176 results

Dealing with Missing Data in Python

Learn how to identify, analyze, remove and impute missing data in Python.

4 hours Data Manipulation Suraj Donthi Course

Working with Geospatial Data in Python

This course will show you how to integrate spatial data into your Python Data Science workflow.

4 hours Data Manipulation Joris Van den Bossche Course

Writing Efficient Code with pandas

Learn efficient techniques in pandas to optimize your Python code.

4 hours Programming Leonidas Souliotis Course

Natural Language Processing with spaCy

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

4 hours Machine Learning Azadeh Mobasher Course

Monte Carlo Simulations in Python

Learn to design and run your own Monte Carlo simulations using Python!

4 hours Probability & Statistics Izzy Weber Course

Customer Analytics and A/B Testing in Python

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

4 hours Probability & Statistics Ryan Grossman Course

Sentiment Analysis in Python

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

4 hours Machine Learning Violeta Misheva Course

Machine Learning for Finance in Python

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

4 hours Machine Learning Nathan George Course

Building Chatbots in Python

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

4 hours Machine Learning Alan Nichol Course

Reinforcement Learning with Gymnasium in Python

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

4 hours Machine Learning Fouad Trad Course

Feature Engineering for NLP in Python

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hours Machine Learning Rounak Banik Course

Anomaly Detection in Python

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

4 hours Probability & Statistics Bex Tuychiyev Course

Introduction to Predictive Analytics in Python

In this course you'll learn to use and present logistic regression models for making predictions.

4 hours Machine Learning Nele Verbiest Course

Biomedical Image Analysis in Python

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

4 hours Data Manipulation Stephen Bailey Course

Intermediate Regression with statsmodels in Python

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hours Probability & Statistics Maarten Van den Broeck Course

Fraud Detection in Python

Learn how to detect fraud using Python.

4 hours Machine Learning Charlotte Werger Course

Introduction to Object-Oriented Programming in Python

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

3 hours Programming George Boorman Course

Market Basket Analysis in Python

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

4 hours Machine Learning Isaiah Hull Course

Customer Segmentation in Python

Learn how to segment customers in Python.

4 hours Data Manipulation Karolis Urbonas Course

Introduction to Linear Modeling in Python

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

4 hours Probability & Statistics Jason Vestuto Course

Building Recommendation Engines in Python

Learn to build recommendation engines in Python using machine learning techniques.

4 hours Machine Learning Robert O'Callaghan Course

Foundations of Probability in Python

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

5 hours Probability & Statistics Alexander A. Ramírez M. Course

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.

4 hours Probability & Statistics Eric Ma Course

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

4 hours Probability & Statistics Justin Bois Course

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

4 hours Machine Learning Christoforos Anagnostopoulos Course

Practicing Machine Learning Interview Questions in Python

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

4 hours Machine Learning Lisa Stuart Course

Ensemble Methods in Python

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

4 hours Machine Learning Román de las Heras Course

Analyzing Social Media Data in Python

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

4 hours Data Manipulation Alex Hanna Course

Analyzing Police Activity with pandas

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

4 hours Data Manipulation Kevin Markham Course

Introduction to MongoDB in Python

Learn to manipulate and analyze flexibly structured data with MongoDB.

4 hours Data Manipulation Donny Winston Course

Python for Spreadsheet Users

Use your knowledge of common spreadsheet functions and techniques to explore Python!

4 hours Programming DataCamp Content Creator Course

Marketing Analytics: Predicting Customer Churn in Python

Learn how to use Python to analyze customer churn and build a model to predict it.

4 hours Programming Mark Peterson Course

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

4 hours Machine Learning Yauhen Babakhin Course

Generalized Linear Models 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.

5 hours Probability & Statistics Ita Cirovic Donev Course

Advanced NLP with spaCy

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

5 hours Machine Learning Ines Montani Course

Spoken Language Processing in Python

Learn how to load, transform, and transcribe speech from raw audio files in Python.

4 hours Data Manipulation Daniel Bourke Course

Parallel Programming with Dask in Python

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

4 hours Programming James Fulton Course

Practicing Statistics Interview Questions in Python

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

4 hours Probability & Statistics Conor Dewey Course

Machine Learning for Marketing in Python

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

4 hours Machine Learning Karolis Urbonas Course

Performing Experiments in Python

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

4 hours Probability & Statistics Luke Hayden Course

Case Study: School Budgeting with Machine Learning in Python

Learn how to build a model to automatically classify items in a school budget.

