Professional Certificate Course in Data Science

The expert-led courses, real-world projects, and placement assistance...

I have been working as a Research Analyst for 2 years but I knew that to truly excel in the tech industry, I needed to have a strong background in data science. I decided to take the plunge and enroll in Newton School's Data Science program. And I am so glad I did! The expert-led courses, real-world projects, and placement assistance have been invaluable in helping me gain the skills and knowledge I need to excel in the tech industry.

I wasn't sure if I could work and study at the same time...

I have been working as an Instrumentation & Automation Engineer for a while now and, I felt like I had hit a plateau in terms of growth and development. I wasn't sure if I could work and study at the same time, but my college friends motivated me to pursue a career in Data Science. They were alumni of Newton School and highly recommended the program to me. Newton School's was flexible and well-structured, allowing me to continue working while I study.

These soft skills sessions helped me greatly and improved my communication skills...

The course did not settle with just the code based curriculum but had added benefits like soft skills training and mock interviews. These soft skills sessions helped me greatly and improved my communication skills which were surely reflected in the actual interviews. We were also given opportunities to compete in weekly competitions that checked our competence and helped in honing our skills.

After a break, I found my momentum again.

After my career gap, restarting felt overwhelming. I wasn’t sure how to position myself or rebuild confidence. The structured learning and hands-on projects helped me regain clarity and momentum. The mentorship and interview preparation made a huge difference. Today, working as a Data Analyst at Homelane feels like a fresh start I truly earned.

As a fresher, I finally found direction.

As a fresher, breaking into data felt intimidating. I didn’t just need concepts I needed direction. The structured curriculum and real-world projects helped me understand how data roles actually work in the industry. Landing my first role as a Data Analyst has given me the confidence that I chose the right path.

I upskilled with focus and unlocked growth.

I wanted more growth in my career but didn’t know how to bridge the gap between where I was and where I wanted to be. The program helped me sharpen my analytical thinking and build practical exposure. The focused upskilling translated directly into better interview performance and a 40%+ hike. It was a strategic career move for me.

My comeback became my biggest growth phase.

Returning to work after a career break was one of the toughest decisions I’ve made. I had doubts about whether I could compete again. The structured support and consistent guidance helped me rebuild confidence step by step. Securing a 50% hike and restarting my career feels incredibly empowering.

I transitioned confidently into a stronger role.

I wanted to transition into a role with stronger analytical exposure. The learning pathway was clear and industry-focused, which helped me prepare strategically. The mentorship and interview prep sessions gave me the clarity I needed to make the switch confidently.

I transitioned into tech with structured support.

Coming from a non-tech background, I wasn’t sure if I could move into data roles. The step-by-step learning structure made the transition manageable. The projects helped me think like an analyst. Today, working as an MIS Executive feels like proof that career pivots are possible with the right guidance.

I challenged myself and unlocked bigger opportunities.

I wanted real growth, not just a title change. The hands-on exposure and structured preparation sharpened my technical and problem-solving skills. The result was not just a role at IBM, but a 91% salary hike. That kind of transformation comes from focused effort and the right ecosystem.

I focused on growth and built stronger domain expertise.

I wanted to deepen my expertise and move into a more specialized data role. The curriculum helped me strengthen core concepts and apply them practically. This transition has given me clarity about my long-term career direction.