123 results for "statistical "

#### 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

#### 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

#### Statistical Simulation in Python

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

4 hours Probability & Statistics Tushar Shanker Course

#### Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

4 hours Probability & Statistics Daniel Kaplan 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

#### 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

#### Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

4 hours Applied Finance Lore Dirick Course

#### Anomaly Detection in R

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

4 hours Probability & Statistics DataCamp Content Creator 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 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 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 EDWARD KWARTLER Course

#### Human Resources Analytics: Exploring Employee Data in R

Manipulate, visualize, and perform statistical tests on HR data.

5 hours Case Studies Ben Teusch Course

#### Mixture Models in R

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

4 hours Probability & Statistics Víctor Medina 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

#### 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

#### Intermediate Importing Data in R

Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

3 hours Importing & Cleaning Data Filip Schouwenaars 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

#### 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

#### 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

#### Designing and Analyzing Clinical Trials in R

In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.

4 hours Probability & Statistics Tamuno Alfred 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

#### 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

#### 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

#### Intermediate Regression in R

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

4 hours Probability & Statistics Richie Cotton 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

#### 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

#### 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

#### Introduction to Data in R

Learn the language of data, study types, sampling strategies, and experimental design.

4 hours Probability & Statistics Mine Cetinkaya-Rundel Course

#### Building Response Models in R

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

4 hours Probability & Statistics Kathrin Gruber Course

#### Introduction to Importing Data in R

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

3 hours Importing & Cleaning Data Filip Schouwenaars Course

#### Introduction to Data Visualization in Python

Learn complex data visualization techniques using Matplotlib and seaborn.

4 hours Data Visualization Team Anaconda Course

#### Machine Learning for Marketing Analytics in R

In this course you'll learn how to use data science for several common marketing tasks.

4 hours Machine Learning Verena Pflieger 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

#### Handling Missing Data with Imputations in R

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

4 hours Data Manipulation Michał Oleszak 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

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

4 hours Probability & Statistics kaelen medeiros Course

#### Factor Analysis in R

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

4 hours Probability & Statistics Jennifer Brussow Course

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

5 hours Applied Finance Ilya Kipnis Course

#### Introduction to Data Visualization with Seaborn

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

4 hours Data Visualization Erin Case Course

4 hours Probability & Statistics Luke Hayden 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

#### 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

#### 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 data.table in R

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

4 hours Programming Matt Dowle Course

#### Data Manipulation with pandas

Use the world’s most popular Python data science package to manipulate data and calculate summary statistics.

4 hours Data Manipulation Richie Cotton 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

#### Correlation and Regression in R

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

4 hours Probability & Statistics Ben Baumer Course

#### Multiple and Logistic Regression in R

In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.

4 hours Probability & Statistics Ben Baumer Course
See 43 More Results

#### 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

#### Trends in Maryland Crime Rates

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

45 minutes Data Manipulation, Data Visualization... Richard Erickson 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

#### 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

#### 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

#### Mobile Games A/B Testing with Cookie Cats

Analyze an A/B test from the popular mobile puzzle game, Cookie Cats.

45 minutes Case Studies Rasmus Bååth 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

#### 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

#### Analyze International Debt Statistics

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

45 minutes Data Manipulation, Importing & Cleaning Data Sayak Paul 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

#### 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

#### 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 understand 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

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

#### 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

#### 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

#### 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

#### 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

#### 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