The data science field is one which has skyrocketed in popularity in recent years, and it is easy to see why. In fact, it was recently ranked the best job in America due to the earning potential, career opportunities, and number of openings. It is a very important part of modern business, as those in charge will want to make sure that they are learning from their data effectively as this will have a direct impact on their success.
As a result, the data science field is an excellent one to enter and can be very lucrative, but it can also be both challenging and competitive as a young field. So, if this sounds like it could be the profession for you, here are a few tips for how you can get ahead:
Pick A Route
Like most fields, there are various paths that you could go down when joining the data science sector. In addition to being a data scientist, you could choose to be a machine learning expert, data engineer, or data visualization expert, just to name a few. When you choose a path, you can then take steps to earn qualifications and progress down your chosen career path.
Training
Understandably, training and earning qualifications are crucial to success in this field. Training in mathematics and statistics and then applying this to a particular industry is one option or you could train in computer science and branch out into data analysis algorithms. Those that have already got their foot in the door but want to further their career can look for an online MS in Data Science, which will put you in an excellent position to succeed.
Learning how to use the right tools such as Excel, tableau, SQL and statistical programming are must-have for any aspiring data scientist. The experts writing for Chronicles of Data can explain how a degree in information technology or computer science is a great asset to have when looking to pursue a career in data science as these two fields complement each other very well. For example, strong Excel skills are a must for anyone looking to make it in the data science world as it is the most used program when dealing with and analyzing data.
Consider Business Implications
Many data scientists will only focus on what is in front of them – the data. While this is their job, it is also important that you consider why you are analyzing the data and what the business goals are as this will allow you to see the big picture. You will need to have an interest in the type of data that you are working with and understand what the problem is that you are trying to solve so that you can work more effectively and become a team player.
Improve Communication Skills
Another often overlooked area of this line of work is communication skills. Stereotypically, data scientists will keep themselves to themselves, but it is actually very important that you are able to communicate effectively with those in other departments and stakeholders so that they can take your findings and use them to solve the particular problem at hand. Presenting will be an important part of the role so look for ways to improve your presentation skills and even consider taking a class or course to differentiate yourself and stand out from the competition.
The data science field is growing at a rapid rate as businesses in all industries are looking to use their data more effectively. It is an excellent field to enter with a lot of opportunities and terrific earning potential, but it can also be hard to stand out from the crowd, which is why any aspiring data scientist should consider the above.
