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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


Oak Academy

Summary

Price
£50 inc VAT
Or £16.67/mo. for 3 months...
Study method
Online, On Demand What's this?
Duration
13.8 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free

Add to basket or enquire

Overview

EXPLANATION

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.

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%)

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

20
sections
181
lectures
13h 49m
total
    • 1: Data Schemas 03:53
    • 2: Relational Databases Schemas 07:35
    • 3: Non-Relational Databases 06:25
    • 4: Comparing Databases 05:07
    • 5: Data Processing(OLTP & OLAP) 06:33
    • 6: 6 Data Warehouse 06:45
    • 7: Data Mart 03:37
    • 8: Schema Consepts(Snowflake & Star) 07:40
    • 9: Data Lake 07:43
    • 10: Slowly changing dimensions 05:34
    • 11: quiz 01:00
    • 12: Quantitative Data 03:57
    • 13: Qualitative Data 06:17
    • 14: Data Types 05:21
    • 15: Can we convert data types_ 02:31
    • 16: quiz 01:00
    • 17: Data Structures 06:59
    • 18: Data File Formats Text Flat File 04:05
    • 19: Review Data Languages Lesson 1 07:48
    • 20: Review Data Languages Lesson 2 06:36
    • 21: quiz 01:00
    • 22: Explain data acquisition concepts 05:06
    • 23: Extracting Data 04:28
    • 24: Transforming Data 05:39
    • 25: Loading Data(Full Load & Delta Load) 06:12
    • 26: Application programming interfaces (APIs) 05:49
    • 27: Web Scraping 05:38
    • 28: Machine Data 03:09
    • 29: Public Data 05:38
    • 30: Survey Data 07:00
    • 31: Sampling and Observation 06:48
    • 32: quiz 01:00
    • 33: Cleansing and Profiling Datasets 04:14
    • 34: Data Profiling Steps 04:23
    • 35: Tools that Simplify The Data Profiling Process 03:30
    • 36: Redundant Data 03:06
    • 37: Dublicate Data 03:44
    • 38: Missing Values 09:07
    • 39: Invalid Data 04:55
    • 40: Non-parametric Data 03:24
    • 41: Data Manipulation Techniques 03:23
    • 42: Data Outliers 06:51
    • 43: quiz 02:00
    • 44: Specification mismatch 04:19
    • 45: Recording Data 10:24
    • 46: Derived Variables 04:01
    • 47: Data Merge 02:20
    • 48: Data Blending 02:14
    • 49: Concatenation 03:02
    • 50: Data Append 01:39
    • 51: Value Imputation 05:07
    • 52: Reduction Aggregation 04:04
    • 53: quiz 01:00
    • 54: Filtering 02:49
    • 55: Data Sorting 02:30
    • 56: Date Functions 02:43
    • 57: Logical functions 10:05
    • 58: Aggregate Functions 06:53
    • 59: System Functions 01:05
    • 60: Query Optimization 04:00
    • 61: Parameterization 04:36
    • 62: Indexing 04:47
    • 63: Temporary table in the query set 04:03
    • 64: Subset of records 04:59
    • 65: Execution Plan 04:05
    • 66: quiz 01:00
    • 67: Data Analysis 07:49
    • 68: Exploratory Data Analysis(EDA) 04:29
    • 69: Sentiment Analysis 03:34
    • 70: Perfomance Analysis 04:10
    • 71: Diagnostic Analysis 04:34
    • 72: Gap Analysis 03:30
    • 73: Trend Analysis 03:28
    • 74: Link Anlysis 03:18
    • 75: quiz 01:00
    • 76: Descriptive Statistical Methods. 04:36
    • 77: Measures of Central Tendency(Mean, Median, Mode) 05:39
    • 78: Why is Central Tendency Important_ 06:19
    • 79: Measures of dispersion 10:58
    • 80: Frequencies Percentages 03:38
    • 81: Percent change Percent Difference 02:25
    • 82: Confidence intervals 02:54
    • 83: quiz 01:00
    • 84: Inferential Statistical Methods. 04:03
    • 85: T-tests 07:47
    • 86: Z - Score 03:16
    • 87: P - Values 03:57
    • 88: Chi-squared 02:49
    • 89: Hypothesis Testing 05:30
    • 90: Linear Regression 03:17
    • 91: Correlation 03:39
    • 92: quiz 01:00
    • 93: Data Analytics Tools 01:26
    • 94: Data Transformation Tools(Excel-Tableau) 08:36
    • 95: Data Transformation Tools(Power BI ve Rapid Miner) 05:06
    • 96: Data Visualization Tools(Tableau, Power BI) 09:11
    • 97: Data Visualization Tools(Qlik, AWS QuickSight, ArcGIS) 08:32
    • 98: Statistical Tools 03:47
    • 99: Statistical Tools(SAS, IBMSPSS) 06:16
    • 100: Statistical Tools(Stata, Minitab) 04:33
    • 101: Reporting Tools 03:11
    • 102: Reporting Tools(SSRS, Crystal Reports ve Power BI) 08:40
    • 103: Platform Tools 02:52
    • 104: Platform Tools(Business Objects, MicroStrategy) 07:15
    • 105: Platform Tools(Oracles Apex, Dataroma) 04:50
    • 106: Platform Tools(IBM Cognos, Rapid Miner) 05:19
    • 107: Platform Tools(Oracle Analytics, Domo ve Microsoft Power platform) 06:18
    • 108: quiz 01:00
    • 109: Visualization-Creating Reports 04:20
    • 110: Data Content 03:08
    • 111: Data Filtering 12:32
    • 112: Data Sorting 10:55
    • 113: Views 02:44
    • 114: Data Range 02:44
    • 115: Frequency 03:15
    • 116: Audience for Report 05:38
    • 117: quiz 01:00
    • 118: Visualization-Creating Dashboards 02:27
    • 119: Report cover page 03:09
    • 120: Design Elements Lesson 1 03:49
    • 121: Design Elements Lesson 2 07:24
    • 122: Documentation Elements 07:53
    • 123: quiz 01:00
    • 124: Dashboard Considerations 02:23
    • 125: Data sources and attributes 03:14
    • 126: Continuous live Data Feed vs. Static Data 03:39
    • 127: Development Process 02:34
    • 128: Mockup wireframe 04:53
    • 129: Approval granted 03:01
    • 130: Develop Dashboard 02:32
    • 131: Deploy to production 03:03
    • 132: Subscription and Scheduled delivery 06:05
    • 133: Interactive 06:26
    • 134: Static & Web interface 03:02
    • 135: Dashboard optimization & Access permissions 03:29
    • 136: quiz 02:00
    • 137: Visualization Type 02:59
    • 138: Line Chart 02:30
    • 139: Pie Chart – Bubble Chart 03:26
    • 140: Scatter Plot-Bar Chart 03:41
    • 141: Histogram-Waterfall 03:27
    • 142: Heat map - Geographic map 03:49
    • 143: Tree map - Stacked chart 04:14
    • 144: Infographic - Word cloud 04:54
    • 145: quiz 01:00
    • 146: Compare and contrast types of reports. 03:57
    • 147: Static vs. dynamic reports 03:33
    • 148: Ad-hoc one-time report 03:30
    • 149: Self-service on demand 03:22
    • 150: Recurring Reports 03:23
    • 151: Tactical Research report 03:02
    • 152: quiz 02:00
    • 153: Data Governance, Quality, and Controls 02:53
    • 154: Data Lifecycle 03:34
    • 155: quiz 01:00
    • 156: Access Requirements 06:18
    • 157: Security Requirements 07:15
    • 158: Storage environment requirements 04:41
    • 159: Use Requirements 04:50
    • 160: Data Process 03:04
    • 161: Data Retention 02:09
    • 162: Entity Relationship Requirements 05:55
    • 163: Data Classification 11:38
    • 164: Jurisdiction Requirements 06:07
    • 165: Data Breach Reporting 05:50
    • 166: quiz 01:00
    • 167: Data Quality Control Concepts. 04:37
    • 168: Circumstances to check for quality- Lesson 1 07:25
    • 169: Circumstances to check for quality- Lesson 2 04:06
    • 170: Circumstances to check for quality- Lesson 3 06:20
    • 171: Automated Validation 07:03
    • 172: Data Quality Dimensions 06:49
    • 173: Data quality rule and metrics 09:58
    • 174: Cross validation & Sample Spot Check 06:15
    • 175: Reasonable expectations & Data profiling 05:53
    • 176: Data audits & Peer Review 05:38
    • 177: quiz 01:00
    • 178: Explain master data management (MDM) concepts. 03:46
    • 179: Processes 11:35
    • 180: Circumstances for MDM 09:10
    • 181: quiz 02:00

Course media

Description

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



EXPLANATION

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.

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 reedplatform, 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

• 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!

Who is this course for?

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

Information Technology Professionals

Database Engineers

Requirements

Basic Knowledge of Mathematics

Any device where you can watch the lesson, such as a mobile phone, computer or tablet.

Internet Connection

Understand how to read graphs

Learning determination and patience.

Watch the course videos completely and in order.

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Reviews

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.