Overview

Learn the complete data science workflow from collecting and cleaning data to analyzing trends and building predictive models. This beginner-friendly course introduces Python, data visualization, statistical thinking, and machine learning through practical projects that mirror real-world business and research scenarios.

By

danoxvip@gmail.com

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Data Science Foundations

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Enrollments

Level

Principiante

Time to Complete:

10 hours 0 minute

Lessons:

9

Certificate:

No

One-time for 1 person

Free

Overview

Learn the complete data science workflow from collecting and cleaning data to analyzing trends and building predictive models. This beginner-friendly course introduces Python, data visualization, statistical thinking, and machine learning through practical projects that mirror real-world business and research scenarios.

What You’ll Learn?

Write Python code for data analysis
Clean and prepare datasets
Analyze data using Pandas
Create effective visualizations
Understand statistical concepts
Build basic machine learning models
Interpret and communicate insights
Complete end-to-end data projects

Requirements

Basic computer skills
No programming experience required
Python installation recommended
Google Colab or Jupyter Notebook access

Syllabus Overview

9

Lessons

6

Quizzes

0

Tasks

0

Resources

Python for Data Analysis

Data Cleaning & Visualization

Introduction to Machine Learning

Material Includes

Practice datasets
Python cheat sheet
Data cleaning checklist
Visualization guide
Machine learning workbook

Instructor(s)

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