Overview

A hands-on introduction to analyzing real data with Python: cleaning messy datasets, filtering and grouping with Pandas, and turning the results into charts that support a clear decision.

By

diyaa

Data Science with Python: A Practical Start

Category:

0
3

Enrollments

Level

متوسط

Time to Complete:

2 hours 0 minute

Lessons:

4

One-time for 1 person

د.ك25.00

Overview

A hands-on introduction to analyzing real data with Python: cleaning messy datasets, filtering and grouping with Pandas, and turning the results into charts that support a clear decision.

What You’ll Learn?

How to load and clean real-world datasets
How to filter, group, and aggregate data with Pandas
How to build charts that communicate clearly
How to turn a data analysis into a concrete, data-backed decision

Requirements

Basic Python syntax knowledge required
A Python/Jupyter setup or a Google Colab account

Syllabus Overview

4

Lessons

0

Quizzes

0

Tasks

0

Resources

Working with Data in Pandas

Visualizing and Interpreting Results

Material Includes

Sample datasets
Starter Jupyter notebook

Instructor(s)

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