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Artificial Intelligence Essentials

Data Course for Return to Work


Description


A Data Course for Return to Work can cover various topics designed to equip individuals with the essential skills needed to re-enter the workforce. The course may include modules on data analysis, understanding data visualization tools, basic statistics, and the importance of data in business decision-making. Participants can learn how to use spreadsheets for data management, interpret data reports, and make data-driven recommendations. Additionally, the course could emphasize the role of big data and analytics in various industries, practical applications of data in the workplace, and best practices for using data ethically and responsibly. This comprehensive approach can help learners regain confidence and enhance their employability in the data-driven job market.

Content
  • Welcome
  • Introduction
  • How This Course Helps You Return to Work & Land a Job✅
  • Module 1
  • Course Contents & Schedule
  • 1.1 The Journey of Data: From Chaos to Clarity
  • 1.2 Understanding Data and Analytics
  • Data Tutor introduction
  • 1.3 Core Technical Skills - Part 1: MS Excel
  • 1.4 Excel's Role in Promoting Sustainability
  • Session Notes : ILT -Data Analytics & Excel Basics 
  • Session Notes : ILT - Excel 2
  • 1.7 Excel Test
  • 1.8 Excel Assignment unit
  • 1.9 Data Concepts Part 1: Databases & Data Warehouses
  • Data Science Tutor introduction
  • 1.10 Core Technical Skills - SQL: I
  • 1.11 Core Technical Skills - SQL: II
  • Session notes : Sql Part 1
  • 1.12 SQL Practicals
  • 1.13 SQL in Retail Sales
  • 1.14 SQL in Banking
  • Session Notes : ILT SQL Part 2
  • SQL Assessment
  • SQL Assignment
  • 1.15 Understanding Manual Testing
  • 1.16 Manual Testing Assesment
  • 1.17 Data Concepts Part 2: Data Mesh & Data Architecture
  • 2. Understanding Data Roles
  • 2.1 Java Basics
  • 2.2 Github
  • 2.3 Jira & Agile
  • 2.4 Python Basics
  • 2.5 Understanding Python Data Types
  • 2.6 Understanding ETL and DBT in Data Engineering
  • Section 2
  • Understanding Data Visualization
  • Introduction to Power BI
  • Essential Graph Types Every Researcher Should Know in 2025
  • Power BI : A Synergistic Approach
  • GitHub Assessment
  • Final Project
  • Python Assessment
Completion rules
  • You must complete 90.00% of the content
  • Leads to a certificate with a duration: Forever
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