Data Science Bootcamp
21

Friday, 21 May

12 7 pm EDT

$250 USD
Cost
$250 USD
Total

Questions? Read our FAQs

Data Science Bootcamp | May 21

Jonathan Bechtel Photo


Technical Lead, Health Kismet

21

Friday, 21 May

12 7 pm EDT

Online

Anywhere
Online
$250 USD
Cost
$250 USD
Total

Questions? Read our FAQs

About This Workshop

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 analyze 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 predictions, and create data-driven recommendations. Also, 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 visualization can help convey uncovered insights.

General Assembly’s classes, workshops & events are for recreational purposes and are not regulated by the bureau of proprietary school supervision.

If this class is recorded, students will be sent the recording link within 7 days after class completion by email. Students are encouraged to download and save any shared materials (worksheets, deck if applicable) during class for later reference as they are not be shared by email.

Takeaways

A Data Science Overview

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

The Data Analytics Workflow

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

The Data Science Toolset

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

Preparation

  • You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection.
  • This class will occur completely online using Zoom.
  • Class setup information will be emailed to all students signed up around 24 hours before (and again an hour before) your class launches.
  • Each individual class participant must have purchased a ticket

About the Instructor

Jonathan Bechtel Photo

Technical Lead,
Health Kismet

Jonathan is a team leader for Kismet Analytics, a full-stack data consulting company that works with companies to build out bespoke data operating systems and improve their analytical capabilities.

His job responsibilities include architecting project strategies, engaging in code reviews, communicating key outcomes to business stakeholders and using the python computing stack for all things analytics: regression, data cleaning, visualization, building data feeds, model deployment and application development.

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