Every mistake you make while learning a subject is a lesson in itself. However, some of these mistakes that are easily avoidable take a lot of time and effort to be rectified. Some of them can even put you off learning the subject. This is even more pronounced when you talk about a subject that is relatively new and is still evolving, like data science training. If you are aware of the pitfalls before you start the journey, you will also know to avoid them. Here are some of the biggest mistakes that you can easily avoid while learning data science with Python training.
Lack of Practice
While there are some subjects that you can learn theoretically and be good at, data science is definitely not one of them. Data science is not a theoretical science. While it is good to understand all the basic concepts well, all of that is of no use if you do not know how to apply them to the real world problems. And it is unreasonable to expect that, you would know how to do it when the time comes. There are many problems you encounter and fix only when you are implementing something and not while reading about it. Becoming a good data scientist requires constant practice and you need to be ready to put in that effort.
Not Being Industry Specific
While applying your theoretical knowledge on projects some students tend to pick generic projects or they aimlessly do projects in many different areas. This is a costly mistake. And here is why.
One of the perks of becoming a data scientist is that you get to work in the industry of your choice since almost every industry uses data science. However, you need to understand that every industry has specific and unique problems. If you have to solve them, you need to be aware of them. You also need to know how to mould the concepts you studied into something that fits the industry you are working in. So, pick an industry and do projects that are specific to that industry alone, when you are implementing the concepts you learned.
Doing it Alone
Everyone has a different way of studying. Some study in groups while others like to do it by themselves. Data science with Python training is not one of those things that you should study alone. The main reason for this is that data science is a collaborative field. It is also a field that is constantly evolving. By learning it by yourself without communicating with others in the field, you do not develop the skills required to work in this field. You also miss out on learning about some of the recent changes/trends because no one told you about them.
All you need to do is be active on the online forums. This will not only help you understand the subject better, but it will also improve your networking with others in the field.
Not Learning How to Clean Data
Data scientists analyse the data presented to them, get a model from the data, and try to predict certain results based on this. The foundation of the whole process is the data itself. But many a time, the data given to the data scientists is not clean or it contains unwanted values. Cleaning the data is a major part of a data scientists job. Learning how to do this is crucial if you want to excel at your job.
Not Communicating the Results Effectively
As a data scientist, you need to constantly communicate with non-technical people. These may be the ones who need to take business decisions based on the information you’ve given them. For them to make the right decision and for you to be effective at your job, you need to present your results in a manner that everyone can understand. Learning how to communicate your results in a clear and concise manner to others is also an important but oft-ignored part of learning data science.
Learning only the How and Not the Why
You will need to use different algorithms to perform different tasks or to get certain results. While it is important to know how to use these algorithms, it is also equally important to know why a particular algorithm or model is suited for a particular scenario. Without this knowledge, you may end with the wrong model and get the wrong result.
Learn It the Right Way
A Data science with Python course is one of the most interesting and exciting fields to study right now. Make sure you sidestep the mistakes mentioned above and you will definitely end up with a lucrative job in the industry of your choice!
