Last Updated 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 261 lectures (19h 40m) | Size: 13 GB

Released 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 21m | Size: 222.2 MB

Hasleo Data Recovery 6.0 (x64) Professional / Enterprise / Ultimate / Technician + Portable | 39.7/57.83 Mb
Hasleo Data Recovery is a powerful and reliable data recovery software to solve your data loss problems whether you deleted some files by accident, formatted a drive or encountered a system crash and lost some files. With only three-step, you can get back lost files from PC hard drive, external hard drive, USB flash drive, SD card, digital camera, mobile phone, MP3/MP4 player and other storage media. And you can recover all your lost files from Windows BitLocker encrypted drive.

Linkedin Learning - CompTIA Network N10-008 Cert Prep 7 Wireless Virtual Cloud and Data Center Networking-XQZT
English | Size: 2.89 GB
Category: Tutorial

Percipio - Google Professional Data Engineer
English | Size: 2.70 GB
Category: Tutorial

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.13 GB | Duration: 32 lectures * 3h 6m
Data analytics using Python MatDescriptionLib library and data visualization using Python MatDescriptionLib library

Matthew Renze | Duration: 1h 43m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 396 MB | Language: English
Learn how to create advanced data visualizations with R in order to transform your data into actionable insight.
R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data visualizations. In this course, Mastering Data Visualization with R, you will learn how to answer questions about your data by creating advanced data visualizations with R. First, you'll learn how to create and interpret data visualizations that involve spatial data, hierarchical data, graph and network data, and textual data. Then, you'll learn how to create animated data visualizations. Finally, you'll learn how to create web-based interactive data visualizations using a framework called Shiny. By the end of this course, you'll have the skills necessary to create and interpret a variety of data visualizations using R.

Matthew Renze | Duration: 2h 30m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 412 MB | Language: English
Data science is becoming more and more valuable to the workplace and to the global economy. Learn how to use the practice of data science and the programming language R to transform your data into actionable insight.
Data science is the practice of transforming data into knowledge, and R is one of the most popular programming languages used by data scientists. In a data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world.

Matthew Renze | Duration: 3h 01m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 541 MB | Language: English
Learn how to create data visualizations with R in order to answer questions about your data.
R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data visualizations. In this course, you will learn how to answer questions about your data by creating data visualizations with R.

| Duration: 2h 15m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 292 MB | Language: English
Pandas is one of the most popular software packages for data analysis. This course focuses on the core functionalities of Pandas for data wrangling, teaching you how to tackle everyday tasks for a data analyst, or data scientist.
Pandas is not just one of the most popular software packages for data analysis, it is also, without a doubt, the most convenient and fun way to work with your data. In this course, Pandas Playbook: Manipulating Data, you will cover the most important core functionalities of Pandas, focusing on the core functionalities of the two main Pandas classes: the DataFrame and the Series. First, you will take a look at a new dataset and try to get a feeling for it - how many rows and columns are there? What datatypes does it consist of? You will do some basic statistical exploration as well. Then, you'll focus on getting information out of your dataset. Basically, it's about asking the right questions and drilling down into your dataset. Finally, you will learn how to clean and transform your data. Here, you will see how to run Python functions against our data, including functions we write ourselves by using a very cool and powerful feature called groupby() - changing the structure of our columns and rows, and combining multiple dataframes into one. After watching this course, you will be ready for just about any data wrangling job that you might come across.