Great Learning’s program made me job-ready: Aishwarya Sarda, PGP-DSE Alum

Learning is a continuous process. As the trends in the industry change and evolve, upskilling will ensure you stay ahead of the curve. Read on to find out how Aishwarya, our PGP-DSE alumnus underwent a successful transition with Great Learning.

Why did you choose to learn Data Science?
After completing engineering in computer science in 2014 I moved into operations initially with the Bank of America in the banking segment and then in e-commerce operations at Amazon. After that, I felt the need to make a career transition, but for me going for higher studies was costing a lot of time and money and this became the prime reason to look for courses like the  PGP-DSE program because of its durability, the timeline, and opportunities to transition to a better role in mare 6 to 7 months. Great Learning has its own brand name which made it easy for me to decide and join. I had considered 3-4 courses like ISB, Insofe, Upgrad, but Great Learning was more affordable and relevant to me.

Did the course help your transition to Data Science?

I was not from a Data Science background, but I wanted a transition into business analytics. I knew that I would need to be strong with the concepts of statistics, Python, Machine Learning and SQL. I can say that the program has covered almost everything that is mentioned in the curriculum. Professors were really focussed on what the market wants and hence the curriculum is designed with a lot of flexibility and keeping an eye on future trends.

Did the course prepare you for interviews?

I was interviewed by recognized companies like Big Basket, HPE, TVS etc. The interview with HPE was a major turn around for me. I cleared three interview rounds and everything they asked was related to previous experience and program curriculum. So I think it was a very good learning experience for me as well. Even though I did not opt for the placement process by Great Learning, the course still made me job-ready and I was able to bag two more jobs. The One with Cisco and the other with Uber and I bagged the latter.          

Do the learning outcomes help you in your current job role?

After completing around 4 and a half months of the program, I had applied for Uber. The knowledge that I gained through the course really helped to crack the interview. The first round was the written test conducted on advanced excel, SQL, and basics of Machine learning. The second round was entirely on SQL for which I would credit Professor Girish for his sessions. The third round mainly focussed on my business acumen, domain knowledge as well as how I would improve new processes in Machine learning. I majorly work on SQL and visualisation here.

What advice would you give to the aspirants?

This program is ideal for anyone who is looking for a transition into the field of Data Science. I am not saying that you will land up at a job if you enrol for this program but it will make you job-ready and make you efficient enough that you can crack any interview on your own of which  I am a living example. The curriculum is very well designed and the placement support is really good.

I interviewed with many companies through Great Learning: Hariprasath, PGP-DSE Alum

  1. What is your academic background and work experience?

I have completed my graduation in Electrical and Electronics Engineering from PSG Tech in Coimbatore. After college, I worked for IBM as an associate software developer and worked with SQL. After this, I took a break to try competitive exams and other career options and that is when I came across this course through a friend who was already enrolled for PGP-BABI in GL and on his reference I joined DSE.

  1. Why did you choose Great Learning for Data Science?

The assurance I got from those already studying in the Great Learning regarding the course structure and placements convinced me to join the course. I joined Data science because it is a demanding field and a very interesting topic. Additionally, the basics of machine learning covered in the course were really helpful for us to transition into many different positions in the industry.  

  1. What were the outcomes of enrolling in this program?

The hands-on learning approach for almost all of the courses and languages like SQL, Python covered in the course helped us understand well and prepare ourselves for our interviews and career in our future. Also, we got to learn a lot from the experience of some of the expert faculties here, making the learning very enriching.

  1. How did the experience here help you in your career?

The program curriculum is designed to provide the basics of data science, statistics, machine learning and data visualization. I got several face-to-face interview offers from many companies in spite of a break in my career. Utilizing these opportunities, I interviewed with many companies like BigBasket, Cartesian Consulting etc via Great Learning. We had mock interviews, multiple CV reviews, career prep sessions, aptitude sessions etc which helped me outperform myself in all my interviews.

