Introduction to Network Analysis in Python
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
Explore ways to work with date and time data in SQL Server for time series analysis
Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.
You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.
Learn how to detect fraud using Python.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Analyze text data in R using the tidy framework.
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Learn the core techniques necessary to extract meaningful insights from time series data.
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Learn to manipulate and analyze flexibly structured data with MongoDB.
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
Discover how to use the income statement and balance sheet in Power BI
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Leverage the power of Python and PuLP to optimize supply chains.