I did my Bachelor’s in mechanical engineering. I was a production associate and have almost four years of experience actively punching in production orders in SAP, doing the analysis for rejection, manpower calculation, and data visualization.
While developing any sort of report or deliverable, I was using only excel and PowerPoint. Whenever I used to see competitors’ reports, they were comprehensive in terms of insights and presentation, which I was lacking, so to overcome this and explore new tools. I decided to go for upskilling myself with data science.
I wanted to work for something where I didn’t have to push myself but to do it out of my passion and will. Having said that, the transition that I was looking for was finally met in the Data Science and Business Analytics Program. It has opened a wide horizon for me to take my passion into my career.
Mentoring sessions provided by great learning were really important. During weekends they have mentored about a particular project and cleared all the doubts in a really well-mannered way.
These sessions were really amazing and interesting. They organized the sessions in a very systematic manner.
The quality of mentored learning sessions was excellent because the assigned mentors were Industry Experts. They know all things we need to study and guide us on how to face the challenges coming from Industry.
Mentors become trusted advisers and role models – people who have “been there” and “done that.” They support and encourage me by offering suggestions and knowledge, both general and specific. The goal is to help me improve my skills and, hopefully, advance my career.
My mentor supported me throughout my program. If I need any suggestions and guidance, they always give me time and provide valuable information to me.
From these newly learned skill sets, I now feel that finally, the decision was made a year ago, and all the hard work has finally paid off. I can really see the difference between what I was doing a year ago and where. So, I can definitely say that these skills gave me wings.
Learning data science can be intimidating. Especially so when you are just starting your journey. Which tool to learn – R or Python? What techniques to focus on? How many statistics to learn? Do I need to learn to code? These are some of the many questions you need to answer as part of your journey. People have to follow a few steps-
- Take up a course and complete it
- Choose a tool/language and stick to it
- Join a peer group
- Focus on the practical application, not just on theory
- Follow the right resources
- Work on communication skills
- Network connection
- Basic database knowledge and SQL are a must
- Follow the mentoring sessions
- Update the resume.
Source: GreatLearning Blog
