Data Analytics Python Course
What will I learn?
Opən di get to di powa fɔ data wit wi Data Analitik wit Python Kos, we wi mek spesheli fɔ Biznɛs Intɛlijɛns pipul dɛm. Go insai Python fɔ manej data, lan aw fɔ eksplɔ di data we de ɛp fɔ si tin dɛn, ɛn mek fayn fayn pikchɔ wit Matplotlib ɛn Seaborn. Lan aw fɔ shebɔp pipul dɛm, luk fɔ tɛm we tin dɛn de go, ɛn lan aw fɔ yuz masin we de lan fɔ tɛl usɛf us tin dɛm go bi fɔ sel. Gɛt skil fɔ mek daynamik dashbɔd ɛn rayt shɔt shɔt ripɔt dɛm, ɔl insai shɔt tɛm, we i fayn fayn ɛn we yu go praktis bɔku.
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Masta EDA: Faind out tin dɛn we yu nɔ bin no wit data pikchɔ ɛn no aw tin dɛm de wok.
Shebɔp Pipul dɛm: Luk gud gud wan aw pipul dɛm de liv ɛn aw kɔstɔmɔ dɛm de biev fɔ mek yu no us pipul dɛm yu go fɛt.
Mek Data Pikchɔ: Mek fayn fayn chart ɛn dashbɔd wit Matplotlib ɛn Seaborn.
Python Prowɛs: Manej data yuzin Pandas ɛn ɔl di impɔtant Python laybreri dɛm.
Fɔkɔst Tin dɛm: Du tɛm siriɔs analaysis fɔ mek yu no aw biznɛs go go.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.