While numbers and mathematics is often a source of stress for people, data science has become ever-present. From creating new laws in response to data breaches, to how your recommendations on YouTube get selected – our data is used everywhere, all the time.
In this way, data science has become a powerful tool in the arsenal of both businesses and governments. However, in all of this, the individual and their relation to data analysis isn't brought up as much. Particularly in conversations regarding big data. Or how data and data analysis can benefit a person.
Learn Data Science for a Stable Career
One major perk of learning or mastering data science is that jobs in data analytics are booming. According to reports from LinkedIn and the Harvard Business Review, data science is fast becoming a top career choice. In fact, within the field of data science, specializations in AI and machine learning dominate job markets.
With these prospects, it is easy to draw the conclusion that a career in data science means job security. Whether you’re already a data scientist or want to learn data science, mastering data analysis skills will mean steady work.
Since the discipline is so broad, you might become a:
- Data analyst
- Business owner
- Government statistician
- Data Engineer
- Growth Marketer
Not only does this mean flexibility when it comes to roles that will be available to you, but also in terms of what companies you might work for.
Data scientists are in high demand in the banking and government sectors. Or they might work with some of the world’s biggest corporations, such as Facebook, Microsoft, Google and Apple.
This also leads to flexibility in choosing how you will work. Whether you want to work in a team environment, or really enjoy working solo, you will have the freedom to choose the right work environment for you. A team environment can include other data scientists, whereas solo work can include freelance data work.
Whether you’re involved in business analytics, data management, or big data analytics, you will be able to choose what kind of framework works best for you, and to what degree you work in a structured and innovative environment.
Skills You Master When You Learn Data Science
Enrolling in a data science course can help you acquire new skills and perfect the ones you didn’t know you had. Some of the most relevant skills cited as being required from data scientists include computer programming and linear algebra.
However, data science involves much more than hard maths. Data scientists must also excel at problem-solving, critical thinking, communicating and working as a team.
Anybody can press a button and create output on statistical software. But it takes understanding the logic behind these calculations and the power of storytelling to be a great data scientist. Learning and applying data science involves a wide range of skills, imagination among them.
You might be interested in teaching people the algorithms that make up computer software. Or perhaps you yearn to be a graphic artist, pushing the boundaries on data visualisation. W
orking with data requires professionals to make it understandable and functional to the end-user.
Enrolling in a data science course will enable you to either choose different career paths or occupy new positions within the same industry. Data science requires interdisciplinary knowledge so there's a lot of flexibility in terms of what career paths you can pick.
Data penetrates every aspect of our lives. As a data scientist, you can start your career analyzing and creating reports for investment banks and change tacks to become a bio-statistician helping pharmaceutical companies run drug trials.
Even within the same industry, you might start as a data scientist, analysing big data for companies under an IT department. But then, you could move to analysing large portfolios of that same business’s clients because you have the necessary analytical skills.
This means that, even within the same company, you have the flexibility to change positions, thanks to the array of data science skills you've mastered.
Understanding data science has important implications for individuals as well. Learning about different types of data, data processing methods and analytics tools can give you an advantage in building your own business. Data science can give you the data intelligence that will help you create data-driven strategies to make your business data work for you.
You might access analytics software such as Google Analytics, Statistical Product and Service Solutions (SPSS), and Hadoop. They can help you uncover trends in your data even without having taken any online statistics course or data science course.
Customer analytics can help give your business value, and develop your websites or blogs. Knowing these types of software can also have immense organizational value as well.
Data can be messy and confusing, which is why many businesses either don’t take advantage of their raw data, or hire data scientists to do so. Some businesses want to save money by managing data themselves and others grow genuinely curious about data science. Many want to know what data is and which analysis tools can help them identify the level of data quality they have. Mostly, they need help to produce both structured data and analytical reports.
You may be interested in some of the more complex issues surrounding data science. Those include natural language processing, machine learning algorithms and complex excel queries.
Did you know you can automate data collection, storage and analysis? Adding automation to your skill set can set you apart in the job market and improve your own individual endeavours.
Is Data Science In Demand in Australia?
The finance industry is a pillar of the Australian economy so you might guess that skilled data professionals are in high demand. As noted above, banks and governments depend on data science to maximise the value of their assets and transactions. Universities depend on data science to track enrolment and exam statistics.
As a data scientist, you may interpret data to help the government allocate funds more efficiently. You might insulate our financial systems from harm or determine lending guidelines based on market probabilities.
These are all functions and services that keep the Australian economy humming. So we could say that data science is in demand in Australia!
Make Sound Decisions with Data Science
Data science is not just useful to your career but in your personal life, as well. With the rise of big data over the last few years, we need to understand data science in terms of politics, society and governments. As previously mentioned, understanding data science does not mean you need a degree or official recognition.
You can learn data science aspects from reading blogs and articles about innovations or explanations in data science. You may follow a data science podcast or read some books about the discipline.
If you're interested in studying data science as a possible career path, you can learn data science from courses taught all over the world.
Attaining skills in data science can lead to a better grasp of current affairs, like Australia's business and economic trends. Communication and analytical skills will help you analyze commerce and trade to better plan your business and personal financial interests.
By applying data science, you will make more informed decisions about your individual as well as your community’s financial and economic problems. Such knowledge and skills could help you decide where and when to buy a house, but also to understand the latest political protest.
When you're skilled at analysing data, you can 'get' the bigger picture because you have data to back your insights up.
Learning about or perfecting analytical skills will benefit you regardless of what job you have. When you learn data science, you will empower yourself and also the communities around you. Understanding and learning about the statistics that help define the world around us let us better assist the disadvantaged and improve aid systems already in place.
If you’re interested in how local policies affect you, data science can give you the power to analyze them. Data affects grocery and gas prices, municipal services, and many other sectors that affect your daily life. Learning about data will also refine skills in challenging and questioning the world.
Numbers can be a powerful tool against authoritarian governments but also are important in challenging the types of governments you support. Data visualizations from journalists can transform previously incomprehensible political struggles into digestible news, at home and internationally.
Data is the backbone of many industries and governments you are or may become a part of. Understanding how data affects these sectors can help you be critical of the political and economic systems around you.
When you learn data science, you may question the world but also the very data that makes it up. 'Fake news' is termed often bandied about these days. Bad actors use it to affect policies in law enforcement, journalism, governments and corporations, often by manipulating data.
It is becoming ever more important to understand how numbers can be manipulated. We don't need to understand complicated maths and algorithms to be able to be analytical about data.
But it is important to keep questioning the world and its data. Doing so remains vital to making informed decisions.
Enjoyed this article? Leave a rating!
Loading...
