Statistical Theory
Explore advanced statistical concepts, proofs, and applications using R, covering topics from probability distributions to matrix properties and confidence intervals.
Survival Analyses
Learn to generate censored exponential data, derive density and likelihood for censored data, and understand the Kaplan-Meier estimator as a maximum likelihood estimator in R.
Maximum Likelihood Estimation
Comprehensive exploration of Maximum Likelihood Estimation across various probability distributions, including practical applications using R for data generation and parameter estimation.
Approximations
Explore statistical approximations, including binomial, Poisson, and normal distributions. Learn delta method, confidence intervals, and moment estimation techniques for various probability distributions.
Exponential Family
Comprehensive exploration of exponential family distributions, covering theoretical aspects and practical applications using R for simulation and confirmation of results.
Multivariate
Explore advanced multivariate statistical concepts, including hypothesis testing, probability distributions, and data analysis techniques, with practical applications using R programming.
Order Statistics
Explore order statistics, from summation formulas to distribution convergence, transformations, and practical applications using R for data analysis and visualization.
Hypotheses Testing
Comprehensive exploration of hypothesis testing, covering statistical concepts, methods, and practical applications using R simulations for various distributions and test types.
Data Science and Machine Learning with Python and R
Master data science and machine learning techniques using Python and R, covering key algorithms, tools, and real-world applications across various industries.
MongoDB with Python
Learn to integrate MongoDB with Python, covering installation, CRUD operations, querying, updating, aggregation, and cloud deployment using MongoDB Atlas.
Scala Online Training
Learn Scala programming fundamentals, syntax, and advanced concepts through hands-on practice. Covers data types, functions, collections, traits, and more for building robust applications.
Numerical Analysis With Matlab
Learn iterative methods, interpolation, and numerical integration techniques with Matlab implementations for solving complex mathematical problems.
Learning Base R
Master fundamental R programming concepts, from basic calculations to advanced topics like simulation and statistics, through hands-on practice and comprehensive coverage of essential functions and data structures.
MATLAB for Absolute Beginners
Comprehensive introduction to MATLAB, covering basic syntax, data analysis, signal processing, image manipulation, and probability concepts with practical exercises and real-world applications.
Data Analytics With R, Excel and Tableau Tutorials
Learn essential data analytics skills using R, Excel, and Tableau. Gain practical knowledge in business analytics and R programming to enhance your data-driven decision-making abilities.
Geodatabase Talk
Explore Esri's Geodatabase technology through a comprehensive podcast series covering key concepts, functionalities, and advanced features in GIS data management and analysis.
Software Architecture
Comprehensive exploration of software architecture concepts, covering REST APIs, databases, web servers, microservices, and more. Practical examples and in-depth discussions enhance understanding of modern backend systems.
Python Tutorial for Beginners
Learn Python basics, data types, file handling, automation, image processing, statistics, multithreading, testing, and more through hands-on tutorials and live demonstrations.
MySQL Stored Procedures and Functions
Learn to create and use MySQL stored procedures and functions, including variables, syntax, and database API integration.
DB2 Tutorials
Comprehensive guide to DB2 SQL: from basics to advanced concepts. Learn data structures, CRUD operations, relationships, normalization, and integrity constraints for effective database management.
SQL Basics for Data Analysts
Learn essential SQL commands for data analysis: Select, From, Where, Group By, and Order By. Create tables, insert data, and prepare for intermediate SQL concepts.