CompTIA Data+ DA0-001 Training
CompTIA Data+ DA0-001 Training
CompTIA Data+ DA0-001 E-Learning Certified Teachers Exam Quizzes Online Mentor MeasureUp Test Exam Live Labs Tips Tricks Certificate.
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- CompTIA
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CompTIA Data+ DA0-001 Training - OEM Certkit
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 decisionmaking. 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.
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.
Course outcome:
- 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
Who should attend:
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.
CertKit content:
• E-learning courses:
CompTIA Data+ (DA0-001): Understanding Databases
Course: 1 Hour, 40 Minutes
- Course Overview
- The Data Analysis Process
- How to Review and Refine Business Questions
- How to Determine Data Needs and Sources
- Scoping and Gap Analysis
- Analysis Types
- Trend Analysis
- Performance Analysis
- Exploratory Data Analysis
- Link Analysis
- Course Summary
CompTIA Data+ (DA0-001): Database Concepts
Course: 1 Hour, 15 Minutes
- Course Overview
- Challenges Associated with Databases
- Self-driving Databases
- Data Warehouses
- Data Marts
- Data Lakes and Lakehouses
- Online Transactional Processing (OLTP)
- Online Analytical Processing (OLAP)
- Database Schemas
- Working with Star Schema
- Working with Snowflake Schema
- Slowly Changing Dimensions
- Course Summary
CompTIA Data+ (DA0-001): Understanding Data
Course: 1 Hour, 59 Minutes
- Course Overview
- Challenges Associated with Databases
- Self-driving Databases
- Data Warehouses
- Data Marts
- Data Lakes and Lakehouses
- Online Transactional Processing (OLTP)
- Online Analytical Processing (OLAP)
- Database Schemas
- Working with Star Schema
- Working with Snowflake Schema
- Slowly Changing Dimensions
- Course Summary
CompTIA Data+ (DA0-001): Data Analytics Tools
Course: 2 Hours, 14 Minutes
- Course Overview
- Challenges Associated with Databases
- Self-driving Databases
- Data Warehouses
- Data Marts
- Data Lakes and Lakehouses
- Online Transactional Processing (OLTP)
- Online Analytical Processing (OLAP)
- Database Schemas
- Working with Star Schema
- Working with Snowflake Schema
- Slowly Changing Dimensions
- Course Summary
CompTIA Data+ (DA0-001): Data Acquisition & Cleansing
Course: 2 Hours, 35 Minutes
- Course Overview
- Challenges Associated with Databases
- Self-driving Databases
- Data Warehouses
- Data Marts
- Data Lakes and Lakehouses
- Online Transactional Processing (OLTP)
- Online Analytical Processing (OLAP)
- Database Schemas
- Working with Star Schema
- Working with Snowflake Schema
- Slowly Changing Dimensions
- Course Summary
CompTIA Data+ (DA0-001): Understanding Data Manipulation
Course: 56 Minutes
- Course Overview
- Challenges Associated with Databases
- Self-driving Databases
- Data Warehouses
- Data Marts
- Data Lakes and Lakehouses
- Online Transactional Processing (OLTP)
- Online Analytical Processing (OLAP)
- Database Schemas
- Working with Star Schema
- Working with Snowflake Schema
- Slowly Changing Dimensions
- Course Summary
CompTIA Data+ (DA0-001): Data Manipulation Techniques
Course: 1 Hour, 30 Minutes
- Course Overview
- Recoding Data
- Derived Variables
- Data Merging and Blending
- Performing a Data Merge
- Performing a Data Blend
- Performing Concatenation and Appending
- Imputation
- Reduction and Aggregation
- Data Transposition
- Transposing Data in Excel
- Data Normalization
- Parsing and Manipulating Strings
- Course Summary
CompTIA Data+ (DA0-001): Query Optimization
Course: 1 Hour, 8 Minutes
- Course Overview
- Query Optimization
- Query Optimization Tools
- Using Parameterization
- Performing Index Scans
- Using Temporary Tables
- Using Record Subsets
- Using Execution Plans
- Query Optimization Best Practices
- Course Summary
CompTIA Data+ (DA0-001): Descriptive Statistical Methods
Course: 1 Hour, 21 Minutes
- Course Overview
- Query Optimization
- Query Optimization Tools
- Using Parameterization
- Performing Index Scans
- Using Temporary Tables
- Using Record Subsets
- Using Execution Plans
- Query Optimization Best Practices
- Course Summary
CompTIA Data+ (DA0-001): Inferential Statistical Methods
Course: 1 Hour, 31 Minutes
- Course Overview
- Query Optimization
- Query Optimization Tools
- Using Parameterization
- Performing Index Scans
- Using Temporary Tables
- Using Record Subsets
- Using Execution Plans
- Query Optimization Best Practices
- Course Summary
CompTIA Data+ (DA0-001): Data Analysis Types & Techniques
Course: 1 Hour, 39 Minutes
- Course Overview
- The Data Analysis Process
- How to Review and Refine Business Questions
- How to Determine Data Needs and Sources
- Scoping and Gap Analysis
- Analysis Types
- Trend Analysis
- Performance Analysis
- Exploratory Data Analysis
- Link Analysis
- Course Summary
• MeasureUp Exam simulation
o 200 questions
• Tips & Tricks
| Language | English |
|---|---|
| Qualifications of the Instructor | Certified |
| Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
| MeasureUp Examination simulation | Included |
| Online Virtuele labs | Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training |
| Tips & Tricks | Included |
| Exam Quiz | Included |
| Full training for the official Exam | Yes |
| Lesson duration | 16:48 Hours |
| Progress monitoring | Yes |
| Access to Material | 365 days |
| Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
| Support or Assistance | Helpdesk and online knowledge base 24/7 |
| Certification | Certificate of participation in PDF format |
| Price and costs | Course price at no extra cost |
| Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
| Award Winning E-learning | Yes |
| Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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