Over the last few years, there has been a lot of craze in data science field. It’s in huge demand right now and companies are offering a good amount of package for people who are expert in this field. For those who are beginner have a lot of confusion on how to start their career in data science and be a successful data scientist.
From the outside, it may seem very hard to learn data science but if you have the right path, tools, guide, and knowledge at your hands, you can easily make your grip in this field within a very short period of time. In this article, we are going to share some important tips that you can use as a road map to learn data science by yourself. This will definitely help you to be a successful data scientist.
1. Start with the basics
Before stepping in to learn something, first you should know all basics of that field. This includes basic overview of data science, how it evolved, its scope right now, what are the jobs opportunities in it and how far it can take your career. Once you get to know all these things, you are ready to start with the learning process. This will also help you to grab your attention and interest in data science. You will get to know whether this field is actually for you or not.
2. Join data science online courses
There are so many data science courses available on the internet both free and paid ones that you can join to learn data science. This can help you to learn everything from basic to pro level. All you need is your laptop, some free time in a day, and dedication to take it seriously. Nowadays, all education has shifted to online. You can learn everything from the internet. There are so many YouTube channels out there which provide free education on data science. If you have the curiosity to learn new things, you can easily find resources on the internet.
3. Setup and learn to use your tools
You should be well aware of the tools that are used in data science. Setup them on your laptop or PC and start learning them from the scratch. Some of the most used data science tools are SAS, Excel, Tableau, Apache Spark, RapidMiner, Python, KNIME, Apache Hadoop, TensorFlow, MATLAB, DataRobot, Inc., BigML, etc. Learn how to use these tools, play out with them, and experiment of your own. You can find hundreds of online tutorials on YouTube that can help you to use these tools.
4. Learn probability and statistics
Data science also require knowledge of probability and statistics that helps in extracting useful insight from the data. The probability theory is very much helpful for making the prediction. On the other hand, statistical methods helps in further estimates and analysis. If you have good knowledge of mathematics and statistics, you won’t find it hard to learn data science. Make sure to practice both these things in your routine.
5. Learn programming from basic to pro
There are a number of programming languages that you can choose from when it comes to data science. Python and Java are two of the most popular programming languages used in this field. Although, the basic of any programming language is almost same but their implementation is little different. Make sure that you develop good programming skills in at least one language such that you can create any program easily. The combination of a good programmer and mathematician is what makes a good data scientist.
6. Do a data science internship or job
As of now, you have learned everything by yourself. Now the next thing you should try is to do an internship or job in data science. This is very important as it will help you to work upon real data and you will be able to implement your skills. There are so many job opportunities in data science. You can find it on the internet. Before interview, just make sure that you have prepared yourself enough by learning everything from programming to statistics and probability. You can give online tests to prepare yourself for the interview.
7. Get to know your domain deeply
Before you start working on any project, first step is to analyse it very carefully. Only once you know the overview, you will be able to find out how to work upon that data. Observation is the key before you start implementing your skills. Learn what the data is all about, how it works, and what you need to extract from it. After that, you have to create a roadmap on how to achieve your goal.
8. Keep practising daily
Data science is not something that you are going to learn over night. It will take some time and a lot of practice. This doesn’t mean you should give up to learn it. Take little steps every day and you will reach your destination. Make your target and keep it locked until your achieve it. Practice is the key here. If may seem impossible sometimes but you have to keep your spirit up. Just remember that it is going to benefit you a lot in getting a good package job. You only need to learn it once and then everything will be easy for you.
9. Join the community of like-minded people
You should join the community of other people who are expert or in process of learning data science. There are so many groups, pages, and forums on the internet. Why we are recommending you to engage with the community is because it will keep you updated with the latest news, resources, and tools. Moreover, if you want to ask something, you can share it with other people and they will help you out. In the same way, you can also solve other user’s problems. This this will help you to learn something new and different every day.
10. Keep exploring and learning new things
Data science is a very big field. The more you learn the less it will be. Every year there is something new added in data science. You should be aware of what’s happening in the trend and catch up with it instantly. Don’t just stop learning even if you have become expert in data science. There is always something new that you can learn every day. Make sure to keep your practice mode on. That’s what a successful data scientist do.
So that’s pretty much everything you need to know about this topic. We hope you find this guide helpful. These tips will definitely help you to learn data science easily. Now it’s up to you how you are going to implement them. If you have any question related to data science in your mind, you can share it in the comments below. Do you have some other tips that you want to share with people? What do you think makes a successful data scientist? Let us know in a short paragraph.