1 – Identifying Basic Concepts of Data Schemas
- Identify Relational and NonRelational Databases
- Understand the Way We Use Tables ,Primary Keys, and Normalization
2 – Understanding Different Data Systems
- Describe Types of Data Processing and Storage Systems
- Explain How Data Changes
3 – Understanding Types and Characteristics of Data
- Understand Types of Data
- Break Down the Field Data Types
4 – Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
- Differentiate between Structured Data and Unstructured Data
- Recognize Different File Formats
- Understand the Different Code Languages Used for Data
5 – Explaining Data Integration and Collection Methods
- Understand the Processes of Extracting, Transforming, and Loading Data
- Explain API/Web Scraping and Other Collection Methods
- Collect and Use Public and Publicly Available Data
- Use and Collect Survey Data
6 – Identifying Common Reasons for Cleansing and Profiling Data
- Learn to Profile Data
- Address Redundant, Duplicated, and Unnecessary Data
- Work with Missing Values
- Address Invalid Data
- Convert Data to Meet Specifications
7 – Executing Different Data Manipulation Techniques
- Manipulate Field Data and Create Variables
- Transpose and Append Data
- Query Data
8 – Explaining Common Techniques for Data Manipulation and Optimization
- Use Functions to Manipulate Data
- Use Common Techniques for Query Optimization
9 – Applying Descriptive Statistical Methods
- Use Measures of Central Tendency
- Use Measures of Dispersion
- Use Frequency and Percentages
10 – Describing Key Analysis Techniques
- Get Started with Analysis
- Recognize Types of Analysis
11 – Understanding the Use of Different Statistical Methods
- Understand the Importance of Statistical Tests
- Break Down the Hypothesis Test
- Understand Tests and Methods to Determine Relationships Between Variables
12 – Using the Appropriate Type of Visualization
- Use Basic Visuals
- Build Advanced Visuals
- Build Maps with Geographical Data
- Use Visuals to Tell a Story
13 – Expressing Business Requirements in a Report Format
- Consider Audience Needs When Developing a Report
- Describe Data Source Considerations For Reporting
- Describe Considerations for Delivering Reports and Dashboards
- Develop Reports or Dashboards
- Understand Ways to Sort and Filter Data
14 – Designing Components for Reports and Dashboards
- Design Elements for Reports and Dashboards
- Utilize Standard Elements
- Creating a Narrative and Other Written Elements
- Understand Deployment Considerations
15 – Distinguishing Different Report Types
- Understand How Updates and Timing Affect Reporting
- Differentiate Between Types of Reports
16 – Summarizing the Importance of Data Governance
- Define Data Governance
- Understand Access Requirements and Policies
- Understand Security Requirements
- Understand Entity Relationship Requirements
17 – Applying Quality Control to Data
- Describe Characteristics, Rules, and Metrics of Data Quality
- Identify Reasons to Quality Check Data and Methods of Data Validation
18 – Explaining Master Data Management Concepts
- Explain the Basics of Master Data Management
- Describe Master Data Management Processes
CompTIA Data+ validates that you have the skills required to facilitate data-driven business decisions, including:
- Mining data
- Manipulating data
- Visualizing and reporting data
- Applying basic statistical methods
- Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Data+ is an ideal certification for not only data-specific careers, but other career paths that can benefit from analytics processes and data analytics knowledge, such as marketing specialists, financial analysts, human resource analysts or clinical health care analysts. This course is suited for those whose job role could be Data Analyst, Business Intelligence Analyst, Reporting Analyst, Marketing Analyst, Clinical Analyst, Business Data Analyst, or Operations Analyst.
While there are no prerequisites for this course, please ensure you have the right level of experience to be successful in this training.
Ten (10) business days’ notice is required to reschedule a class with no additional fees. Notify TOPTALENT LEARNING as soon as possible at 469-721-6100 or by written notification to info@toptalentlearning.com to avoid rescheduling penalties.
Please contact our team at 469-721-6100; we will gladly guide you through the online purchasing process.
You will receive a receipt and an enrollment confirmation sent to the email you submitted at purchase. Your enrollment email will have instructions on how to access the class. Any additional questions our team is here to support you. Please call us at 469-721-6100.
If a student is 15 minutes late, they risk losing their seat to a standby student. If a student is 30 minutes late or more, they will need to reschedule. A no-show fee will apply. Retakes are enrolled on a stand-by basis. The student must supply previously issued courseware. Additional fees may apply.
You will receive a ‘Certificate of Completion’ once you complete the class. If you purchased an exam voucher for the class, a team member from TOPTALENT LEARNING will reach out to discuss your readiness for the voucher and make arrangements to send it.
