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Data Science Bootcamp Series | November 17

$250 USD each
Wednesday, 17 November -
Thursday, 18 November
1 4 pm EST
Online

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. Build confidence and credibility to tackle complex machine learning problems on the job in our Data Science part-time course. Or transform your career & become job-ready with our 10-week 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

Schedule

Nov
17
Session 1
Wednesday   1 4 pm EST
Nov
18
Session 2
Thursday   1 4 pm EST

Preparation

  • Some familiarity with the core Python programming language is beneficial. Our Free Introductory Python Class is recommended for maximum benefit, but not required.
  • Please have Anaconda installed on your computer before class - you can download it here.
  • This class is taken completely online via Zoom and Slack.

  • You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection.

  • Class set up information will be emailed the day before & again on the day of the class.

  • All communication will be sent to the email used to purchase a ticket. If you have signed up on behalf of a friend or colleague, please forward along this information. NOTE: this session will not be recorded, however, slides will be sent within 7 days following the class

About the Instructor

Dr. Jesús Rogel-Salazar Photo

Principal Data Scientist

Curiosity and enquiry has helped Jesús (better known as J) follow a winding path that has passed from physics, chemistry, finance, analytics and even data journalism. He obtained a PhD at Imperial College for work on quantum atom optics and has worked in academic and research posts for Imperial College London and the University of Hertfordshire, as well as for organisations such as IBM Data Science Studio, Prudential and Dow Jones. He has published a number of academic papers and is the author of a couple of books including "Data Science and Analytics with Python".

When not working you can find Jesús tuned into sci-fi films (good and bad), watching rugby, trying to improve his running times, or writing bits and pieces for his blog.

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