Data analysis refers to converting raw and unstructured data into a meaningful piece that can be understood. It can also be said to be converting data into information that is ready for further processing. We live in a data-driven and data-defined world that figures and the ability to make the most of unstructured data define our everyday activities.

Government of nations worldwide rely heavily on the job of data analysts and scientists to formulate policies. For these policies to provide the greater good for most people, it has to be initiated, sustained, and backed up by data.

Businesses thrive today based on how well they can receive, convert, and manage data. Every time you have to leverage technology for the advancement of your business, you are using data. Data scientists develop many of the technologies used to make business transactions a lot faster and easier.

The health care sector, financial institutions, and academic centers all depend on data to operate effectively. Regardless of who you are and what you do, learning data and how to manage it will always make the difference for you.

Having skills like machine learning, data analysis, artificial intelligence, and data mining can be a good way to build a successful career. These skills are in high demand globally, they come with good pay and access to different territories.

As much as the importance of data analysis cannot be overemphasized in the world that we live in today, so does learning it. At one point or the other, you are going to use data. To ensure you are making the most of it, you have to master how to analyze it effectively.

Data set
Mastering technical analysis requires regular and careful study. Source: Unsplash
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The Best Ways to Learn Data Analysis

The internet remains a great place to look up to if you want to learn new data-related skills or develop already existing skills. By surfing the web, you can access different audio and visual materials that will increase your knowledge. You don't have to be physically present in a location for you to learn, as you can consider the several virtual options that exist.

If you plan to build a career in data analysis or data science, you can consider applying to a university in Canada. Several universities offer data and data-related courses for undergraduate and postgraduate studies.

You can enroll in any of these Canadian universities for a one, two, or three-year program and earn a certification upon completing it. This certificate validates your claim of expertise in data analysis or data science and sets you on the part of a worthy employment opportunity.

Other than surfing the internet to learn yourself and applying to the university, you can consider hiring a private tutor to teach you data analysis or data science courses. If this is a consideration you will like to make; you can use a reliable platform like Superprof. On this platform, you will not just find lessons tailored to your needs but experts in data analysis available for hire at affordable prices.Data science and data analysis are similar but not the same. Source: Unsplash

Data Analysis and Data Science – A Brief History

When people think of the history of data analysis, their minds go to machine learning and deep learning, data mining, and the many recent technologies that exist. If this is what you think about data science, then you may be right. However, this doesn't apply to data analysis because the history of data analysis is as old as man.

From the ancient days of farming to the phases that civilization has passed, the need to work with data is as old as man. Let's take farmers, for example. Many years ago, farmers had a system that allowed them to calculate when planting and harvest seasons happen. As simple as this may appear, it is largely defined by data.

Then, as nations began to emerge, there was the need for governments to oversee the affairs of their people. The ability of governments to provide for everyone that makes up their population is based on data analysis. While these are just a few examples, many others validate the long history of data analysis.

However, a careful look at what the field of data is today reveals how much the field has evolved. Data analysis has and will continue to evolve, especially as technology plays a significant role in how we live our lives.

While data analysis has a long history that is said to be as old as man's existence, data science is a relatively new field. The advent of technology is what has necessitated the rise of data scientists and the job they do.

Today, we have different types of computers that have evolved in size. We have new technological innovations like machine learning, artificial intelligence, blockchain, cryptocurrency, and many others. All of these innovations are products of data science.

With data science and data analysis, the deep areas of human adventures like the number of elephants in wildlife, fishes deep down the sea, and birds in the air can be calculated. Data science has made our world and that of those around us a lot better and easier. Study data analysis at university.

Data set
Getting accurate data entails searching reliable sources for information. Sources: Unsplash

Where Can Data-Driven People Find Resources?

It's pretty strange to refer to a group of people as data-driven people because that is a description that should be for everyone in today's world. Whether you own a small business by the roadside or have plans to set up a large store, you need data.

Many times, taking an entire data course may not be the best option for you because you need a part of it. The best way to go about this is to identify the particular area of data analysis you want to learn. When that has been done, the next step is to surf the internet for resources related to that skill.

You often hear many people say the internet is a great place for data-driven people to find information. While this is true on all fours, sieving through tons of information can be a bit challenging. How do you find credible online resources for learning about data science? Read resources only provided for by reputable news agencies or companies that specialize in that area.

Taking false information on a data skill is as good as not taking any information at all. So, before you settle down with a learning channel online, ensure you have carried out proper research to be sure it's a reputable channel.

Helpful Resources for Data Analysts

Several reasons exist why many people want to learn about data analysis. It can be for the fun that comes with it or to build a career in it. Some learn it because they are preparing for a test, exam, or assignment. Whatever your reasons are for showing an interest in data analysis or data science, knowing the right places to look into is very important.

Helpful resources that can help statisticians who want to learn data science or analysis include:

Books

Many great analysts and scientists have written different books that can be a reference point. Some of these books have become authority texts in the field of data analysis and data science. When you go to a Canadian university offering courses in this field, you will find these books as recommended texts.

While you may not have the time to attend a university to study a data-related course, you can get any of these books, read them, and make time to practice everything that is contained in the book.

Blogs

Remember we mentioned that the internet is an excellent place to find resources on data and its related courses because you can easily find several blog posts that have been written on these topics.

However, care has to be exercised when choosing blogs to learn from. While there are blogs that provide credible information from authoritative sources, others are just about getting more traffic to their site.

The quality of content provided by a blog in terms of factual information is what you should look into when deciding whether or not to rely on it.

Find out more about studying data science in Canada.

YouTube

Written and audio texts can be helpful, but there is a lot to learn from video tutorials, and that's why YouTube is an online resource platform that you can rely on. YouTube has millions of useful content from experts of data science and data analysis who are willing to teach enthusiastic and passionate people like you.

Some of these channels offer weekly videos, and others twice a week. Beyond the number of videos and how often they are uploaded, you must pay attention to the quality of content these videos provide.

Hire a tutor from Superprof

Private tutoring is one of the many options you can consider if you want to learn analytics or computer science. With private tutoring, you can enjoy personalized teachings at a time and location that is most convenient for you.

Regardless of where you live in Canada, you can hire a private teacher from Superprof as a statistician who can teach you in your home. If your work or business leaves you with little or no time, you can hire a coach on Superprof and learn using any of the online video channels like Zoom, Skype, and Teams, among others.

See how to learn data analysis from home.

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Marvis

Marvis Osarhenrhen is a freelance SEO writer who is focused on helping businesses reach their target audience, get leads and increase revenue using optimized content.