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There are 5 modules in this course

Today's data plays a large part in our daily lives and in business decisions. It is the basis for up and coming business technologies such as AI, machine learning, and big data. This course will assist you in learning more about the Data+ certification offered by CompTIA, which shows competency for professionals who need to make data-driven business decisions. It will guide you through the five main objectives on the exam: data concepts and environments, data mining, data analysis, data visualization, and governance, quality and controls. After finishing the course, you will be able to define important data-related terms, demonstrate proficiency in using data mining and analysis to make important business decisions, and communicate and report insights gained from data analytics.

In this module, we'll introduce you to data concepts and environments. We'll discuss topics such as data sources, types of data structures, and different types of data stores.

What's included

10 videos

10 videosTotal 81 minutes

Introduction to data concepts6 minutes
Understanding data types and structures7 minutes
Exploring relational databases10 minutes
Exploring non-relational databases8 minutes
Structured, semi structured and unstructured data7 minutes
Data warehousing and data lakes10 minutes
Understanding OLTP7 minutes
Understanding OLAP8 minutes
Snowflake and star schemas explained7 minutes
The role of slowly changing dimensions in data7 minutes

This module will define basic characteristics of data mining. It will cover terms and definitions of ETL, ELT, DDL, and DML and will also discuss such topics as performance and query optimization.

What's included

9 videos

This module will discuss such topics as data visualizations, data analytics and regression analysis. These topics can be used in conjunction with AI and machine learning technologies.

What's included

7 videos

7 videosTotal 48 minutes

Introduction to data analysis1 minute
Introduction to visualization and mining6 minutes
Applying descriptive statistical methods9 minutes
Inferential statistical methods explained7 minutes
Measures of central tendency and dispersion8 minutes
Understanding frequencies, percentages and confidence intervals6 minutes
Linear regression and correlation analysis7 minutes

This module will cover data visualizations and data integration for business analysis and final reports. Additional topics such as real time data analysis will be covered, as well as databoard deployments and various data sources.

What's included

7 videos

This module will discuss the importance of data governance and data security. It will address the need to protect data and the various methods of data protection, covering topics such as data classification and PI compliance.