97 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

#### Spatial Statistics in R

Learn how to make sense of spatial data and deal with various classes of statistical problems associated with it.

4 hours Probability & Statistics Barry Rowlingson 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 Statistical Modeling in R

This course is designed to get you up to speed with the most important and powerful methodologies in statistics.

4 hours Probability & Statistics Daniel Kaplan Course

#### Exploratory Data Analysis in Python

Learn how to explore, visualize, and extract insights from data.

4 hours Probability & Statistics Allen Downey Course

#### Exploratory Data Analysis in R

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours Probability & Statistics Andrew Bray 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 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 in Python.

4 hours Probability & Statistics Maarten Van den Broeck 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

#### Hypothesis Testing in R

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

4 hours Probability & Statistics Richie Cotton Course

#### Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hours Probability & Statistics Albert Y. Kim Course

#### Intermediate Regression in R

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

4 hours Probability & Statistics Richie Cotton Course

#### Exploratory Data Analysis in Power BI

Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.

3 hours Probability & Statistics Maarten Van den Broeck 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

#### 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

#### Time Series Analysis in Python

In this course you'll learn the basics of analyzing time series data.

4 hours Probability & Statistics Rob Reider 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

#### 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

#### 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

#### Forecasting in R

Learn how to make predictions about the future using time series forecasting in R.

5 hours Probability & Statistics Rob J. Hyndman 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

#### Foundations of Inference

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

#### 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

#### 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

#### 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

#### 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

#### 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

#### Monte Carlo Simulations in Python

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

4 hours Probability & Statistics Izzy Weber 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

#### Factor Analysis in R

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

4 hours Probability & Statistics Jennifer Brussow 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

#### 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

#### Statistical Simulation in Python

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

4 hours Probability & Statistics Tushar Shanker 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

#### 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

#### 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

#### Network Analysis in R

In this course you'll learn to analyze and visualize network data with the igraph package.

4 hours Probability & Statistics JAMES CURLEY 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

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

4 hours Probability & Statistics kaelen medeiros 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

#### 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

#### Case Studies in Statistical Thinking

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

4 hours Probability & Statistics Justin Bois Course

#### Introduction to A/B Testing in R

Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.

4 hours Probability & Statistics DataCamp Content Creator Course
See 24 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

#### 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