IBM Data Science Full Course - Data Science Tools IBM Full Course, Data Science Tools and Techniques

Data Science Tools IBM Full Course, Data Science Tools and Techniques, Data Science Toolkit #datasciencetools #ibmdatascience #datasciencetoolkit #Top Tools Used in Data Science #Most Famous Tools Used in Data Science Course Chapters 0:00 - Course Introduction 04:04 - Categories of Data Science Tools 11:42 - Open Source Tools for Data Science - Part 1 19:41 - Open Source Tools for Data Science - Part 2 24:46 - Commercial Tools for Data Science 31:27 - Cloud Based Tools for Data Science 39:29 - Languages of Data Science 42:00 - Introduction to Python 46:14 - Introduction to R Language 50:23 - Introduction to SQL 54:27 - Other Languages for Data Science 1:00:43 - Libraries for Data Science 1:06:05 - Application Programming Interfaces (APIs) 1:10:45 - Data Sets - Powering Data Science 1:16:25 - Sharing Enterprise Data - Data Asset Exchange 1:20:26 - Machine Learning Models – Learning from Models to Make Predictions 1:27:41 - The Model Asset Exchange 1:31:48 - Introduction to Jupyter Notebook 1:35:13 - Getting Started with Jupyter 1:39:13 - Jupyter Kernels 1:41:18 - Jupyter Architecture 1:43:22 - Additional Anaconda Jupyter Environments 1:48:54 - Additional Cloud Based Jupyter Environments 1:53:04 - Introduction to R and RStudio 1:56:12 - Plotting in RStudio 1:59:47 - Overview of Git and GitHub 2:04:16 - Introduction to GitHub 2:09:11 - GitHub Repositories 2:13:10 - GitHub - Getting Started 2:16:36 - GitHub Working with Branches 2:22:18 - Introduction to Watson Studio 2:29:25 - Jupyter Notebooks in Watson Studio – Part 1 2:34:50 - Jupyter Notebooks in Watson Studio - Part 2 2:37:24 - Linking GitHub to Watson Studio