Data Exploration and Statistics

  • 40 hours of instructor-led Hackathon including 14 hours of presentations and demos
  • Hands-on learning of querying, inserts and updates
  • Learn main features to efficiently use SQL
  • Follow-ups are included
40 Hours of hands-on training28 Challenges3 End-to-end projects

Main Objectives

Introduction
What is Data Exploration, where it should be used and what are the benefits doing it.
Describe Dataset
Calculate and provide important and useful information about any dataset.
Data Preparation
Before using and presenting your dataset clean it up and take care of missing values.
Big Datasets
While working with any large dataset you cannot explore it all. Learn different sampling techniques.
Visualization
Depending on the type of data and metrics you need to use different visualizations.
Best Practices
Learn best practices from the professionals in Statistics and Machine Learning.

Duration

Five days

Requirements

  • Basic knowledge of Python
  • The length of the hackathon depends on the background of participants.

Topics Covered

  • Pandas
  • Data Visualization
  • Matplotlib
  • Working with files in Python
  • Patterns
  • Size
  • Missing data
  • Types of fields
  • Continuous
  • Categorical
  • Why they are important
  • Methods of treating missing values
  • Why do we need sampling
  • Probability sampling
  • Non-probability sampling
  • How to choose correct type
  • Table
  • Bar chart
  • Histogram
  • Column chart
  • Line chart
  • Comparison of the results
  • Correlation Calculation

Register for Public Hackathon

Oct 26 – Oct 30
5 days from Monday to Friday
Data Exploration and Statistics
Live Online
$3,552 $2,960
Nov 02 – Nov 06
5 days from Monday to Friday
Data Exploration and Statistics
Live Online
$3,552 $2,960
Nov 16 – Nov 20
5 days from Monday to Friday
Data Exploration and Statistics
Live Online
$3,552 $2,960

Private Hackathon

Contact Us to schedule a hackathon at your company.

Related Courses

Spark
Python for Data Science
Introduction to Machine Learning

Why Our Hackathon?

Get Hands-on Skills

1/3 of the time is spent on lectures
2/3 is spent practicing!

Get Help

Several helpers are ready to assist anyone who is stuck at a challenge, not sure where to start or has other questions . The head instructor provides guidance to the participants, explains the main concepts.

Online or In-Person

We run both online and in-person hackathons. The material doesn’t change, the challenges are the same. We can adjust the hours for the online hackathon to make sure that everyone is actively engaged.

Learn more about how we’re different

Multiple Locations

We run hackathons in Canada, US and Mexico. Recent locations:

Canada

  • Toronto
  • Montreal
  • Vancouver
  • Calgary

US

  • New York
  • Washington
  • Houston
  • Salt Lake City

Certificate

Every participant gets a verifiable certificate at the end of the hackathon.

Follow-Ups

One follow-up for every day of hackathon is included. It will help you with setting up best practices in the team and refreshing your knowledge. We will also answer any of your questions.

Hackathon Schedule

Hackathon is a full day event. It runs from 8:30 to 5 with a break for lunch. Usually 1 to 2:30 hours is spent on lectures, the rest of the day is devoted to challenges.

No Installation Required

Challenges are done using our environment. Participants only need a computer with a browser.

Other Hackathons

Please check available hackathons page