# DataAnalytics for Beginners

> DataAnalytics for Beginners (Learn by 750+ Programs)

Canonical page: [https://chrome-stats.com/d/com.easycoding.aks.dataanalytics?hl=ko](https://chrome-stats.com/d/com.easycoding.aks.dataanalytics?hl=ko)

## Overview

- **ID:** `com.easycoding.aks.dataanalytics`
- **Platform:** Android
- **Type:** Android app
- **Status:** Available
- **Publisher:** Atul Kumar Soni at BIIT Computer Education
- **Category:** EDUCATION
- **Version:** 1.0
- **Last updated:** 2024-07-26
- **First published:** 2024-07-25
- **Publisher country:** IN
- **Size:** 34 MB
- **Data as of:** 2026-09-06
- **Store listing:** [Google Play Store](https://play.google.com/store/apps/details?id=com.easycoding.aks.dataanalytics)
- **Privacy policy:** [https://sites.google.com/view/da-app/home](https://sites.google.com/view/da-app/home)

## Description

##### DataAnalytics for Beginners ######<br><br>This app covers all the concepts that the programmers need to develop their skills: <br> <br> Contains 750+ learning and algorithm  based programs with source code. <br> Contains only programs source code and output snapshots (it doesn’t contain any theory, for theory there are many books available).  <br> We use Python Interpreter and libraries for DataAnalytics Programming. <br> We use text editor PyCharm, which is popular among beginner and professional programmers and works well on all operating systems.  <br> Each chapter contains well planned and organized collection of programs.  <br> This app will also be very helpful for beginners, teachers and trainers of DataAnalytics programming.<br> We use small variable or identifier names for better readability in digital media like kindle, ipad, tab and mobile. <br> This app contains much simpler approach to coding. <br> A simpler approach is used to organize the programs for beginners as well as professional.  <br><br><br>-------- FEATURE ----------<br><br>- Contains 750+ DataAnalytics Tutorial Programs with Output.<br>- Very simple User Interface (UI).<br>- Step by Step examples to learn DataAnalytics Programming.<br>- This DataAnalytics Learning App is completely OFFLINE.<br>- This App also contains Links for all &quot;Our Learning Apps&quot;.<br><br><br>----- DataAnalytics Learning Description -----<br>[CHAPTER LIST] <br><br>1. Python Introduction, Data Types &amp; Operators <br>2. Selection, Iteration &amp; Strings <br>3. List, Tuple, Dictionary &amp; Set <br>4. Library Functions, Functions, Modules &amp; Packages <br>5. Classes &amp; Objects and Inheritance and Exception Handling  <br>6. Lambda Function, List Comprehension, Map, Filter and Reduce <br>7. NumPy Introduction <br>8. Array Creation &amp; Attributes <br>9. Arithmetic Operations <br>10. Indexing &amp; Slicing <br>11. Mathematical Functions <br>12. String Functions <br>13. Statistical, Searching &amp; Sorting Functions  <br>14. Advanced Indexing &amp; Broadcasting  <br>15. Array Manipulation <br>16. Matplotlib Introduction <br>17. Line Charts <br>18. Scatter Charts <br>19. Bar Charts <br>20. Pie Charts <br>21. Histogram Charts <br>22. Box Plot Charts <br>23. Customizing Plots / Charts <br>24. Pandas  Introduction <br>25. Series Attributes &amp; Methods <br>26. Indexing &amp; Slicing in Series <br>27. Series Operations <br>28. DataFrame Creation &amp; Attributes <br>29. Indexing, Selection &amp; Accessing Data <br>30. DataFrame Iteration &amp; Operations  <br>31. DataFrame Exporting &amp; Importing <br>32. Statistical Operations <br>33. Handling Missing Data <br>34. Combining &amp; Grouping DataFrames <br>35. Plotting Charts with DataFrame <br><br><br>------- Suggestions Invited -------<br><br>Please send your suggestions regarding this DataAnalytics Learning App by email at atul.soni09@gmail.com.<br><br>##### We wish you all the best !!! #####

## Rankings

- #3,185,249 — Overall

## Permissions and access

### Permissions

- `com.easycoding.aks.dataanalytics.DYNAMIC_RECEIVER_NOT_EXPORTED_PERMISSION`

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Source: [Chrome-Stats](https://chrome-stats.com/d/com.easycoding.aks.dataanalytics?hl=ko)
