Application of Data Science for Data Scientists | AIML TM
Mastering Real-World Data Science Applications and Techniques for Advanced Problem Solving
Updated on Nov, 2026
Language - English
AI Assistant
Lectures -25
Duration -13 hours
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Course Description
Because it is so big, this course exposes aspirant and practicing data scientists to high-level skills and their applications in practice. Following this streamlined approach, participants will master how to deal with the data, building models for prediction, and deploying the solution to a real case.
1. Introduction to Data Science
Data Science Concepts and Key Components: Data, Algorithms, Interpretation.
Importance and applicability across industries .
Tools: Introduction to Python, R.
2. Data Science Session Part 2
Algorithms and what they do
Application of EDA techniques and realizing to make simple models
3. Data Science vs Traditional Analysis
Statistics as they were before and Data Science as it is today
Examples how Data Science can outdo old-fashioned ways in a few respects
4. Data Scientist Part 1
What is a Data Scientist and how we work?
Key techniques: Machine learning, data mining
Little introduction to creating simple models.
5. Data Scientist Part 2
Data Science techniques and tools
Big Data, cloud computing and predictive modeling.
6. Overview of Data Science Process
Detailed description of the Data Science process from problem definition to data collection.
Real best practice examples from industry.
7. Overview of Data Science Process Part 2
Learn how to build models, evaluate them and get them live in production.
8. Data Science in Action - Case Study
Real-world Application Case Study: Inclusive Workflow - Data Collection to Model Interpretation in Data Science.
9. Data Science at Work: Data Quality & Model Interpretability
Dealing with Missing Data & Downsampling the Data
Tune your Model to be Interpretive & Invariant
10. Introduction to Data Science Ethics
Data Science Ethical Issues
Frameworks that might be helpful in responsible decisions for Data-Driven Projects
11. Ethical Issues during Data Collection and Curation
How to Avoid Violations of Privacy, Ownership, and Bias in Datasets.
12. Data Science Project Life Cycle
Project planning for the whole life cycle, execution and reporting
13. Feature Engineering and Selection
Feature selection algorithms and techniques for dimensionality reduction impacting on the performance of the model
14. Application - Working with Data Science
Applications of Data Science solutions; fraud detection and recommendation systems
15. Application - Working with Data Science: Data Wrangling
Handling data wrangling and mass manipulation of large datasets with hands-on approaches in Pandas, NumPy, and Dask. The students at the end of the course will be very well equipped with the best tools, techniques, and expertise to become very effective data scientists who can contribute fruitfully to projects cut across multiple industries.
Goals
Core concepts in data science: deep foundational understanding of principles behind data science: analysis, algorithms and interpretation.
Important data science tools and techniques: mastering work with very top tools and software, Python and R, SQL, and a set of libraries like Pandas, NumPy and Seaborn.
Acquire hands-on practice in data science: Hands-on practice on the derivation in data preprocessing, feature engineering and model building with real datasets.
Apply Advanced Machine Learning Methods: Methods of supervised and unsupervised learning which include regression, classification, clustering, and dimensionality reduction.
Address Ethical and Practical Challenges: Know the importance of quality of data and interpretability of the model and good practices on ethical issues involving gathering and curating data.
Data Science Programme: Manage Full Data Science Projects: Learning to manage the whole Data Science project lifecycle from the problem definition to deployment, as well as post-deployment monitoring.
Real-world applications of data science will be explained through case studies and hands-on practice with real-world applications within the realms of finance, healthcare, and other areas.
A Career Guide to a Data Scientist Know what you know not to become an effective practicing data scientist using large datasets to solve complex business problems.
Prerequisites
Anyone can learn this class it is very simple.
Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.
Curriculum
Check out the detailed breakdown of what’s inside the course
Data Science Session 1
1 Lectures
-
Data Science Session 1 29:03 29:03
Data Science Session 2
1 Lectures
Data Science Vs Traditional Analysis
1 Lectures
Data Scientist
1 Lectures
Data Scientist Part2
1 Lectures
Data Science Process Overview
1 Lectures
Data Science Process Overview Part2
1 Lectures
Introduction to Python for Data Science
1 Lectures
Python Libraries for Data Science
1 Lectures
Introduction to R for Data Science
1 Lectures
R Programmig Basics
1 Lectures
Introduction to Python Programming
1 Lectures
Introduction to Python Programming Part2
1 Lectures
Data Preprocessing
1 Lectures
Data Preprocessing Part2
1 Lectures
Introduction to Exploratory Data Analysis EDA
1 Lectures
EDA- Detecting Outliers and Anomalies in Data
1 Lectures
Data Science in Practice- Case Study
1 Lectures
Data Science in Practice- Case Study Data Quality & Model Interpretability
1 Lectures
Introduction to Data Science Ethics
1 Lectures
Ethical Challenges in Data Collection and Curation
1 Lectures
Data Science Project Lifecycle
1 Lectures
Feature Engineering and Selection
1 Lectures
Application Working with Data Science
1 Lectures
Application Working with Data Science - Data Manipulation Part 2
1 Lectures
Instructor Details
Dr. Noble Arya
Warm greetings and a heartfelt welcome!
