements and share literature if there's a need to prepare. See you soon!