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Data Analytics Bootcamp
January 18, 2020 @ 10:00 am - 5:00 pm EST$120
About This Workshop
This single day bootcamp will run through the analytical workflow — from collecting, cleaning, analyzing and presenting insights from public data sets. We will introduce important tools used in this process such as Google Sheets and Tableau.
- Introduce concepts and practice using and managing data
- Transform data for descriptive analytics and business intelligence decision-making
- Develop compelling visualizations that articulate the value of data assets
- Learn about the value of data in everyday decision making
- Understand the analytics workflow
- Be introduced to tools for data analysis
- Formulate research questions that can be informed with data
- Clean and analyze data in Google Sheets to improve decision making
- Learn advanced features of spreadsheet technology, such as pivot tables, to manage and explore data
- Explore Tableau Public to visualize the results of your analysis
- Develop presentations that articulate key findings to various audiences
Who is this for? Professionals seeking to explore the tools and workflow of a data analyst.
Participants should be familiar with the basic functions of their computer, but no previous experience in data analysis, Google Sheets, or Tableau is required.
A laptop computer is required for this workshop, along with the following software:
About our Instructor
Anabetsy RiveroAI/ML consultant, entrepreneur, and tech evangelist
Anabetsy Rivero is a biologist, biochemist, molecular biologist, and computer scientist. She graduated from MDC’s Honors College Dual Language Program in 2011 with an A.A. in biology. From there, she went on to pursue her B.S. in biochemistry and molecular biology with a minor in chemistry at University of Miami. She had her beginnings in cancer research at Harvard Medical School and then continued to explore several research fields at University of Miami, where she had her first job as a college graduate. She then taught herself computer programming and gained acceptance to the M.S. in computer science at Nova. She specialized in artificial intelligence, machine learning, and data mining. During her time in the graduate program, Ms. Rivero wrote her own artificial intelligence framework, which she decided to use for the detection of breast cancer.
She then founded Vidu AI, a Miami-based startup dedicated to the early detection of breast cancer using artificial intelligence algorithms on mammogram images. She has yet to obtain FDA clearance for her software to be available to hospitals. She has founded two other software companies for the development of artificial intelligence, blockchain, mobile applications, and web applications for her customers. Ms.Rivero is a frequent public speaker at technology events and appears frequently on TV discussing artificial intelligence in healthcare and other areas.