Data Science


Data Science

Data is revolutionizing the world we live in — and data scientists are driving that change. From governments to healthcare, gaming to grocery shopping, data science helps us to better understand what’s happening in order to make stronger decisions and predictions about the future. In this course you’ll learn to manipulate, analyse and visualise data. You’ll also use data algorithms to make predictions. Sounds cool, right? Python is our language of choice, so it will help if you know the basics. If you’re not already familiar with Python, take a look at our [LINK]Introduction to Python course.

What you'll learn

Numpy is a Python library that makes it easy to work with large sets of numerical data. Learn how to use Numpy to create a subset of data, so you can focus on the parts you’re interested in.
Not just cute fluffy animals! Pandas is another Python library built on top of Numpy, and here we’ll show you how to process and manipulate data with Pandas.
Create charts and graphs to visualise your data with Matplotlib.
Linear regression
Use linear regression to learn from data and make better predictions.
Binary and multiclass classification
Separate data points into predetermined categories with classification techniques.


What Does A Data Scientist Do?
Big data is big business. More companies than ever are using data science in their decision-making processes and even as part of their core product. From fintech startups to innovative healthcare companies, more data means better decisions, better products and more profits.
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How To Break Into Data Science
If you’ve noticed the term data science being thrown around quite a bit on tech blogs and developer communities lately, you aren’t alone. Even beginning developers have probably started to hear about applications of the language they are studying in data science already.
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Top 10 Reasons to Become a Data Scientist
There may not be a more exciting and fundamentally important career right now in the world of software and computers than that of the data scientist. As a professional in charge of finding ways to measure, organize, and assess the seemingly infinite data being collected by modern computing machines, data scientists hold the key to humanity maxing out the potential of exponentially growing computing processing and power.
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