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We're here to help you find itData Science and Machine Learning: Mathematical and Statistical Methods Course Overview
The "Data Science and Machine Learning: Mathematical and Statistical Methods" course is designed to provide a comprehensive foundation in the key mathematical and statistical concepts necessary for data science and machine learning. It covers a broad spectrum of topics that will equip learners with the skills to analyze data effectively and build predictive models. The course starts with basic statistical measures, such as mean, median, mode, and extends to more complex topics like outlier detection, hypothesis testing, and various types of machine learning algorithms including regression, classification, and clustering.
By delving into these areas, learners will gain proficiency in important tools for data analysis, such as BoxPlot analysis, correlation coefficients, and A/B testing. The inclusion of modules on advanced topics like Naive Bayes, ROC curves, and hyperparameter tuning ensures that participants are well-prepared for real-world data science challenges. This data science and machine learning certification is ideal for those seeking to enhance their skill set in machine learning and data science courses and pursue a career in this dynamic field.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
USD 199+
USD 19+
USD 59+
♱ Excluding VAT/GST
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To ensure you are well-prepared and can get the most out of the Data Science and Machine Learning: Mathematical and Statistical Methods course, the following prerequisites are recommended:
Please note that a deep expertise in mathematics or programming is not required to begin this course; however, a foundation in the above areas will enable you to grasp the concepts more quickly and fully.
This course offers an in-depth exploration of data science and machine learning through mathematical and statistical methods. Ideal for analytics-focused professionals.
Target Audience and Job Roles:
This course aims to equip students with a thorough understanding of statistical methods and machine learning techniques essential for data analysis and predictive modeling.