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Live Event Schedule | DAL4 RS A4.2|

Welcome to your second live event on Data Modelling

In this three-day live class guided by your tutor, you will further explore the concepts and techniques you studied during the Discover stage. You will work through a series of discussions, review sessions, and activities. 

The content for this Live Event is split over three days. 

Day 1

  • Introduction to Anaconda Navigator and Jupyter Notebooks
  • Basics of Python programming
  • Control flow: selection and iteration

Day 2

  • Lists and strings
  • File Input and Output
  • Collections: Typles, Dictionaries, Sets
  • Functions

Day 3

  • Python libraries: NumPy, Pandas
  • Descriptive Statistics with NumPy, Pandas
  • Correlation Analysis
  • Unsupervised machine learning: Clustering
  • Clustering implementation demo
  • Supervised machine learning: Classification
  • Classification implementation demo

 

Throughout the Live Event, you’ll complete a series of tasks as directed by your tutor, to build your skills. 

At the end, you’ll be asked to complete a personal reflection activity, submitting your work to Bud to close off the learning path. 

Move on to the next section to find out what knowledge and skills will be covered.

Difficulty
Intermediate
Duration
18h 8m
Students
50
Ratings
5/5
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Description

Here you will find an introduction to this Live event, and a summary of what will be covered on each day.

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