I am Dr. Noble Arya, a Full-Stack Data Scientist, AI/ML/DL Researcher, Product Innovator, and lifelong learner. My professional journey has given me the opportunity to work with leading global organisations, including General Electric (GE) and Wipro Technologies, where I gained valuable experience in technology, innovation, and solving real-world challenges.
As the founder of NobleX Infinity Labs™, I have had the privilege of mentoring and inspiring more than 100,000 learners and 500 educators across 170 countries. Our educational programs have received an average rating of 4.9 out of 5 stars, reflecting the trust, encouragement, and feedback of over 100,000 learners.
My academic journey reflects my belief that learning should never stop. He has been awarded a Doctorate in Artificial Intelligence and Machine Learning, has pursued postgraduate medical education in Telemedicine through Harvard Medical School, and completed the Post Graduate Program in Artificial Intelligence and Machine Learning, offered through The University of Texas at Austin and Great Learning.
With more than 17+ years of experience in Artificial Intelligence, Machine Learning, Data Science, Deep Learning, and Value Innovation, I have come to believe that the true purpose of technology is not simply to make machines more intelligent, but to help human beings become more conscious, creative, compassionate, and capable.
Throughout my journey, I have been fortunate to receive more than 300+ national and international awards and recognitions for contributions to future skills, creativity, technological innovation, and ethical AI. While these recognitions are meaningful, what matters most to me is the opportunity to make a positive difference in someone's life through education.
My interests extend beyond technology. I am deeply passionate about Computer Science, Artificial Intelligence, Design Thinking, Pure Consciousness, Human Potential, and Value Innovation. I believe that meaningful progress happens when scientific understanding, human creativity, and deeper awareness come together.
Over the years, my learning and professional journey have brought me into contact with institutions and organisations such as Teach For India, Harvard Medical School, the University of Texas at Austin, and Toastmasters International. Each experience has contributed to my understanding of education, leadership, innovation, and the importance of human values.
As an entrepreneur, I have also experienced the challenges and rewards of building two startups from modest beginnings into nationally and internationally recognised ventures. These experiences taught me that innovation is not only about having great ideas. It is about persistence, experimentation, learning from failure, and creating genuine value for people.
My work and interests span several interconnected fields:
Artificial Intelligence, Machine Learning, and Deep Learning
Data Science, Computer Science, and Real-World Problem-Solving
Design Thinking, Product Development, and Value Innovation
Digital Transformation and Future Skills
Project Management, Entrepreneurship, and Leadership
Pure Consciousness, Human Awareness, and Value-Based Technology
Having worked on more than 100 projects over the past 15 years, I have learned one important lesson: knowledge becomes truly valuable when we use it to solve real problems and improve lives.
This belief continues to shape my mission.
Through my Udemy courses, YouTube channel, research initiatives, and educational programs, I want to make high-quality learning more accessible, practical, affordable, and meaningful for people from all walks of life.
My vision is ambitious, but it comes from a simple conviction: every human being deserves the opportunity to learn, grow, innovate, and realise their potential.
Over the coming decade, I aspire to contribute to the empowerment of 7 billion people worldwide, through both online and offline education, by helping them develop real-world problem-solving skills, technological understanding, creativity, and ethical awareness.
I envision a future in which Artificial Intelligence does more than automate tasks or improve productivity. I hope it becomes a powerful instrument for expanding human capabilities, nurturing consciousness, encouraging compassion, and creating a more inclusive and sustainable world.
Technology should serve humanity, and humanity should grow in wisdom alongside technology.
To me, education is not simply about acquiring certificates, mastering algorithms, or advancing careers. It is about discovering our potential, questioning our assumptions, understanding the world more deeply, and using our knowledge responsibly.
Whether you are a student, educator, researcher, entrepreneur, working professional, or simply someone curious about the future, I warmly invite you to be part of this lifelong learning journey.
Connect with me through Udemy and YouTube. Let us explore ideas, challenge conventional thinking, develop practical skills, and build a future where intelligence, innovation, consciousness, and compassion work together for the benefit of humanity.
I remain deeply grateful to the Creator, to every teacher and learner who has shaped my journey, and to the extraordinary universe of which we are all a part.
From the smallest atom to the infinite universe, may our pursuit of knowledge always be guided by wisdom, humility, gratitude, and love.
Thank you for being part of this journey.
With heartfelt gratitude and sincere regards,
Dr. Noble Arya
Founder, NobleX Infinity Labs™
Full-Stack Data Scientist | AI/ML/DL Researcher | Product Innovator
Educator | Entrepreneur | Lifelong Learner
Learning Beyond Boundaries. Innovating with Consciousness. Empowering Humanity.
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