ADVANCED DIPLOMA IN DATA SCIENCE

Program Overview

The Advanced Diploma in Data Science offered in collaboration with UPES University is an industry-oriented, advanced-level data science program designed to prepare students for high-growth careers in data analytics, machine learning, artificial intelligence, and business intelligence. Recognized as one of the best advanced data science diploma courses in Kerala, this program focuses on practical skill development, real-world project exposure, and industry-recognized certifications.

With in-depth training in Python, SQL, machine learning, deep learning, data visualization, NLP, and Power BI, this advanced diploma equips learners with the technical expertise and analytical skills required by IT companies, analytics firms, startups, and MNCs.

Course Overview

The Advanced Diploma in Data Science (UPES) combines strong theoretical foundations with extensive hands-on training. Students work on live projects, gain internship and experience certification, and learn how to analyze large datasets, build predictive models, and generate actionable insights for business decision-making.

This program is ideal for students and professionals looking to advance their data science skills and become job-ready data professionals.

Additional Certifications & Professional Trainings

Main Certifications

UPES PROFESSIONAL PROGRAM
FICS UK - INTERNATIONAL DIPLOMA

Students enrolled in this program receive valuable industry focused certifications and practical exposure, including:

1. SECP – Level 1 Certificate

2. SECP – Level 2 Certificate

3. MS Office with AI

4. 1-Month Internship

5. 2-Month Experience Certificate

6. Live Project

7. Spoken English Training

These value-added components make this program one of the most job-oriented advanced data science diploma courses in Kerala.

Syllabus Overview 

1. Python

   • Advanced programming concepts, data handling, and scripting for data analysis

2. SQL

   • Database management, data querying, and data extraction techniques

3. Pandas and Data Visualization

   • Data cleaning, manipulation, and visualization using industry tools

4. Statistics & Maths

   • Statistical methods, probability, and mathematical foundations for analytics

5. Machine Learning & Deep Learning

   • Supervised and unsupervised learning, predictive modeling, and neural networks

6. NLP and Power BI

   • Natural Language Processing techniques and business intelligence reporting using Power BI