  1. How did you get in your current role? What were you interviewed in?

I applied at Latent View through the referral of a friend. The first round of interview was an SQL Programming test followed by two rounds of technical interviews where I was tested mostly on Python and SQL, their emphasis on business analysis, approaching the solution, guesstimates and basics of statistics and machine learning.

Any advice to aspirants who intends to take up this program?

Be passionate and self-motivated in whatever you learn here. In case of any problem, talk to Faculties and in case you are scared of maths and programming, don’t be, work on it.

I feel lucky that I got to join Great Learning: Suchitra Ravi, PGP-BABI Alum

After a maternity leave, it might get challenging to get back in the corporate world. That didn’t stop Suchitra though. Her steadfast determination to pursue a successful career, along with Great Learning’s PGP-BABI put her on the path to success in an Analytics career.  

Why did you choose Analytics as a stream?

I finished my B.E. in 2012 after which I worked at Infosys for about 3 years as a Developer. Due to personal reasons, I had to take a break from my career and soon after, I realised how Data and Analytics are the booming sectors, full of opportunities and growth. With that, I started googling and after a lot of research, I wanted to take charge of my life and transition my career into Analytics.

Did you consider any other options before joining Great Learning?

I consider doing my post graduation from a reputed college that provides specialisation in Analytics but eventually couldn’t join as it was in a different city. After this, I did search for all the possible online courses in my city and came across only a handful that made sense to me. Finally, I felt Great Learning was the right choice for me, because of the brand image in the industry and stories on successful career transition for many, and because they provided quality education. Also, the prime reason to join the course was it was I had to attend only 1 weekend class per month and rest was all online, making it easy for me to manage home and studies.

What was your experience with Great Learning like?

I feel Great Learning was as a blessing to many like me who have breaks in their career. Not just it gave me quality education, a clear understanding of each subject domain but also networked me to my batch mates and expert faculties, who boosted my confidence to start again with my career; and do it much better this time. With their support, I started performing better in Statistics and Accounts where I had no prior basics and GL delivered what it promised in terms of the curriculum.

What did you like the most about Great Learning’s Analytics program?

The best that anyone can take out with this program is the Capstone project. As a team, we performed a live project. Through it, I was able to get into Radiant Global solutions as an intern first and then got confirmed as a Senior Data Analyst.

What’s your current role like?

With everything that I learnt from the course, I felt my previous role was very limited and I wanted to do more with my knowledge and rebuilt confidence. Great Learning, again supported me by organising Excelerate, where I tested the waters with many companies and finally cracked Tiger Analytics and got in as a Senior Analyst. I feel lucky that I got to join Great Learning and believe that if this wasn’t from them, I would have not got my confidence and life back on track with this ease and comfort.

Do you have any tips for other aspirants?

Learning Never Stops at Great Learning. This one-liner drove me all the way through my journey here and will drive me henceforth in life. I want to tell all, that nothing can stop you except yourself. If you want to do something in the analytics field even if you have a break, GL is the right place for you. With the right guidance, mental support and expert faculties, you can grab any opportunity on your way with your hard work and self-motivation. 

Career Support stands out at Great Learning: Alvino Aji, PGP-DSE Alum

Here’s how Alvino Aji went from a fresh college graduate to landing a job at Uber. 

Why did you decide to learn Data Science?

I have completed my Computer Science Engineering in 2018 and I had plans to go for higher studies. But I thought it would be better to have some field and market experience before I join MS. So I decided to opt for Data Science and Engineering program as one of my cousins was already enrolled in. Since it was a full-time program I relocated to Bangalore.

What did you like the most about the program?

The faculty are really good here, I mean the interactive sessions with them were amazing. The sessions were not like monotonous classes, but there were lots of hands-on sessions that made it very interesting. The curriculum is very well designed and the boot camp model of training is excellent.

How did you land a job in Uber?

