Virtual Open Events
To learn more about the programme and to ask any questions you may have, join us for our virtual open events. To register, follow these links:
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. 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.