Excel 2019 Intermediate Tutorial
Enhance data management skills with advanced Excel techniques, including list design, pivot tables, charts, data validation, and conditional formatting for improved efficiency and analysis.
Make a Beautiful Ggplot2 Bar Chart from Basic to Powerful Themes
Learn to create stunning ggplot2 bar charts in R, from basic techniques to advanced theming. Master data cleaning, chart customization, and professional visualization using real-world crime data.
Data Science Solutions with Cortana Analytics
Comprehensive tutorial on building predictive models using Microsoft Azure Machine Learning, covering data processing, model creation, deployment, and practical applications in various domains.
Flight Delay Dataset Creation
Live coding session demonstrating the creation of a flight delay dataset using Python and Pandas. Learn data acquisition, cleaning, exploration, and visualization techniques with real-world airline data.
Solving Real World Data Science Tasks With Python Pandas
Analyze real-world sales data using Python Pandas and Matplotlib. Learn data cleaning, exploration, and visualization techniques to answer key business questions and gain valuable insights.
Does Instagram Think You Live in an Influential City? - A Deep Dive Into Web Data
Explore Instagram's city influence using a 40GB dataset. Learn data cleaning, ML algorithms, visualization, and dashboard creation for impactful business insights.
The Google Guide to Exploratory Data Analysis - With Code
Learn to apply Google's Exploratory Data Analysis guide using productivity data, covering data cleaning, visualization, and statistical techniques for insightful analysis and feature selection.
Overview and Importance of Data Quality
Explore data quality's crucial role in machine learning, covering challenges, metrics, cleaning techniques, and strategies for handling imbalanced datasets in enterprise settings.
Time Series Forecasting - ARIMA Models and Regression Analysis
Learn to predict future values using ARIMA, covering AutoReg, data handling, and model creation. Gain practical skills in time series forecasting with real-world examples and comprehensive explanations.
Python for Finance: Downloading and Analyzing Stock Data
Learn to analyze stock market data using Python, covering Numpy, Pandas, data cleaning, and calculating financial metrics for thousands of stocks.
How to Become a Practical Data Scientist with Kaggle Learn
Discover a comprehensive, free path to becoming a practical data scientist using Kaggle Learn's step-by-step courses, covering Python, machine learning, data visualization, and more.
Effortless Data Analysis and Cleaning with Data Wrangler in VS Code
Explore Data Wrangler in VS Code: Boost productivity with code-centric data cleaning, automated Pandas code generation, and insightful visualizations for efficient data analysis.
Excel 2021 Full Course Tutorial
Comprehensive tutorial covering Excel 2021 basics to advanced features. Learn calculations, functions, data manipulation, pivot tables, macros, and automation techniques to enhance spreadsheet skills and efficiency.
Data Visualization in Python - Altair 4.2 Tutorial
Comprehensive tutorial on Altair for data visualization in Python, covering setup, basic plots, customization, interactivity, and advanced features. Ideal for beginners and intermediate users.
Prepping the Bar - Insights from Cleaning and Labeling a Cocktail Dataset
Explore data cleaning and labeling techniques using a cocktail dataset, gaining insights for effective data preparation in business analytics projects.
Automating Supervised Machine Learning Pipeline Development
Explore methodologies for automating supervised machine learning pipelines, covering data cleaning, feature engineering, and model development. Gain insights from experienced data scientists on best practices and techniques.
TF-IDF - Introduction to Text Analytics with R
Explore TF-IDF for text analytics in R: improve document representation, handle unequal lengths and common terms, implement TF-IDF, and clean data matrices post-weighting.
Data Preprocessing in Python
Learn to transform raw text into structured lists and CSVs using Python, enhancing data organization and analysis skills for practical applications.
Step-by-Step Machine Learning Project Implementation: EDA, Feature Engineering, Selection, and Model Training
Comprehensive guide to implementing a machine learning project, covering data cleaning, EDA, feature engineering, selection, model training, and hyperparameter tuning.
Fixing Enterprise Data Plumbing for Effective Big Data Analytics
Discover how Fortune 500 companies automate data preparation, saving millions and enabling data scientists to focus on analysis. Learn from GE and Toyota's successful approaches to unifying enterprise-wide data.
Streamlining Data Preparation with Pydantic - A 25-Minute Guide
Explore Pydantic's power in data validation and cleaning for Python projects. Learn to ensure consistency, handle missing values, and streamline data preparation in just 25 minutes.