Data Science: so much new information, and so little time to digest it!
This field has been around for a very long time now, but it's only In the past few yearsthat we've seen the rise of big data analytics, machine learning, data visualization, and data mining.
New technologies are progressively transforming the way we think about data and how it can be used to solve real-world problems; they are changing how data is collected and analyzed, which in turn will impact how we use data in our day-to-day lives.
While data science has played an important part in social media, Covid has changed the effect and relevance of analytics in this arena forever. Social media platforms have evolved into a playground for real-time trend research and a focus point for marketing in modern business.
Not only Social platforms have become a playground for real-time trend analysis, but they now are the focal point for tech news and resources.
From YouTube to Twitter and everything above and beyond, students, influencers and academics are all talking about big data and how to harness it using AI and ML. The amount of resources can sometimes be overwhelming, that’s why we have put together a list of platforms so you would know exactly where to look and be plugged in!
YouTube is not just a place where you go to watch videos and learn how things work. Many content creators on this platform are highlighting how data can help solve problems, how it can make businesses more efficient, what it means to be an expert in a certain field, etc. So, in this sense, this platform really is the perfect place to start learning about big data for real-world applications.
‘At 365 Data Science we make #DataScience accessible to all by providing the highest quality online data science education. Our courses are designed to build up your skill set from beginner to job-ready, regardless of your current level, background education, and experience’
To say it in Ken’s words: ‘I produce fun and informative Data Science and Sports Analytics Content. My goal is to provide insight into the data science community, career advice, and sports related analysis’
2. Twitter & Linkedin
We all know and understand how to use Twitter & Linkedin so we’ll go straight into our list of accounts to follow and groups to join!
It's a fantastic social media platform not as widely known as Twitter or LinkedIn, but it's gaining real traction with Tech aficionados.
It is an excellent way to network with other data scientists who are interested in the same things you are. You don't have to be one to attend a meetup, but you do need to have a passion for the subject matter and a willingness to learn. If you're looking for a group of like-minded people to get together and learn with, Meetup is the place for you.
The Meetup ‘Data Science’ groups are massive! Comprising to date, over 5.7 million members. They are discussing topics such as: Data Analytics, Big Data, Data Mining, Data Visualization, Predictive Analytics, Machine Learning, Big Data Analytics, Hadoop, Business Intelligence and Open Source.
You’ll have a chance here to see the updates of famous projects and the rise of growing ones on GitHub because it's the very best place to share your work.
GitHub is an open source project that allows anyone to create, share, and collaborate on code. It is the most popular source code management system in the world and is used by literally millions of people daily. It allows you to easily share your code with other people and to collaborate with them on projects.
You can also use GitHub to host your own private repositories and share them with your friends and colleagues.
GitHub Trending For all of the top GitHub innovations, make sure to check out their trending page regularly.
So, if you are in need of expert and skilled professionals to guide you through the complexity of The Fourth Industrial Revolution, cutting through the layers and adding informative and entertaining insights on the latest news and innovations, please consider also subscribing to ourReflection x Newsletter and check out our Career Accelerator Programme!
Freya supports the tech talent toolbox arm of Reflection X where she is coaching technologists to achieve their full potential. With over 10 years of experience within the Tech and AI recruitment space, she has been from working closely with thousands individuals and leaders during hiring processes while partnering with very early stage start-ups all the way to some of the top AI Labs in the world.