DataAnalytics for Beginners

Atul Kumar Soni at BIIT Computer Education

Mayelana nalolu hlelo lokusebenza

##### I-DataAnalytics yabaqalayo ######

Lolu hlelo lokusebenza luhlanganisa yonke imiqondo abahleli abayidingayo ukuze bathuthukise amakhono abo:

 Iqukethe 750+ izinhlelo zokufunda ne-algorithm ezinekhodi yomthombo.
 Iqukethe ikhodi yomthombo wezinhlelo kuphela nezifinyezo eziphumayo (ayiqukethe ithiyori, ngokombono kunezincwadi eziningi ezitholakalayo).
 Sisebenzisa i-Python Interpreter namalabhulali ku-DataAnalytics Programming.
 Sisebenzisa umhleli wombhalo i-PyCharm, edumile phakathi kwabaqalayo nabachwepheshile futhi isebenza kahle kuwo wonke amasistimu wokusebenza.
 Isahluko ngasinye siqukethe iqoqo elihlelwe kahle nelihlelekile lezinhlelo.
 Lolu hlelo lokusebenza luzoba usizo kakhulu kwabaqalayo, othisha nabaqeqeshi bohlelo lwe-DataAnalytics.
 Sisebenzisa amagama aguquguqukayo amancane noma izihlonzi ukuze afundeke kangcono kumidiya yedijithali njenge-kindle, ipad, ithebhu neselula.
 Lolu hlelo lokusebenza luqukethe indlela elula kakhulu yokubhala ikhodi.
 Indlela elula isetshenziswa ukuhlela izinhlelo zabaqalayo kanye nabachwepheshe.


-------- ISICI ----------

- Iqukethe 750+ DataAnalytics Tutorial Izinhlelo ezinomphumela.
- I-interface yomsebenzisi elula kakhulu (i-UI).
- Izibonelo zesinyathelo ngesinyathelo ukuze ufunde i-DataAnalytics Programming.
- Lolu hlelo lokusebenza lokufunda lwe-DataAnalytics aluxhunyiwe ku-inthanethi ngokuphelele.
- Lolu hlelo lokusebenza luqukethe Izixhumanisi zazo zonke "Izinhlelo Zokufunda Zethu".


----- Incazelo yokufunda ye-DataAnalytics -----
[UHLU LWESEHLUKO]

1. Isingeniso sePython, Izinhlobo Zedatha Nabasebenzi
2. Ukukhethwa, Ukuphindaphinda & Nezintambo
3. Uhlu, I-Tuple, Isichazamazwi & Setha
4. Imisebenzi Yelabhulali, Imisebenzi, Amamojula namaphakheji
5. Amakilasi & Izinto kanye Nokuphatha Ifa kanye Nokuphatha Okuhlukile
6. Umsebenzi we-Lambda, Uhlu Lokuqondisisa, Imephu, Isihlungi kanye Nokunciphisa
7. NumPy Isingeniso
8. I-Array Creation & Izibaluli
9. Ukusebenza kwe-Arithmetic
10. Ukwenza inkomba nokusika
11. Imisebenzi Yezibalo
12. Imisebenzi yezintambo
13. Izibalo, Ukusesha & Ukuhlunga Imisebenzi
14. I-Indexing Ethuthukisiwe Nokusakaza
15. Ukuphathwa Kwezinhlu
16. Matplotlib Isingeniso
17. Amashadi Omugqa
18. I-scatter Charts
19. Amashadi Amabha
20. Amashadi kaphayi
21. Amashadi e-Histogram
22. Ibhokisi Amashadi Esakhiwo
23. Ukwenza ngokwezifiso Iziza / Amashadi
24. Pandas Isingeniso
25. Uchungechunge Izimfanelo & Izindlela
26. Ukwenza inkomba nokwehlukanisa ochungechungeni
27. Imisebenzi yochungechunge
28. Ukudalwa kwe-DataFrame & Izibaluli
29. Ukwenza inkomba, ukukhetha kanye nokufinyelela kudatha
30. I-DataFrame Iteration & Operations
31. Ukuthumela Nokungenisa Uhlaka Lwedatha
32. Ukusebenza Kwezibalo
33. Ukuphatha Idatha Elahlekile
34. Ukuhlanganisa nokuhlanganisa amaFramu eDatha
35. Amashadi Okuklama Nge-DataFrame


------- Iziphakamiso Zimenyiwe -------

Sicela uthumele iziphakamiso zakho mayelana nalolu hlelo lokusebenza lokufunda lwe-DataAnalytics nge-imeyili kokuthi [e-mail].

##### Sikufisela konke okuhle !!! #####

Yini entsha

- App contains Python, NumPy, Matplotlib & Pandas.
- Contains 750+ DataAnalytics Tutorial Programs with Output.
- Very simple User Interface (UI).
- Step by Step examples to learn DataAnalytics Programming.
- This DataAnalytics Learning App is completely OFFLINE.
- This App also contains Links for all "Our Learning Apps".