CompTIA Data+ (DA0-001) - CompTIA Data Certification Course

CompTIA Data+ (DA0-001) | CompTIA Data Certification Course, available at $44.99, has an average rating of 4.35, with 163 lectures, 21 quizzes, based on 20 reviews, and has 389 subscribers.

You will learn about Comptia Data+ gives you the confidence to bring data analysis to life. Take and pass the CompTIA Data+ (DA0-001) certification exam Data Mining Data Analysis Data Visualization Data Governance, Quality, & Controls Data Schemas Relational Databases Schemas Non-Relational Databases Comparing Databases Data Processing(OLTP & OLAP) Data Warehouse, Data Mart Schema Consepts (Snowflake & Star) Data Lake Slowly changing dimensions Quantitative Data, Qualitative Data Data Types Can we convert data types? Data Structures Data File Formats-Text/Flat File Review Data Languages Explain data acquisition concepts Extracting Data Transforming Data Loading Data(Full Load & Delta Load) Application programming interfaces (APIs) Web Scraping Machine Data Public Data Survey Data Sampling & Observation Cleansing and Profiling Datasets Data Profiling Steps Tools that Simplify The Data Profiling Process Redundant Data Dublicate Data Missing Values Invalid Data Non-parametric Data Data Outliers Specification mismatch Data Manipulation Techniques. Recording Data Derived Variables Data Blending Concatenation Data Append Value ?mputation Reduction/Aggregation Filtering Data Sorting Date Functions Logical functions Aggregate Functions System Functions Query Optimization Parameterization Indexing Temporary table in the query set Subset of records Execution Plan Data Analysis Exploratory Data Analysis(EDA) Sentiment Analysis Perfomance Analysis Diagnostic Analysis Gap Analysis Trend Analysis Link Anlysis Descriptive Statistical Methods Measures of Central Tendency (Mean, Median, Mode) Why is Central Tendency Important? Measures of dispersion Frequencies/Percentages Percent change / Percent Difference Confidence intervals Inferential Statistical Methods T-tests P-Values Z-Score Chi-squared Hypothesis Testing Linear Regression Correlation Data Analytics Tools Excel-Tableau Power BI ve Rapid Mine Data Visualization Tools(Qlik, AWS QuickSight, ArcGIS) Statistical Tools SAS, IBMSPSS Stata, Minitab Reporting Tools SSRS, Crystal Reports ve Power BI Platform Tools Business Objects, MicroStrategy Oracles Apex, Dataroma Cognos, Rapid Miner Oracle Analytics, Domo ve Microsoft Power platform Creating Reports Data Content Data Filtering Data Sorting Views Data Range Frequency Audience for Report Creating Dashboards Report cover page Design Elements Documentation Elements Dashboard Considerations Data sources and attributes Continuous/live Data Feed vs. Static Data Development Process Mockup/wireframe Approval granted Develop Dashboard Deploy to production Subscription and Scheduled delivery Interactive Static & Web interface Dashboard optimization & Access permissions Visualization Type Line Chart Pie Chart – Bubble Chart Scatter Plot-Bar Chart Histogram-Waterfall Heat map – Geographic map Tree map – Stacked chart Infographic – Word cloud Compare and contrast types of reports. Static vs. dynamic reports Ad-hoc/one-time report Self-service/on demand Recurring Reports Tactical/Research report Data Governance, Quality, and Controls Data Lifecycle Data Roles Access Requirements Security Requirements Storage environment requirements Use Requirements Data Process Data Retention Entity Relationship Requirements Data Classification Jurisdiction Requirements Data Breach Reporting Data Quality Control Concepts Circumstances to check for quality Automated Validation Data Quality Dimensions Data quality rule and metrics Cross validation & Sample/Spot Check Reasonable expectations & Data profiling Data audits & Peer Review Explain master data management (MDM) concepts. Processes Circumstances for MDM Data Concepts and Environments This course is ideal for individuals who are Students preparing for the CompTIA Data+ (DA0-001) Certification or CompTIA Data+ is an ideal certification for not only data-specific careers, but also other career paths that benefit from analytics processes and data analytics knowledge. or Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly with Comptia Data+ or Data Scientists or Data Analysts or Data Manager or Data Specialist or Database Engineers or Information Technology Professionals It is particularly useful for Students preparing for the CompTIA Data+ (DA0-001) Certification or CompTIA Data+ is an ideal certification for not only data-specific careers, but also other career paths that benefit from analytics processes and data analytics knowledge. or Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly with Comptia Data+ or Data Scientists or Data Analysts or Data Manager or Data Specialist or Database Engineers or Information Technology Professionals.

