Data Analytics for Beginners - Introduction to Data Analytics
Learn data analytics fundamentals, including the data lifecycle, machine learning basics, and exploratory data analysis using Python/R. Gain practical skills for leveraging data to solve problems and make informed decisions.
Introduction to Biostatistics
In this course, we will discuss different statistical tools required to (i) analyze our observations, (ii) design new experiments, and (iii) integrate a large number of observations in a single unified model.
R Programming for Beginners - Learn R in 3 Hours
Comprehensive introduction to R programming, covering data types, manipulation, visualization, and neural networks. Includes hands-on examples and a Pokemon case study for practical application.
Correlation
Explore correlation concepts, from Pearson's coefficient to advanced topics like partial and rank correlations. Learn geometrical interpretations, multiple regression, and practical applications using R.
Quantitative Methods
Explore regression analysis and difference-in-differences methodology using R, with a focus on the Minimum Legal Drinking Age example.
Reproducible Data Science with Machine Learning
Discover techniques for reproducible data science using machine learning, focusing on workflow organization, notebook environments, and Azure ML Compute Instances for transparent and explainable AI development.
Risk Modelling and Survival Analysis - Actuarial Science
Explore stochastic processes, Markov chains, risk modeling, and survival analysis in actuarial science. Learn key concepts and tackle past exam questions using R for practical applications.
Biostatistics Using R Course
Learn biostatistics with R: from basics to advanced topics like probability, inferential statistics, mixed modeling, and regression analysis. Gain practical skills for data analysis in biological sciences.
Power BI Examples, Demos & Tutorials
You asked for it. Here is a complete and in-depth course on how to use Power BI for data analysis.
R for Bioinformatics
Learn to convert Ensembl IDs to gene symbols and create heatmaps using R packages like biomaRt and pheatmap, essential skills for bioinformatics data analysis and visualization.
Transcriptomics
Comprehensive guide to RNA-Seq analysis, covering data processing, visualization techniques like volcano plots and heatmaps, and practical applications using R and Galaxy.
Product Categorization Using Machine Learning - Machine Learning With R
Learn to categorize products using machine learning algorithms, improving e-commerce efficiency and marketing. Includes a case study and demo to apply the concepts in practice.
Data Manipulation in R With Dplyr
Master efficient data manipulation techniques using dplyr in R. Learn powerful functions for faster, more intuitive data analysis and transformation.
R Language for Beginners in Hindi - R Tutorial - Learn R Programming
This R Language For Beginners video by Great Learning will act as a comprehensive guide in helping you master fundamental and core concepts of R Programming and help pave way for a career in Data Science in R Programming.
Neural Networks in R and the MNIST Data - Lecture 10.R.1
Explore neural networks using R and MNIST data, learning practical implementation of deep learning techniques for image recognition and statistical analysis.
Logistic Regression
Learn to predict discrete outcomes using logistic regression, covering coefficients, maximum likelihood, R-squared, p-values, deviance, and practical implementation in R.
Statistics and Machine Learning in R
If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.
Marketing Analytics
Learn R programming and advanced marketing analytics techniques, including consumer behavior, segmentation, pricing, forecasting, and data-driven decision-making for business success.
Essentials of Data Science With R Software - Probability and Statistical Inference
The main objective of statistics is to work on a small sample of data but provide conclusions for the whole population. Such results cannot be obtained without learning the concepts and tools of theory of probability and statistical inference.
STEM Workshop - Introduction of R-Python Programming and Bioinformatics to High School Students
Comprehensive workshop introducing R and Python programming for bioinformatics to high school students, covering data analysis, visualization, and computational biology applications.
First Look at Positron - Exploring Orca Encounters
Explore orca encounters using Positron, a next-generation data science IDE, in this hands-on demonstration of its capabilities and features.