Many years ago, when you heard about data, the first image that came to your mind may be written documents that do not make any sense to an average man. You may also try to relate it to the definition of a computer receiving such data and giving out information ready for further process.
If that is the understanding of data that you had then, you may not be wrong. However, as the world continues to advance on a technological scale, we have seen how data can mean many things. With the different meanings of what data is, comes the many benefits everyone stands to get from it.
In today’s world, everything appears to be data-driven. Many technologies run based on data, the economies of many nations fall and rise on data. Data largely informs government policies. Behind everything good that happens globally is a group of people who have carefully analyzed different data made available to them.
Even with starting and running a business, you need to know data analysis and management. The success of your business largely depends on data and what you can make of it.
From all of these, you can tell that data is beneficial to every area of our lives. As such, it is almost impossible not to be interested in understanding how data works. Yes, you may not have to go deep into the study of data, but we all need to know what data analysis and management entail.
In this article, Superprof unveils a comprehensive overview of data, data analysis, and how you can learn data analytics.
Data Analysis - What Does It Mean?
There are several definitions of what data analysis is or should be. However, all of these depend on the context in which it is used. In an economic concept, data refers to figures that inform economic policies. Data is any raw material that can be processed into information ready for further processing to an information technology expert.
From the above attempts to define what data is, you can see that data is raw and needs to be processed for anyone to make sense out of it. This is where understanding data analysis and how it works becomes essential. Are you planning to learn new computer skills or take a career in business analytics or data visualization and management? Then, you need to study what data analysis entails.
At first glance, data analysis can appear to be a complex subject that might take years before anyone can understand. That's how it is with every subject on a first look. However, when you take that bold step to start learning, it starts getting clearer and enjoyable.
As a data analysis student, you will know the difference between data analysis and data science. Though they sound alike and have intertwining concepts, they mean different things. Data analysis requires some mathematical skills, as you will have to break down complex data and provide an overview of it.
Data science, on the other hand, requires you to know how the computer system works. Here, you need to understand how the computer works alongside statistical analysis to ensure data is converted into meaningful information. Learn how to analyze data online.
A data analyst should be knowledgeable in data processing and the use of excel sheets. On the other hand, a data scientist can specialize in areas covering machine learning, artificial intelligence, software development, website design, and development.
Another difference between these two concepts is that data analysis goes as far back as man's existence. However, data science is a more recent concept, thanks to the advent of technology and the many innovations that it has produced.
Data analysis and data science can be performed by the same skilled person in both fields.
How to Take Data Analysis Courses
Are you interested in studying data analysis or data science, but you can't seem to afford the high cost? You don't have to give up quickly as there are several learning options at your disposal.
For starters, the best place to consider when looking for free data analysis courses is the internet. You can find technical and non-technical courses on the internet, some with certifications and others without it. On the web, there are many platforms you can register with to take data analysis courses.
It will be difficult to mention all of these platforms in this article, but you can check on Coursera and Saylor. Alternatively, a quick search in Google will provide you with many other options.
However, to make the most of your time learning data analysis on the internet, there are some things you have to get right, and they include:
What data analysis or data science skills will you like to learn?
Choosing the data analysis or data science skills you want to learn can be challenging at first. This is because there are different skills, and when you read through them, you will discover that all of these skills come with their benefits.
You have to be firm in choosing what skill you want to learn, and an excellent way to go about that is to start with the basic skills. Knowledge gained from these basic skills will help you as you advance to the complex courses.
Once you choose the skill you want to study; the next step is to start searching for online courses related to that skill.
What learning style do you like?
After identifying the data skills you want to learn, don't rush to start the course. Take some time to identify the learning style that you want. Considering that you're learning from the web, you can decide when and how you want to learn.
There are several data analysis and data science resources on the internet that you can choose from. They range from blog posts, video tutorials on YouTube to private tutoring. Figuring out your best learning style will help you identify the best medium to learn data analysis with.
What do you want to achieve at the end of the course?
To ensure you are on the right path when learning data analysis, setting a goal from the start of the course is essential. Before enrolling for a course or hiring a private tutor, find out what you seek to achieve with the knowledge.
Knowing what you want to achieve at the end of the course fuels your passion and keeps you focused all through the learning process.
Find out more about studying data science in Canada.
Applying To a University to Study Data Analysis
If you are interested in building a career in data analysis or data science, you must look beyond the internet. You need to apply to a university for a degree program in your desired skill.
Choosing a university to study data analytics in can be a bit tricky. The best way to go about this is to pay attention to the rankings of different universities, especially relating to the course you want to study. Times Higher Education and QS university rankings are two great places to consider when searching for the best university to study data analysis.
After successfully identifying the university you want to study, you also have to know the kind of learning style that works for you. Data analysis can be complex at the start, and you need to bring your A-game to the course to graduate in flying colors.
Whether you want a four-year program or one that runs for just a year, there are universities that offer just what you need.
As you learn about data analysis and data science, you can also take statistics-related courses like econometrics, epidemiology, geostatistics, machine learning, artificial intelligence, biostatistics, etc. If you can't find these courses in the university of your choice, you can hire a private tutor from Superprof to teach you.
Where Can I Find Data Science Resources?
Whether you are learning by yourself, applying to a university, or hiring a private tutor for data analysis, knowing where to find the right resources is very important. Even after completing your course or university program, the studying continues.
The world of data science and the application of data analysis changes with time. As technology advances, you will need to invest your time in constant study to be conversant with these changes. This is more important if you want to build a career around these courses.
The internet is an excellent place to look for suitable materials to aid your knowledge and application of data analysis. With the internet, you can get free materials and even access libraries of renowned institutions globally.
You can also join online communities of data analysts and scientists where opinions and helpful resources are shared.
If you have decided to go for private tutoring after considering your learning style, then contact us at Superprof today. We have private tutors who are professional data scientists and analysts that are ready to teach you. Our tutors have years of experience in applying data analysis and can teach you online or come to your home for one-on-one lessons.
With Superprof, you also get the first hour of your first lessons free without any upfront payment if you hire a tutor for data analysis.