Data Science for AI

Data wrangling, visualization, feature engineering, and evaluation.

Data• beginner

Course overview

3 lessons
45 min of lessons
Last updated 2024-01-16
W

Webnetis training team

Course trainers

What you'll learn

Master data wrangling and cleaning techniques
Create compelling data visualizations
Perform feature engineering for ML models
Evaluate model performance effectively
Work with real-world datasets

Course content

3 lessons • 45 min
1
Data Wrangling

Cleaning and shaping data.

16 min
2
Visualization

Charts that inform decisions.

14 min
3
Model Evaluation

Metrics and validation.

15 min

Requirements

  • Basic Python knowledge
  • High school mathematics
  • No prior data science experience required
  • Access to Jupyter notebook (free)

About this course

This course provides a solid foundation in data science for AI applications. You'll work with real datasets and learn industry-standard tools and techniques.

Resources

Jupyter Notebook Setup

link

$89$179
50% OFF

One-time payment

Start Learning
3.5 hours of video content
Certificate of completion
Jupyter notebooks included
Real-world datasets
30-day refund guarantee

Full refund within 30 days if you're not satisfied

Course Info

English
45 min total
3 lessons
Certificate of completion
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