Coursera

Here I would provide some information and list of my completed and current working courses on Coursera platform. I will classify it by topic and will give misc to general knowledge courses that I took to expand my knowledge. links we take you to my certificate or course page if not completed

Last Updated: 27 May 2020

On going

Completed

Physics and Mathematics

Understanding Einstein: The Special Theory of Relativity
Introduction to Ordinary Differential Equations
Fundamentals of particle accelerator technology
Medical Applications of Particle Accelerators
Intro to Acoustics (Part 1)
Introduction to Acoustics (Part 2)
Game Theory
Archaeoastronomy
Journey of the Universe: The Unfolding of Life
AstroTech: The Science and Technology behind Astronomical Discovery
Introduction to Thermodynamics: Transferring Energy from Here to There
From the Big Bang to Dark Energy
The Finite Element Method for Problems in Physics
Origins – Formation of the Universe, Solar System, Earth and Life
Quantum Optics 1 : Single Photons
Quantum Optics 2 – Two photons and more
Particle Physics: an Introduction
Statistical Molecular Thermodynamics
Fundamentals of Fluid Power
Matrix Factorization and Advanced Techniques
Renewable Energy and Green Building Entrepreneurship
Introduction into General Theory of Relativity
Addressing Large Hadron Collider Challenges by Machine Learning
Materials Science: 10 Things Every Engineer Should Know
Welcome to Game Theory
Big History: Connecting Knowledge
Astro 101: Black Holes
Nuclear Reactor Physics Basics
Game Theory II: Advanced Application
Fibonacci Numbers and the Golden Ratio
Material Behavior
Differential Equations for Engineers
Material Processing
Astrobiology and the Search for Extraterrestrial Life
Introduction to Molecular Spectroscopy
Matrix Methods
Electrodynamics: In-depth Solutions for Maxwell’s Equations
Factorial and Fractional Factorial Designs

Data science

Python for Everybody (Specialization)
Deep Learning (Specialization)
Data Science: Foundations using R (Specialization)
TensorFlow in Practice (Specialization)
AI for Medicine (Specialization)
Machine Learning (Specialization)
Mathematics for Machine Learning (Specialization)
Introduction to Data Science (Specialization)
Applied Data Science (Specialization)
TensorFlow: Data and Deployment (Specialization)
Getting Started with AWS Machine Learning
Applied AI with DeepLearning
Introduction to Deep Learning & Neural Networks with Keras
Deep Neural Networks with PyTorch
Introduction to Applied Machine Learning
Fundamentals of Scalable Data Science
Big Data Integration and Processing
Device-based Models with TensorFlow Lite
Machine Learning with Python
Convolutional Neural Networks in TensorFlow
Launching into Machine Learning
How Google does Machine Learning
Sequences, Time Series and Prediction
Natural Language Processing in TensorFlow
Introduction to Deep Learning
Capstone: Retrieving, Processing, and Visualizing Data with Python
Programming for Everybody (Getting Started with Python)
Python Data Structures
Sequence Models
Convolutional Neural Networks
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Neural Networks and Deep Learning
Structuring Machine Learning Projects
Project: Multiple Linear Regression with scikit-learn
Project: Predicting House Prices with Regression using TensorFlow
Machine Learning With Big Data
AI Workflow: Enterprise Model Deployment
AI Workflow: Data Analysis and Hypothesis Testing
Mathematics for Machine Learning: Multivariate Calculus
Applied Machine Learning in Python
Mathematics for Machine Learning: Linear Algebra
Machine Learning: Regression
Machine Learning: Clustering & Retrieval
Machine Learning: Classification
Machine Learning Foundations: A Case Study Approach
Data Science Math Skills
Neural Networks for Machine Learning
Bayesian Statistics: From Concept to Data Analysis
Mathematics for Machine Learning: PCA
The Data Scientist’s Toolbox
Bayesian Methods for Machine Learning
Introduction to Recommender Systems: Non-Personalized and Content-Based
Using Databases with Python
Getting and Cleaning Data
AI For Everyone
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Using Python to Access Web Data
R Programming
Recommender Systems: Evaluation and Metrics
Nearest Neighbor Collaborative Filtering
Deep Learning for Business
Regression Models
Practical Machine Learning
Introduction to Data Science in Python
Fundamentals of Machine Learning in Finance
Practical Reinforcement Learning
Guided Tour of Machine Learning in Finance
Browser-based Models with TensorFlow.js
Data Science in Real Life
Big Data Integration and Processing
AI Workflow: Enterprise Model Deployment

Technology and Computer science

Algorithms on Strings
Algorithms on Graphs
Genome Assembly Programming Challenge
The Unix Workbench
G Suite Security
G Suite Mail Management
Algorithmic Toolbox
Cyber Threat Intelligence
Blockchain for the decision maker
Computer Vision Basics
Cybersecurity for Identity Protection
Digital Signal Processing
Blockchain 360: A State of the Art for Professionals
Cryptography I
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
Introduction to Self-Driving Cars
State Estimation and Localization for Self-Driving Cars
Algorithmic Toolbox
Machine Learning With Big Data
Motion Planning for Self-Driving Cars
Visual Perception for Self-Driving Cars

Misc

Epidemiology in Public Health Practice (Specialization)
COVID-19: What You Need to Know (CME Eligible)
Privacy in the Western World
International Cyber Conflicts
Moral Foundations of Politics
Introduction to Philosophy
Science & Religion 101
An Introduction to Consumer Neuroscience & Neuromarketing
Learning How to Learn: Powerful mental tools to help you master tough subjects
Fundamental Neuroscience for Neuroimaging
Feminism and Social Justice
Psychological First Aid
Philosophy, Science and Religion: Science and Philosophy
Mountains 101
Computational Neuroscience
Schizophrenia
Meditation: A way to achieve your goals in your life
Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential
International Travel Preparation, Safety, & Wellness
Digital Footprint
Learning How To Learn for Youth
An Introduction to American Law
Introduction to International Criminal Law
Introduction to Personal Branding
Emotions: a Philosophical Introduction
Introduction to Reproduction
Psychology of Popularity
Intellectual Humility: Science
Introduction to Ancient Egypt and Its Civilization
Politics and Economics of International Energy
Philosophy and the Sciences: Introduction to the Philosophy of Physical Sciences
The Effect of Fires on People, Property and the Environment

1 thought on “Coursera

  1. Abhi Patel

    intro to acoustics (part 1) Coursera quiz solution
    Quiz 4 Question 6 Please Give me an answer to this Question only one question I can’t solve,
    Let us assume that a wave propagates in the direction perpendicular to the flat surface of discontinuity. When the characteristic impedance of the medium of medium 0 (where the incident and reflected wave exists) is much larger than medium 1 (where the transmitted wave exists.), how do the pressure and intensity reflection and transmission coefficient behave? Choose all true statements.
    Thank You,

    Reply

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