93 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 Spreadsheets

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

#### 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

#### 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

#### 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

#### 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 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

#### Intermediate Regression in R

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

4 hours Probability & Statistics Richie Cotton 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

#### 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

#### 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

#### 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

#### 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

#### 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

#### 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

#### 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

#### 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

#### 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

#### 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

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

4 hours Probability & Statistics Joanne Xiong 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

#### 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

#### 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

#### 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

#### 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

#### 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

#### 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

#### 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

#### Survival Analysis in R

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

4 hours Probability & Statistics Heidi Seibold 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

#### 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

#### Monte Carlo Simulations in Python

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

4 hours Probability & Statistics Izzy Weber 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

#### 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

#### Inference for Categorical Data in R

In this course you'll learn how to leverage statistical techniques for working with categorical data.

4 hours Probability & Statistics Andrew Bray Course

#### Performing Experiments in Python

4 hours Probability & Statistics Luke Hayden 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

#### 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

#### Factor Analysis in R

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

4 hours Probability & Statistics Jennifer Brussow Course

#### Case Studies: Network Analysis in R

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

4 hours Probability & Statistics Ted Hart 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

#### Error and Uncertainty in Spreadsheets

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

#### Statistical Simulation in Python

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

4 hours Probability & Statistics Tushar Shanker Course

#### Nonlinear Modeling with Generalized Additive Models (GAMs) in R

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

4 hours Probability & Statistics DataCamp Content Creator 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
See 19 More Results

#### 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 Probability & Statistics, Data Manipulation... Madeleine Bonsma-Fisher 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 Probability & Statistics, Data Visualization... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Visualization... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... Andrii Pavlenko Project guided

#### Trends in Maryland Crime Rates

Apply hierarchical and mixed-effect models to analyze Maryland crime rates.

45 minutes Probability & Statistics, Data Manipulation... Richard Erickson Project guided

#### Are You Ready for the Zombie Apocalypse?

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

45 minutes Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... Philippe Julien Project guided

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

45 minutes Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Python Programming... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... 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 Probability & Statistics, Data Manipulation... Lars Hulstaert Project guided