126 results for "statistics"

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

Practicing Statistics Interview Questions in R

In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

4 hours Probability & Statistics Zuzanna Chmielewska Course

Introduction to Statistics in Python

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

4 hours Probability & Statistics Maggie Matsui Course

Introduction to Statistics

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

4 hours Probability & Statistics George Boorman Course

Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hours Probability & Statistics Maggie Matsui Course

Introduction to Statistics in Google Sheets

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

4 hours Probability & Statistics Ted Kwartler Course

Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours Probability & Statistics Richie Cotton Course

Intermediate Data Visualization with ggplot2

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

4 hours Data Visualization Rick Scavetta Course

Data Manipulation with pandas

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

4 hours Data Manipulation Richie Cotton Course

Sampling in Python

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

4 hours Probability & Statistics James Chapman Course

Data Manipulation with data.table in R

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

4 hours Data Manipulation Matt Dowle Course

Introduction to Regression in R

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

4 hours Probability & Statistics Richie Cotton Course

Introduction to Regression with statsmodels in Python

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

4 hours Probability & Statistics Maarten Van den Broeck Course

Hypothesis Testing in Python

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

4 hours Probability & Statistics James Chapman Course

Intermediate Regression in R

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

4 hours Probability & Statistics Richie Cotton Course

Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and to speak the language of your data.

3 hours Probability & Statistics Justin Bois Course

Time Series Analysis in Python

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

4 hours Probability & Statistics Rob Reider Course

Hypothesis Testing in R

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

4 hours Probability & Statistics Richie Cotton Course

Foundations of Probability in R

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

4 hours Probability & Statistics David Robinson Course

A/B Testing in Python

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

4 hours Probability & Statistics Moe Lotfy, PhD 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

Forecasting in R

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

5 hours Probability & Statistics Rob J. Hyndman Course

Foundations of Inference in Python

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

4 hours Probability & Statistics Paul Savala 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

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

Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

4 hours Probability & Statistics David S. Matteson Course

ARIMA Models in R

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

4 hours Probability & Statistics David Stoffer 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

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

Generalized Linear Models in R

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

4 hours Probability & Statistics Richard Erickson 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

Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

4 hours Probability & Statistics Eric Eager 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

Bayesian Data Analysis in Python

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

4 hours Probability & Statistics Michał Oleszak Course

Modeling with Data in the Tidyverse

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

4 hours Probability & Statistics Albert Y. Kim Course

Hierarchical and Mixed Effects Models in R

In this course you will learn to fit hierarchical models with random effects.

4 hours Probability & Statistics Richard Erickson Course

Network Analysis in R

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

4 hours Probability & Statistics JAMES CURLEY Course

Fundamentals of Bayesian Data Analysis in R

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hours Probability & Statistics Rasmus Bååth Course

Analyzing Survey Data in R

Learn survey design using common design structures followed by visualizing and analyzing survey results.

4 hours Probability & Statistics Kelly McConville Course

Inference for Numerical Data in R

In this course you'll learn techniques for performing statistical inference on numerical data.

4 hours Probability & Statistics Mine Cetinkaya-Rundel Course

Foundations of Inference in R

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hours Probability & Statistics Jo Hardin Course

Experimental Design in R

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

4 hours Probability & Statistics Joanne Xiong 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

Error and Uncertainty in Google Sheets

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

4 hours Probability & Statistics Evan Kramer Course

Structural Equation Modeling with lavaan in R

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

4 hours Probability & Statistics Erin Buchanan 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

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

Inference for Linear Regression in R

In this course you'll learn how to perform inference using linear models.

4 hours Probability & Statistics Jo Hardin Course

Case Study: Analyzing City Time Series Data in R

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

4 hours Probability & Statistics Lore Dirick 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
See 43 More Results

Analyze International Debt Statistics

Write SQL queries to answer interesting questions about international debt using data from The World Bank.

30 minutes Data Manipulation Maarten Van den Broeck Project guided

Do Left-handed People Really Die Young?

Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.

45 minutes Data Manipulation, Data Visualization... Madeleine Bonsma-Fisher Project guided

Exploring NYC Public School Test Result Scores

Use data manipulation and summary statistics to analyze test scores across New York City's public schools!

30 minutes Exploratory Data Analysis George Boorman Project guided

Modeling the Volatility of US Bond Yields

Discover how the US bond yields behave using descriptive statistics and advanced modeling.

45 minutes Data Visualization, Applied Finance József Soltész Project guided

Kidney Stones and Simpson's Paradox

Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

45 minutes Data Visualization, Probability & Statistics... Amy Yang Project guided

Health Survey Data Analysis of BMI

Analyze health survey data to determine how BMI is associated with physical activity and smoking.

