Knowledge Exchange: Data Analytics in a Nutshell

Name: Knowledge Exchange: Data Analytics in a Nutshell
Rating: 4.0 (458 reviews)

An overview of data analytics for beginners

Created byA. J. Smith

Last updated 4/2020

English

What you'll learn

A brief overview of data analytics. They will get a high-level crash course on how data analytics is conducted.

Course content

1 section • 6 lectures • 35m total length

Data Analytics Defined4:20
This is a free information exchange on understanding data analytics. Please keep in mind this is a very concise overview intended to give individuals a quick glance and understanding of what data analytics is and how it is executed.
For a deep dive into data analytics, refine your skills in the following areas:
Analysis (I offer a course "Master Class: Introduction to the Business Systems Analyst Profession")
Mathematics: Algebra, Calculus, Statistics
Data Mining/Programming: Structured Query Language (SQL); Procedural Language Structured Query Language (PL/SQL)
Programming: Python
Breaking Down Data Analytics3:24
This is a free information exchange on understanding data analytics. Please keep in mind this is a very concise overview intended to give individuals a quick glance and understanding of what data analytics is and how it is executed.
For a deep dive into data analytics, refine your skills in the following areas:
Analysis (I offer a course "Master Class: Introduction to the Business Systems Analyst Profession")
Mathematics: Algebra, Calculus, Statistics
Data Mining/Programming: Structured Query Language (SQL); Procedural Language Structured Query Language (PL/SQL)
Programming: Python
Doing Data Analytics the Wrong Way5:12
This lecture illustrates the wrong way to approach data analytics. Using a scenario around an aspiring tennis player, we'll explore how data analytics can go terribly wrong.
Effective Data Analytics12:42
In this section of the information exchange, we will get into the right way to approach data analytics. Data analytics is not just about foraging through data and presenting information to those that request it. Data analytics has a lot of up-front work involved even before we begin to touch the data.
Data Analytics Results4:29
From good data analytics practices comes good data to interpret. In this portion of the conversation, we will illustrate how good up-front elicitation of needs produces extensive data for us to consume.
Final Thoughts on Data Analytics5:41
This is a free information exchange on understanding data analytics. Please keep in mind this is a very concise overview intended to give individuals a quick glance and understanding of what data analytics is and how it is executed.
For a deep dive into data analytics, refine your skills in the following areas:
Analysis (I offer a course "Master Class: Introduction to the Business Systems Analyst Profession")
Mathematics: Algebra, Calculus, Statistics
Data Mining/Programming: Structured Query Language (SQL); Procedural Language Structured Query Language (PL/SQL)
Programming: Python

Requirements

No prerequisites are needed.

Description

This quick information exchange introduces individuals to the world of data analytics. Within this concise narrative, you will obtain a high-level understanding of the term data analytics, or data analysis, and how it is applied within the working world. The presenter supports his definition of data analytics with a scenario that illustrates how data analytics is executed and implemented.

This is a quick informational exchange intended to assist individuals with limited-to-zero experience with data analytics.

Who this course is for:

Aspiring data analysts and data scientists