*Statistical* Thinking in Python (Part 1)

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

118 results
for "statistical "

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

3 hours
Probability & Statistics
Justin Bois
Course

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

4 hours
Probability & Statistics
Justin Bois
Course

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

4 hours
Probability & Statistics
Tushar Shanker
Course

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

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

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

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

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

4 hours
Probability & Statistics
DataCamp Content Creator
Course

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

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

4 hours
Probability & Statistics
Maggie Matsui
Course

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

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

5 hours
Case Studies
Ben Teusch
Course

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

4 hours
Probability & Statistics
Víctor Medina
Course

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

4 hours
Probability & Statistics
Andrew Bray
Course

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

4 hours
Probability & Statistics
Mine Cetinkaya-Rundel
Course

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

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

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

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

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

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

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

4 hours
Probability & Statistics
Jo Hardin
Course

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

4 hours
Probability & Statistics
Richie Cotton
Course

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

4 hours
Probability & Statistics
Richie Cotton
Course

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

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

4 hours
Probability & Statistics
Mine Cetinkaya-Rundel
Course

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

4 hours
Probability & Statistics
Kathrin Gruber
Course

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

Learn complex data visualization techniques using Matplotlib and seaborn.

4 hours
Data Visualization
Team Anaconda
Course

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

4 hours
Machine Learning
Verena Pflieger
Course

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

4 hours
Probability & Statistics
David Robinson
Course

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

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

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

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

4 hours
Data Visualization
Erin Case
Course

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

4 hours
Probability & Statistics
Luke Hayden
Course

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

4 hours
Probability & Statistics
Rob Reider
Course

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

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

4 hours
Data Visualization
Rick Scavetta
Course

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

4 hours
Programming
Matt Dowle
Course

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

4 hours
Data Manipulation
Richie Cotton
Course

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

4 hours
Probability & Statistics
Andrew Bray
Course

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

4 hours
Probability & Statistics
Ben Baumer
Course

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 to add multiple variables to linear models and to use logistic regression for classification.

4 hours
Probability & Statistics
Ben Baumer
Course

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

4 hours
Probability & Statistics
David S. Matteson
Course

Explore Linear Regression in a tidy framework.

4 hours
Probability & Statistics
Albert Y. Kim
Course

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

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

45 minutes
Data Visualization, Applied Finance
József Soltész
Project
guided

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

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

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

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

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

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

45 minutes
Case Studies
Rasmus Bååth
Project
guided

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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