DATA SCIENCE BASICS

Previous qualifications required: basic business and IT skills
Number of training days: 4 days

Training objective:
To develop basic data processing and analysis skills to get started in Data Science.

Description of the training:
The training will introduce you to the basics of Data Science including data collection, data cleansing, data visualization and basic machine learning techniques. Participants will learn how to apply these skills to real data through hands-on projects.

Detailed topics:

Day 1: Data collection and preparation

  • Identifying and acquiring data sources
  • Data collection methods and tools
  • Data collection and validation
  • Data cleaning and missing values management
  • Data normalisation and scalingDay 2: Data visualisation and communication
  • Data visualisation tools and techniques
  • Creating charts and graphs
  • Data visualisation tools and graphs
  • Data interpretation and reporting
  • Effective communication of data and resultsDay 3: Basic machine learning techniques
  • Supervised and unsupervised machine learning
  • Basics of classification and regression
  • Clustering and dimension reduction
  • Model evaluation and performance analysis
  • Exercising simple machine learning projectsDay 4: Practical projects and case studies
  • Working with real data sets
  • Preparing and planning projects
  • Building and testing data models
  • Preparing and designing data models and preparing and presenting project results
  • Career opportunities and career progression in Data Science

ARE YOU INTERESTED IN? WRITE US!