Uber had conducted an online test at our Bangalore campus. After clearing the test I had two technical rounds. I was tested majorly on Python, SQL, Machine learning and SAS during my interviews with Uber. Thanks to the guidance given here I grabbed this opportunity and joined in my dream company as a fresher.

How was the career support offered by Great Learning?

I had an opportunity to get interviewed by some of the top companies. Career support here is what that stands out and makes Great Learning better apart from other reasons. I had one-on-one career mentoring session with Mr Srijit Ghatak which was extremely enriching where he mentored me and gave me tips on improving my CV and interviews.

What is your advice to the aspirants?

Even if you fail in an interview, you still have a lot of things to learn from the experience of giving the interview. Keep improving on all the things that you think you are weak at and polishing those which are your strengths, that will help you in the long run and eventually crack many opportunities on your way.

6 best options to upskill yourself in 2019

The current state of the job market, globally and in India, is in a state of upheaval. There are new advancements in existing technologies that demand that professionals be aware of all the changes, and some technologies are completely changing the nature of certain professions. To put that in context, the World Economic Forum estimates that 65% [1] of children entering primary school now will be working in jobs that do not currently exist.  

Each working professional is now aware that they need to be constantly learning in order to stay relevant in the work-force and secure their future careers. But what they choose to learn is also very important. Nobody wants to be stuck with a pager when the entire world uses cellphones. This also applies to freshers and early-career professionals, who need to build the right skills so that they don’t waste time working in domains that may soon become obsolete.

At Great Learning, we’ve seen over 10,000 learners who have transitioned to rewarding careers in domains that we are sure would build the future. We’ve specifically chosen to design programs in these domains, after extensive research on long-term growth prospects and employment opportunities that will be made available in the future.

We’re using that data we have to list out the various options for you based on your experience and interests. Take a look.

1.Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning

The World Economic Forum has estimated that 75 million jobs will be displaced by AI by 2022. But it’s also going to add 133 million jobs in the same time frame[2]. That’s a net gain of 58 million jobs that will be available for qualified professionals. In addition to the availability of jobs, there’s a massive shortage of AI professionals in India, because 76% of companies[3] say they have trouble implementing AI due to lack of qualified employees. When this huge demand is combined with AI influencing every other domain, it’s an obvious choice for anyone wanting to work with a technology of the future. Great Learning offers 3 programs in this domain:

PGP-Artificial Intelligence & Machine Learning – A 12-month comprehensive program that will make you an AI expert.

PGP-Machine Learning – A 7-month program that covers Machine Learning exhaustively with some context about Artificial Intelligence.

Deep Learning Certificate Program – A 3-month certificate program for professionals with experience in AI and ML, to gain an in-depth understanding of Deep Learning

2.Business Analytics and Data Science

Business Analytics and Data Science

No business in the modern market place can afford to ignore Analytics right now, because they need data-driven decision making to improve their outcomes. Data Analytics is also now ubiquitous because even domains that seemed impervious to data analytics are now adopting them, such as law, defence, HR, in addition to the increased adoption by analytics-driven industries such as finance, logistics, internet companies and so on.  

This domain also suffers from a similar problem of a lack of qualified professionals, leading to over 97,000 jobs [4] being vacant in India. which can be filled after taking one of these programs:

PGP-Business Analytics & Business Intelligence – This 12-month program requires no prior technical expertise and teaches you all you need to know about Business Analytics in an industry context. This program is better suited for professionals with a few years of experience.

PGP-Data Science & Engineering – This is a program aimed at fresh graduates and early-career professionals to help them launch their careers. This is a full-time program that offers immersive learning in a classroom format.

Business Analytics Certificate Program – This is a certificate program that’s aimed at beginners to learn the basics of Business Analytics. Since this is an online program, learners will have a flexible learning experience.

