CompTIA Data+ Certification
- Created By raju2006
- Last Updated November 16th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Short Description:
CompTIA Data+ validates certified professionals have the skills such as collecting, analyzing, and reporting data required to facilitate data-driven business decisions.
Description:
The CompTIA Data+ certification is a testament to the certified professionals' capabilities in collecting, analyzing, and presenting data, thereby enabling well-informed, data-driven business decisions.
Course Code/Duration:
BDT211 / 1 Day
Learning Objectives:
After this course, you will be able to:
- Identify and differentiate various leadership types, including their unique characteristics.
- Understand the significance of adapting one's leadership style to different situations and contexts.
- Explore key leadership theories and their practical applications in leadership scenarios.
- Recognize the traits and behaviors that indicate a good or bad leader.
- Learn the essential skills and qualities required to become an effective leader.
- Gain insights into the employee's perspective on leadership and how it influences their experience within an organization.
- 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience(Recommended).
- Professionals tasked with developing and promoting data-driven business decision-making.
- Professionals tasked with developing and promoting data-driven business decision-making.
Course Outline:
Data Concepts and Environments
- Identify basic concepts of data schemas and dimensions
- Compare and contrast different data types
- Common data structures and file formats
Data Mining
- data acquisition concepts
- cleansing and profiling datasets.
- data manipulation techniques
Data Analysis
- Descriptive statistical methods
- Inferential statistical methods
- Key analysis techniques
- Common data analytics tools
Visualization
- Translate business requirements to visuals
- reports and dashboards.
- dashboard development
- type of visualization.
Data Governance, Quality, and Controls
- Data governance concepts.
- Data quality control concepts
- Master data management
Training Material Provided:
The curriculum is empty
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