Data Analysis

In this course, you will learn to use data analytics to create actionable recommendations, as well as identify and manage opportunities where data-based decisions can be used to change the way you do business. Data Analysis is an ever-evolving discipline with lots of focus on new predictive modelling techniques coupled with rich analytical tools that keep increasing our capacity to handle big data. However, in order to chart a coherent path forward, it is necessary to understand where the discipline has come from since its inception.

  • Learn the terms, jargon, and impact of business intelligence and data analytic
  • Gain knowledge of the scope and application of data analysis.
  • Explore ways to measure the performance of and improvement opportunities for

business processes.

  • Be able to describe the need for tracking and identifying the root causes of deviation or


  • Review the basic principles, properties, and application of Probability Theory.
  • Discuss data distribution including Central Tendency, Variance, Normal Distribution, and

non-normal distributions.

Anyone involved in operations, project management, business analysis, or management who
needs an introduction to Data Analysis, would benefit from this class:
• Business Analyst, Business Systems Analyst, Staff Analyst
• Those interested in CBAP®, CCBA®®, or other business analysis certifications
• Systems, Operations Research, Marketing, and other Analysts
• Project Manager, Team Leads, Project Leads, Project Assistants, Project Coordinators
• Those interested in PMP®, CAPM®, or other project management certifications
• Program Managers, Portfolio Managers, Project Management Office (PMO) staff
• Data Modelers and Administrators, DBAs
• Technical & other Subject Matter Experts (SMEs)
• IT Staff, Manager, VPs
• Finance Staff, Manager
• Operations Analyst, Supervisor

Course Content

  • Course Introduction
  • Installation/Setup of Visual Studio Code
  • Introduction to Basic HTML
  • Introduction
  • What is HTML?
  • HTML Element, tags, attributes
  • Structure of an HTML Page
  • HTML meta tags
  • HTML Paragraph and headings
  • HTML elements – div, section, main,article,header and footer
  • HTML element – List(ol, ul, li..)
  • HTML Element – Image
  • HTML element – Table
  • HTML element – forms
  • HTML element – video and audio
  • Introduction
  • styling in HTML
    Style Sheets
  • Introduction to CSS
  • CSS Selectors (ID,
  • Class, Tag, relative)
  • CSS Font formating
  • CSS Box model and Sizing
  • Positioning in CSS
  • Display in CSS
  • Float in CSS
  • Grid and Flex layout in CSS
  • Introduction
  • What is Bootstrap
  • Setting up Bootstrap
  • Locally or from a CDN (Content Delivery Network)
  • Bootstrap Classes
  • Bootstrap Navbar
  • Bootstrap Grid System
  • Bootstrap Tables
  • Bootstrap Forms and buttons
  • Introduction
  • JavaScript language and syntax
  • Document and Browser Object Models
  • Event-driven programming with JavaScript
  • Variables and Data Types
  • Object and Array
  • Conditionals
  • Looping
  • Functions
  • Forms Validation
  • Introduction
  • What is JQuery
  • JQuery Basics
  • JQuery UI
  • Introduction
  • What is CMS, WordPress
  • Themes and Plugins
  • Widgets
  • Project

Retail Courses on Demand


Keziah Owolabi Student

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Ifeanyi Obinna AMCON

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