Statistics Learning for Data Science - vital terms Application icon

Statistics Learning for Data Science - vital terms 1.1

1.6 MB / 10+ Downloads / Rating 5.0 - 1 reviews


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Statistics Learning for Data Science - vital terms, developed and published by Concept Apps World, has released its latest version, 1.1, on 2020-08-26. This app falls under the Education category on the Google Play Store and has achieved over 1000 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

Statistics Learning for Data Science - vital terms APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.1+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Details

Package name: com.androidassist.datascience.statisticslearning

Updated: 4 years ago

Developer Name: Concept Apps World

Category: Education

New features: Show more

Installation Instructions

This article outlines two straightforward methods for installing Statistics Learning for Data Science - vital terms on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Reviews

5 ★, on 2020-01-27
great app for learning. easy and simple to use. Nice 😊

5 ★, on 2020-07-13
Good app

Previous Versions

Statistics Learning for Data Science - vital terms 1.1
2020-08-26 / 1.6 MB / Android 4.1+

About this app

Data science, Machine Learning and Artificial intelligence is now a days on top demand and future is also bright in this segment.
Statistics is crucial part to start learning in in this field.
Terms used in statistics is very strange and hard to understand for beginners, so we tried our best to explain these terms in very easy language for Novice, Intermediate or Advanced level guys in Data Science, Machine Learning, AI field.
Here we covered so many terms used in statistics like -
✤ Hypotheses
✤ Quantitative methods
✤ Qualitative methods
✤ Independent and Dependent variables
✤ Predictor and Outcome variables
✤ Categorical variables
✤ Binary variable
✤ Nominal variable
✤ Ordinal variable
✤ Continuous variable
✤ Interval variable
✤ Ratio variable
✤ Discrete variable
✤ Confounding variables
✤ Measurement error
✤ Validity and Reliability
✤ Two methods of data collection
✤ Types of variation
✤ Unsystematic variation
✤ Systematic variation
✤ Frequency distribution
✤ The Mean
✤ The Median
✤ The Mode
✤ Dispersion in distribution of Data
✤ Range
✤ Interquartile range
✤ Quartiles
✤ Probability
✤ Standard deviation

If you are going to build your career in this field above terms are vital for you to get better job opportunities.
These terms are explained in so much details in books or on internet, and people don't like to read that much, they want to understand things in few words and that is what we tried here with examples, if you feel you want more detail or examples, please give us your suggestions and we will keep improving our app.

Basically Data Science is –

Also known as data-driven science. Scientific methods, processes, algorithms to extract knowledge or insights from different format of data such as structured (ex. sheets) or unstructured (ex. Images, videos).

New features

Hypothesis explained more including
Types of Hypothesis :
Null hypothesis
Alternate hypothesis