CompTIA Data+ Bootcamp (DA0-001 Training)
Course Description
The CompTIA Data+ Bootcamp is 5 days of an intense deep dive into requirements to transform business requirements in support of data-driven decisions by mining data, manipulating data, applying basic statistical methods, and analyzing complex data sets while adhering to governance and quality standards throughout the entire data lifecycle. While attending this training program - you take the DA0-001 exam to test and certify for the CompTia Data+ official certification. If your goal is to learn about new technologies that support data-based technologies to run critical systems and pass the certification exam - you've found the right place. This course is a hybrid of actual hands on learning combined with focused training materials mapped to exam objectives. You will not find a more comprehensive program anywhere.
CompTIA's Data+ Program requires 1 exam to achieve certification. We offer the most comprehensive classroom training and certification testing. You attend training and test for your certification at the same facility. Our CompTia Instructors have a minimum 15 years experience teaching and consulting the objectives of this certification.
The Data + boot camp incorporates CompTIA Official Course -
Cloud + CV0-003
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
Topics Covered in this Official Boot Camp
Identifying Basic Concepts of Data Schemas
Identify Relational and Non-Relational Databases
Understand the Way We Use Tables, Primary Keys, and Normalization
Understanding Different Data Systems
Describe Types of Data Processing and Storage Systems
Explain How Data Changes
Understanding Types and Characteristics of Data
Understand Types of Data
Break Down the Field Data Types
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
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
Identifying Common Reasons for Cleansing and Profiling Data
Learn to Profile Data
Address Redundant, Duplicated, and Unnecessary Data
Work with Missing Value
Address Invalid Data
Convert Data to Meet Specifications
Executing Different Data Manipulation Techniques
Manipulate Field Data and Create Variables
Transpose and Append Data
Query Data
Explaining Common Techniques for Data Manipulation and Optimization
Use Functions to Manipulate Data
Use Common Techniques for Query Optimization
Applying Descriptive Statistical Methods
Use Measures of Central Tendency
Use Measures of Dispersion
Use Frequency and Percentages
Describing Key Analysis Techniques
Get Started with Analysis
Recognize Types of Analysis
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
Using the Appropriate Type of Visualization
Use Basic Visuals
Build Advanced Visuals
Build Maps with Geographical Data
Use Visuals to Tell a Story
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
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
Understand Deployment Considerations
Understand How Updates and Timing Affect Reporting
Differentiate Between Types of Reports
Summarizing the Importance of Data Governance
Define Data Governance
Understand Access Requirements and Policies
Understand Security Requirements
Understand Entity Relationship Requirements
Applying Quality Control to Data
Describe Characteristics, Rules, and Metrics of Data Quality
Identify Reasons to Quality Check Data and Methods of Data Validation
Explaining Master Data Management Concepts
Explain the Basics of Master Data Management
Describe Master Data Management Processes
CERTIFICATION CAMPS FACILITIES
CAMPUS - Certification Camps built out a stand alone training center (not a hotel conference room) with spacious classrooms, new desk, Herman Miller Aeron chairs & comfortable common areas. Each student has a dedicated desk with two monitors. Each classroom has a maximum of two rows - so everyone is able to be engaged without the "back row" feeling. 
CLASSROOM EQUIPMENT - Students work on a dedicated Dell Client Desktop with 32GB memory with 512GB SSD drives - All Labs are executed the extremely fast Microsoft Data Center Hosted Lab Environment .
CAMPUS INTERNET - The campus is connected with a 1Gbps (1,000 Mbps) Verizon Fios Business Connection which provides complete internet (including VPN) access for students.
COMMON AREA - Amenties including snacks, drinks (Coffee, 100% juices, sodas, etc) all complimentary.
LODGING - We use the Hyatt Place Lakewood Ranch. This "upgraded" hotel offers extremely comfortable beds, great breakfast and very fast internet access.
NEAR BY - Many shops, restaurants and grocery options are available within walking distance. Additionally - the hotel provided scheduled shuttle services. Restaurants like Cheesecake Factory, California Pizza Kitchen, Panera Bread, Bone Fish Grill, Ruby Tuesday's, Five Guys, Chipotle, Chili's and over 20 additional choices in the immediate area.
Every CompTia Boot Camp Comes With
How Does the Certification Camps Boot Camps Work?
The Certification Camps Difference