3.Cloud Computing

Cloud Computing and DevOps

Cloud Computing forms the backbone of data delivery and management, as it offers great flexibility and cost-effectiveness to organisations. Cloud computing has grown over the past decade to make data accessible to everyone, and the future of cloud computing hinges on remotely delivering hardware capabilities. Cloud computing has already phased out CDs, DVDs, Hard Drives and pen drives as the preferred mode of storage, and they’re only getting started. This bodes well for people looking to get into cloud computing to further their careers, because India is poised to see over 1 million cloud jobs by 2022, according to IDC [5]. Here’s how you can upskill:

PGP-Cloud Computing – This is a 6-month online program that will teach you to become a cloud architect. The program comes with an optional Developer track certificate offered to professionals with prior programming experience. Learners can choose to build expertise in AWS, Google Cloud or Azure.

Devops Certificate ProgramThis DevOps program teaches professionals the practice of building and deploying systems in the cloud. At the end of this online program, learns will become competent DevOps engineers.



As more systems move online, there’s a larger requirement for keeping all information and services safe and secure. Critical operations such as banking, defence all have cutting-edge security systems, and the same degree of security is trickling down to other domains as well. In the light of recent privacy concerns, every organisation that holds any data are looking keenly to improve their security measures. This gives rise to an opportunity for professionals to upskill in cybersecurity and launch their careers. The Asia-Pacific region alone has a shortage of 2.14 million cyber security professionals[6]. This program will ensure that become well-versed in cybersecurity:

Stanford Advanced Computer Security ProgramThis 6-month online program is a program by the Stanford Centre for Professional Development, delivered by Great Learning. It features course content and online videos from Stanford faculty and helps learners transition to a career in cybersecurity.

5.Full Stack Development

Full Stack Development

As more companies look to increase their software capabilities, Full Stack Developers and in demand because they can look at a system holistically and troubleshoot any errors that may arise.  Since they are familiar with both the front-end and the back-end they’re well-suited to participate in the end-to-end process of building and managing applications. Reports have estimated a 20% growth in jobs making it an in-demand job profile in India [7].

CAP-Full Stack DevelopmentThis online program teaches all aspects of Full Stack Development and is perfectly suited for early career professionals with at least 1 year of experience, who are looking to gain relevant skills set that will set them up for career success.

6.Digital Marketing

Digital Marketing

With increased online digital ad spending by almost all companies, the digital marketing space has seen explosive growth over the past decade. Every company needs to maintain a digital presence, which increases the demand for Digital Marketing professionals. Digital Marketing has ample growth opportunities in a wide variety of skills such as Email marketing, Social Media Management, Content Marketing, SEO/SEM and much more, so learners have the freedom to choose to specialise in the vertical that resonates the most with them, which this program will help with:

PGP – Strategic Digital MarketingThis 5-month online program covers a wide range of Digital Marketing skills, and helps learners become a well-rounded Digital Marketing professional.

The skills and domains described on this page are without a doubt the technologies that will build our future and dictate the course of human progress. Depending on your experience, and of these skills will definitely set you up for career success, provided you put in the work to learn concepts and apply them to real-world problems.

All the programs that listed here use real-world projects to instil the theory you’ve learnt. They also have industry experts who will give you useful insights into how you can apply what you’ve learnt to solve real-world problems. Career guidance is also included in the form of interview preparation, CV building, access to exclusive job opportunities and 1-to-1 mentorship.




Testing Automation with Jenkins as Docker Container on Amazon ECS

This article was authored by Supriya Sadhwani a PGP- Cloud Computing alumnus from Great Learning. 

Over the last few years, Continuous Integration and Continuous Development have gained a lot of traction. Automation of Testing during CI/CD, ensures that as soon as developers check in code, automated tests run on it and any defects can be solved proactively by the development team. Jenkins is leading open source automation server which is used most widely by various organizations to automate their software development processes. It provides hundreds of plugins to support building, deploying and automating any project, including a lot of plugins to integrate with AWS. As Jenkins has been around since quite a lot of time and is still being currently used in almost 70% of the organizations using CI/CD automation, this project leverages AWS capabilities to simplify Jenkins configuration and management.

