Gain a practical understanding of the techniques associated with data engineering using python programming to become certified data scientists.
Python for data engineering primarily consists of data manipulation such as restructuring, integrating, and connecting widely divergent sources, as well as comparatively tiny ETL, API interaction, and automation. The Academy of Computing & Artificial Intelligence designed the Data Engineering with Python online certification, which Udemy presents for applicants who want to learn how to develop effective data architecture, streamline data processing, and maintain large-scale data systems.
Data Engineering with Python online classes offers 14 hours of comprehensive lectures supported by downloadable resources and 3 articles that aims to help the applicants to improve their python programming skills to move into domains such as data science, machine learning, and artificial intelligence. Data Engineering with Python online course discusses supervised learning, unsupervised learning, clustering, logistic regression, linear regressions, random forest, trees, naive Bayes, and more.
Yes
Udemy
After completing the Data Engineering with Python certification course, applicants will gain a hands-on understanding of the techniques associated with python programming and Keras for data engineering and data science activities. In this data engineering course, applicants will explore the fundamentals involved with software design, data preparation, data pre-processing, data visualization, machine learning, supervised learning and unsupervised learning, and artificial neural networks. In this data engineering certification, applicants will learn about concepts and strategies involved with univariate linear regression, multivariate linear regression, naive Bayes classifiers, logistic regression, support vector machines, random forest, trees, clustering, and k-means clustering.
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