45 minutes Data Manipulation, Probability & Statistics... Jessica Minnier Project guided

Explore 538's Halloween Candy Rankings

Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!

60 minutes Data Visualization, Probability & Statistics... Nick Solomon Project guided

Real-time Insights from Social Media Data

Learn to analyze Twitter data and do a deep dive into a hot trend.

45 minutes Data Manipulation, Data Visualization... Samia Khalid Project guided

Disney Movies and Box Office Success

Explore Disney movie data, then build a linear regression model to predict box office success.

45 minutes Data Manipulation, Data Visualization... Sirinda Palahan Project guided

Analyze Your Runkeeper Fitness Data

Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.

45 minutes Data Manipulation, Data Visualization... Andrii Pavlenko Project guided

Are You Ready for the Zombie Apocalypse?

Use your logistic regression skills to protect people from becoming zombies!

45 minutes Data Manipulation, Data Visualization... Jenine Harris 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, Data Visualization... Lavanya Gupta Project guided

Extract Stock Sentiment from News Headlines

Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.

45 minutes Data Manipulation, Data Visualization... Juan González-Vallinas Project guided

Book Recommendations from Charles Darwin

Build a book recommendation system using NLP and the text of books like "On the Origin of Species."

45 minutes Data Manipulation, Data Visualization... Philippe Julien Project guided

Gender Bias in Graduate Admissions

Analyze admissions data from UC Berkeley and find out if the university was biased against women.

45 minutes Data Manipulation, Data Visualization... Joshua Feldman Project guided

Going Down to South Park: A Text Analysis

Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language.

45 minutes Data Manipulation, Data Visualization... Patrik Drhlík Project guided

A Text Analysis of Trump's Tweets

Apply text mining to Donald Trump's tweets to confirm if he writes the (angrier) Android half.

45 minutes Data Manipulation, Data Visualization... David Robinson Project guided

Which Debts Are Worth the Bank's Effort?

Play bank data scientist and use regression discontinuity to see which debts are worth collecting.

45 minutes Data Manipulation, Data Visualization... Howard Friedman Project guided

Who's Tweeting? Trump or Trudeau?

Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!

60 minutes Data Manipulation, Data Visualization... Katharine Jarmul Project guided

What Your Heart Rate Is Telling You

Examine the relationship between heart rate and heart disease using multiple logistic regression.

60 minutes Data Manipulation, Data Visualization... Amy Yang Project guided

Partnering to Protect You from Peril

Examine the network of connections among local health departments in the United States.

60 minutes Data Manipulation, Data Visualization... Jenine Harris Project guided

Dr. Semmelweis and the Discovery of Handwashing

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

60 minutes Data Manipulation, Data Visualization... Rasmus Bååth Project guided

Hypothesis Testing in Healthcare

Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!

1 hour Python Programming, Data Manipulation... Mark Edosa 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, Data Visualization... Lavanya Gupta Project guided

Find Movie Similarity from Plot Summaries

Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.

45 minutes Data Manipulation, Data Visualization... Anubhav Singh 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, Data Visualization... Lars Hulstaert Project guided

Text Mining America's Toughest Game Show

Use text mining to analyze Jeopardy! data.

45 minutes R Programming, Python Programming... Alexis Lee Project guided

Word Frequency in Classic Novels

Use web scraping and NLP to find the most frequent words in one of two pieces of classic literature: Herman Melville's novel, Moby Dick, or Peter Pan by J. M. Barrie.

45 minutes R Programming, Python Programming... Hugo Bowne-Anderson Project guided

Planning Public Policy in Argentina

Apply unsupervised learning techniques to help plan an education program in Argentina.

45 minutes Data Manipulation, Data Visualization... Rafael La Buonora Project guided

Phyllotaxis: Draw Flowers Using Mathematics

Use R to make art and create imaginary flowers inspired by nature.

45 minutes Data Visualization, Case Studies Antonio Sánchez Chinchón Project guided

Evaluate a Manufacturing Process

Identify issues in a manufacturing process using SQL window functions and subqueries

1 hour Data Manipulation Jasmin Ludolf Project guided

Name Game: Gender Prediction using Sound

Analyze the gender distribution of children's book writers and use sound to match names to gender.

45 minutes Case Studies Tufool Alnuaimi Project guided

Reducing Traffic Mortality in the USA

How can we find a good strategy for reducing traffic-related deaths?

60 minutes Data Manipulation, Data Visualization... Joel Östblom Project guided

Technology

Topic