To set up Jenkins, an organization generally has to provision for machines on premises, set up Jenkins on each one of them. A typical Jenkins setup contains the master instance and one or multiple worker agents which run the whole time. In that case, there are either too many agents (adding up the costs) or too few agents (leading to wait times) which get overloaded and sometimes crash. Also, these agents often have (over time) a lot of different tools installed, and are not reliable anymore. In case of any changes in the configuration, then each machine needs to be checked and updated. Alternatively, even if Jenkins is set up on the cloud, then organizations need to set up various EC2 instances with Jenkins deployed on them, configure them and manage them.

Our Capstone Project done as a part of Post Graduate Program in Cloud Computing at Great Learning, aimed to resolve these issues by implementing Automation of testing in the CI/CD pipeline using Jenkins on AWS ECS. As the solution has been built around Jenkins, which is the most widely used automation tool, any organization can easily transition the current Jenkins setup to this one. AWS CloudFormation has been used to provision the entire AWS infrastructure, so an organization can migrate to this solution infrastructure in a matter of few clicks. Amazon Elastic File System (Amazon EFS) has been used to provide parallel shared access to all the Jenkins master instances on the ECS cluster. Amazon’s Simple Storage Service (S3 which is designed for 99.99% availability) is being used to store the test results rather than storing them on-premises or on a drive in any Jenkins instance. Amazon’s Simple Notification Service (SNS) has been used to send email notifications containing test results to the testing teams instantly after a code checkin. Amazon’s business intelligence service, Quicksight has been used for generating analytical dashboards for managers, where they can gain insightful information on the test executions and code quality. Thus, various AWS services have been effectively leveraged as part of this solution.


Our project leverages the powers of containers – as containers are portable and provisioning containers are very fast as compared to virtual machines. Further, it uses Amazon ECS – a highly scalable and high-performance container management service where a cluster of EC2 instances are run as Jenkins Masters in an auto-scalable fashion (Using the Amazon Elastic Container Service plugin of Jenkins). Each Jenkins build is executed on a dedicated slave docker container that is automatically wiped-out at the end of the build. We have configured slave docker containers to use our custom Docker image cloudbees_jnlpslave_with_chromedriver which have been built using the cloudbees/jnlp-slave-with-java-build-tools image which is generally used for ECS Jenkins Slave agents, but with added support for Chrome Browser for Selenium. Since the cloudbees slave image does not have Chrome and ChromeDriver in it, hence we built and used our custom docker image.

Jenkins stores master node configuration in $JENKINS_HOME directory rather than a database Therefore $JENKINS_HOME has been mapped to EFS so it can be accessible by multiple Jenkins servers and need not be repeated across each replicated instance. Also, if the Auto Scaling Group scales out and a new Master comes up, it already will have all the Jenkins configurations, required plugins, job configurations etc. as it uses this EFS drive.

CloudFormation template is being used to build the entire infrastructure – VPC, Public and Private Subnets, NAT and Internet Gateways, ECS Cluster, ECS Service and ECS Tasks, RDS, EFS, EC2 instances, Elastic LoadBalancer, Autoscaling Group and Launch Configuration, IAM roles and Security Groups. It accepts the parameters like:

Stack Name Will be used to name the resources which are created
AZ1 and AZ2 Availability Zones where Jenkins Masters will be created
DB username RDS MySQL DB instance with the given username will be created
DB Password Password of the RDS MySQL DB
KeyPair The .pem file which will be used to SSH into the Jenkins Masters
PublicAccessCIDR The CIDR address which will be given the SSH Port 22 access to Jenkins masters, this can be set as our own IP address to restrict the access of EC2 instances


