Application of Data Science for Data Scientists | AIML TM
Mastering Real-World Data Science Applications and Techniques for Advanced Problem Solving
Updated on Jun, 2025
Language - English
IT and Software ,Other IT and Software,Python
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.
I am Dr. Noble Arya, a Full-Stack Data Scientist, AI/ML Researcher, and Product Innovator with extensive experience across leading global organizations, including General Electric (GE) and Wipro Technologies.
As the founder of NobleX Infinity Labs®️, a globally recognized platform with prestigious TM® certification, I have had the privilege of mentoring over 100,000 students and 500+ educators across 170 countries. Our educational programs consistently maintain an average course rating of 4.7 out of 5 stars, as rated by more than 100,000 learners.
Academically, I hold a Honorary Doctorate in Artificial Intelligence and Machine Learning, and I am a certified graduate of the Post Graduate Program in Artificial Intelligence and Machine Learning from The University of Texas at Austin, in collaboration with Great Learning. My journey also includes 15+ years of dedicated research and application in AI/ML, Data Science, Deep Learning, and Value Innovation, with a strong grounding in the principles of Pure Consciousness.
I have been honored with over 300 national and international awards in recognition of my contributions to Future Skills, Creativity, Technological Innovation, and Ethical AI. My areas of expertise include Computer Science, Artificial Intelligence, Design Thinking, Super Pure Consciousness, and Value Innovation—acquired through both formal training and self-directed study.
Over the years, I have collaborated with prestigious institutions and organizations such as the Himalayan Institute of Alternatives (Ladakh), Teach for India, Harvard Medical School, University of Texas at Austin, and Toastmasters International. As an entrepreneur, I have successfully scaled two startups from grassroots family initiatives to nationally and internationally recognized enterprises.
My skillset encompasses a broad spectrum, including:-
Real-World Digital and Future Skills
Pure Consciousness and Value Technology
Project Management and Entrepreneurship
Artificial Intelligence and Computer Science
Data Science, Machine Learning, Deep Learning, Design Thinking and Product Development
Having completed over 100 projects in the past decade and a half, I am now committed to democratizing access to transformative education. Through my Udemy courses and YouTube channel, I aim to positively impact millions of learners. My vision for the coming decade is to empower 7 billion people worldwide, both online and offline, with real-life, problem-solving capabilities and ethical applications of AI—grounded in consciousness and compassion.
I invite you to join me on this transformative journey. Follow my work on Udemy and YouTube, and let us build a future where knowledge, technology, and human values uplift all 7+ billion people across the globe.
With deep gratitude to the Creator and to every atom and molecule across all universes, from the beginning to infinity.
With sincere regards,
Dr. Noble Arya
Full-Stack Data Scientist | AI/ML Researcher | Product Innovator
With gratitude till infinity,
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