CompTIA Data+ (DA0-001) eLearning

COURSE DESCRIPTION

As the importance of data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

• 12 Months Online Access
• Measure-Up Exam simulation / 200 questions
• 26+ hours of eLearning
• Tips & Tricks

CERTIFICATION

This course serves as an excellent preparation for the DA0-001 exam from CompTIA.

LEARNING OUTCOMES

• Understand types and characteristics of data
• Compare and contrast different data structures, formats, and markup languages
• Explain data integration and collection methods
• Execute different data manipulation techniques
• Explain common techniques for data manipulation and optimization
• Apply descriptive statistical methods
• Describe key analysis techniques
• Understand the use of different statistical methods
• Use the appropriate type of visualization
• Express business requirements in a report format
• Apply quality control to data
• Explain master data management concepts
• Identify common data analytics tools

TARGET AUDIENCE

Analytics professionals responsible for collecting and analyzing data in order to provide an accurate picture of business operations or performance for a company. The analyst may specialize in a core business function such as marketing and sales, finance and accounting, HR, or operations or may be aspiring to a more general data analyst role. Roles for which this course would be ideal are: Data Analysts, Report Analysts, Business Intelligence Analysts, Market Research Analysts or Operations Analysts.

CONTENT

-Understanding Databases
-Database Concepts
-Understanding Data
-Data Analytics Tools
-Data Acquisition & Cleansing
-Understanding Data Manipulation
-Data Manipulation Techniques
-Query Optimization
-Descriptive Statistical Methods Inferential Statistical Methods
-Data Analysis Types & Techniques
-Data Visualization Reports
-Data Visualization Dashboards
-Creating Charts & Graphs
-Data Governance
-Data Quality & Master Data Management

PREREQUISITES

Before attending this course, you should have:

• 18–24 months of hands-on experience working in a business intelligence, report/data analyst job role.
• Working knowledge of Microsoft Excel or a spreadsheet program, including basic math calculations, like add, subtract, divide, and multiply, and how to build basic functions like Sums, Average, and Count.
• Understand the basics of sorting and filtering data sets, and how to build very basic pivot tables.
• Have some understanding of databases.
• Have a basic understanding of how to build simple charts in using data.