Data Science Bootcamp
19

Saturday, 19 October

10 am – 4 pm EDT

GA Atlanta, Ponce City Market

675 Ponce De Leon Avenue NE, 2nd Floor
Atlanta, GA 30308
$180 USD
Regular Ticket
$180 USD
Total
`

Questions? Read our FAQs

Data Science Bootcamp | October 19

Ruchi Garg Photo


Freelance Data Scientist

19

Saturday, 19 October

10 am – 4 pm EDT

GA Atlanta, Ponce City Market

675 Ponce De Leon Avenue NE, 2nd Floor
Atlanta, GA 30308
$180 USD
Regular Ticket
$180 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.

The goal of this class 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.

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

Students will need to bring a laptop to class.

About the Instructor

Ruchi Garg Photo

Freelance Data Scientist

Ruchi Garg has about 5 years of Software development experience, most recently as Analytics Software Developer with IBM. She is a Data Science immersive graduate from General Assembly and is currently working as Python Guest lecturer for Web Development Immersive course.
She loves wrangling with datasets and using Python and Statistical methods to derive useful inference.

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

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