Are you interested in the field of data science? Do you want to learn how to use the scientific libraries of Python to analyze data? Udemy offers training that will allow you to discover this discipline currently highly sought after by recruiters in the IT field.
Data science, or data science, aims to perform automatic sorting and analysis operations on large sets of data to extract useful information. Currently in full development, this discipline is based on mathematical, computer and statistical concepts. It is particularly used in the research sector, for the study and promotion of scientific results, but also in the private sector which wishes to exploit large masses of information. To analyze their data, data analysts frequently use the computer language Python and more particularly the scientific libraries NumPy, Pandas and Matplotlib. These tools allow you to easily visualize and analyze data in Python, manipulate and process it. Whether you are a beginner in programming wishing to discover the field of data science or an analyst wishing to develop your career by improving your skills in the use of Python libraries, the Data Science training: Data analysis with Python is made for you!
Enter the field of data science by taking the training in data analysis with Python
With more than 10 hours of online lessons and many downloadable resources, the Data Analysis with Python training will allow you to discover or improve your Python language and enter the world of data science. The courses, particularly oriented towards the NumPy, Pandas and Matplotlib libraries, alternate between theory and practice, with many exercises, challenges and projects. With NumPy, you will learn how to analyze data by performing comparisons or mathematical operations. With Pandas, you will discover how to handle and sort large masses of data. At the end of the training, you will be able to analyze and process data globally, but also build graphs and diagrams with Matplotlib to visualize them. This training does not require any particular prerequisite, even if some knowledge of Python is a plus. Whether you want to orient yourself as a data scientist, data analyst or developer, this training will give you all the essential skills to develop your professional project.
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