Datacamp
DataCamp is an interactive learning platform for data science. Learn R, Python, SQL & Spark from the comfort of your browser with over 100+ courses featuring high-quality video, in-browser coding, and gamification. Courses are taught by experts and range from importing data, data visualization, machine learning, deep learning & more. Looking to train your employees with crucial data science skills? DataCamp for Business is the most scalable, cost effective way for managers to train and educate their analytics and data science teams. Business accounts include group features which allow managers to set assignments based on specific learning goals, monitor progress, and evaluate performance - all in a company dedicated dashboard. Hundreds of companies leverage DataCamp for training new hires, transitioning from commercial to open source software, and for continuous education including clients such as eBay, BCI, Harvard, and GfK. Millions of individuals use DataCamp to become data savvy. Join them for free: www.DataCamp.com
E-Learning
50 - 200
New York, NY, United States
About

DataCamp is an interactive learning platform for data science. Learn R, Python, SQL & Spark from the comfort of your browser with over 100+ courses featuring high-quality video, in-browser coding, and gamification. Courses are taught by experts and range from importing data, data visualization, machine learning, deep learning & more.

Looking to train your employees with crucial data science skills? DataCamp for Business is the most scalable, cost effective way for managers to train and educate their analytics and data science teams. Business accounts include group features which allow managers to set assignments based on specific learning goals, monitor progress, and evaluate performance - all in a company dedicated dashboard. Hundreds of companies leverage DataCamp for training new hires, transitioning from commercial to open source software, and for continuous education including clients such as eBay, BCI, Harvard, and GfK.

Millions of individuals use DataCamp to become data savvy. Join them for free: www.DataCamp.com

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  • 7499
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  • 6.51 M Estimated Visits
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  • Display
    0.54%
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Mobile App Data
MixRank is the most comprehensive database of mobile apps, developers, SDKs, technologies, services, and integrations. Learn more.
  • 10 SDKs
  • 4.82 Avg. Rating
  • 123 Total reviews
  • App Url: https://itunes.apple.com/app/datacamp/id1263413087
  • App Support: https://www.datacamp.com/contact-us
  • Genre: Education
  • Bundle ID: com.datacamp
  • App Size: 23.9 M
  • Version: 38.0.0
  • Release Date: October 18th, 2017
  • Update Date: June 15th, 2021

Description:

DataCamp for Mobile is the easiest way to build data science skills at your own pace with the highest-quality learning content taught by expert instructors—in just five minutes a day!

DataCamp for Mobile is designed for all skill levels, and offers the most in-depth content available in the app store to learn Python, R, and SQL. We know that coding on the go is different from a desktop experience, which is why all of our DataCamp for Mobile content is fully optimized for seamless practice on mobile devices. Plus, our gamified app makes mastering data science and analytics actually fun! DataCamp for Mobile is also the best way to keep your skills sharp when you’re learning on your own—our personalized instant feedback system lets you learn from your mistakes and reinforce new skills.

With a DataCamp for Mobile subscription, you’ll benefit from:
* Convenience—the easiest way to build data science and analytics skills on mobile.
* Quality—we offer the highest quality content to learn data science and analytics on mobile.
* Flexibility—our content is designed for all skill levels so you can learn at your own pace anytime, anywhere.
* Fun—we know how to make learning a fun experience!
* Extra practice—reinforce your skills through short practice sessions.

We are continuously launching new content, including new practice workouts, flashcards, courses, and lessons.

**************************
What You’ll Learn
**************************
Learn to code with Python
* Introduction to Python: Master the basics of data science using the Python programming language and the NumPy package for scientific computing.
* Intermediate Python: Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
* 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.
* Python Data Science Toolbox (Part 2): Continue to build your modern data science skills by learning about iterators and list comprehensions.
* Introduction to Importing Data in Python: Learn to import data into Python from various sources, such as Excel, SQL, SAS, and right from the web.
* Data Manipulation with pandas: Use the world’s most popular Python data science package to manipulate data and calculate summary statistics.

Learn to code with SQL
* Introduction to SQL: Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.
* Joining Data in SQL: Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
* 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.
* PostgreSQL Summary Stats and Window Functions: Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
* Functions for Manipulating Data in PostgreSQL: Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
* Topics include selecting columns, filtering rows, aggregate functions, sorting, grouping, and joins.

Learn to code with the R programming language
* R is a programming language built specifically for working with data.
* R is popular among researchers and statisticians and has a vast collection of community-contributed packages.
* Introduction to R: Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.
* Intermediate R: Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
* 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.

Terms of use: https://www.datacamp.com/terms-of-use/

Daily Downloads Nov 01 - 30, 2024

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ilkerrsag

Dec 19, 2019

We need more chapters!

I can not find learning chapters after importing data part 1 in practise of python section. Please add more chapters so that we can continue to learn!

janandcookies777456

Dec 18, 2019

Non usable

The instructions arent even clear Worse app ever.