Enroll now: CompTIA Data+ (DA0-001) | CompTIA Data Certification Course

Summary

Title: CompTIA Data+ (DA0-001) | CompTIA Data Certification Course

Price: $44.99

Average Rating: 4.35

Number of Lectures: 163

Number of Quizzes: 21

Number of Published Lectures: 163

Number of Published Quizzes: 21

Number of Curriculum Items: 184

Number of Published Curriculum Objects: 184

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Comptia Data+ gives you the confidence to bring data analysis to life.

Take and pass the CompTIA Data+ (DA0-001) certification exam

Data Mining

Data Analysis

Data Visualization

Data Governance, Quality, & Controls

Data Schemas

Relational Databases Schemas

Non-Relational Databases

Comparing Databases

Data Processing(OLTP & OLAP)

Data Warehouse, Data Mart

Schema Consepts (Snowflake & Star)

Data Lake

Slowly changing dimensions

Quantitative Data, Qualitative Data

Data Types

Can we convert data types?

Data Structures

Data File Formats-Text/Flat File

Review Data Languages

Explain data acquisition concepts

Extracting Data

Transforming Data

Loading Data(Full Load & Delta Load)

Application programming interfaces (APIs)

Web Scraping

Machine Data

Public Data

Survey Data

Sampling & Observation

Cleansing and Profiling Datasets

Data Profiling Steps

Tools that Simplify The Data Profiling Process

Redundant Data

Dublicate Data

Missing Values

Invalid Data

Non-parametric Data

Data Outliers

Specification mismatch

Data Manipulation Techniques.

Recording Data

Derived Variables

Data Blending

Concatenation

Data Append

Value ?mputation

Reduction/Aggregation

Filtering

Data Sorting

Date Functions

Logical functions

Aggregate Functions

System Functions

Query Optimization

Parameterization

Indexing

Temporary table in the query set

Subset of records

Execution Plan

Data Analysis

Exploratory Data Analysis(EDA)

Sentiment Analysis

Perfomance Analysis

Diagnostic Analysis

Gap Analysis

Trend Analysis

Link Anlysis

Descriptive Statistical Methods

Measures of Central Tendency (Mean, Median, Mode)

Why is Central Tendency Important?

Measures of dispersion

Frequencies/Percentages

Percent change / Percent Difference

Confidence intervals

Inferential Statistical Methods

T-tests

P-Values

Z-Score

Chi-squared

Hypothesis Testing

Linear Regression

Correlation

Data Analytics Tools

Excel-Tableau

Power BI ve Rapid Mine

Data Visualization Tools(Qlik, AWS QuickSight, ArcGIS)

Statistical Tools

SAS, IBMSPSS

Stata, Minitab

Reporting Tools

SSRS, Crystal Reports ve Power BI

Platform Tools

Business Objects, MicroStrategy

Oracles Apex, Dataroma

Cognos, Rapid Miner

Oracle Analytics, Domo ve Microsoft Power platform

Creating Reports

Data Content

Data Filtering

Data Sorting

Views

Data Range

Frequency

Audience for Report

Creating Dashboards

Report cover page

Design Elements

Documentation Elements

Dashboard Considerations

Data sources and attributes

Continuous/live Data Feed vs. Static Data

Development Process

Mockup/wireframe

Approval granted

Develop Dashboard

Deploy to production

Subscription and Scheduled delivery

Interactive

Static & Web interface

Dashboard optimization & Access permissions

Visualization Type

Line Chart

Pie Chart – Bubble Chart

Scatter Plot-Bar Chart

Histogram-Waterfall

Heat map – Geographic map

Tree map – Stacked chart

Infographic – Word cloud

Compare and contrast types of reports.

Static vs. dynamic reports

Ad-hoc/one-time report

Self-service/on demand

Recurring Reports

Tactical/Research report

Data Governance, Quality, and Controls

Data Lifecycle

Data Roles

Access Requirements

Security Requirements

Storage environment requirements

Use Requirements

Data Process

Data Retention

Entity Relationship Requirements

Data Classification

Jurisdiction Requirements

Data Breach Reporting

Data Quality Control Concepts

Circumstances to check for quality

Automated Validation

Data Quality Dimensions

Data quality rule and metrics

Cross validation & Sample/Spot Check

Reasonable expectations & Data profiling

Data audits & Peer Review

Explain master data management (MDM) concepts.

Processes

Circumstances for MDM

Data Concepts and Environments

Who Should Attend

Students preparing for the CompTIA Data+ (DA0-001) Certification

CompTIA Data+ is an ideal certification for not only data-specific careers, but also other career paths that benefit from analytics processes and data analytics knowledge.

Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly with Comptia Data+

Data Scientists

Data Analysts

Data Manager

Data Specialist

Database Engineers

Information Technology Professionals

Target Audiences

Students preparing for the CompTIA Data+ (DA0-001) Certification

CompTIA Data+ is an ideal certification for not only data-specific careers, but also other career paths that benefit from analytics processes and data analytics knowledge.

Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly with Comptia Data+

Data Scientists

Data Analysts

Data Manager

Data Specialist

Database Engineers

Information Technology Professionals

Hello there,

Welcome to the ” CompTIA Data+ (DA0-001) | CompTIA Data Certification Course “ Course

CompTIA Data – Learn Data Concepts, Data Visualization, Data Analysis & Statistics and pass the Data+ certification exam

Data analytics is now central to the day-to-day operations of so many businesses. In all sectors, companies and institutions are using data analytics tools to more efficiently manage supply chains, customer relations and manufacturing, and more.

It’s not just businesses that are making an investment in improving their data management capabilities. Educational institutions like school districts and universities are collecting more data than ever before to provide effective and equitable services to a diverse student population. The healthcare sector is no different, looking for ways to manage patient data to improve outcomes and allocate resources.

It’s no surprise that finding qualified and highly competent data analysts is a top priority for the principal stakeholders of these companies and institutions. If you are looking to advance in your career or find a more challenging and rewarding job role, the CompTIA Data + Certification is something you’ll want to add to your resume. comptia data+, comptia data, comptia, data+, comptia data, comptia data certification course, comptia data certification, da0-001, data analytics, data analyst, data analysis, statistics, data science, data visualization

The CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

This certification tests your ability to better analyze and interpret data, communicate insights, and demonstrate competency in the world of data analytics.

COMPTIA DATA+ GIVES YOU THE CONFIDENCE TO BRING DATA ANALYSIS TO LIFE.

Differentiate yourself with Comptia Data+, better analyze and interpret Data.

Better highlight what’s important in reports that persuade, not confuse.

Make better data-driven decisions.

Data literacy increases your competence and makes you more employable.

COMPTIA DATA+ PROVES YOU HAVE THE SKILLS REQUIRED TO FACILITATE DATA-DRIVEN BUSINESS DECISIONS.

What Skills Will You Learn?

Data Concepts and Environments: Boost your knowledge in identifying basic concepts of data schemas and dimensions while understanding the difference between common data structures and file formats

Data Mining: Grow your skills to explain data acquisition concepts, reasons for cleansing and profiling datasets, executing data manipulation, and understanding techniques for data manipulation

Data Analysis: Gain the ability to apply the appropriate descriptive statistical methods and summarize types of analysis and critical analysis techniques

Visualization: Learn how to translate business requirements to create the appropriate visualization in the form of a report or dashboard with the proper design components

Data Governance, Quality, & Controls: Increase your ability to summarize important data governance concepts and apply data quality control concepts

Jobs You Can Land With CompTIA Data+ :

Data Architect

Data Analyst

Data Scientist

Business Analyst Reporting

Analyst Operations Analyst

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.

CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience.

This course will provide you with full coverage of the five domains of the CompTIA Data+ (DA0-001) Certification exam:

Data Concepts and Environments (15%)

Data Mining (25%)

Data Analysis (23%

Visualization (23%)

Data Governance, Quality, & Controls (14%)

FAQs about CompTIA Data+

What is CompTIA Data+?
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

What is the difference between Data+ and DataSys+?

While both certifications are in the field of data management, the CompTIA DataSys+ is designed for database administrators, and the CompTIA Data+ is tailored for data analysts.

How difficult is the CompTIA Data+ exam?

If you are considering a career in data, the CompTIA Data+ certification is a great way to get started. It is a challenging exam, but it is well worth the effort. By passing the CompTIA Data+ exam, you will demonstrate your skills and knowledge to employers and set yourself up for success in a growing field.

Is CompTIA data Plus worth IT?

Acquiring the CompTIA Data+ certification positions you as a valuable asset for prospective employers. Across diverse sectors, including technology, healthcare, finance, and marketing, there is a demand for individuals capable of deciphering extensive data and transforming it into actionable business insights.

Why do you want to take this Course?

Our answer is simple: The quality of teaching.

London-based OAK Academy is an online training company. OAK Academy provides IT, Software, Design, and development training in English, Portuguese, Spanish, Turkish, and many languages on the Udemy platform, with over 1000 hours of video training courses.

OAK Academy not only increases the number of training series by publishing new courses but also updates its students about all the innovations of the previously published courses.

When you sign up, you will feel the expertise of OAK Academy’s experienced developers. Our instructors answer questions sent by students to our instructors within 48 hours at the latest.

