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Data Science Training

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How can you effectively train your workforce in data science?

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At BeVera, we believe that data science techniques empower public health professionals to gain valuable insights from

their organization's datasets, driving discoveries that can help to promote and achieve better health outcomes for all. 

BeVera's data science training curriculum, designed with full-time workers in mind, offers a tiered instructional approach that allows

members of your workforce to engage in courses that best address their learning needs. Our courses are primarily

taught using R and R Studio, but we are also able to deliver some courses in Python and SAS.

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Introduction to Data Science

Building a basic understanding of data science is the first step.

Our Introduction to Data Science course covers the following essential topics for beginners: 

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Data Science Overview

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Tools and Technologies

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Data Science Lifecycle

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Data Science Solutions

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Open Source Tools

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Data Science in the Workplace​

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Intermediate Data Science

Those who want to analyze data using R or R Studio should consider

taking one or more of our intermediate training courses:

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Introduction to R Programming

 

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Exploratory Data Analysis

 

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Data Wrangling


 

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Visualizations using ggplot2

 

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Graphing and Descriptive Statistics

 

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Statistical Analysis in R

 

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Introduction to Machine Learning

 

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Advanced Data Science Skills

For those who have established a solid foundation of data science knowledge, we recommend cultivating

a high-level skill set through one or more our advanced training courses: 

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Predictive Modeling 

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Machine Learning 

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Artificial Intelligence

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NLP, Social and Text Mining

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Marketing Analytics

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Anomaly Detection

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Neural Networks

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Tailored Courses

In addition to our standard curriculum, we can custom-tailor courses
to meet your workforce's specific training requirements.

Contact us to tell us about your data science training needs.

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