Full Stack Data Science Course
What will I learn?
Unlock the power of data with our Full Stack Data Science Training Programme. This programme be for people working in Business Intelligence who want to improve their skills. You go learn about making predictions with data models, how to train them, test them, and see if they good. You go fit connect your data analysis work to web applications easily and make sure your data safe. You go become expert in cleaning data, dealing with empty spaces in the data, and understanding how the data be arranged. You go learn how to build web applications using Flask and Django, and you go explore data to see what trends dey and understand what e dey tell you. Join us so you fit change data into things you can use to make good decisions.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master predictive modeling: Train, test, and evaluate machine learning models (Learn how to make predictions with data models: Train them, test them, and see if they good).
Integrate data with apps: Seamlessly connect data analysis to web applications (Connect your data analysis work to web applications easily).
Clean and preprocess data: Apply techniques to handle missing values and structures (Learn how to clean data and deal with empty spaces in the data and how the data be arranged).
Develop web applications: Build user interfaces with Flask and Django frameworks (Learn how to build user interfaces with Flask and Django).
Conduct exploratory analysis: Visualize trends and identify customer behavior patterns (Explore data to see what trends dey and understand what e dey tell you about how customers dey behave).
Suggested summary
Workload: between 4 and 360 hours
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
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 offers practical and relevant knowledge for your professional journey.