Data Science for Beginners Short Course
Course description
Get started in this exciting field by learning how to prepare, analyse and visualise data using Python.
Course Outcomes
By the end of the course you should be able to:
- Understand the typical tasks and activities of a data scientist
- Load and manipulate data sets
- Write Python code to analyse data using machine learning and other techniques
- Write Python code to visualise data
Who Should Attend
This course is ideal for you if you are working in a role that works with data, such as advertising, journalism, design or computing, and you want to know more about getting value from data.
Level
You do not need any previous programming knowledge but you should be comfortable installing software, downloading and moving files.
Clear, easy to understand lessons:
- Our tutors will explain things in easy to understand, accessible English. If they need to use any special terminology they will make sure they explain what they mean.
- New methods will be shown to students through live demonstrations, in a way thats crystal clear and easy to understand.
- Experience life on campus
- Network and share ideas with students from across the globe
- Access the technology and materials relevant to your discipline
- Shop in our college shops for any materials you might need
- Ask questions of your tutor in real time
- Receive feedback and critique on your assignments
- Experience the many sights of London on your down time
A certificate of completion:
- You've put the work in so we want to make sure you have something to show for it!
- As long as you attend a minimum of 80% of your classes, we will provide you with a certificate of attendance.
- We always recommend you attend all of the classes so that you get the most out of the experience!
- Certificates are great to compliment your cv.
Available dates
Details
Course Content- Introduction to Data Science: looking at what data science is and some typical data science applications
- Being a Data Scientist: looking at what data scientists do and the tools they use
- The Machine Learning Process: working through a small example project, understanding the general approach and process for organising and executing a typical machine learning task using Python
- Use of “unplugged” (i.e. non-computer based) activities to reinforce understanding
- Build more Machine Learning Techniques: building on the first exercise, we will learn new techniques such as classification, regression, and evaluating algorithms using Python
- Acquiring and Cleaning Data: looking at where to collect data from and how to clean it and manipulate it into the right format using Python
- Data Visualisation: looking at ways to present and visualise data and implement some code to visualise our data using Python
- Data Science Challenge: looking at some typical data science questions and then working collaboratively to investigate and report back our answers
Materials
Please bring:
- Laptop (Windows or Mac)
- Further details of software to install/ and or sign up for will be provided ahead of the course.
Meet the Tutor:
Driven by the massive growth in data generated by our digitalised world, data science is one of the fastest growing careers. Good data scientists are in demand in all areas of communications: design, journalism, advertising, PR, film; TV, VR/AR and VFX.
Pay by:
Contact us:
- London College of Communication
- Telephone +44 (0)20 7514 7015
- Address Elephant & Castle London SE1 6SB
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college: London College of Communication
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