Data Science Bundle

This bundle ends in
15
Days
04
Hours
49
Minutes
28
Seconds
Data Science Bundle
From £1.00
Up to
-99%
Get 20 eBooks worth £500.80
GBflagActivates in United Kingdom
Payments:
paypal
visa
mastercard
googlepay
american-express
Payments:
paypal
visa
mastercard
googlepay
american-express
This bundle ends in
15
Days
04
Hours
49
Minutes
28
Seconds
Lifetime Ownership

Lifetime Ownership

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Expert Teaching

Expert Teaching

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Tier 1 - Pay £1.00

Tier 2 - Pay £9.60 - Including products above

Tier 3 - Pay £19.25 - Including products above

About this Bundle

Learn essential components of data science & analysis development workflow for all your complex programming needs with the Data Science Bundle.

In this collection of 20 easy-to-follow eBooks across three tiers, featuring 15 new-to-Fanatical titles, you’ll tackle the most sophisticated problems and use the likes of Python and its extensive libraries to power your way to new levels of data insight, as well as applying data science to successful marketing campaigns.

In Tier One, you’ll receive five eBooks featuring a series of quick start guides to get you up and running with user interfaces and open-source tools such as Kibana 7, JupyterLab and PySpark. With Data Science Projects with Python, you’ll learn techniques to use data to identify the exact problem to be solved, and identify how to select an appropriate algorithm for data extraction.

With Tier Two, you’ll not only get Tier One’s content, but also an additional five eBooks, with hands-on knowledge for budding data scientists, data enthusiasts and R developers. Following the guidance of Hands-On Data Analysis with Pandas, you’ll combine, group, and aggregate data from multiple sources, as well as build Python scripts, modules, and packages for reusable analysis code.

Opt for Tier Three and you’ll receive all 20 eBooks in this bundle, expanding your analytical horizons. With Data Analysis with R - Second Edition, you’ll gain a thorough understanding of statistical reasoning and sampling theory, and learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization.

The eBooks in this bundle are available in EPUB, MOBI and PDF formats.