Data science is not a narrow field, as it includes a number of subdivisions, such as artificial intelligence, in-depth learning, machine learning, predictive analytics, data visualization, transformation, exploration and preparation, to name a few. just a few of them. And then there are different skill levels. If you want to decide if data science is for you, you are on the right page. By answering some important questions, you can make this decision. Read on to find out more.
2. What does a data scientist do?
An experienced data scientist uses the available data to draw penetrating conclusions. Based on these conclusions, important decisions are made in large organizations and institutions.
The roles of these professionals include data analysis, data visualization, data transformation, and data collection. In addition to this, they also offer their recommendations on actions that can be implemented based on the findings of the data.
Also, these professionals work in various fields such as entertainment, government, healthcare, energy and technology, to name just a few. Some of the big names in the field include Microsoft, Google, amazon and Twitter.
3. What are the career prospects for good data scientists?
When it comes to career prospects, know that they are quite positive. According to IBM forecasts, there will be an increase in demand for data scientists by 28% by 2020. According to a recent study, most technology jobs require data science skills by 2020.
4. How much can you make as a data scientist?
The amount of money you can make as a data scientist depends on the company or organization, job role, experience and background. As a general rule, you can make between $ 50,000 and $ 250,000.
In other words, you can make a good amount of money each month. So when it comes to salary, you can make a lot of money serving as a data scientist.
5. How can you prepare for a career in this field?
You have to meet some important conditions. Some of these requirements are listed below.
- High quantitative capacity
- A mind focused on problem solving
- Knowledge of programming
- Ability to communicate effectively
- Ability to participate in a team
So, you might want to get a degree, preferably in a quantitative field. For example, you can pursue a degree in Economics, Business, Mathematics, Engineering, Technology and Science.
6. Do you need to learn a programming language?
If you want to learn the basics of data science, know that you can start somewhere. You do not need to be shocked by the number of programming languages out there. While it makes sense to be familiar with many data size tools, we suggest you start with a few programming languages to get you started.
Once you have developed a solid background, you can continue to challenge yourself and learn more programming languages along the way.
In short, we suggest that you answer these simple questions. This will help you decide if data science is for you. We hope this article helps you make your choice easy.
