Linkedin Learning - Data Cleaning in Python Essential Training-XQZT
English | Size: 199.14 MB
Category: Tutorial

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 7 lectures (31m) | Size: 282.4 MB
Adding and Analyzing Resident and Non-Resident Data in NTFS Data Streams and the Master File Table using Hex Editors

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 34 lectures (3h 52m) | Size: 1.78 GB
Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.22 GB | Duration: 6h 3m
You will learn complete VBA Introduction here from scratch

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 23 lectures (2h 38m) | Size: 588 MB
5 steps to design dashboards before building in Business Intelligence tools like Tableau, Power BI, MicroStrategy, Excel

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.83 GB | Duration: 14h 55m
Basic Algorithms and Data Structures: AVL tree, Binary Search Trees, Arrays, B trees, Linked Lists, Stacks and HashMaps

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 12 lectures (6h 17m) | Size: 1.5 GB
Make yourself industry ready...!

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.13 GB | Duration: 18h 22m
A guide to implement data structures, graph algorithms and sorting algorithms from scratch with interview questions!

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 39m | Size: 484.8 MB
Python and R are common programming languages used when working with data. Each language is powerful in its own way; however, it's important that you select the language that will best help you achieve your end result. In this course, data scientist and coding instructor Lavanya Vijayan helps you make this choice, sharing important considerations for using each language in various circumstances. Lavanya starts by going over the background of both languages, as well as the strengths and disadvantages of each in different scenarios. She then walks through the process of working on a data science project and how you'd handle the data at various stages using Python and R. Lavanya then covers how to analyze data using both languages. She rounds out the course by discussing the use cases that play to each language's strengths. By the end of this training, you'll have the essential information you need to determine whether Python or R is right for you.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 19m | Size: 246.9 MB
Since the inception of data analytics, the way in which analysts view and interpret data has evolved tremendously. New technologies, tools, and approaches have advanced what's possible with data analytics, and network analysis is no exception. In this course, longtime data analyst and data visualization expert Heather Johnson shares the fundamentals of using graph analytics, or network analysis, when analyzing data. Heather begins by reviewing the components of a network analysis and detailing the advantages of using a graph analytics approach. She then walks through key applications of using graph analytics when reviewing data. To wrap up the course, Heather discusses career opportunities within the realm of graph analytics. Upon completion, you'll be equipped with the knowledge of what graph analytics is and how it can be leveraged within your analytics career.