It is one thing to have an interest in data analysis; it is another thing to know how to go about it. If you have always thought of being a data analyst or data scientist but don't know how to go about it, you're not alone. Many people are in your shoes and they are looking for how to learn data analytics online.
With modern civilization and technological advancement, there is an increasing demand for the services of data analysts and scientists. If you can invest your time studying any of these courses, you are positioning yourself for a successful career, one where money won't be a problem.
From machine learning, artificial intelligence to robotics and web development, data plays a significant role. Provided you can convert data into something meaningful, you can also be referred to as gold in this century.
The power and importance of data in the world we live in as touching every area of our lives cannot be overemphasized. Whether it's to drive sales, come up with economic policies, or ensure the seamless flow of information in an organization, data is essential.
The legal and economic system of many countries is largely decided by the data available to the government. Leading companies globally are outshining others in the market because of their access to data and knowledge of making the most of it. You cannot be data-informed and not be valuable in the 21st century.
However, it is not enough to know the many roles data play in our world today; you should know how to become a data analyst or scientist. It is clear that for many people, knowing where to start is the major challenge.
You have to figure out what skill you want to learn, where you can learn, and most importantly, practice what you learn. While deciding where to start your learning journey can be challenging, the internet is a great place to look into.
This guide will provide you with all the necessary information about learning data analytics and conversion online. At the end of this guide, you should be able to work through the seemingly complex process of becoming a data expert. See an overview of data analysis.
How is Data Analysis Different from Data Science?
In your quest to study data and the different branches of data analysis that exist, you will come across two different terms - data analysis and data science. These two terms are often used interchangeably, and it might result in you thinking they mean the same thing.
Data analysis refers to the ability to convert unstructured data into meaningful information. Data analysis goes as far back as the existence of man.
Businesses, government institutions, and many other establishments rely heavily on data analysis to carry out their daily tasks. A person who is skilled in the art of analyzing data is referred to as a data analyst.
On the other hand, data science has to do with being able to combine statistical knowledge with computer skills. Many recent technological innovations like robotics, artificial intelligence, machine learning, and blockchain are based on data science. A person who is skilled in the workings of data science is referred to as a data scientist.
Putting all of these in perspective, you are either a data analyst or a data scientist. Both fields require different skill sets, all of which can be acquired through learning.
Knowing the differences that exist between these two branches will inform your learning process. While you can shuffle between the two, it is essential to note that we live in a world of specialization. People prefer a skilled person in a particular field to one who presents as a jack of many trades and master of none.
There is still more to know about the differences between a data analyst and a data scientist. Take your time to study these differences, as it will help you decide what skill you want to learn online first. After doing so, you should start from the simple skills and grow through the rank of learning to the more complex skills.
Find out more about data science courses in Canada.
How You Can Become a Data Analyst Online
The internet has created a connected world allowing everyone to relate with themselves regardless of their location. However, beyond the ability to interact, the internet is also a great place to learn about anything and everything.
Whether you want data fundamentals or basic knowledge of algorithms, the internet can provide you with everything you need. find the right uni for studying data analysis here.
You can find free and paid courses, blog posts, and video tutorials from experts in data analysis and data science on the internet.
You can also hire a private tutor online to teach you the basics of data analysis. It appears that there is no limit to what you can get from the internet and how much you can make of it.
To become a data analyst or data scientist online, there are some essential things that you must put in place, and they include:
Identify the skill you want to learn
The first step to becoming a data analyst online is to identify the skills you want to learn. As technological innovations continue to spring up, different skills are now relevant in today's world.
From the simple algorithms that define users' performance on web pages to machine learning and robotics, there are several skills to choose from.
To choose the right skill, you have to know what you're passionate about. You also have to decide your level of commitment to learning a skill.
Plan your learning budget
After you must have figured out the skill you want to learn, the next thing is to plan a budget. The internet is a place of vast possibilities so that you can get all kinds of courses.
There are free courses available on platforms like Udacity, Saylor, Udemy, and Coursera.
These free courses often don't come with certificates, so to get certification upon completing the course, you will have to pay a fee. Also, many of these free courses only cover the introduction of these concepts. To have complete knowledge of a particular skill, it is best to register for a paid course.
If you can afford a paid course, then plan a budget for learning about data analysis online.
Find the best online learning platform
With the skill identified and a budget in place, there is still more to do. You have to find the best learning medium that provides relevant materials.
You can choose to learn from blog posts written by experts in the field you have chosen or subscribe to YouTube channels of renowned data analysts or data scientists.
Alternatively, you can consider private tutoring platforms like Superprof if you want one-on-one teaching. The learning platform that works for one person might not work for another, so it is advised to go for a personalized platform that meets your needs.
Be consistent with learning online
When it comes to becoming a data analyst or scientist online, consistency differentiates beginners from professionals. Regardless of the platform you are learning from; you need to be consistent at it to get better.
These data analysis skills can be tricky at first, but as you advance in the learning process, it becomes clearer and interesting until you become a professional.
Studying Courses Related To Data Analytics in the University
The cost that comes with applying to a university in Canada to study data analysis on a degree program is not one everyone can afford. If you can't apply to a university for data science, you can consider taking courses related to data analytics.
Major courses related to data analytics and data science that you can consider registering for include:
When you study any of these courses, they provide you with the foundational knowledge needed to master data analytics faster and better.
How Do You Find Data Resources Online?
Studying data analysis doesn't have to be because you want to build a career in it. Basic knowledge of what data analysis and data science entail are important for everyone in today's world.
Whether you're a student, a business owner, or a government official, you need to be data-driven. Everything in today's world rises and falls on the availability of data.
Considering the importance of data to what we do and how we do it, knowing where to source data is vital. It is not enough to have data at your disposal; you have to ensure reliable data coming from a credible source. This is why you shouldn't trust random blogs online offering data or data analysis.
Before accepting any data presented to you, run a background check on the source of that data. How credible is the data source? If the source providing such data is not credible, there is a low chance of such data being reliable. Can you see why having some knowledge of data analysis is essential? It helps you identify reliable data from non-reliable data.
If data is vital, learning it is necessary, and one way to go about that is to hire a private tutor who is an expert in data analysis or data science from Superprof.
Regardless of where you are in Canada, a private tutor is available for home and online tuition. Contact us today, and let's get you started on your journey to becoming a professional data analyst.
See where to find resources for data analysis study.