Quality of Video and Audio Production

All our videos are created/produced in high-quality video and audio to provide you with the best learning experience.

In this course, you will have the following:

? Lifetime Access to the Course

? Quick and Answer in the Q&A Easy Support

? Udemy Certificate of Completion Available for Download

? We offer full support by answering any questions.

Now dive into the ” CompTIA Data+ (DA0-001) | CompTIA Data Certification Course “ Course

CompTIA Data – Learn Data Concepts, Data Visualization, Data Analysis & Statistics and pass the Data+ certification exam

We offer full support by answering any questions.

See you at the Course!

Course Curriculum

Chapter 1: Identify basic concepts of data schemas and dimensions

Lecture 1: Data Schemas

Lecture 2: Relational Databases Schemas

Lecture 3: Non-Relational Databases

Lecture 4: Comparing Databases

Lecture 5: Data Processing(OLTP & OLAP)

Lecture 6: Data Warehouse

Lecture 7: Data Mart

Lecture 8: Schema Concepts(Snowflake & Star)

Lecture 9: Data Lake

Lecture 10: Slowly changing dimensions

Chapter 2: Compare and contrast different data types

Lecture 1: Quantitative Data

Lecture 2: Qualitative Data

Lecture 3: Data Types

Lecture 4: Can we convert data types?

Chapter 3: Compare and contrast common data structures and file formats

Lecture 1: Data Structures

Lecture 2: Data File Formats-Text/Flat File

Lecture 3: Review Data Languages: Lesson 1

Lecture 4: Review Data Languages: Lesson 2

Chapter 4: Explain data acquisition concepts

Lecture 1: Explain data acquisition concepts

Lecture 2: Extracting Data

Lecture 3: Transforming Data

Lecture 4: Loading Data(Full Load & Delta Load)

Lecture 5: Application programming interfaces (APIs)

Lecture 6: Web Scraping

Lecture 7: Machine Data

Lecture 8: Public Data

Lecture 9: Survey Data

Lecture 10: Sampling & Observation

Chapter 5: Cleansing and Profiling Datasets

Lecture 1: Cleansing and Profiling Datasets

Lecture 2: Data Profiling Steps

Lecture 3: Tools that Simplify The Data Profiling Process

Lecture 4: Redundant Data

Lecture 5: Dublicate Data

Lecture 6: Missing Values

Lecture 7: Invalid Data

Lecture 8: Non-parametric Data

Lecture 9: Data Outliers

Lecture 10: Specification mismatch

Chapter 6: Data Manipulation Techniques.

Lecture 1: Data Manipulation Techniques.

Lecture 2: Recording Data

Lecture 3: Derived Variables

Lecture 4: Data Merge

Lecture 5: Data Blending

Lecture 6: Concatenation

Lecture 7: Data Append

Lecture 8: Value ?mputation

Lecture 9: Reduction/Aggregation

Chapter 7: Common Techniques for Data Manipulation

Lecture 1: Filtering

Lecture 2: Data Sorting

Lecture 3: Date Functions

Lecture 4: Logical functions

Lecture 5: Aggregate Functions

Lecture 6: System Functions

Lecture 7: Query OptimizationQuery Optimization

Lecture 8: Parameterization

Lecture 9: Indexing

Lecture 10: Temporary table in the query set

Lecture 11: Subset of records

Lecture 12: Execution Plan

Chapter 8: Summarize types of analysis and key analysis techniques.

Lecture 1: Data Analysis

Lecture 2: Exploratory Data Analysis(EDA)

Lecture 3: Sentiment Analysis

Lecture 4: Perfomance Analysis

Lecture 5: Diagnostic Analysis

Lecture 6: Gap Analysis

Lecture 7: Trend Analysis

Lecture 8: Link Anlysis

Chapter 9: Descriptive Statistical Methods

Lecture 1: Descriptive Statistical Methods

Lecture 2: Measures of Central Tendency(Mean, Median, Mode)

Lecture 3: Why is Central Tendency Important?

Lecture 4: Measures of dispersion

Lecture 5: Frequencies/Percentages

Lecture 6: Percent change / Percent Difference

Lecture 7: Confidence intervals

Chapter 10: Inferential Statistical Methods

Lecture 1: Inferential Statistical Methods

Lecture 2: T-tests

Lecture 3: Z-Score

Lecture 4: P-Values

Lecture 5: Chi-squared

Lecture 6: Hypothesis Testing

Lecture 7: Linear Regression

Instructors

Oak Academy
Web & Mobile Development, IOS, Android, Ethical Hacking, IT

OAK Academy Team
instructor

Ali? CAVDAR
DATA SCIENTIST AND IT INSTRUCTOR

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 7 votes

5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!