The placement assistance was excellent – Debashis Gogoi, Data Analyst at Indegene.

There lies a big challenge among engineering students to pick the right field of specialization and build a successful career within the same. Once you understand the core area of interest, upskilling in the same with a relevant course could be a key to unlock your dream career. Here’s how Debashis did it. 

What is your professional background?

I completed my graduation in Civil Engineering from Royal School of Engineering & Technology. After graduation, I worked for 3 months in National Highway project and Gammon India Pvt. Ltd., Guwahati. Then, I moved to Bangalore to pursue the course in Data Science Engineering. Currently, I am working with Indegene as a Data Analyst.

How did you develop an interest in Data Science and How did you choose GL?

I wanted to pursue graduation in Computer Science Engineering but could not as there was no scope for IT in Assam. Based on the available opportunities, I took a course in Civil Engineering. While working during my internship, I realised that I have a passion for Analytics. So I moved from Assam to Bangalore and took some certification courses from Coursera. Meanwhile, I was looking for Data Science courses and got to know BABI is the No.1 course in India for Analytics. Since the only full-time course was of DSE and it was designed for Freshers like me, I took this course.

How was the overall experience with Great Learning?

It was a very nice experience. Before joining the course, I checked the curriculum and found it was very extensive. DSE is a 5-month program and I believe GL did justice in delivering the basics and in-depth understanding. The faculty members were industry experts and they spent a good amount of time with almost all topics. The management was very supportive and the placement assistance was excellent. From CV reviews to Mock interviews, everything made the students really comfortable and industry-ready.

How was your experience at the interview with Indegene?

I got to participate in the placement drives of 6 companies. I got to interview with 3 companies, namely, Kargil Solutions, Evive, and Indegene. With Indegene, there were 2 interview sessions; 1st was a Case Study and 2nd was a Technical Round where they tested me with my basic ML concepts. After the interviews, they offered me the role of Data Analyst. 

Coming from a non-programming background, how easy was it for you to understand the course?

The course is designed with the first week dedicated to Python. Initially, it was a bit tough but then eventually things got easier as we got acquainted with it. The course and the curriculum are very well designed keeping the diversity of the batch in mind.

Any advice for our future aspirants?

My father always quoted me with “Patience and Perseverance always pay”. Along with it, working hard, being focused, and believing in oneself will help anyone achieve the best out of the program. I will suggest them to practice more and participate in a lot of competitions.

 

Upskill with Great Learning’s PG program in Data Science Engineering and unlock your dream career.

The only resolution you should be making in 2017

Every New Year brings with it the hope of a new beginning in our lives and along with it, come the myriad of resolutions we make to ourselves. Research indicates that most of the resolutions made by people are towards fitness and weight loss. As a result, January becomes a windfall month for most gymnasiums and fitness studios while most of us don’t become any leaner or fitter with passing years the one thing that we can definitely achieve is being a better version of ourselves. To achieve that you don’t have to make tall promises to yourself just Make Learning a Habit.

Learning new things is simple, achievable and one of the most profitable investments you can make each year.

 

1. Learning is like weight-loss

train

Let me make an uncanny analogy here: Aspiring to becoming leaner is very similar to wanting to learn something new. Ultimately, you have to change something that’s core in your behaviour to have the desired results. Both these goals need focus, determination and lots of discipline. And lastly, just as in weight loss as in education, there are no low-hanging fruits or express results. Both take time to fructify, but once you go the distance, there is no looking back.

 

2. Why ‘Learning’ in 2017?

Why we need to learn in 2017

The right question here should be ‘Why Not’. There has never been a better time to learn and frankly speaking, with the changing dynamics of businesses and technology disruption impacting us, if we don’t make learning a habit in 2017 and onwards, our professional credentials would be questionable at best and irrelevant at worst. Learning new skills and upgrading one’s professional capabilities is no longer a matter of choice but a necessity to have a fruitful career. In today’s time and age, the half-life of knowledgehalf-life of knowledge is forever decreasing which means that one needs to keep learning always to stay professionally relevant. The new reality is that what you learn at 25, will not take you till 35.

 

3. What should I learn?

What should you learn

This is like standing by an ocean and trying to find the perfect starting point for your swim. What you can learn is limited only by your intellectual bandwidth and interest. For the sake of brevity, let us focus on what the professional in you needs to learn. Depending upon the industry you are in or aspire to be in, you need to understand the trends that are driving growth. If you are unclear about it, you should talk to your seniors from the industry and pick their brains. Pick an area that is affecting most companies in your space and eventually will impact everyone and build your skill sets in that. Professional competencies such as analytics, big data engineering, product management, information security, intellectual property, digital marketing etc. are high growth areas where most companies are struggling for ‘good’ talent. Finding a sweet spot like this and making yourself competent in it will ensure your career benefits from this talent shortage.

 

4. Where should I learn?

e-learning

Learning in 2017 will be easier than ever before. From blogs to YouTube or TED, from companies offering online learning to mobile apps, ‘lack of access’ cannot be your excuse to not learning. But having said that, having a plethora of options makes it overwhelming and confusing.

I come across some candidates who know what the skills they need to acquire but are not sure if they will be able to learn. I usually advise them to first test the waters by accessing some free content online. YouTube is usually a good source for this. See if you like what you are learning and are able to grasp it.

 

5. Why do we fail to learn online?

why we fail to learn

If you are the kind that does not suffer from such starting troubles, you will usually find your learning options to be either completely online courses or blended courses (online + occasional weekend classroom sessions). Given this spread, how do you decide which format to go for?

Completely online courses provide convenience since you don’t need to attend any classroom sessions. But, online learning has been plagued by abysmally low rates of completion. The main reason for this is that for most of us, we learn better when we learn in a classroom setting with peers and faculty, who we can talk to in person.

The flexibility of attending class room sessions over few weekends in a month gives you the advantage of mixing the best of two worlds – the flexibility of online learning and the learning effectiveness of classroom learning. In our blended analytics program, we have seen hundreds of candidates do our program after having done one or multiple online courses. When asked, the most common response we get is because they feel that their learning in the online programs was incomplete. Also, when it comes to acquiring hard skills such as analytics, big data or machine learning, it is important to focus on programs that are more exhaustive and immersive and don’t take a superficial approach by promising to teach something in a matter of some hours.

 

6. What will it take?

learning in 2017

Learning is for everyone. Amongst the thousands of candidates who take our programs every year, we see about 30% of them to be with in the 15-30 year experience bracket. While there is no age to imbibe the habit of learning, just like with all good habits, the sooner you do it, the better you are. Having said that, learning is hard work. Depending upon when was the last time you were in a class, you would need discipline, focus and perseverance to go the whole distance. Usually, we have seen that the first two months are the hardest but once you settle into a routine within the first sixty days, you will go one to achieve the results you desire. The advice that we give to all our learners is to start small. Begin by dedicating an hour every day for the first 2 weeks, then about 8-10 hours a week for the next thirty days. Small changes in your habit will ultimately lead to big gains in your learning and professional success.

On that note, in 2017, make a promise to yourself. To learn something new and to challenge your professional status quo. Make Learning a habit and build the career you’ve always wanted. Oh and as for fitness, try playing a sport – 5 days a week. It is fun and just as effective (or ineffective) 🙂