Python for Data Science - Data Science Tutorial - Python Tutorial
Learn Python for data science: versatile programming, complex problem-solving, and real-world applications. Covers key concepts, tools, and techniques with hands-on examples and expert guidance.
IPL Data Analysis Using EDA - Exploratory Data Analysis Case Study
Practical guide to IPL data analysis using Python, covering EDA techniques, data preprocessing, and visualization to extract insights from real-world cricket datasets.
Microsoft Excel Tutorial for Beginners - Excel Training
Comprehensive tutorial covering Excel basics to advanced functions. Learn data manipulation, formulas, conditional formatting, and practical applications for business and analysis.
Kaggle Competition for Beginners - Kaggle Competition Explained - Beginners Guide - Great Learning
Learn to participate in Kaggle competitions: explore the platform, enroll in contests, and submit results. Ideal for data science enthusiasts looking to enhance their skills and engage with the community.
Amazon SageMaker Tutorial - How to Use Amazon SageMaker for Machine Learning
Learn to build, train, and deploy machine learning models using Amazon SageMaker. Explore its architecture, features, and hands-on implementation for streamlined ML development and production.
Classification Algorithm Tutorial - Machine Learning Tutorial
Comprehensive tutorial on classification algorithms in machine learning, covering techniques for categorizing new observations based on training data. Explores supervised learning methods and practical applications.
Exploratory Data Analysis Tutorial - Basics of EDA with Python
Learn Python-based exploratory data analysis techniques to uncover insights, detect patterns, and visualize relationships in datasets for informed decision-making and hypothesis testing.
Statistics for Data Science - Probability and Statistics
Learn essential statistical concepts for data science, including types of analysis and practical implementation using Python, to build a strong foundation for advanced data science applications.
Probability and Its Interpretation - Foundations of Humanities Analytics
Explore probability theory, its historical development, and interpretations in this humanities analytics lecture, focusing on frequency and subjective approaches to understanding uncertainty.
Data Mining with Python - Data Mining for Beginners
Learn data mining techniques using Python, covering classification, regression, and prediction. Gain practical skills to extract valuable insights from data for business and scientific applications.
Excel Basics for Beginners - MS Excel
Master Excel basics: formulas, data manipulation, and visualization. Learn essential skills for spreadsheet analysis and effective data presentation in this comprehensive beginner's guide.
Top 10 Indian Foods Analysis Using Python
Analyze top Indian foods using Python, covering data manipulation, visualization, and machine learning. Learn pandas, NumPy, Matplotlib, Seaborn, and scikit-learn for exploratory data analysis on Indian cuisine dataset.
Transformations in FMCG Through Data Science
Explore how data science transforms FMCG industry through market evolution, digital manufacturing optimization, and key roadmap development. Gain insights from real-world scenarios and industry experts.
Graph ggPLOT Beginner Tutorial - Creating Simple Graphs in R
Learn to create simple graphs using ggplot2 in R, enhancing your data visualization skills for effective analysis and presentation.
Molecular Docking with AutoDock VINA - Script-Based Method for Multiple Ligands
Learn script-based molecular docking with AutoDock Vina for virtual screening of multiple ligands. Explore conformational space, calculate binding energies, and identify potential lead compounds efficiently.
Protein-Protein Docking Tutorial for Beginners Using ClusPro, PatchDock, and Hex
Learn to perform protein-protein docking using validated tools like ClusPro, PatchDock, and Hex. Gain hands-on experience with step-by-step demonstrations and access to relevant literature.
PyMol Advanced Session: Protein-Ligand Interactions and Plugin Installation
Explore advanced Pymol features: protein-ligand interactions, plugin installation, and protein annotations. Learn to visualize and analyze molecular structures effectively.
Creating Simple Graphs in R Studio - Bar, Scatter, and Box Plots
Learn to create bar graphs, scatter plots, pie charts, and box plots using simple R functions for effective data visualization in RStudio.
PCR Primer Designing Using NCBI Primer BLAST - In Silico Design and Validation
Learn to design PCR primers using NCBI Primer BLAST, covering key requirements, tools, and step-by-step process for effective primer selection and validation in molecular biology applications.
Molecular Docking and Virtual Screening with AutoDock VINA - Bioinformatics Tutorial
Learn molecular docking with AutoDock VINA for virtual screening in drug discovery. Explore ligand-protein interactions, scoring functions, and post-processing techniques to identify potential lead compounds.
Molecular Docking Analysis - Autodock Results and Visualization
Learn to analyze molecular docking results using Autodock, extract key scores, and generate 2D/3D visualizations with tools like Pymol and LigPlot for effective protein-ligand interaction studies.