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Exploring the Data Jungle

  • Course Code: Data Analysis / BI - Exploring the Data Jungle
  • Course Dates: Contact us to schedule.
  • Course Category: Big Data & Data Science Duration: 1 Days Audience: This course is geared for those who wants create insight from chaos and discover important analytic patterns - to set your business on the right track.

Course Snapshot 

  • Duration: 1 days 
  • Skill-level: Foundation level Data Jungle skills for Intermediate skilled team members. This is not a basic class. 
  • Targeted Audience: This course is geared for those who wants create insight from chaos and discover important analytic patterns – to set your business on the right track.. 
  • Hands-on Learning: This course is approximately 50% hands-on lab to 50% lecture ratio, combining engaging lecture, demos, group activities and discussions with machine-based student labs and exercises. Student machines are required. 
  • Delivery Format: This course is available for onsite private classroom presentation, or remote instructor led delivery, or CBT/WBT (by request). 
  • Customizable: This course may be tailored to target your specific training skills objectives, tools of choice and learning goals. 

Exploring the Data Jungle: Finding, Preparing, and Using Real-World Data is a collection of three hand-picked lessons introducing you to the often-overlooked art of putting unfamiliar data to good use. Brian Godsey, author of Think Like a Data Scientist, has selected these lessons to help you navigate data in the wild, identify and prepare raw data for analysis, modeling, machine learning, or visualization. As you explore the data jungle, you’ll discover real-world examples in Python, R, and other languages suitable for data science. 

Working in a hands-on learning environment, led by our Data Jungle expert instructor, students will learn about and explore: 

  • you need the right perspective and guidance. (There’s no point hacking at overgrowth with a spoon after all!) Identify and prepare your data well 
  • you’ll be well set to create insight from chaos and discover important analytic patterns – to set your business on the right track. 

Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below 

  • Data All Around Us: The Virtual Wilderness  
  • Exploring Data  
  • Real-world Data 

Audience & Pre-Requisites  

Pre-Requisites:  Students should have  

  • Basic knowledge regarding it 
  • Familiar with programming skills 

Course Agenda / Topics 

  1. Data All Around Us: The Virtual Wildernessfree 
  • Data as the object of study 
  • Where data might live, and how to interact with it 
  • Scouting for data 
  • Example: microRNA and gene expression 
  1. Exploring Data 
  • Using summary statistics to spot problems 
  • Spotting problems using graphics and visualization 
  1. Real-world Data 
  • Getting started: data collection 
  • Preprocessing the data for modeling 
  • Using data visualization 
  • Terms from this lesson 
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