Phardzy

Dec 18, 2019

Gerald Mukere

One of the best apps for beginners, it's a must have. It takes you through all basic concepts and engages you through out the lesson. It's for you not to grasp

Dude from 51

Dec 11, 2019

Review from the savanna

Talk about an addictive learning app that’s not even a game.

Ono0629

Dec 10, 2019

Great app

Great app. Thanks Data Camp team.

ju2da10

Dec 09, 2019

Review and testing

Although the app is not that suitable for actually programming it is quite useful for testing for knowledge once you finishing a program
AVFoundation
The AV Foundation framework provides an Objective-C interface for managing and playing audio-visual media in iOS and OS X applications.
Core Foundation Framework
Core Foundation is a framework that provides fundamental software services useful to application services, application environments, and to applications themselves. Core Foundation also provides abstractions for common data types, facilitates internationalization with Unicode string storage, and offers a suite of utilities such as plug-in support, XML property lists, URL resource access, and preferences.
Core Graphics
The Core Graphics framework is based on the Quartz advanced drawing engine. It provides low-level, lightweight 2D rendering with unmatched output fidelity. You use this framework to handle path-based drawing, transformations, color management, offscreen rendering, patterns, gradients and shadings, image data management, image creation, and image masking, as well as PDF document creation, display, and parsing.
Core Location Framework
The Core Location framework lets you determine the current location or heading associated with a device. The framework uses the available hardware to determine the user’s position and heading. You use the classes and protocols in this framework to configure and schedule the delivery of location and heading events. You can also use it to define geographic regions and monitor when the user crosses the boundaries of those regions. In iOS, you can also define a region around a Bluetooth beacon.
Foundation Framework
The Foundation framework provides a base layer of functionality for apps and frameworks, including data storage and persistence, text processing, date and time calculations, sorting and filtering, and networking. The classes, protocols, and data types defined by Foundation are used throughout the macOS, iOS, watchOS, and tvOS SDKs.
Launch Services
macOS Launch Services is an API that enables a running app to open other apps or their document files, similar to the Finder or the Dock.Launch Services eliminates apps having to query the Finder to open an app, document, or URL for them. The macOS Finder itself uses Launch Services to perform such tasks. Because the Finder performs no additional processing beyond calling Launch Services, any client using Launch Services for these purposes behaves identically to the Finder.
MobileCoreServices
Use uniform type identifier (UTI) information to create and manipulate data that can be exchanged between your app and other apps and services using MobileCoreServices.
Quartz Core Framework
Allow users to browse, edit, and save images, using slideshows and Core Image filters.The Quartz Composer API supports processing and rendering graphical data and allows developers to create custom patches for the Quartz Composer developer tool. ImageKit provides user interface support for browsing, editing, and saving images, showing slideshows, and browsing and previewing Core Image filters. PDFKit is a technology that allows applications to display and manipulate PDF documents.
System Configuration F...
This collection of documents describes the programming interfaces of the System Configuration framework. The System Configuration framework provides functions that determine the reachability of target hosts in both a synchronous and an asynchronous manner. It also provides error detection facilities.
UIKit
The UIKit framework (UIKit.framework) provides the crucial infrastructure needed to construct and manage iOS apps. This framework provides the window and view architecture needed to manage an app’s user interface, the event handling infrastructure needed to respond to user input, and the app model needed to drive the main run loop and interact with the system.
Data sourced from MixRank, the most comprehensive database of mobile apps, developers, SDKs, technologies, services, and integrations. Learn More.
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Datacamp
Datacamp receives up to 15M pageviews per day, in countries such as Viet Nam, India, Indonesia, Egypt, Singapore, Thailand, Bangladesh, Turkey, Malaysia, Russia, Israel, Taiwan, Spain, Pakistan, Cameroon, United States, Hong Kong, Iran, Australia, Norway, Poland, Switzerland, Nigeria, Uganda, United Arab Emirates, Argentina, United Kingdom, South Korea, Brazil, Italy, Czech Republic, South Africa, Denmark, Netherlands, Canada, Peru, Germany.

They are headquartered at New York, NY, United States, and have 3 advertising & marketing contacts listed on Kochava. Datacamp works with Advertising technology companies such as DoubleClick.Net, AppNexus, AdRoll, AppNexus Segment Pixel, Twitter Ads, Facebook Exchange FBX, Openads/OpenX, Yahoo Small Business, IponWeb BidSwitch, Facebook Custom Audiences, Rubicon Project, LinkedIn Ads, Bizo, Google Remarketing, Drawbridge, Taboola, Microsoft Advertising, SiteSense, Google Adsense, Google Adsense for Domains, Impact, Snap Pixel, Reddit Ads, Avocet, SmarterClick.