Size:34.49 MB | pdf |

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 188 MB | Duration: 32m
What you'll learn

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 189 lectures (21h 19m) | Size: 7.64 GB
R Basics, Data Science, Statistical Machine Learning models, Deep Learning with Keras, much more (All R code included)

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 247 lectures (29h 22m) | Size: 13.2 GB
Learn To Build & Deploy Machine Learning,Data Science,DL,NLP Web Application Projects (Python,Flask,Django Heruko Cloud)

Created by Data World | Last updated 5/2020
Duration: 3h8m | 9 sections | 62 lectures | Video: 1280x720, 44 KHz | 888 MB
Genre: eLearning | Language: English + Sub

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.16 GB | Duration: 3h 46m
Learn how to use MATLAB and Simulink from scratch with several MATLAB code and Simulink model examples

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Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 31m | Size: 399 MB
If you're looking for work as a junior data analyst, engineer, or scientist, this course gives you the best techniques to land jobs in data science. Instructor Ben Sullins explores a hiring manager's mindset and shows you how to prepare a demo that you can bring to your job interview. Ben explains some best practices for being physically and mentally healthy and well-prepared for your interview. He covers what to bring to your interview, then goes over follow-up methods and steps you should take to negotiate what you want most from an offer. Ben's methods give you the confidence and practice that you need to land a job in data science.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 29m | Size: 337.7 MB
Are you considering working in data science, and would you like to try out some popular tools first? This course focuses on what you can do with Apache Spark. Instructor Ben Sullins shows you how to set up Spark on Databricks. Ben goes over how to import your data and start working with it, using both Python and SQL languages in Spark. He steps through taking your project to the next level with some easy data visualizations. After explaining some tips and tricks to present your data using Spark, Ben concludes with some additional resources that you can use to pursue your data science journey.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate| Genre: eLearning | Language: English + srt | Duration: 27m | Size: 292.1 MB
Python is a popular programming language in the field of data science, used for engineering and analytics, as well as data science itself. In this course, instructor Ben Sullins focuses on teaching you how to use Python using notebooks set up on the Jupyter platform. Ben walks through installing Jupyter using Anaconda, then shows you how to navigate the user interface and get Python running on a notebook in Jupyter. He covers how to import pandas, use pandas to explore sample data, and use data frames. Ben steps you through a number of functions, then concludes with some of the unique ways to present your data using Jupyter notebooks and Python.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 1m | Size: 638.9 MB
If you're interested in working in data or looking to advance in the field, you need a foundational knowledge of several key areas of data science. Not only that, you need to be able to demonstrate that knowledge. In this four-part series, Ben Sullins shows how to build four distinct data science projects using SQL, Tableau, Python, and Spark. In this second installment, Ben details the steps in building a sales dashboard with Tableau, the popular data visualization platform favored by organizations worldwide. Ben starts by breaking down the different aspects of Tableau, from working on a desktop, to sharing data over the web, to using the Tableau Public platform to publicly share your data visualizations. He then shows Tableau in action, looking at how it facilitates a deep dive into your data, before demonstrating how to build out an exploratory dashboard with your data. At the end of the course, you'll be able to give a live demo of your data visualizations in Tableau Public on the web.