Introduction to Geospatial Analysis with Python GeoPandas
Learn to visualize and process geospatial data using Python GeoPandas. Master coordinate conversion, elevation extraction, and geoprocessing techniques for beginners.
SPSS
Learn essential statistical tests and analyses using SPSS, including Chi-Square, ANOVA, regression, and survival analysis, with practical examples and beginner-friendly tutorials.
Quantitative Social Science Methods
First course for incoming Harvard Government Department PhD students; also taken by students in other departments, and students elsewhere through the Harvard Extension School. Instructor: Gary King.
Probability and Random Processes
Explore random variables, probability distributions, and stochastic processes through intuitive explanations and practical applications in parameter estimation and noisy measurements.
Sports Analytics
Explore sports analytics through diverse projects, data scraping, and statistical analyses. Learn to predict outcomes, simulate games, and gain insights into various sports using data science techniques.
Google Sheets Advanced Tutorial
Master advanced Google Sheets techniques: data sorting, filtering, charts, pivot tables, functions (IF, VLOOKUP, SUMIF), macros, and more. Enhance your spreadsheet skills for efficient data analysis and visualization.
Quantitative Finance
Comprehensive exploration of financial modeling, risk analysis, and investment strategies, equipping learners with advanced tools for data-driven decision-making in the financial sector.
Astrophysics & Cosmology
Explore the wonders of the universe through comprehensive lectures on celestial bodies, cosmic phenomena, and the fundamental laws governing our cosmos.
Matlab Tutorial
Learn MATLAB basics for data analysis, control systems, and signal processing. Covers variables, operations, scripts, functions, and linear algebra in a beginner-friendly tutorial.
Data Quality and Data Management
Explore data linkage's societal impact, ethical considerations, and practical applications across the UK, with insights on civil liberties and available datasets for research.
Qualitative Research
Comprehensive overview of qualitative research methods, covering literature reviews, semi-structured interviews, data analysis, and practical tips for effective research implementation.
ArcMap & ArcCatalog
This playlist discusses ArcMap and Geodatabase basics on ArcGis. You will also get to understand the difference between ArcMap and ArcGis Pro, Creating Grid Index in ArcMap, Georeferencing CAD Files in ArcMap and using Layer files in ArcMap and ArcGis Pr…
Quality Control and Improvement with MINITAB
This course will emphasize on application of different theories, tools, and techniques for Quality Control and Improvement. Most of the topics will be discussed with relevant problems and solutions in MINITAB 19 software interface.
The Ultimate MS Excel Crash Course - Microsoft Excel 2016 Tutorial for Beginners
Comprehensive 6-hour tutorial covering Excel basics to advanced functions. Learn data entry, formatting, formulas, VLOOKUP, charts, and more. Includes hands-on exercises for practical skill development.
Incident Response with Fireeye - Final Hackersploit Blue Team Training
Learn to use FireEye's Redline for incident response, including memory and file analysis. Gain practical skills in data collection, comprehensive collection, and analysis sessions for effective threat assessment.
Kalman Filter for Beginners - Recursive Filters & MATLAB Examples
Explore recursive filters, including average, moving average, and low-pass filters, with practical MATLAB examples. Learn the foundations of Kalman filtering for enhanced estimation and data analysis skills.
Working with LIDAR in ArcGIS
Companion Videos for the e-book, "Working with LIDAR in ArcGIS". The eBook is available on Amazon at http://tinyurl.com/hjbujgb for $2.99. These videos cover some of the hands-on exercises from the book as a supplement to the text.
How to Build Excel Dashboard - PivotTable, Chart, Conditional Formatting
Learn to create an Excel dashboard using Power Query, PivotTables, charts, and DAX measures. Master data modeling, conditional formatting, and dynamic updates for effective data visualization and analysis.
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.
Working with SPSS
Learn to use SPSS for data analysis: from data entry and import to advanced statistical techniques like ANOVA, regression, and correlation. Master creating charts and formatting outputs.
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.