Data Science
Explore all library
- LEARNING PATHFrancesco Mosconi
Zero to Deep Learning Bootcamp Two - Getting Started With Deep LearningIntermediateDuration: Up to 3 hours and 28 minutesAuthor: Francesco Mosconi; Difficulty: Intermediate; Description: This Course gives an informative introduction to deep learning and introducing neural networks.; Duration: Up to 3 hours and 28 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam - LEARNING PATHFrancesco MosconiZero to Deep Learning Bootcamp One - Introduction to Data Science and Machine LearningBeginnerDuration: Up to 4 hours and 16 minutesAuthor: Francesco Mosconi; Difficulty: Beginner; Description: Get started with Data Science and Deep Learning; Duration: Up to 4 hours and 16 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam
- LEARNING PATHCalculated Systems
Introduction to Data VisualizationBeginnerDuration: Up to 2 hours and 17 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This course explores data sources and formatting, and how to present data in a way that provides meaningful information.; Duration: Up to 2 hours and 17 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam, 1 Hands-on lab - LEARNING PATHKunal Haria
Fundamentals of RIntermediateDuration: Up to 14 hours and 19 minutesAuthor: Kunal Haria; Difficulty: Intermediate; Description: Fundamentals of R; Duration: Up to 14 hours and 19 minutes; Content Topics: Machine Learning; This learning path has: 11 Courses, 1 Resource, 3 Exams, 1 Hands-on lab - LEARNING PATHHallam Webber
DP-100 Exam Prep: Designing and Implementing a Data Science Solution on AzureIntermediateDuration: Up to 19 hours and 40 minutesAuthor: Hallam Webber; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam.; Duration: Up to 19 hours and 40 minutes; Content Topics: Microsoft Azure; This learning path has: 11 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 5 Hands-on labs - LEARNING PATHAndrew Larkin
Practical Data Science with PythonAdvancedDuration: Up to 13 hours and 32 minutesAuthor: Andrew Larkin; Difficulty: Advanced; Description: This course explores the world of data science and gives you hands-on, practical tutorials on how to use Python at an advanced level.; Duration: Up to 13 hours and 32 minutes; Content Topics: Development; This learning path has: 5 Courses, 1 Lab challenge, 1 Exam, 2 Hands-on labs - LEARNING PATHOnsite Search EssentialsBeginnerDuration: Up to 46 minutesDifficulty: Beginner; Description: An overview of how and why search algorithms prioritize organic product listings, and how to encourage effective data sharing with retail partners.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams
- LEARNING PATHFrancesco MosconiZero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neural NetworksAdvancedDuration: Up to 3 hours and 36 minutesAuthor: Francesco Mosconi; Difficulty: Advanced; Description: This Course is the third and final of three Courses in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep L; Duration: Up to 3 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam
- LEARNING PATHCalculated SystemsGetting Started with Machine Learning ModelsIntermediateDuration: Up to 7 hours and 42 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 7 hours and 42 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs
- HANDS-ON LABAndrea Giussani
Introduction to Financial Data Manipulation with PythonBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Development, Analytics; This hands-on lab has: 2 Lab steps