Course Information
Introduction
The course provides an excellent foundation for students that are looking to progress into a role or further learning as a data scientist.
Data science has topped LinkedIn’s Emerging Jobs Report for three years running. Get hands-on with the skills you need to derive value from complex data. Dive into Python, data analysis, and statistical modeling. Then, branch into machine learning with algorithms of increasing complexity, from decision trees and random forests to natural language processing and neural networks.
You will put machine-learning models into production to address a real-world data challenge.
What you will learn:
Programming for Science Data
Learn to program with Python, one of the most popular programming languages used for data science applications. Understand fundamental components of programming, including data types, structures, and how to import and use various packages.
Cleaning and Analysing Data
Use Python to import, clean, manipulate, and analyse various types of data. Draw insights, develop a hypothesis, and begin running experiments to test your assumptions.
Data Modeling
Using real data problems encountered in the field, you will learn to build linear models for numerical data and categorical models for non-numerical types of data.
Visualisation and Presentation of Data
Using Python packages, you will construct visualisations that can help tell a story with your analyses and predictions. You will then practice presenting these insights.
- Module 1: Data Science Fundamentals
- Module 2: Exploratory Data Analysis
- Module 3: Classical Statistical Modeling
- Module 4: Machine Learning Models
- Module 5: Advanced Topics and Trends
Prerequisites:
Basic Python & Functional Skills Maths or Similar
Assessment:
You will complete the course by taking assessments to achieve the certificate.
Cost:
This course is closed for enrolments. The next intake for the course will be in Sept 2020
Course Dates:
| Location | Start Date | Days | Time | Duration |
|---|---|---|---|---|
| England | TBC | TBC | TBC | TBC |