Sampling Theory Courses and Certifications

Learn Digital Signal Processing - From Basics To Advance

257 ratings at Udemy

Complete Course for 2021 - Digital Signal Processing, DSP, Signal Processing, DFT, FFT, Digital Filters

• Udemy
• 1 day 10 minutes
• On-Demand
• Paid Course

CFA Institute

Data and Statistics Foundation for Investment Professionals

Learn essential data analysis and statistical techniques for investment professionals, including basic measures, distributions, visualization with Python, sampling theory, and hypothesis formulation for investment problems.

• Coursera
• 7 weeks
• On-Demand
• Free Online Course (Audit)

Statistics for the Behavioral Sciences

Explore statistical principles for behavioral sciences, covering measurement, analysis, probability, and hypothesis testing. Gain hands-on experience with descriptive and inferential statistics.

• California Community Colleges System
• 16 weeks, 4 hours a week
• 27th Jan, 2025
• Paid Course

Introductory Statistics

Master fundamental statistical concepts, from data description and probability to sampling methods and hypothesis testing, while developing practical problem-solving skills for real-world applications.

• California Community Colleges System
• 18 weeks
• 13th Jan, 2025
• Paid Course

NPTEL;  IIT Kharagpur

Urban Landuse and Transportation Planning - Prof. Debpratim Pandit

This course provides the basic concepts and skill sets to undertake urban landuse and transportation planning and to analyze the impact of various policies either related to infrastructure development, environmental regulation and urban expansion.

• YouTube
• 1 day 14 hours
• On-Demand
• Free Video

STAT 506: Sampling Theory and Methods

Learn sampling design and analysis methods for research and management across various fields, ensuring efficient data summarization and analysis with minimal assumptions and complications.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

Yunnan University

Statistics

The world we live in is full of data that comes from everywhere around us. The data themselves are just noise and confusion. To make sense of data, to extract the information hidden in it, we need a powerful branch of science---STATISTICS.

• XuetangX
• On-Demand
• Free Online Course

Hebei University of Technology

Signal and Linear System

The signals and linear systems course team has good ethics, high academic attainment, and strong teaching ability.

• XuetangX
• On-Demand
• Free Online Course

IIT Kanpur;  NPTEL

Essentials of Data Science With R Software-2: Sampling Theory and Linear Regression Analysis

Explore sampling theory and linear regression analysis using R software. Learn essential statistical tools for data science, including simple and stratified random sampling, bootstrap methodology, and LASSO regression.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Sampling Continuous Time Signals

Learn about signal sampling, aliasing, and reconstruction techniques. Explore bandlimited signals, digital-to-analog conversion, and practical applications in signal processing.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

ICTP Mathematics

Sampling, Tilings, and Quasicrystals

Explore connections between sampling theorem, tiling properties, and model sets. Discover links to Fuglede's theorem and quasicrystals, bridging mathematics and materials science.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Society for Industrial and Applied Mathematics

Infinite-Dimensional Inverse Problems with Finite Measurements

Explore infinite-dimensional inverse problems with finite measurements, focusing on uniqueness, stability, and reconstruction. Learn about applied harmonic analysis, compressed sensing, and inverse problems in PDEs.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Squid: Schools for Quantum Information Development

Shallow Quantum Circuits: Unconditional Separations Between Quantum and Classical Computing

Delve into quantum circuit complexity, exploring unconditional separations between quantum and classical computing, with practical circuit construction techniques and sampling distribution analysis.

• YouTube
• 51 minutes
• On-Demand
• Free Video

UofU Data Science

Introduction to Statistics: Independent and Identically Distributed Random Variables - Lecture 12

Explore fundamental statistical concepts including iid random variables, sample realizations, and the Central Limit Theorem while practicing implementations in R programming.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Signal Recovery, Restriction Theory, and Applications - Lecture 2

Explore signal recovery techniques using Fourier transforms and restriction theory, with applications to multiple transmissions and continuous problems in mathematics.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video