IPL Auction Bidding Using Data Science
Explore data-driven IPL auction strategies using analytics, player performance comparisons, and predictive modeling. Learn Tableau basics for creating insightful dashboards.
Customer Segmentation Using Clustering
Learn customer segmentation using four clustering techniques: KMeans, DBSCAN, MeanShift, and Agglomerative. Apply these methods to real-world data and compare their effectiveness in dividing customers into meaningful groups.
Application of Classification Algorithms
Explore popular classification algorithms, their comparisons, and real-world applications through a case study on employee promotion prediction using various techniques.
Pandas Query
Learn efficient data analysis using Pandas in Python, including the df.query method and its conditions. Hands-on demonstration using Jupyter IDE for practical application of concepts.
Data Science - Cancer Genomics
Explore cancer genomics through data analysis, accessing public databases, and understanding NGS techniques. Learn about lung adenocarcinoma and copy number variation analysis.
ENSEMBL Genome Browser
Learn to navigate and utilize the ENSEMBL Genome Browser, including BLAST, synteny viewing, and Biomart, in this comprehensive tutorial for beginners.
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.
Sequencing Tutorial
Learn essential steps in RNA-seq analysis: data download, quality control, trimming, alignment, indexing, and gene expression quantification using popular bioinformatics tools.
Amazon EC2 Spot Instances
Learn to optimize AWS EC2 Spot Instances for cost-effective, scalable cloud computing. Explore automatic scaling, instance flexibility, and integration with various AWS services for efficient workload management.
Read CSV Files, Extract Dataset Scikit Learn & Simulate Data Using Python - Machine Learning
Learn to extract data from CSV files and databases, use scikit-learn for dataset manipulation, and simulate various types of machine learning data in Python.
Hadoop, Machine & Deep Learning on Azure Cloud - Tutorial Series
Comprehensive hands-on tutorial series covering Azure cloud services, Hadoop, Spark, and machine learning, with practical demos and step-by-step guidance for various Azure tools and technologies.
Learning Vega-Lite API for Javascript on Observable
Master Vega-Lite API for interactive data visualizations in JavaScript. Learn fundamentals, advanced techniques, and create custom charts on Observable platform.
UPSC CSE Mains Psychology Optional
Comprehensive analysis of UPSC Mains Psychology Optional papers, including trend analysis, current affairs, and previous year question discussions to enhance exam preparation and performance.
R Beginner
Learn to create basic graphs in R Studio, including bar plots, scatter plots, and box plots. Explore ggplot for data visualization and run simple programs for biological applications.
Bioinformatics in Python - DNA Toolkit
Learn to build a comprehensive DNA toolkit in Python, covering nucleotide validation, transcription, GC content calculation, translation, protein search, and more for practical bioinformatics applications.
Rosalind Problems
Learn bioinformatics through hands-on problem-solving, covering DNA analysis, Python basics, transcription, data processing, and biological modeling.
Bioinformatics in Python
Learn Python-based bioinformatics techniques for DNA analysis, including nucleotide counting, transcription, GC content calculation, and protein search, while solving Rosalind problems and refactoring code.
Bioinformatics Tools in Python with Qt
Learn to program bioinformatics tools in Python with Qt in less than an hour. rebelScience.
RNAseq Analysis
Comprehensive guide to RNAseq analysis, covering DEGs, enrichment analysis, data manipulation, and WGCNA, with practical R tutorials for bioinformatics beginners.
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.