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Python Functions for Data Science

via LinkedIn Learning

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Details

Provider

LinkedIn Learning
Pricing

Free Trial Available
Languages

English
Certificate

Certificate Available
Effort

1 hour 31 minutes
Sessions

Self-Paced
Level

Beginner

Found in

Part of

Moving from Data Analyst to Data Scientist

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Overview

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Learn how to save time and make your code more readable and reusable as you leverage the most powerful Python functions.

Syllabus

Introduction

Use Python like a data scientist
Getting started with Python

1. Core Python Essentials

Inspect data for validation
Handle magnitudes and precision in data
Aggregate data with basic functions
Sort, filter, and transform your data

2. NumPy and SciPy Fundamentals

Create NumPy arrays in Python
Index and slice NumPy arrays
Reshape NumPy arrays
Transform and scale NumPy arrays
Extract key values with NumPy
Solve matrix-based problems with SciPy
Run statistical functions with SciPy

3. pandas for Data Manipulation

Create pandas series and dataframes
Extract data subsets from pandas objects
Modify pandas objects
Combine data from pandas objects
Group data from pandas objects
Transform data with pandas apply()

4. Visualization Essentials

Create line and scatter plots
Display categorical distributions
Explore numerical distributions
Visualize pairwise relationships
Organize your visualizations

Conclusion

Apply functions to data science

Taught by

Lavanya Vijayan and Madecraft

Reviews

4.9 rating at LinkedIn Learning based on 25 ratings

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