R Tutorials
Comprehensive R tutorials covering bioinformatics, statistics, and data visualization. Learn to analyze gene expression, perform regression, create plots, and conduct survival analysis using R programming.
Math for JEE 2021-22
Comprehensive JEE mathematics preparation covering geometry, counting principles, permutations, combinations, calculus, and more. Focuses on problem-solving and exam-specific techniques.
Machine Learning and Deep Learning Maths - Matrix and Vector Operations
Explore essential matrix and vector operations for machine learning and deep learning using Python, covering creation, manipulation, and mathematical computations.
SSC CHSL 2021 Maths
Comprehensive mathematics preparation for SSC CHSL 2021 exam, featuring 26 sets of crucial questions taught by Vasu Sir to enhance problem-solving skills and exam readiness.
SSC CGL 2021 Maths Previous Year Papers
Comprehensive preparation for SSC CGL 2021 Maths exam with 53 sets of previous year papers solved by Vasu Sir, offering in-depth practice and strategic problem-solving techniques.
IT Data Structures Class - University of South Florida Fall 2016
Comprehensive exploration of data structures, covering arrays, STL containers, C++ classes, and Big O notation. Includes practical coding examples and best practices.
C++
Master C++ essentials: arrays, loops, STL containers, file I/O, classes, and Big O notation. Hands-on practice with CLion IDE and modern C++ features.
GATE and IES Preparation 2022
Comprehensive preparation for GATE and IES exams, covering key engineering topics with strategies from top-ranked candidates. Includes in-depth lectures on various subjects and exam preparation techniques.
AngularJS Tutorial 2019 - Angular 8 Complete Course
Comprehensive Angular 8 tutorial covering setup, components, data binding, and directives. Learn to build modern web applications using Visual Studio Code as the development environment.
C++ Programming
Learn essential C++ programming concepts and apply them to game development using SFML. Master variables, vectors, loops, sprites, user interactions, and game maps for diverse applications.
Signal Processing 101
Comprehensive introduction to signal processing, covering time, frequency, and Laplace domains. Explore signal representation, transformations, system properties, Fourier analysis, and Laplace transforms.
Digital Signal Processing, 1975
Comprehensive introduction to analog and digital signal processing, covering applications in various fields. Gain practical skills through 20 video lectures led by a renowned expert.
Real-Time Digital Signal Processing Laboratory Course
Comprehensive video series on real-time digital signal processing, covering DSP architecture, filters, modulation techniques, and communication systems. Includes lectures and homework discussions for hands-on learning.
Rosalind Problems
Learn bioinformatics through hands-on problem-solving, covering DNA analysis, Python basics, transcription, data processing, and biological modeling.
RStudio Tutorial
Comprehensive RStudio tutorial covering statistical analysis, data visualization, bioinformatics, machine learning, and more. Ideal for beginners and advanced users seeking practical skills in R programming.
Bioinformatics
Comprehensive bioinformatics tutorials covering RNA-seq analysis, data visualization, statistical methods, and cancer genomics using R and other tools.
Learn TensorFlow and Deep Learning Fundamentals with Python - Code-First Introduction Part 1-2
Comprehensive introduction to TensorFlow and deep learning fundamentals, covering tensor operations, neural network regression, and classification. Hands-on coding examples and practical insights for building and improving models.
R Programming
Learn R programming fundamentals for bioinformatics applications, covering essential concepts and techniques in a comprehensive two-part introduction.
Biostatistics and Epidemiology Lecture Series
Comprehensive lecture series covering essential biostatistics and epidemiology concepts, from basics to advanced topics like probability, statistical inference, and survival analysis.
Statistical Methods - Biostatistics
Comprehensive biostatistics training covering hypothesis testing, z-test, t-test, chi-square test, F-test, and ANOVA. Includes theory, applications, and problem-solving for robust statistical analysis in biological research.
Biostatistics
Comprehensive introduction to biostatistics covering key concepts, probability, distributions, hypothesis testing, and statistical analysis methods for healthcare and research applications.