GitHub repository contains the maven project test automation framework code written in Selenium Java having the test cases for functional testing of the application. Any code changes in GitHub Test Code Repository, triggers the Jenkins Build process, which is handled by the ECS Jenkins cluster. GitHub webhooks in Jenkins are used to trigger the build whenever a developer commits on the repository. (using the GitHub Integration Plugin of Jenkins) Different masters on the Jenkins ECS Cluster can be configured to handle the commits on different branches of the Github Repository. WebHook URL on the GitHub repository is the URL of our Application Load Balancer that sits in front of the ECS Cluster. (Route53 Domain name can be used here). The LoadBalancer then, will direct the build on one of the Jenkins Masters, where a dedicated slave docker will come up and run the build.

As a part of build execution once all the test scenarios are executed, Jenkins will create test report in two formats. Cucumber JSON test results will be stored in a S3 bucket json-report (using the S3 publisher plugin of Jenkins) and html report artefacts(like html, CSS, images etc.) will be stored in the S3 bucket html-cucumber-reports (using the Post Build Task plugin of Jenkins and AWS CLI commands to copy the artefacts to S3). Jenkins will then finally use SNS email notifications to update about the Build Status to the Testing and Development Teams. (using the Amazon SNS Build Notifier plugin of Jenkins). The Email to the Testing Team will contain the Build Result along with the Link of the Cucumber HTML report showing the Passed and Failed Test Results (Generated from the S3 bucket html-cucumber-reports)

A Lambda function has been configured to be triggered on the json-report bucket Put event. Therefore, as soon as build finishes and json file is placed in the bucket json-report, the Lambda function will kick in. It will parse the JSON file and store the required fields from it, in the Multi-AZ RDS MySQL Database. QuickSight Dashboard has been further integrated with this RDS Database, where custom Dashboards have been configured which can be viewed by the Management. These analytical dashboards can be viewed on a Daily or Weekly basis to gain insights on the overall Builds Success/Failure rates and thus the Code quality.

Thus, in our Capstone Project, we have demonstrated Automation of testing in the CI/CD pipeline using Jenkins on AWS ECS and several managed services of AWS. With this robust CI/CD automation architecture, organizations can focus more on their business processes, thus ensuring faster development cycles with greater success rates. 

Weekly AI News Roundup: 17th April

Here is our weekly round-up of essential Artificial Intelligence news from around the globe.

China battles the US in the artificial intelligence arms raceChina seems to have an advantage in the global AI race due to better implementation, while the US seems to be depending on innovation to maintain its hegemony.

Artificial Intelligence Powering Boom in Israel’s Digital Health Sector: Israel’s troves of electronic medical records are being leveraged by digital health startups for early detection of diseases and producing accurate medical diagnoses.

CBSE plans artificial intelligence course in Class IX syllabus: The Central Board of Secondary Education is looking to include Artificial Intelligence as an optional subject for Class 9 students.

Artificial Intelligence to help Indian Navy to deal with different threats:  The Navy’s warships are being used to bolster Air Defence, and AI is being used to increase the accuracy of its offensive capabilities.

On-Device AI – The next wave of Artificial Intelligence: On-device AI signals a great proliferation of AI touchpoints into everyday consumer actions and is poised to drive the next stage of AI growth.

If you’re interested in learning AI to advance your professional career, take a look at our comprehensive AI program.


My transition to Data Analyst was smooth due to Great Learning faculty: Utkarsh Nipane, PGP-DSE alum

Utkarsh Nipane is a PGP-DSE alum and a recent engineering graduate. He talks about why he preferred Great Learning’s program over the others, and how he made the transition to a Data Science career. 

1.What is your work experience?

I am a 2018 pass-out engineering graduate in Information Technology from Mumbai University. I had experience as a Freelancer as a Website developer and Subject Matter Expert. I have worked for NGOs and Educational Institutions with experience of 1 year before joining the Great Learning data science course.

2.Why did you take up the Data Science Program from Great Learning?

