Course
Practicing Coding Interview Questions in Python
- AdvancedSkill Level
- 4.5+
- 703
Prepare for your next coding interviews in Python.
Software Development
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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Prepare for your next coding interviews in Python.
Software Development
Course
In this course youll learn to use and present logistic regression models for making predictions.
Machine Learning
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In this course, youll learn the basics of relational databases and how to interact with them.
Data Manipulation
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Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
Machine Learning
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Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.
Artificial Intelligence
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Learn to manipulate and analyze flexibly structured data with MongoDB.
Data Engineering
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Learn about ARIMA models in Python and become an expert in time series analysis.
Machine Learning
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Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Machine Learning
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Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
Machine Learning
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Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Probability & Statistics
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Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Software Development
Course
Learn to perform linear and logistic regression with multiple explanatory variables.
Probability & Statistics
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Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Machine Learning
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Learn how to approach and win competitions on Kaggle.
Machine Learning
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Using Python and NumPy, learn the most fundamental financial concepts.
Applied Finance
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Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Probability & Statistics
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Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Machine Learning
Course
This course will show you how to integrate spatial data into your Python Data Science workflow.
Data Manipulation
Course
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Applied Finance
Course
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Applied Finance
Course
Learn how to detect fraud using Python.
Machine Learning
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Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.
Probability & Statistics
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Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Data Manipulation
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Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Machine Learning
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Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.
Artificial Intelligence
Course
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Data Visualization
Course
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Probability & Statistics
Course
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
Cloud
Course
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Data Manipulation
Course
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
Applied Finance