Discover a Career: Data Scientist

Do you plan to become a data scientist? Do you love spending time learning about technology and analytics? Being a geek who finds deep learning and technical work interesting is certainly a benefit in a world where most people prefer putting very little effort. However, is that enough to make your future bright and properly sorted?

Whether you aim to become a dentist or a pilot, having a clear vision of how you are going to make it to your goals is crucial. Not just that, but future planning in today’s unpredictable world also demands a well-thought and clear perception of whether your chosen profession has a bright future or not. After all, you can only have a bright future if your profession is in demand and relied on by the population.

Now, if we talk about data scientists, they are technical and mathematical experts. No, you do not have to find the value of X; but instead, your task is more technical and calculated. Utilizing your skills in data sciences in technology and social sciences is what your main goal will be in this profession. However, that is certainly not enough to know for planning your future. Hence, we are here to help you understand everything in detail about becoming a data scientist.

Who is a Data Scientist?

Understanding the role of this profession firstly, the major goal of a data scientist is to find trends in data and manage data. This profession requires the usage of analytical skills in technology and social sciences. Data scientists work for businesses and help them find solutions regarding the various businesses challenges using their knowledge regarding the industry, context, and the skepticism of existing assumptions.

This interdisciplinary field uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. The data scientist applies this data, knowledge, and actionable insights from the data collected from a broad range of domains.

Skills and Education Required:

Being a data scientist means that you need to be an analytic expert who has an immense understanding of the field and the technical data. As a data scientist, the solutions offered by you may help improve the technical and functional part of a business efficiently. Hence, the role of a data scientist in any business is crucial, making them a leading factor for business.

Considering this, a data scientist needs to achieve a higher level of education and essential skills that can help improve their performance in the job. While different jobs have different skill requirements, becoming a data scientist may require you to focus on additional technical and analytical skills. Some of such skills and the educational requirement to score a good job as a data scientist include:

Skills:

• Fundamentals of Data Science:

To become a good data scientist and set foot in this professional world as a well versed professional, you need to learn the fundamentals of data science, machine learning, and artificial intelligence altogether.

• Statistics and Probability:

Since data sciences are mostly about machine learning and working on technical tasks, understanding the statistics and its advancements is highly crucial. You cannot skip this, as statistics to data scientists is like grammar to writers.

• Programming Knowledge:

With the boost in computing power, machine learning has gone a long way and developed a lot. All thanks to the programming that lets it communicate with the machines. Considering this, you also need to be familiar with programming to have a firm grip of data science as a profession.

• Data Manipulation and Analysis:

When differentiating a great machine learning project from the rest, data wrangling and analytics makes a project stand out. With the skills and knowledge of data manipulation or wrangling, you can easily clean the machine data and transform it into an easy format for further interpretation.

• Data Visualization:

Another highly crucial skill that helps you become a more skilled and better data scientist is the knowledge of data visualization. While other concepts and data science skills may seem boring, this is definitely the fun part. It is more like an art, which revolves around the approach of One size fit all. Having a firm grip on the data visualization will allow you to build a story out of the visuals.

Educational Requirement:

Apart from the basic skills, they’re a lot more skills that can help you practice your data scientist knowledge and expertise much better and become more expert in your profession. This can include understanding Big Data, Deep Learning, and much more with basic skills like communication skills, curiosity, structure thinking, storytelling skills, etc. While these major and minor skills can help you improve your expertise as a data scientist, having a high degree in this field is also crucial.

Hence, to score a great job as a data scientist, you may need to focus on your skills while having a beginning level degree in this field. For this, having a bachelor’s degree in data science or computer-related field is compulsory to set foot in this field as an entry-level data scientist. Additionally, to achieve higher career goals, you may need a master’s degree in the same field.

Salary Comparison:

Like any high-profile profession, data scientists may seem like highly paid professional. However, it is hard to predict until you know how much they are paid in the world’s largest and most populated countries. Hence, let’s explore the average salary of a data scientist in the following countries:

Future Growth:

Now that you’re familiar with how you can become a better and more professional data scientist, it’s time to have a clear view of the future too. While you cannot predict the future, it is always better to choose a profession that has a declining demand. Additionally, when you choose a profession that may have higher demand in specific countries or globally in the future, you can make a better decision about your future.

The expected growth regarding data-related skills is always going up. Since a data scientist is a do-it-all and can fit into any industry, it is certainly not going to lose its demand in the nearest future. Not just that, but LinkedIn’s 2020 emerging jobs report list marked data scientists as the #3 job having a 37% annual growth rate.

Famous Data Scientists:

To help you better understand your profession as a data scientist and mastering your skills as a part of the job industry, let us look at some popular data scientists of today’s world that you can look up to.

• Geoffrey Hinton

If you are familiar with data sciences any bit, you would know Geoffrey Hinton. He is known as the Godfather of deep learning in the field of data sciences. He is best known for working on neural networks and artificial intelligence. Being a PhD in artificial intelligence, he is well known and accredited for his outstanding work on neural nets.

Twitter: @geoffreyhinton

• Jeff Hammerbacher

If we move to a more popular and professional data scientist’s younger role model, it’s hard not to include Jeff on this list. Jeff is the co-founder of the term ‘Data-Science’. His expertise includes developing methods and techniques for capturing, sorting, and analyzing a large amount of data. His achievements and work portfolio involve a wide list of professional achievements, from starting Facebook’s data science team to being the co-founder at Cloudera along with an instructor at the Icahn School of Medicine. Additionally, he is the published author of “beautiful data”.

Twitter: @hackingdata

• Bayo Adekanmbi

Olubayo is an award-winning business and digital innovation executive who combines business and technical skills in conceptualizing and implementing business/commercial/analytical strategy. He combines 20 years of cognate industry experience in Digital Innovation, Strategy, Marketing and Data Science/Analytics from the two largest economies in Africa (Nigeria & South Africa). He is the founder of Data Science Nigeria, and he is our Rockstar as he published the first Artificial Intelligence book for elementary schools and beginners in Africa!

LinkedIn: @bayoadekambi

So Where Can You Start?

Now that you are sure how and why you need to become a data scientist and the notable people in this field, why not start preparing for it today? Yes, you heard that right! Since learning does not has a specific age and it’s always better to start from at an early age, it’s always better to start your learning journey today through this Programming Course.

Besides, when you are willing to be the best in your future profession and score a successful place in the field, it’s certainly important to seek benefit from your free time for learning. For that, this course helps you to make sure that you can have a firm grip on programming by learning its basics and a few advanced skills efficiently, by or before the age of 18. Isn’t that cool that you are already working towards your future profession? But do not just settle there, as your data visualization skills can also achieve an earlier pat on the back, thanks to our Drawing and Animation Course.

Conclusion:

That is all to our guide on becoming a data scientist and understanding the profession in detail. Now it is time you decide whether becoming a data scientist is a part of your future-proof ambition or not! If so, let us go make those dreams come true sooner with the best and reliable courses offered by 1010 Coding TODAY!