In my last year of Engineering, I came across the data science field which led me on a search for institutions offering Data Science programs. I was not in a financial position to invest a huge amount of money so, Great Learning was the most obvious choice. Great Lakes Data Science program stands out the most when it comes to financial investment and duration of the course. As a fresher, I wanted to get a jump-start into the world of analytics and Great Learning’s Data Science and Engineering program was an excellent platform for that.

3.What did you like the most about the program?

When it comes to GL, I liked the flexibility in study standards and actual opinions of the students being considered. It’s a program which is more student-oriented and helped me build the mindset required in this field. The impeccable faculty, management and program office lead to the building of my personality and knowledge pedigree.

4.Did the program curriculum meet your needs?

Program Curriculum was designed with the help of industry experts so, we were directly able to jump into industry applications as a result. Career Support is one of the best you can find, they will stick with you, motivate you, scold you when needed, It was more like a family which took care of every possible problem I had regarding the course.

When it comes to Data Science there are loads of commentators that talk a good game, but Great Learning helps you make it happen. They have enabled me, coached me and given me the confidence to what I believed. My idea was to straight-jump to the data science field rather than taking an indirect route of having some experience in irrelevant fields and gathering the industrial experience in six months rather than spending time at random company for two years. I learned all the things from the diverse crowd in my classroom program, it is the best as long as you believe in it

5.How did this program help you make the transition to Data Science?

The transition to my fresher life into the designation of Data Analyst was quite smooth thanks to the experienced faculty of Great Learning who shared their life experiences to the students. In Bewakoof Brands, I mostly analyze data, whether it’s sales figures, market research, logistics, or transportation costs. It is my job to take that data and use it to help my company make better business decisions.

6.What is your advice to aspirants who want to take up this program?

While the data science field may seem attractive but you can’t jump into it without any dedication. It’s a quite unique field where learning never stops. So, prepare yourself well before making the decision. I would definitely recommend this course to anyone who is interested and dedicated, but you have to be thorough with all the concepts.

The program covered all topics asked in interviews: Pugazhendhi, PGP-DSE Alum

Even modest support can accomplish a big dream. Pugazhendi, our PGP-DSE alumnus’ story starts with his parents supporting him to pursue data science. Read on to know more about his data science journey with Great Learning.

Why did you choose the PGP-DSE program by Great Learning?

I did my engineering in physics and nanotechnology. In my final year project, I had to work on data. It took me a lot of time to get the data, clean it, and work on it. At that time I had no clue about data engineering, but my seniors told me that there is something called data science and asked me to look into it. That is how I came to know about data science and I developed an interest in it. I was planning for higher studies but I felt that there are unexplored opportunities in the field of data science, so I took up the PGP-DSE program.

When I told my family that I wanted to take up this program, they had no idea about it. They knew about the IT courses like Java, so I explained to them the field and opportunities in it and they supported me after that to pursue the course.

Did you consider any other program before enrolling?

I had considered Imarticus but I felt that the program lacked credibility in what they were promising and it is more expensive as compared to Great Learning’s program.

Did the program curriculum prepare you for interviews?

I feel that the program had covered almost all the topics that were asked during the interviews. I knew about the things that were asked. I worked on a lot of different projects during the program. The mini project which I had worked on helped me a lot in the Mahindra and Mahindra Hackathon.

What did you like the most in the program?

The peer group is really good, we used to sit and discuss things. As we had people from different backgrounds, it helped us to exchange what we knew and learn together.

Faculty were too good and they made it very simple for us to understand the concepts.

Did the placement support help you prepare for the interviews?

We had many companies coming in and we were groomed well before the placement process began. The mock interviews and CV reviews gave me an idea of what I was good at.

How was the Interview process?

There was a hackathon in Mahindra and Mahindra, which I had won. After that, there was a code review followed by multiple telephonic interviews. The course made it easy for us to explain the concepts and algorithms better. That is what impressed the interviewers and they offered the role. I have already started working on some interesting projects here.