Data Science is all about discovering new insights in data, to make better decisions. Much data is already there: about your company, your processes, your customers, your environment. Why not use this data for better decisions? Data adds another view to your personal views. Data challenges you and makes you sharper. In this article we show you how to do develop yourself and your career with Data Science.
There are many developments in technologies for Data Science, so staying up to date with the latest techniques is vital if you want to play a key role in data science. The latest Data Science technologies in Machine Learning, Deep Learning, Visualization and Recommender Systems, offer great support in analyzing data to find insights. Above all: machine and deep learning support the use of data and models for both human decision making, e.g. in recommender and decision support tools and in decision making by machines.
If you want to develop yourself in Data Science it is important to know how to discover, execute and lead a data project. For this you can use methodologies like CRISP-DM. Within CRISP-DM you can start with a dataset to find insights. But it is even better to start and end with decision making, and add business understanding, data understanding, data cleaning and modelling in between.
Education can play a vital role in developing yourself in Data Science. Go to a place where they use challenge-based learning for maximum result. And as Data Science should be about creating impact: try to find an educational program where they combine technology with business results. For real impact, Data Science also requires data entrepreneurship; this means being ambitious on your goals, team up, and go outside to benchmark your efforts. Only then you really make business results.