The Postgraduate program in Data Science & Machine Learning is a 500-Hour Program is designed to develop applied knowledge in statistical modeling, data-driven decision-making, and algorithmic learning. This program begins with foundational concepts in Python, data structures, and statistics, then progresses into machine learning techniques, model evaluation, and practical use cases. Learners engage with hands-on projects and datasets throughout, gaining experience in supervised and unsupervised learning, regression analysis, classification methods, and data interpretation. The curriculum is organized to ensure a practical understanding of how models are developed, validated, and used in modern business and research environments.
Data science and machine learning professionals are increasingly in demand for roles focused on predictive modeling and data-driven decision-making, with common positions including Data Scientist, ML Engineer, Data Analyst, Predictive Modeler, and Business Intelligence Specialist. In India, salaries typically range from ₹12–35 LPA depending on specialization and industry, while in the United States compensation generally falls between $115,000 and $175,000 USD, with senior professionals earning even more. Demand is also growing rapidly across Europe, Southeast Asia, and the Middle East as organizations continue adopting data-centric technologies and strategies. These professionals play a key role in forecasting, automation, pattern recognition, and building robust data infrastructure to support business and operational goals.
The program begins with foundational instruction in Python, statistics, and data handling, then moves into progressively advanced machine learning methods, ensuring learners build knowledge in a logical sequence.
Learners gain experience designing end-to-end workflows that include data preparation, model training, validation, performance measurement, and deployment practices relevant to real business scenarios.
Participants work with widely adopted libraries and platforms such as Scikit-learn for algorithm development, Pandas for data manipulation, and Matplotlib for visualization, ensuring familiarity with tools commonly used in professional environments.
The curriculum emphasizes responsible use of data, bias mitigation, and transparency in modeling, introducing frameworks and practices that promote explainable AI and fair decision-making.
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The PG Diploma in Data Science & Machine Learning provides hands-on training in data analysis, predictive modeling, machine learning algorithms, artificial intelligence, and real-world data-driven applications using industry-relevant tools and the latest analytical techniques.
Access to the Latest Tools
21+ Global Partner
Personalized Career Support
Learn from Certified Consultants
Engaging and Learner-Centric Sessions
70% practical oriented
The PGP in Data Science & Machine Learning provided me with strong practical exposure to real-world data science tools and machine learning technologies. The hands-on projects and expert mentorship helped me build confidence in developing intelligent data-driven solutions, and I secured a promising role shortly after completing the program.
This program greatly enhanced my skills in data analytics, machine learning, and predictive modeling. The industry-focused training and real-time project experience prepared me to confidently work on practical AI and data science applications in a professional environment.
The PGP in Data Science & Machine Learning gave me in-depth hands-on experience with modern data science tools, AI frameworks, and analytics techniques. With continuous support from industry experts and exposure to live projects, I developed the skills needed to transition successfully into the data science field.
Thanks to our global certification you can now unlock careers with government agencies and Fortune 500 leaders around the world.
Develop proficiency in Python programming, data structures, and libraries such as Pandas and NumPy for cleaning, transforming, and preparing datasets.
Gain an understanding of descriptive statistics, probability, sampling methods, and hypothesis testing to support data-driven analysis.
Learn to implement and evaluate models including linear regression, logistic regression, decision trees, support vector machines, k-means clustering, and ensemble methods.
Practice cross-validation, hyperparameter optimization, and performance measurement to improve model reliability and accuracy.
1. Basic Python
2. Core Python
3. Python For Datascience
4. Linear Algebra
5. Probability
6. Concepts Of Database Dbms And Rdbms
7. Calculus
8. Data Preprocessing Visualization
9. ML Model Building
10. Deep Learning Intro
11. Keras/TensorFlow, PyTorch
12. Computer Vision
13. Natural Language Processing
14. Time Series Analysis
15. Excel And Power BI
16. Tableau
17. Big Data
18. Basics Of Cloud
19. Git
20. Docker
Aspiring Data Scientists
Individuals aiming to build a structured foundation in data analysis, modeling, and machine learning techniques.
Software Developers and Engineers
Professionals seeking to integrate predictive modeling and data processing capabilities into their development work.
Data Analysts and BI Specialists
Those interested in moving beyond reporting to develop skills in machine learning and advanced analytics.
Career Transition Candidates
Learners from other fields who wish to enter data-focused roles with a clear understanding of applied workflows.
Students and Recent Graduates
Individuals preparing for entry-level positions in data science, analytics, or related disciplines.
The PGP in Data Science & Machine Learning is designed for students, graduates, and working professionals who want to build a successful career in Data Science, Artificial Intelligence, and Machine Learning. It is ideal for individuals interested in Data Analytics, Predictive Modeling, Machine Learning, Deep Learning, Business Intelligence, and AI-driven decision-making. The program is also suitable for IT professionals, software developers, business analysts, and non-technical learners who want to transition into the data science industry by gaining practical, job-ready skills through hands-on projects and real-world applications.
Turn classrooms into command centers for cyber innovation.
to Predict and Prevent. threats with human instinct and AI precision.
Train elite cyber warriors for tomorrow’s digital warfare.
to Dominate the AI-driven cyber arena.
Technovalley Advanced Knowledge Services - A Centre of Excellence in Talent Engineering and Global IT Consulting
Technovalley Advanced Knowledge Services, based in Kochi, Kerala, stands tall as one of India’s most trusted names in global-standard upskilling, reskilling, and IT consulting. Recognized as a Centre of Excellence for emerging technologies, Technovalley delivers an expansive suite of over 140+ high-impact programs across Cybersecurity, Artificial Intelligence, Cloud Computing, Software Engineering, Data Science, and Digital Forensics, with operations extending across India, the Middle East, and Africa.
Backed by strategic alliances with over 21 global IT giants, Technovalley brings world-class certification programs to learners through direct partnerships with industry leaders. As a certified and strategic partner of EC-Council, CompTIA, OffSec, LPI, and more, Technovalley ensures that every learner receives the best the world has to offer—right here in India.
Technovalley is also an active partner of NASSCOM and the NASSCOM FutureSkills Prime initiative, collaborating to build a future-ready workforce aligned with India's national skilling priorities. In the state of Kerala, Technovalley has established brilliant partnerships with K-DISC’s KKEM mission and Kerala Startup Mission (KSUM), playing a key role in capacity building, startup enablement, and digital transformation.
As a global-standard IT consulting company, Technovalley also works closely with governments, academic institutions, and enterprises to deliver consulting, talent pipelines, digital strategies, and workforce transformation projects that drive meaningful change.
Join Technovalley. Build with a legacy. Rise with integrity. Deliver with confidence.
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