Getting Started with Retail Data Analytics
Develop retail data analytics skills using Python libraries to create consumer profiles, purchase histories, and interactive dashboards with geo-traceable data from 4500+ Walmart stores.
How to Speed Up Your Pandas Code and Save Time and Resources
Learn to accelerate Pandas code 2-5x using Modin, a drop-in replacement that utilizes all CPU cores. Compare performance, explore use cases, and understand technical details for efficient data processing.
Python Pandas Profiling - Why Data Profiling Is Important for You
Learn to generate detailed, interactive dataset reports using pandas-profiling. Explore column details, interactions, correlations, and more with just a few lines of code.
No-Code and Full-Code Data Analytics with GigaSheet and Pandas - Side-by-Side
Hands-on workshop comparing no-code (GigaSheet) and full-code (Pandas) data analytics solutions, covering data upload, filtering, aggregation, updating, grouping, and exporting.
Python for Finance: Low Risk Investment Options - Part 3
Learn to analyze stocks using Python, covering correlation, risk minimization, ROI calculation, and portfolio optimization techniques for informed investment decisions.
Python for Finance - Introduction to Stock Market Analysis
Learn to analyze stock market data using Python, covering Numpy, Pandas, Matplotlib, data manipulation, statistical calculations, and visualization techniques for financial analysis.
Finding Breakout Candidates with Python and Pandas
Learn to identify stock breakout candidates using Python and Pandas, focusing on consolidation patterns and breakout indicators for potential trading opportunities.
Intro to Data Analysis - Visualization with Python, Matplotlib and Pandas - Matplotlib Tutorial
Learn Python data analysis and visualization using Matplotlib and Pandas. Covers installation, data importing, plotting techniques, and real-world population growth analysis.
Python for Data Analysts and Data Scientists
Comprehensive guide to Python essentials for data analysis, covering Jupyter notebooks, data structures, libraries, and advanced pandas operations for effective data manipulation and insights.
Economic Data Analysis Project with Python Pandas - Data Scraping, Cleaning and Exploration
Learn to analyze economic data using Python and Pandas. Scrape, clean, and explore indicators with the FRED API. Create insightful visualizations and comparisons for unemployment and participation rates.
Exploratory Data Analysis with Pandas Python 2023
Learn exploratory data analysis with pandas in Python from Kaggle grandmaster Rob Mulla. Covers data understanding, preparation, feature analysis, and relationships, with practical examples and insights for data scientists.
A Gentle Introduction to Pandas Data Analysis
Learn essential Pandas skills for data analysis in Python, covering data structures, manipulation, and visualization. Perfect for beginners seeking to master this crucial data science tool.
Data Analysis and Data Science with Python and Pandas
Learn data analysis with Python and Pandas through practical examples. This tutorial covers installation, datasets, reading data, and basic operations to help you start working with Pandas independently.
Python for Machine Learning - Machine Learning Tutorial for Beginners
Comprehensive introduction to Python libraries for machine learning, covering NumPy, Pandas, and Seaborn. Includes practical implementations of algorithms and data visualization techniques.
Python for Machine Learning - Machine Learning for Beginners
Explore essential Python libraries for machine learning, including NumPy for numerical computation, Pandas for data manipulation, and Seaborn for visualization. Gain practical skills through demos and Q&A.
Python for Machine Learning - Machine Learning Tutorial for Beginners
Comprehensive introduction to Python for machine learning, covering essential libraries like NumPy, Pandas, and Seaborn. Includes practical examples and guidance for beginners.
Analyzing IPL Data Using Python
Learn to analyze IPL data using Python, pandas, matplotlib, and seaborn. Gain hands-on experience in data visualization and exploratory analysis while developing practical Python skills.
Python for Machine Learning - Machine Learning Tutorial - Python Tutorial
Explore Python libraries for machine learning, including NumPy, Pandas, and Seaborn. Learn data manipulation, visualization, and practical ML implementation through examples and hands-on demonstrations.
Python Basics for Machine Learning - Day 2 of Kaggle's 30 Days of ML Challenge
Learn Python fundamentals for machine learning, covering data manipulation, visualization, and deep learning tools in this comprehensive 30-day challenge.
Consuming Legend Data Models and Services Using BI, Python/ML and Other Tools
Explore integrating Legend data models with BI and ML tools. Learn about TDS protocol, query execution plans, and practical applications through demos of Pandas and Trino integrations.
Indexing & Slicing DataFrames in Pandas - Python Programming
Learn essential DataFrame operations in Pandas including indexing, slicing, and basic analysis methods to efficiently manipulate and explore your data.