69 results for "Data science"

Data Science for Everyone

An introduction to data science with no coding involved.

2 hours Other Hadrien Lacroix Course

Data Science for Business

Learn about data science and how can you use it to strengthen your organization.

2 hours Management Michael Chow Course

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours Programming Hugo Bowne-Anderson Course

Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

4 hours Programming Hugo Bowne-Anderson Course

Introduction to Data Science in Python

Dive into data science using Python and learn how to effectively analyze and visualize your data.

4 hours Programming Hillary Green-Lerman Course

Data Types for Data Science in Python

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

4 hours Programming Jason Myers Course

Unit Testing for Data Science in Python

Learn how to write unit tests for your Data Science projects in Python using pytest.

4 hours Programming Dibya Chakravorty 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

Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

4 hours Programming Hugo Bowne-Anderson Course

Analyzing Election and Polling Data in R

Learn R for data science by wrangling, visualizing, and modeling political data like polls and election results.

4 hours Case Studies G Elliott Morris 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

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

Data Engineering for Everyone

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

2 hours Data Engineering Hadrien Lacroix Course

Creating Robust Workflows in Python

Learn to develop a set of principles for your data science and software development projects.

4 hours Programming Martin Skarzynski Course

Software Engineering for Data Scientists in Python

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

4 hours Programming Adam Spannbauer Course

Intermediate SQL

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

4 hours Programming Mona Khalil Course

Working with Geospatial Data in Python

This course will show you how to integrate spatial data into your Python Data Science workflow.

4 hours Data Manipulation Joris Van den Bossche Course

Nonlinear Modeling in R with GAMs

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

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

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours Programming David Robinson Course

Case Study: School Budgeting with Machine Learning in Python

Learn how to build a model to automatically classify items in a school budget.

4 hours Case Studies Peter Bull Course

Joining Data with dplyr

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours Data Manipulation DataCamp Content Creator Course

Optimizing R Code with Rcpp

Use C++ to dramatically boost the performance of your R code.

4 hours Programming Team ThinkR Course

Analyzing Marketing Campaigns with pandas

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

4 hours Case Studies Jill Rosok Course

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

4 hours Machine Learning Yauhen Babakhin Course

Building Dashboards with flexdashboard

In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.

4 hours Reporting Elaine McVey Course

Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hours Machine Learning Dmitriy Gorenshteyn Course

Improving Your Data Visualizations in Python

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

4 hours Data Visualization Nicholas Strayer Course

Visualizing Time Series Data in Python

Visualize seasonality, trends and other patterns in your time series data.

4 hours Data Visualization Thomas Vincent Course

Importing and Managing Financial Data in Python

In this course, you'll learn how to import and manage financial data in Python using various tools and sources.

5 hours Applied Finance Stefan Jansen Course

String Manipulation with stringr in R

Learn how to pull character strings apart, put them back together and use the stringr package.

4 hours Programming Charlotte Wickham Course

Parallel Programming with Dask

Learn how to take the Python workflows you currently have and easily scale them up to large datasets without the need for distributed computing environments.

4 hours Data Manipulation Team Anaconda Course

Introduction to Python

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.

4 hours Programming Hugo Bowne-Anderson Course

Python for MATLAB Users

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

4 hours Programming Justin Kiggins Course

Visualization Best Practices in R

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

4 hours Data Visualization Nicholas Strayer Course

Building Dashboards with shinydashboard

In this course you'll learn to build dashboards using the shinydashboard package.

4 hours Reporting Lucy D’Agostino McGowan Course

Joining Data with pandas

Learn to combine data from multiple tables by joining data together using pandas.

4 hours Data Manipulation Aaren Stubberfield Course

Web Scraping in Python

Learn to retrieve and parse information from the internet using the Python library scrapy.

4 hours Importing & Cleaning Data Thomas Laetsch Course

Intermediate Data Visualization with Seaborn

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

4 hours Data Visualization Chris Moffitt Course

Interactive Data Visualization with Bokeh

Learn how to create versatile and interactive data visualizations using Bokeh.

4 hours Data Visualization Team Anaconda Course

R For SAS Users

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

4 hours Programming Melinda Higgins Course

Introduction to Natural Language Processing in R

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

4 hours Machine Learning Kasey Jones Course

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

4 hours Machine Learning Christoforos Anagnostopoulos 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

Cleaning Data in Python

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

4 hours Importing & Cleaning Data Adel Nehme Course

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

4 hours Machine Learning Zachary Deane-Mayer 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

Extreme Gradient Boosting with XGBoost

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hours Machine Learning Sergey Fogelson Course

Introduction to Writing Functions in R

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hours Programming Richie Cotton Course

Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.

4 hours Programming Jonathan Cornelissen Course
See 14 More Results

Data Science for Social Good: Crime Study

Use data science to catch criminals, plus find new ways to volunteer personal time for social good.

45 minutes Data Manipulation, Data Visualization... William Connell Project guided

Exploring the Kaggle Data Science Survey

Discover the top tools Kaggle participants use for data science and machine learning.

45 minutes Data Manipulation, Data Visualization... Amber Thomas Project guided

Investigating Netflix Movies and Guest Stars in The Office

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.

45 minutes Data Manipulation, Data Visualization... Justin Saddlemyer Project guided

Investigating Netflix Movies and Guest Stars in The Office

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.

45 minutes Data Manipulation, Data Visualization... Justin Saddlemyer Project unguided

Comparing Cosmetics by Ingredients

Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.

45 minutes Data Manipulation, Data Visualization... Jiwon Jeong Project guided