MP4 | Video: AVC 1280 x 720 | Audio: AAC 48KHz 2ch | Duration: 6H 38M | 13.68 GBGenre: eLearning | Language: EnglishRough Cuts / Sneak Peek:The Rough Cuts/Sneak Peek program provides early access to Pearson products and is exclusively available to Safari subscribers.
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9+ Hours of Video InstructionWhile 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.
DescriptionNotebook-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.
Skill LevelBeginnerWhat You Will LearnLearn Google Colab notebook Data Science programmingLearn the essential subset of Python used in Data ScienceLearn to manipulate data using popular Python libraries such as pandas and numpyLearn to apply Python Data Science recipes to real-world projectsLearn functional programming fundamentals unique to Data ScienceWho Should Take This CourseComplete beginners to programmingStatisticians and Analysts in the data industry looking to use Python for Data ScienceSales, Product Managers, Data Analysts, Marketing who want to perform Data ScienceSoftware Engineers looking to level up into Data Science and Machine Learning tracksStudents enrolled in a Data Science programCourse RequirementsGeneral computer skills are an asset, such as moving, copying, renaming, and deleting files on the computer they will be usingExperience using text editors and/or spreadsheet applicationsComfort using web browsers and search enginesLessonsIntroductionLesson 1: Python Past and FutureLesson 2: Introduction to ColabLesson 3: Fundamentals of PythonLesson 4: Strings in PythonLesson 5: Python Data StructuresLesson 6: Data Conversion RecipesLesson 7: Execution ControlLesson 8: Functions in PythonLesson 9: Data Science LibrariesLesson 10: Functional ProgrammingLesson 11: Lazy EvaluationLesson 12: Pattern MatchingLesson 13: Sorting in PythonLesson 14: I/O in PythonLesson 15: Sharing Your WorkLesson 16: Case StudiesSummaryAbout Pearson Video TrainingPearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed.
These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more.
