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Learning by doing
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Trainers with practical experience
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Classroom training
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Detailed course material
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Clear content description
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Tailormade content possible
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Training that proceeds
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Small groups
Data Science, Data Analysis and Machine Learning are disciplines that create value from large amounts of data using programming languages. The applications are numerous and the demand for knowledge about these techniques is enormous. SpiralTrain provides classroom and advanced Data Science training in Python, R and Java. Visit our LinkedIn, Facebook or Instagram page for an impression of SpiralTrain. Click on the links below for more information about the courses and the schedule.
Data Science is a field that has gained momentum in recent years. It is about finding complex patterns in large data sets that you cannot find with traditional analysis tools. You build a model to detect, analyze and validate those patterns. The Data Science process consists of a cycle of steps. Data is generated and stored in databases at any time of the day. In order to obtain the correct model, you must determine which data is relevant. Rearranging, filtering and transforming data is done using a programming language.
With languages such as Python and R, the data is transformed into models that can be used when making predictions. After the data has been prepared and transformed, the Data Analyst can start working with statistics. By making causal connections, a Data Analyst can then make predictions. A commonly used statistical method to measure causal relationships is regression analysis.
In addition, predictions can also be made using Machine Learning where predictions are made by algorithms that are self-learning. Finally, the data is visualized. This is an important step because connections and dependencies are often only visible when they are visualized.
These companies already made use of our courses:
These companies used our courses:
