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

CompTIA Data - Learn Data Concepts, Data Visualization, Data Analysis ; Statistics and pass the Data+ certification exam

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

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

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!

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 İmputation .
  • 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 Show moreShow less.