CompTIA Data+ DA0-001 Training - OEM Certkit

Naarmate het belang van gegevensanalyse toeneemt, zijn er meer functies nodig om de context te bepalen en essentiële bedrijfsinformatie beter te communiceren. Het verzamelen, analyseren en rapporteren van data kan prioriteiten stellen en leiden tot zakelijke besluitvorming. CompTIA Data+ is een data analytics certificering voor professionals die zich bezighouden met het ontwikkelen en bevorderen van data-gedreven zakelijke besluitvorming. Het CompTIA Data+ examen certificeert dat de succesvolle kandidaat de kennis en vaardigheden heeft die nodig zijn om bedrijfsvereisten te transformeren ter ondersteuning van datagestuurde beslissingen door middel van het verzamelen en manipuleren van data, het toepassen van statistische basismethoden en het analyseren van complexe datasets, waarbij governance en kwaliteitsstandaarden worden nageleefd gedurende de gehele levenscyclus van data.

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

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• 200+ questions

Online Mentor

De online mentor kan al uw specifieke technische vragen beantwoorden via chat of e-mail met betrekking tot uw studie.
Online Mentor is 90 dagen of 365 dagen actief - na activering!

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