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Full Stack Data Science Course
Unnu fi come unlock di power weh data have wid wi Full Stack Data Science Course. A fi business intelligence professional dem weh wahn sharpen dem skill, dis course tailor-made fi unnu. Dive deep inna predictive modelling, master how fi train, test, an' evaluate model dem. Learn fi connect data analysis wid web application dem smooth smooth, while unnu mek sure data safe. Unnu a go get di skill fi clean data, manage missing values, an' undastan' how data set up. Build web app dem using Flask and Django, an' explore data trend dem thru statistical method an' visualization. Come join wi mek wi tun data inna action weh unnu can use!
- Master predictive modelling: Train, test, an' evaluate machine learning model dem.
- Integrate data wid apps: Learn fi connect data analysis straight to web application dem.
- Clean an' preprocess data: Use different technique fi handle missing values an' how data set up.
- Develop web applications: Build user interface wid Flask an' Django framework dem.
- Conduct exploratory analysis: Visualize di trend dem an' spot customer behavior pattern dem.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Unnu fi come unlock di power weh data have wid wi Full Stack Data Science Course. A fi business intelligence professional dem weh wahn sharpen dem skill, dis course tailor-made fi unnu. Dive deep inna predictive modelling, master how fi train, test, an' evaluate model dem. Learn fi connect data analysis wid web application dem smooth smooth, while unnu mek sure data safe. Unnu a go get di skill fi clean data, manage missing values, an' undastan' how data set up. Build web app dem using Flask and Django, an' explore data trend dem thru statistical method an' visualization. Come join wi mek wi tun data inna action weh unnu can use!
Elevify advantages
Develop skills
- Master predictive modelling: Train, test, an' evaluate machine learning model dem.
- Integrate data wid apps: Learn fi connect data analysis straight to web application dem.
- Clean an' preprocess data: Use different technique fi handle missing values an' how data set up.
- Develop web applications: Build user interface wid Flask an' Django framework dem.
- Conduct exploratory analysis: Visualize di trend dem an' spot customer behavior pattern dem.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
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