Data Science using R & Python offline tutorial APK
App information
Version 1.7-paid (#8)
Updated 2023-12-11
APK Size 4.7 MB
Requires Android Android 4.1+ (Jelly Bean)
Offered by Concept Apps World
Category Free Education App
App id com.androidassist.datascienceusingr.programminglanguage
Developer's notes R, Python and statistics tutorial for data science, machine learning and AI
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Download the latest Data Science using R & Python offline tutorial application, version 1.7-paid, compatible with Windows 10/11 (using emulators such as Bluestacks), Android devices. This free Education app is developed by Concept Apps World and is easy to download and install.
Previous versions, including 1.7-paid, are also available. If you need help or have any problems, please let us know.
Description
Data science is basically converting structured or unstructured data in to insight, understanding and knowledge using scientific methods, processes and algorithms.
R and Python are most common programming languages used in Data Science.
R is free open source language used as statistical and visualization software. It can deal with structured (organised) and semi-structured (semi-organised) data.
To learn R for data science we covered all aspects as follows:
✤ Introduction
✤ Data-Types in R
✤ Variables in R
✤ Operators in R
✤ Conditional Statements
✤ Loop statements
✤ Loop Control Statements
✤ R Script
✤ R Functions
✤ Custom Function
✤ Data Structures
• Atomic vectors
• Matrix
• Arrays
• Factors
• Data Frames
• List
✤ Import/Export Data – Assign values to data structure
✤ Data Manipulation/Transformation
✤ Apply function of Base R
✤ dplyr Package
For Python we covered following -
✤Environment setup and Essentials of Python
• Introduction and Environment Setup
• Variable assignment in Python
• Data Types in Python
• Data Structure: Tuple
• Data Structure: List
• Data Structure: Dictionary (Dict)
• Data Structure: Set
• Basic Operator: in
• Basic Operator: + (plus)
• Basic Operator: * (multiply)
• Functions
• Built-in Sequence Function in Python
• Control Flow Statements: if, elif, else
• Control Flow Statements: for Loops
• Control Flow Statements: while Loops
• Exception Handling
✤Mathematical Computation with NumPy in Python
• Types of Arrays
• Attributes of ndarray
• Basic Operations
• Accessing Array Element
• Copy and Views
• Universal Functions (ufunc)
• Shape Manipulation
• Broadcasting
• Linear Algebra
✤Data Manipulation with Pandas
• Why Pandas ?
• Data Structures
• Series – Creation
• Series – Access Element
• Series – Vectorizing operations
• DataFrame – Creation
• Viewing DataFrame
• Handling Missing Values
• Data Operations with Functions
• Statistical Functions for Data Operations
• Data Operation with GroupBy
• Data Operation: Sorting
• Data Operation: Merge, Duplicate, Concatenation
• SQL Operation in Pandas
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
• Mean
• Median
• Mode
• Dispersion in distribution of Data
• Range
• Interquartile range
• Quartiles
• Probability
• Standard deviation
Most important advantage of this app that complete material except sample project is available offline, sample project part is online because we keep adding it web based regular.
Online compiler on Mobile device, you can write code on mobile and run it to see output.
Simulation Test/Exam - Check your knowledge in Data Science by attempting this simulation exam, each question have 4 options and 1 correct answer.
App permissions
Data Science using R & Python offline tutorial 1.7-paid APK requires following permissions:
Allows applications to access information about networks.
Allows applications to open network sockets.
Ratings and Reviews
Rating: 4.4/5 based on Less than 100 reviews
(*) is required
5 ★ Great app! Helps me alot to understand the world of statistics by using AI
5 ★ A great way to learn the new language R in easy basic steps. Helps to build the fundamentals strong.
5 ★ Very nice and cool app if you are planing to learn R programming. You can almost learn during your walk.
5 ★ Love this app. As a new programmer it is really helping me learn everything.
5 ★ Nice learning app, user friendly and have so many info
5 ★ There are many useful information especially if you want to learn programming
5 ★ I like this offline tutorial app. App is good to use.
5 ★ That app is great. I can finally do my job and research even when I travel. Thank you
5 ★ A very good tutorial on programming in the R programming language
4 ★ App is good for learning. This app should be more informative
4 ★ I like the concept of the app. It is unique one.
5 ★ I like this app. This is working good for me
5 ★ Very well laid out. Thank you
5 ★ nice app
5 ★ Nice
Previous versions
Data Science using R & Python offline tutorial 1.7-paid APK for Windows (#8, 4.7 MB)
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