Data science: key programming, stats, & computing skills

Published 4/2023
Created by Mothanna Battah
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 4h 36m ) | Size: 2 GB

Data science & visualization course designed for students with weak computing, statistics, or programming skills.

What you’ll learn
Write python programs following correct syntax using variables, data structures, control statements, and functions(built-in and user-defined)
Properly use statistics to summarize data sets and extract actionable metrics from them
Import, analyze, clean, explore, and manipulate tabular data sets using pandas and other relevant libraries
Create insightful and story-telling graphs to visualize different types of data using Matplotlib

Requirements
No programming or statistical skills required. Course is designed to take you from scratch.
Entry to mid level computer skills

Description
A course dedicated to introducing data science & analytics concepts in the easiest, most practical way possible. The course accounts for the fact that Data science is a multi-disciplinary field that requires computing, programming, and statistical knowledge. Good computing skills mean the data analyst is able to efficiently manage the computer resources, navigate the different types of software(and hardware) and troubleshoot any issues as fast as possible. On the other hand, statistics help the data analyst understand the mathematical meaning and implications of the analysis results so that actionable insights can be developed rather than producing misleading conclusions. Lastly, good programming skills in at least 2 programming languages are key, because not always data analysts will have access to analysis tools with fancy graphical interfaces, not to mention that increasingly more complex analyses require customized code scripts to build them up.As a senior consultant in real retina analytics and a long-time educator in the field of data science, I know exactly what skills are required to succeed in this field and I know what new professionals entering the field might struggle with. Therefore, the various videos in this course are created and ordered in such a way that introduces the right foundational concepts at the right time so that more advanced concepts discussed after that are way more digestible.

Who this course is for
Beginners wishing to enter the field of data science and analytics without statistics or programming experience.
Dedicated to introducing data science & analytics concepts in the easiest, most practical way possible. The course accounts for the fact that Data science is a multi-disciplinary field that requires computing, programming, and statistical knowledge. Therefore, the various videos are created and ordered in such a way that introduces the right foundational concepts at the right time so that more advanced concepts discussed after that are way more digestible.