£636.42

Big Data Series Data Science, Statistics, and Machine Learning using Python

Event Information

Share this event

Date and Time

Location

Location

15 St Pancras Way

London

NW1 0PT

United Kingdom

View Map

Refund Policy

Refund Policy

Refunds up to 30 days before event

Event description

Description

Data Science, Statistics and Machine Learning using Python is a highly interactive and informative training workshop run over 3 days in small a group size to maximise the time with the trainer.

Course Overview

Designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science, this course’s content can be adjusted based on student experience level with Python to include full overview of Python and programming if necessary.

The course can be adjusted to be between 3-5 days, depending on desired student outcomes and student experience when delivered as a group in house program.

What you will Learn?

  • Learn how to program with Python
  • How to create amazing data visualizations
  • How to use Machine Learning with Python
    • Programming with Python
    • NumPy with Python
    • Use matplotlib and Seaborn for data visualizations
    • Web scraping with Python
    • Using pandas Data Frames to solve complex tasks
    • Use pandas to handle Excel Files
    • Connect Python to SQL
    • Use plotly for interactive visualizations
    • Machine Learning with SciKit Learn
    • and much more!

By the end of this course training students will be able to:

  • Comfortably program with Python
  • Use Python and pandas to read data from a variety of sources (SQL, Excel, CSV, HDFS, etc)
  • Use multiple libraries to create data visualizations
  • Use Python’s SciKit Learn library to implement Machine Learning Models
  • Understand how to use Spark to deal with big data and distributed systems
Share with friends

Date and Time

Location

15 St Pancras Way

London

NW1 0PT

United Kingdom

View Map

Refund Policy

Refunds up to 30 days before event

Save This Event

Event Saved