Data Science Programme in collaboration with Flatiron School

Virtual Open Events

To learn more about the programme, please view the recording of the virtual open day below.

Recording of virtual open day webinar

Course Programme

This course will deliver an introductory Data Science Toolkit module over 10 weeks. There will be 8 hours of content each week with 2.5 hours via synchronous class time.- each Tuesday 6.00pm-8.30pm (GMT). 

The remainder of the coursework will be completed on the student's own schedule, with weekly assignments, readings, and labs to apply the learning.

Course content 

Unit 1 Tools of The Trade 
5 lecture hours, 11 lab hours

●Add, remove, and commit to Git
●Use basic features of Anaconda
●Install packages with pip
●Navigate the file structure with Bash
●Create and delete files with Bash
●Using Jupyter Notebooks

Unit 2 Getting Comfortable with Python 
5 lecture hours, 11 lab hours

●Basic data types & structures
●Function writing
●Looping & Control Flow

Unit 3 Working with Data like a Data Scientist 
8 lecture hours, 16 lab hours

●Intro to Numpy & Pandas
●Ingesting data
●Filtering data
●Cleaning data
●Exporting data

Unit 4 Data Visualisation
3 lecture hours, 5 lab hours  

●Using PyPlot and Seaborn to create beautiful visualizations of data

Unit 5 Data Engineering
3 lecture hours, 5 lab hours

●Query a database with SQL
●Writing clean code  

Unit 6 Summary Project 
8 lab hours

●The course converts the course into a simulated data science consultancy where students complete a paired project using real-world data
●Students will clean and wrangle data, and visualize it to generate insight

Teaching

Great teachers help students understand topics on a profound level and inspire continuous learning. All teaching is carried out by Flatiron School data science instructors. With experience in the field and in the classroom, the Flatiron School data science instructors are dedicated and thorough. Simply put: you learn from the best.

Additional requirements

ICE is committed to providing equality of opportunity and to a proactive and inclusive approach to equality. We aim to support and encourage under-represented groups, promote an inclusive culture, and value diversity.
Further information about student support.

Course materials

Students will receive course materials and a detailed timetable at least one week in advance of the course. 

Fees

Fees for this course cover the course tuition and access to the virtual learning platform for the duration of the course. VAT does not apply to course fees and there is no service charge. Payment is by credit/debit card unless otherwise arranged and must be paid in full before beginning the course. 

Cancellations

You may cancel a course booking at any time. After the 14 day cancellation period has expired, the standard ICE course cancellation policy will apply. Please view our refund and cancellation policy for further details.

Bursaries

Please see our bursaries page for all bursaries relating to courses available at ICE.

What do I need for the course?

The course is open to anyone, however it is taught via a virtual classroom. You will be able to see, hear and interact with your classmates and the tutor. In order to participate you will need to have a laptop, computer, tablet or other device equipped with a camera (webcam), speakers and a microphone. 

Full instructions and support on the use of the software will be given on request.

How will my data be shared?

The Institute of Continuing Education is the data controller and will share your name and email address with Flatiron School LLC so that you can use their platform to study the course. Use of data will be governed by GDPR, according to UK law

Are there English Language requirements?

All teaching is in English. If your first language is not English, you need to satisfy yourself that you have the required near-native command of the language to get the maximum benefit from studying with ICE.

Will teaching sessions be recorded?

Yes, all of our live sessions will be recorded! While attendance is encouraged, it isn't mandatory. If you are unable to attend some of the sessions, you will always have access to the recordings to catch up. 

Will statistics be taught?

This course will teach the basics of statistics in a programming context. You will learn statistics fundamentals (averages, variances, regressions), but instead of using a pen/paper/calculator for calculations, you will be calculating basic statistics using Python and Stats libraries.

What are the computer requirements for this course?

A breakdown of computer requirements can be accessed here.

Will I get a certificate

Yes.  As in all our non-credit courses you are eligible to receive a certificate of attendance. The certificate is from the Institute of Continuing Education University of Cambridge and will include the name of the course, referencing Flatiron School.