Diploma in Data Science

All the topics mentioned in the Data Analytics course. 

Study of artificial neurons, architectures like MLP, backpropagation, and activation functions to build predictive models. 

Advanced neural networks like CNN, transfer learning, and regularization techniques for image, speech, and pattern recognition. 

Image classification, object detection (YOLO, R-CNN).

Video tracking using models like CNN, OpenCV, and YOLO for real-time applications. 

Text preprocessing, tokenization, embeddings, and advanced models (LSTM, Transformers) for text generation and summarization. 

• Data Scientist 
• Machine Learning Engineer 
• Data Engineer 
• Statistical Analyst 
• Quantitative Analyst (Quant) 
• Data Architect
• Analytics Manager  

• Business Intelligence Developer 
• Data Mining Specialist 
• Research Scientist
• VP of Data Science
• Chief Data Officer
• Director of Data Science

• Data Analytics might focus on analyzing sales data to improve strategies, while Data Science would leverage machine learning to predict future sales trends or customer behavior. 
• In Data Science, we take things a step further by building models that can make predictions, automate tasks, and analyze more complex forms of data like images, videos, and text. It combines advanced techniques, such as deep learning, to help you solve more sophisticated problems and create more impactful solutions. 

Fees vary by course level, and we offer flexible EMI options starting at ₹5,000/month.

Yes, you’ll need a laptop with at least 4GB RAM. Required software and tools will be provided or guided by the academy.

Absolutely! Data science skills are in high demand. Our course equips you with practical training and placement support to help you confidently restart your career.

No prior coding knowledge is required! We start with the basics and teach tools like Python, SQL, and machine learning in an easy-to-understand way.