Executive Development Programme in Math Software for Data Scientists
-- ViewingNowThe Executive Development Programme in Math Software for Data Scientists certificate course is a comprehensive program designed to empower data science professionals with advanced mathematical skills and software expertise. This course is crucial in today's data-driven world, where organizations increasingly rely on data science to drive decision-making and innovation.
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⢠Math Software Fundamentals: Understanding the basics of math software and its importance in data science. Includes an overview of popular math software like MATLAB, R, and Python libraries.
⢠Data Manipulation with Math Software: Learning how to manipulate and clean data using math software for further analysis. Covers concepts like data importing, exporting, and subsetting.
⢠Statistical Analysis with Math Software: Mastering statistical analysis techniques using math software. Topics include descriptive statistics, probability distributions, and hypothesis testing.
⢠Linear Algebra and Calculus with Math Software: Applying linear algebra and calculus concepts using math software to solve real-world data science problems. Covers matrix operations, derivatives, and integrals.
⢠Data Visualization with Math Software: Creating effective visualizations using math software to communicate data insights. Topics include charting, plotting, and customizing visualizations.
⢠Machine Learning with Math Software: Implementing machine learning algorithms using math software. Covers regression, classification, clustering, and neural networks.
⢠Optimization Techniques with Math Software: Learning optimization techniques using math software to improve data science models. Covers linear programming, nonlinear optimization, and constrained optimization.
⢠Big Data Analytics with Math Software: Analyzing big data using math software. Covers distributed computing, parallel processing, and handling large datasets.
⢠Reproducible Research with Math Software: Ensuring reproducibility in data science projects using math software. Covers version control, automated reporting, and documentation.
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