Entering the Data world can be stressful and it’s tricky to know where to start. As with the majority of the tech sector, the Data landscape is constantly evolving and there will always be new processes and languages to learn as your career develops. If you’re preparing for a career in Data, here are a few things to note to help get you started.

  1.       Research the industry

A career change is a big step so it’s important that you make sure that the new industry is the right fit for you. Our recent blog discusses 5 key things you should know about the data industry before starting your career. From key skills to practical advice, get to know the data industry here.

  1.       Get to grips with the Python and R

Python and R are two of the most sought-after programming languages in the industry so getting to grips with these will set you in good stead for a career in Data. You may end up using just one language, this will be determined by your organisation and the types of problems you’re solving. By familiarising yourself with both, it keeps your options open for the future.

  1.       Know how to use Pandas for data analysis, manipulation, and visualization

Pandas is a software library written for Python and is used by professionals for Data manipulation and analysis. Pandas makes it easier to discover opportunities in the data, making it extremely useful for Data Scientists. It is relatively straight-forward to use, therefore, is an efficient resource to use to save time and effort.

  1.       Learn machine learning with Scikit and TensorFlow libraries

Both Scikit and TensorFlow are designed to be used with Python and provide efficient solutions for mining and analysing data.

  1.       Understand the ethics behind AI

AI is becoming increasingly present in our everyday lives and as a data professional it’s important to understand the ethics behind it. This includes how to collect, store, process and evaluate data. There are many articles detailing the ethics behind AI, including article 22 of the GDPR.

We understand that this seems like a lot to get your head around, but with our Data Academy, you don’t have to face these challenges alone. Our Data Academy covers various languages and libraries along with Big Data and SQL to give you the skills you need to secure a data role in the future.

If you’re interested in tech and want to train to become a Data Scientist, book your space on our Data Academy today. To find out more or to register your interest, visit our website here.