Published inTowards Data Science·PinnedMember-onlyA Complete Data Science Curriculum for BeginnersUCL Data Science Society: Introduction to Python, Data Scientists Toolkit, Data Science with Python — This year, the UCL Data Science Society aimed to create a complete Data Science curriculum with the purpose of helping other students on their Data Science journey. To this end we created a series of workshops, building on the work of previous years, to cover three main areas of any…Data Science14 min readData Science14 min read
Published inTowards Data Science·PinnedMember-only8 Data Structures every Data Scientist Should KnowFrom basic data structures to Abstract Data Types — As a Data Scientist, a key part of the job is to be able to understand the best way to organise and structure data so that it can be efficiently stored or accessed depending on the task. This could be for the purpose of inputting the data into a model…Data Structures7 min readData Structures7 min read
Published inTowards Data Science·PinnedMember-onlyA complete guide to git for beginnersKey commands, functionality, and usage — Git is a tool that all Data Scientists and Software Engineers should know how to use. Whether you work on a project alone or as part of a large distributed team, understanding how to effectively use Git can save you a lot of time with your projects. The benefit of…Data Science14 min readData Science14 min read
Published inTowards Data Science·PinnedMember-onlyAn introduction to Object-Oriented Programming for Data ScientistsThe basics of OOP for those who may not have come across the idea before or are wanting to know more — First of all, what is Object-Oriented Programming? This is what is known as a Programming paradigm, which essentially means that it is a specific way of doing something or structuring your code. What OOP means is that you structure your code around objects which is good for building frameworks and…Object Oriented6 min readObject Oriented6 min read
Published inTowards Data Science·PinnedMember-onlyIntroduction to decision tree classifiers from scikit-learnApplying a decision tree classifier to the iris dataset — There are plenty of articles out there that explain what a decision tree is and what it does: Decision Tree Classification A Decision Tree is a simple representation for classifying examples. It is a Supervised Machine Learning where the data…medium.com The Basics: Decision Tree Classifiers An intuition for how decision trees work and are builttowardsdatascience.comPython10 min readPython10 min read
Published inTowards Data Science·Mar 21Member-onlyAutomated Python Application Testing Using GitHub ActionsHow to run automatic testing on the push command — Testing your application is a crucial step in any software development or data science workflow. Testing allows you to ensure that the code functions as expected, reduces the likelihood of bugs or errors, and increases the overall quality and reliability of the software. In some cases though testing can often…Testing6 min readTesting6 min read
Published indunnhumby Data Science & Engineering·Mar 13Deciding Where to ShopCan Newton’s idea of gravity be used to estimate grocery store revenue? With many different brands, formats and channels to engage with, deciding where, when and how to do your grocery shop can be a complex decision. Some of us will do a regular weekly shop at a large superstore…Data Science10 min readData Science10 min read
Published inTowards Data Science·Mar 10Member-onlySetting up a flask application for Data ScienceThe basic structure of a flask application to allow for modular development — A Data Science workflow often involves the use of notebooks and python scripts. These are great tools but it often means that your outputs can often remain in those files without seeing the light of day. A good way to change that however is by creating a website to show…Flask9 min readFlask9 min read
Published inTowards Data Science·Nov 15, 2022Member-onlyControl Flow and Conditionals in JavaJava for Data Science Part 2 — This is the second post in a series introducing the basics of Java for Data Science. In the previous post Java was introduced as a language commonly used in Big Data and IoT applications, alongside how to create variables and use different datatypes in Java. …Data Science6 min readData Science6 min read
Published inTowards Data Science·Nov 2, 2022Member-onlyVariables and Data Types in JavaJava for Data Science part 1 — Java, as a language, often doesn’t appear in the list of languages to learn for Data Science. Often that debate is left to those arguing that either R or Python is the best language to start off with. But, since Data Science encompasses a wide range of fields and applications…Data Science6 min readData Science6 min read
