While numbers and mathematics is often a source of stress for people, data science is quickly pervading every aspect of our lives. 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. Needless to say, data science is quickly becoming a powerful tool for both businesses and governments. What comes up less frequently in conversations about big data, however, is how data and data analysis can benefit individuals.
One major perk of learning or mastering data science is that jobs in data analytics are becoming increasingly more in demand. According to reports from LinkedIn and the Harvard Business Review, jobs in data science are quickly becoming more and more popular. 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 data science has reached a high level of job security. Whether you’re already a data scientist or are thinking about learning more about it, perfecting data analysis will mean there will be a plethora of jobs available. Since the discipline is so broad, this can mean that you can do anything like being or being involved in:
- Data analyst
- Official government statistics
- Artificial intelligence
- Data engineering
- Marketing analytics
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 will be able to work for. Data scientists are in demand not only in banking and government sectors, but also by 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 Can Learn from Data Science
Enrolling in a data science course can help you either acquire new skills or perfect the ones you didn’t know you had. Some of the more popular skills cited as being required from data scientists include computer programming and linear algebra. However, data science involves much more than hard maths, but analytical skills such as:
- Critical thinking
The best way to put it is, everybody can press a button and create output on statistical software – however, it takes understanding the logic behind these calculations and the power of storytelling to be able to be a great data scientist.
Data science involves a wide variety of skills, whether you are interested in teaching people the algorithms that makeup computer software, or yearn to be a graphic artist that is trying to push the boundaries on data visualization – data requires many different skills and people in order to make it understandable to a wide variety of people.
The reason why enrolling for a data science course can help you in your daily life is that, acquiring any of this wide array of skills will enable you to either choose different career paths later on or occupy new positions within the same industry. Because data science requires interdisciplinary knowledge, there is a lot of flexibility in terms of what career paths you will be able to pick.
Data penetrates every aspect of our lives, which means that as a data scientist you can start off analyzing and creating reports for investment banks and five years later, have become a bio-statistician helping pharmaceutical companies run trials.
Even within the same industry, like business, you can start off as solely a data scientist, analyzing big data for companies under an IT department, and then move to analyzing large portfolios of that same business’s clients because of the advanced analytics required. This means that, even within the same company, you have the flexibility to change positions because of the wide range in skills in data science. 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 a competitive advantage in building your own business too. Data science can give you the data intelligence that will help you create data-driven strategies in order to make your business data work for you!
Analytics software such as Google Analytics, SPSS, and Hadoop 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, 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 people either don’t take advantage of their raw data, or hire data scientists to do so!
Whether you’re looking to save money by doing it yourself, or are genuinely curious to understand data science, understanding what data is and analysis tools can help you identify the level of data quality you have, and help you produce both structured data and helpful, analytical reports.
If you’re interested in some of the more complex issues surrounding data science, such as natural language processing, machine learning algorithms, or even just complex excel queries – you can even automate the collection, storage and analysis of your data. Adding automation to your skill set can either set you apart in terms of the job market, or improve your own individual endeavors.
Become a Decision Maker with Data Science
Data science is not just useful for your career life, but for your personal one as well. With the exponential rise of big data in the last few years, it has become more and more important to understand data science in terms of politics, society and governments.
Like previously mentioned, understanding data science does not mean you need a degree or official recognition. Learning about data science can take the form of reading blogs and articles related to innovations or explanations in data science, following a data science podcast, or reading some books about the discipline. If you're interested in studying data science as a possible career or study path, there are many data science courses taught all over the world!
Attaining skills in data science, while hard to believe, can lead to a better grasp on the current affairs that perhaps you’ve felt you couldn’t keep up with in the past, like your nation’s business and economic trends. Communication and analytical skills will be able to help you analyze markets and current events to understand the economy and financial markets better.
With data science, you will be able to make more informed decisions when it comes to your individual as well as your community’s financial and economic problems – as that is essentially what analyzing data is and improves. From deciding where and when to buy a house to understanding the latest political protest, you will be able to comprehend the bigger picture with data to back your insights up with.
Learning about or perfecting analytic skills will help you regardless of what job you have already. Learning about data science is not complicated, and doing so will enable you to empower yourself and also the communities around you. Understanding and learning about the statistics that help define the world around us can help empower communities that are disadvantaged to help improve 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 decisions made in grocery stores, gas prices, municipal services, and many other sectors that effect your daily life.
Learning about data will also refine skills in challenging and questioning the world. Numbers can be quite a powerful tool against authoritarian governments, but also are important in challenging the types of governments you support.
Data visualizations from journalists in authoritarian regimes can help transform previously incomprehensible political struggles into digestible news both at home and for an international audience. Data is the backbone of many industries and governments you are or will be part of, and understanding how data effects these sectors can help you be critical of the political systems around you.
Ultimately, learning about data will help you question the world but also the very data that makes it up. A word coined in just the last couple of years now effects policies in law enforcement, journalism, governments and corporations: fake news. It is becoming ever more important to understand how numbers can be manipulated, and it remains vital to make informed decisions. It is not necessary to understand complicated maths and algorithms to be able to be analytical about data – it is only important to be able to keep questioning the world and its data.
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