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Python for Data Science Complete Video Course

by Jerome Henry
Publisher: Addison-Wesley Professional
Release Date: April 2019
ISBN: 9780135557358

Lecture Size: 98x150
Lecture Date: 04.2019

Lecture Link: https://learning.oreilly.com/

| Rough Cuts / Sneak Peek:

| The Rough Cuts/Sneak Peek program provides early access to Pearson
| products and is exclusively available to Safari subscribers.
| Content for titles in this program is made available throughout
| the development cycle, so products may not be complete, edited, or
| finalized, including post-production editing.
| 9+ Hours of Video Instruction

| While there are resources for Data Science and resources for
| Machine Learning, there's a distinct gap in resources for the
| precursor course to Data Science and Machine Learning. This
| complete video course fills that gap--it is specifically designed
| to prepare students to learn how to program for Data Science and
| Machine Learning with Python. This is the antidote to the over-
| complicated universe of these hot new, growing technologies. With
| this course, students will learn the fundamentals of Python and
| get prepared specifically for Data Science.
| Noah Gift and Kennedy Behrman take students with zero programming
| background through enough Python to prepare them for their Data
| Science curriculum. Companies are looking for developers who can
| create insight-driven systems, as they are now becoming critical
| to business success. Very few professionals are adequately trained
| to handle both large-scale software engineering and Machine
| Learning/AI. This is an emerging field, and we are developing the
| training to meet this need in the marketplace.
| Description

| Notebook-based Data Science programming in Python is the emerging
| standard but there is a dearth of quality training material
| available for beginners. This 9-hour video, complete with
| interactive quizzes, provides foundational training on the Python
| language for the novice or beginner programmer looking to start in
| the Data Science field. The video serves as the 100-level course
| for a Data Science undergraduate or graduate program.

| The course has been designed around Colab notebook-based learning.
| Students would be able to run every exercise shown in the videos.
| The material focuses on a smaller, easier subset of Python that is
| needed just for Data Science coding.