Master statistical modeling, machine learning, and big data analysis using Mathematica's powerful tools.
View CurriculumThis course teaches advanced data science techniques using Mathematica's integrated environment for statistical analysis, machine learning, and data visualization. You'll learn to work with structured and unstructured data, build predictive models, and create interactive visualizations for insights.
Learn the essentials of Mathematica for data science: notebooks, functions, and built-in datasets. Explore basic data manipulation and visualization techniques.
Master importing, cleaning, and transforming data from various sources. Learn to use Mathematica's powerful dataset operations for preprocessing.
Explore regression analysis, hypothesis testing, and probability distributions. Apply Mathematica's statistical tools to model relationships in data.
Build and evaluate machine learning models using Mathematica. Understand supervised and unsupervised learning approaches for classification and clustering tasks.
Process large datasets using built-in functions and Mathematica's data frameworks. Learn to create dynamic visualizations and dashboards for insights.
Apply techniques to real-world datasets from finance, healthcare, and social sciences.
Learn from industry professionals and Mathematica developers with real-world expertise.
Earn a certificate to showcase your data science proficiency to employers.
Enroll today and gain access to Mathematica's most powerful data science tools in a structured learning environment.
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