Data Science Bootcamp Series

Denver Campus

GA Denver @ Industry RiNo Station
3858 Walnut St
Denver CO 80205

Data Science Bootcamp Series | Denver

14
Attend the next event on Wednesday, 14 July.

Denver Campus

GA Denver @ Industry RiNo Station
3858 Walnut St
Denver CO 80205

About this workshop series

Explore one of the most promising and in-demand career paths for skilled professionals.

Basic business intelligence was once the gold standard in generating insights to drive important business decisions. In the information age, the amount of data available to businesses is nearly surpassing our ability to store, access, and analyse the results in an efficient manner. Data science is emerging as a discipline to help take business intelligence to the next level by making it easier to harness large amounts of data, make accurate and useful predictions, as well as create data-driven recommendations. Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals.

The goal of this bootcamp is to give you a taste of data science. We will define what data science is and introduce the data scientist’s toolset through examples and case studies. By the end of this session, you will be able to phrase problems in data science terms, approach the solution in a structured and rigorous manner, and understand how data visualisation can help convey uncovered insights.

Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skillset in our 10-week, part-time Data Science course or become job-ready with our 12-week, full-time Data Science Immersive program.

Takeaways

A Data Science Overview

  • Explain the field of data science, defining common roles, benefits, and trends
  • Recognise the different types of problems that can be solved by data scientists

The Data Analytics Workflow

  • Discuss common machine learning models and their uses
  • Define the standard lifecycle of a Data Science project

The Data Science Toolset

  • Explore some popular tools and resources to visualise, analyse, and model data
  • Identify key elements of the Data Engineering Technical Stack
  • Use Data Visualisation as a tool in Exploratory Data Analysis

Prereqs & Preparation

  • Some familiarity with the core Python programming language is beneficial. The Python Workshop for Beginners is recommended for maximum benefit, but not required.
  • Please have Anaconda installed on your computer before class - you can download it here.

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