Book

Practical Data Science Cookbook

As an increasing amount of data is generated each year, and the need to analyze and operationalize it is more important than ever. Companies that know what to do with their data have a competitive advantage over companies that don't. This drives a higher demand for knowledgeable and competent data professionals. By sequentially working through the steps presented in each chapter, you will quickly familiarize yourself with the data science process, and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis - R and Python.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
14h28m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 14h28m total length

1. Preparing Your Data Science Environment
2. Driving Visual Analysis with Automobile Data with R
3. Creating Application-oriented Analyses Using Tax Data with Python
4. Modeling Stock Market Data
5. Visually Exploring Employment Data
6. Driving Visual Analyses with Automobile Data
7. Working with Social Graphs
8. Recommending Movies at Scale
9. Harvesting and Geolocating Twitter Data
10. Forecasting New Zealand Overseas Visitors
11. German Credit Data Analysis

On this page

Ready to Train Your Team?

Need training for your whole team? Get bulk pricing, LMS integration, and dedicated support.

Trusted by Leading Organizations Worldwide

Join thousands of companies that trust Calibr to power their learning and development initiatives.

Chalet Hotels logo
Pernod Ricard logo
ProMobi logo
Metrique logo
K Raheja Corp logo
Spyne.AI logo
VuNet Systems logo
Procurement Partners logo
vEngage.AI logo
1218 Global logo
TRADEJINI logo
Oben Electric logo
IIT STartups logo
EdTech Digit logo
MindSkillz logo
NewportMed logo

Request Access For Your Organization

Start training your team in minutes!

No credit card required

Related Resources