Courses

55th Annual Illinois BEDC will be held in Naperville, Illinois. The event will be held on four consecutive days October 21 through October 24. Registration is open. A limited number of scholarships offered by corporate sponsors will be available. More information about these scholarships can be found at the BEDC Illinois website at bedcillinois.org.


October 21-24, 2024, Nicor Headquarters
This credential is part of the Data Science and Its Applications Credential. Earners of this credential build on knowledge obtained from the Intro to Python credential. The course covers many applications within Python that are relevant to data science. At the end of the credentialing program, participants will have an intermediate mastery of Python programming skills. Users will gain experience using Python to read in datasets for analysis, analyze their data using an array of statistical and data science tools, and create visual representations of their data.


September 2, 2024 to September 2, 2025, Online
This credential is part of the Foundations of Data Science Credential. Complete Spreadsheet Software and Data Fundamentals; Inferential Statistics: Probability Theory, Inferential Statistics, & Hypothesis Testing; Inferential Statistics: Regression, ANOVA, & Forecasting; and Descriptive Statistics to earn the complete Foundations of Data Science Credential.


September 2, 2024 to September 1, 2025, Online
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This course contains no sessions
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This credential is part of the Foundations of Data Science Credential. Complete Descriptive Statistics; Inferential Statistics: Probability Theory, Inferential Statistics, & Hypothesis Testing; Inferential Statistics: Regression, ANOVA, & Forecasting; and Spreadsheet Software & Data Fundamentals to earn the complete Foundations of Data Science Credential.


September 2, 2024 to September 1, 2025, Online
Machine Learning and Predictive Modeling in R is part of the Data Science and Its Applications Credential. The Machine Learning and Predictive Modeling in R credential demonstrates an earner's understanding of machine learning and predictive modeling concepts and how to perform related analyses in R, including Linear and Logistic Regression, PCA and Nearest Neighbor Algorithms, Clustering Methods, Decision Trees and CART Modeling, Naïve Bayes Classification, Natural Language Processing, Market Basket Analysis, and Neural Networks and Support-Vector Classifiers.


September 2, 2024 to September 1, 2025, Online