Overview
This skill path is designed to guide from the basics of Python programming to advanced concepts used in data analysis and visualization.
It starts with Python fundamentals like syntax, data structures, and functions, progressing into essential libraries like Pandas, NumPy, and Matplotlib. Learners will explore advanced techniques such as regex, datetime manipulations, and object-oriented programming. The path concludes with skills in data visualization, preparing learners for real-world data tasks.
Skill path
1
MasterclassBasic Programming constructs of Python
e-commerce
approach
quality
python
05h
2
ScenarioBasic Programming Constructs of Python Hands On
e-commerce
approach
python
01h
3
MasterclassData Types & Data Structures in Python
e-commerce
data-wrangling
python
approach
02h 20m
4
ScenarioData Types & Data Structures in Python - Hands on
e-commerce
approach
data-wrangling
python
01h
5
MasterclassPython Data Wrangling
e-commerce
quality
data-quality
data-wrangling
python
approach
06h
6
ScenarioPython Data Wrangling Hands On
e-commerce
data-wrangling
approach
python
04h
7
MasterclassPython Data Cleaning & Preparation
e-commerce
data-wrangling
python
01h 30m
8
ScenarioPython Data Cleaning & Preparation - Hands on
e-commerce
data-wrangling
approach
python
01h 30m
9
MasterclassMastering Code Reusability using Functions
e-commerce
approach
quality
data-wrangling
python
03h
10
ScenarioFlexible Filtering and Analysis of Sales Data with Functions
e-commerce
approach
quality
data-wrangling
python
01h
11
ScenarioEfficient Code with Functions and Decorators
e-commerce
approach
quality
data-wrangling
python
01h
12
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ScenarioAnalyzing Customer Reviews
e-commerce
data-wrangling
python
01h
13
.webp&w=3840&q=100)
ScenarioImproving Product Descriptions Using String Manipulation
e-commerce
approach
python
45m
14
.webp&w=3840&q=100)
ScenarioFormatting Dates for Better Decision-Making
e-commerce
approach
data-wrangling
python
01h
15
.webp&w=3840&q=100)
ScenarioUnlocking Seasonal Trends with Timestamps
e-commerce
approach
data-wrangling
python
01h
16
.webp&w=3840&q=100)
ScenarioTackling Delivery Delays Across Time Zones
e-commerce
approach
data-wrangling
python
01h
17
.webp&w=3840&q=100)
ScenarioMeasuring Delivery Times to Optimize Performance
e-commerce
approach
data-wrangling
python
01h
18
ProjectObject-Oriented Programming in Python
general
e-commerce
approach
quality
python
code-versioning
02h 45m
19
MasterclassPython Data Visualization
e-commerce
data-visualization
sql
02h
20
ScenarioPython Data Visualization Hands On
e-commerce
data-visualization
python
02h
21
.webp&w=3840&q=100)
ScenarioEssential Array Operations and Manipulations
general
approach
python
01h 30m