Data science as a field is growing at an exponential rate and the field will remain evergreen for the next 20-30 years. If you are someone looking to enter the field then it is mandatory that you enrol in a course and get the necessary industry experience that will help you to get the job of your choice. However, if you are someone who is already working full-time, the challenges of such an endeavour are tougher than you think.
It will take at least six months to master any course from any academy. It requires skills in programming languages and you will be required to put a lot of effort. It is also hard if you are already holding a day job and joining the course part-time. Data Science is a growing field and people around the world are trying to get into it to make profits in the years to come. But you also need to be prepared to face the challenges that come towards you as you take up a course while holding on to your job.
Finding the Time to Learn
The first challenge is obvious, and it is the most common problem faced by engineers and analysts alike. The courses require you to do a lot of learning. Aside from what you learn in your classes every day, you need to be doing homework, yes, homework, so that you get the hang of what you are learning. You will be required to sift through a lot of data and it takes up time. You could be used to laying back on your couch in the evenings after a long day of work, but now, you must take up classes every day, and also revise what you learn in those classes.
Some people even find it hard to allocate a specific part of their day to attend their classes. Just remember that the course is hard to get through, but at the end of it, your pay check is going to go through the roof. If that isn’t the motivation for you to cross this hurdle, then what is? If you can tackle this one challenge then you will be able to cross half the channel.
Choosing the Right Data Science Course
There are a variety of data science courses available right now, and they could branch up to form new ones in the future too. For now, you have data mining, coding, machine learning, data analysis, AI, language processing, applied sciences, optimization, applied statistics, and data warehousing. Each of these courses require a prerequisite knowledge in one or more sciences. Therefore, it is up to you to carefully read through these course particulars and find the right field for you. If you have trouble finding the right course, you can always contact our academy and we will help you find the field that suits you. Our staff will check up your resume and assess your strengths in IT to find the right field and course for you.
Getting Real Industry Experience in the Domain
Once you find the right field in data science, the next step is to match your work experience to suit the domain expectations. You might be a wizard in python in your old firm, but now, python is just a base requisite in the data science field. This means you will be using your collective experience so far to progress in the new field. From our Academy, we can help you hone your skills to suit the data science market requirements.
Almost all courses provided by Indras Academy comes with a real-time industry project in which you will be creating solutions or using the data to find better solutions.
Building a Portfolio to Showcase Your Skills
Finally, it is important that your portfolio/experience speaks up during your progression in the data science domain. For this, you need to practise a lot. Whichever course you pick, you will have to learn the nuances in the field by taking up exercises and practising them regularly. With enough training and tests, you will become an expert in data science, and this will show up in your portfolio. We will train you through several levels of toughness to handle vast sets of data.
Everything from sorting data to analysing them, to extracting insights, we got you covered. Call us now and let us guide you through the best course for you. We will help you successfully transition into this vast, potential field that can change your life for the better.