4 hours Machine Learning Peter Bull Course

Monitoring Machine Learning in Python

This course covers everything you need to know to build a basic machine learning monitoring system in Python

3 hours Machine Learning Hakim Elakhrass Course

Discrete Event Simulation in Python

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Python's SimPy package.

4 hours Programming Diogo Costa (PhD, MSc) Course

Analyzing Survey Data in Python

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.

4 hours Probability & Statistics EbunOluwa Andrew Course

Python for R Users

This course is for R users who want to get up to speed with Python!

5 hours Programming Daniel Chen Course

Statistical Simulation in Python

Learn to solve increasingly complex problems using simulations to generate and analyze data.

4 hours Probability & Statistics Tushar Shanker Course

Analyzing IoT Data in Python

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

4 hours Data Manipulation Matthias Voppichler Course

HR Analytics: Predicting Employee Churn in Python

In this course you'll learn how to apply machine learning in the HR domain.

4 hours Machine Learning Hrant Davtyan Course

Survival Analysis in Python

Use survival analysis to work with time-to-event data and predict survival time.

4 hours Probability & Statistics Shae Wang Course

Python for MATLAB Users

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

4 hours Programming Justin Kiggins Course
See 8 More Results

What's in an Avocado Toast: A Supply Chain Analysis

Conduct a supply chain analysis of the ingredients used in an avocado toast to gain an understanding of the complex supply chain involved.

1 hour Data Manipulation, Python Programming Maham Khan Project guided

Data Driven Product Management: Conducting a Market Analysis

Explore local and global fitness trends to identify product niches. Investigate online interest in gyms, workouts, digital services, and web apps.

1 hour Data Manipulation, Python Programming Maham Khan Project guided

Investigating Netflix Movies

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

1 hour Data Manipulation, Data Visualization Jasmin Ludolf Project guided

Modeling Car Insurance Claim Outcomes

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

1 hour Machine Learning, Probability & Statistics George Boorman Project guided

Word Frequency in Moby Dick

Use web scraping and NLP to find the most frequent words in classic literature: Herman Melville's novel, Moby Dick.

1 hour Programming, Python Programming Jasmin Ludolf Project guided

The GitHub History of the Scala Language

Find the true Scala experts by exploring its development history in Git and GitHub.

45 minutes Data Manipulation, Data Visualization... Anita Sarma Project guided

Cleaning Bank Marketing Campaign Data

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

30 minutes Programming George Boorman Project guided

Hypothesis Testing with Men's and Women's Soccer Matches

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

1 hour Probability & Statistics James Chapman Project guided

Analyzing River Thames Water Levels

Apply your data manipulation skills to time series data on water levels of the River Thames.

1 hour Data Manipulation, Python Programming Maham Khan Project guided

Customer Analytics: Preparing Data for Modeling

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

1 hour Data Manipulation James Chapman Project guided

Analyzing Online Sports Revenue

Analyze product data for an online sports retail company to optimize revenue.

1 hour Data Manipulation George Boorman Project guided

Exploring Airbnb Market Trends

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

1 hour Data Manipulation, Python Programming Maham Khan Project guided

The Hottest Topics in Machine Learning

Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.

45 minutes Data Manipulation, Machine Learning... Lars Hulstaert Project guided

What and Where are the World's Oldest Businesses

Use joining techniques to discover the oldest businesses in the world.

45 minutes Data Manipulation Izzy Weber Project guided

Recreating John Snow's Ghost Map

Recreate John Snow's famous map of the 1854 cholera outbreak in London.

60 minutes Data Manipulation, Data Visualization... Radovan Kavicky Project guided

Writing Functions for Product Analysis

Use coding best practices and functions to improve a script!

45 minutes Programming Lis Sulmont Project guided

The Android App Market on Google Play

Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.

45 minutes Data Manipulation, Probability & Statistics... Lavanya Gupta Project guided

Exploring the History of Lego

Use a variety of data manipulation techniques to explore different aspects of Lego's history!

45 minutes Data Manipulation, Data Visualization... Ramnath Vaidyanathan Project guided

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