*Data* *Science* for Everyone

An introduction to *data* *science* with no coding involved.

67 results
for "Data science"

An introduction to *data* *science* with no coding involved.

2 hours
Other
Hadrien Lacroix
Course

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

2 hours
Management
Michael Chow
Course

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

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

4 hours
Programming
Hugo Bowne-Anderson
Course

Dive into *data* *science* using Python and learn how to effectively analyze and visualize your *data*. No coding experience or skills needed.

4 hours
Programming
Hillary Green-Lerman
Course

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

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

4 hours
Programming
Dibya Chakravorty
Course

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

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

4 hours
Programming
Hugo Bowne-Anderson
Course

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

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

4 hours
Data Manipulation
Richie Cotton
Course

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

4 hours
Machine Learning
Verena Pflieger
Course

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

2 hours
Data Engineering
Hadrien Lacroix
Course

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

4 hours
Programming
Martin Skarzynski
Course

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

4 hours
Programming
Adam Spannbauer
Course

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

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

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

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

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

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

4 hours
Case Studies
Peter Bull
Course

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

4 hours
Data Manipulation
DataCamp Content Creator
Course

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

4 hours
Programming
Team ThinkR
Course

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

4 hours
Case Studies
Jill Rosok
Course

Learn how to approach and win competitions on Kaggle.

4 hours
Machine Learning
Yauhen Babakhin
Course

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

4 hours
Reporting
Elaine McVey
Course

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

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

4 hours
Data Visualization
Nicholas Strayer
Course

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

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

4 hours
Data Visualization
Thomas Vincent
Course

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

4 hours
Programming
Charlotte Wickham
Course

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

4 hours
Programming
Hugo Bowne-Anderson
Course

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

4 hours
Programming
Justin Kiggins
Course

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

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

4 hours
Reporting
Lucy D’Agostino McGowan
Course

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

4 hours
Data Manipulation
Aaren Stubberfield
Course

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

4 hours
Importing & Cleaning Data
Thomas Laetsch
Course

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

4 hours
Data Visualization
Chris Moffitt
Course

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

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

Learn to build pipelines that stand the test of time.

4 hours
Machine Learning
Christoforos Anagnostopoulos
Course

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

4 hours
Probability & Statistics
Richard Erickson
Course

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

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

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

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

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

4 hours
Programming
Richie Cotton
Course

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

4 hours
Programming
Jonathan Cornelissen
Course

In this course, you'll learn how to collect Twitter *data* and analyze Twitter text, networks, and geographical origin.

4 hours
Data Manipulation
Alex Hanna
Course

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

5 hours
Probability & Statistics
Alexander A. Ramírez M.
Course

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

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

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

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

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

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