Introduction to MongoDB in Python
Learn to manipulate and analyze flexibly structured data with MongoDB.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn to manipulate and analyze flexibly structured data with MongoDB.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Python's SimPy package.
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
This course is for R users who want to get up to speed with Python!
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Learn to build pipelines that stand the test of time.
Learn to solve increasingly complex problems using simulations to generate and analyze data.
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Use survival analysis to work with time-to-event data and predict survival time.
Learn to use the Census API to work with demographic and socioeconomic data.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Learn how to prepare and organize your data for predictive analytics.
In this course you'll learn how to apply machine learning in the HR domain.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Are you curious about the inner workings of the models that are behind products like Google Translate?
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.