The demand for qualified data scientists and professionals is rapidly rising throughout the world owing to the increasing applications of data science across multiple industries. Seeking a career in data science can be a sure-shot way of achieving financial independence and having a highly interesting career path.
According to towardsdatascience.com, the number of data-science related vacancies in Germany has increased by 62% in the last three years. Qualified data scientists in the country also tend to earn decent compensation. A report by Payscale.com estimated the average annual salary of a German data scientist to be around € 55,732.
With such immense career scope, it makes sense to invest time and money into a relevant degree like BSc Data Science from a good university. Here are some other useful tips that can help you become a successful data professional.
What are the most important tips for establishing a data-science career?
Here are some crucial tips that can help you create an effective path towards a successful data science career.
- Choose a data science course with an extensive curriculum: Data analysis and creation of large-scale data models require you to be adept at multiple subjects including statistics, computer programming, and mathematical modelling. Therefore, you should start your knowledge gathering with an extensive data science programme that has an expansive syllabus covering everything you need to know as a data scientist.
- Choose a coding language/ tool and stick to it: With the development of new coding languages and techniques, you can take multiple coding approaches for solving data science problems. However, switching between coding languages might induce manual errors and make it difficult for others to understand the continuity of the solution. Therefore, you should focus on learning a coding language that you are comfortable with and gain expertise in it.
- Set aside time to explore and discover new tools and technologies: Few other domains are developing as rapidly as the data science industry. To stay relevant in such a dynamic domain, you should be ready to constantly learn about the latest tools and technologies in the space.
- Hone yourself in industry-relevant soft skills: While technical knowledge and analytical skills are important for a data science career, many roles in the industry are also client-facing and require you to be adept at soft skills as well. You should therefore ensure that you have the necessary soft skills like excellent communication skills and leadership abilities.
Carving out a successful career path in the data analytics domain can be easy, provided you progress with a lot of patience and determination. You must also be committed to updating your skills and expertise in data science throughout your career to stay relevant in the industry.
A good data science programme can help you acquire all the subject expertise and soft skills you need for a data science career. Start your search for appropriate data science and analytics courses from reputed universities today to set foot in this bustling industry.