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CompTIA Data+ (DA0-001) Complete Course & Practice Exam

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Jason Dion • 1 Million+ Enrollments Worldwide,Dion Training Solutions • ATO for ITIL & PRINCE2,Dion Training Solutions • ATO for ITIL & PRINCE2,Sundog Education by Frank Kane,Frank Kane,Sundog Education Team

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  • 001 Welcome.mp4
    11:38
  • 002 CompTIA-Data-Exam-Objectives.pdf
  • 002 CompTIA-Data-Study-Notes.pdf
  • 002 Download Your Free Study Guide.html
  • 003 Exam Tips.mp4
    05:56
  • 001 Data Schemas (OBJ 1.1).mp4
    02:39
  • 002 Relational Databases (OBJ 1.1).mp4
    04:32
  • 003 Non-Relational Databases (OBJ 1.1).mp4
    05:04
  • 004 Comparing Database Types (OBJ 1.1).mp4
    04:40
  • 005 Data Normalization (OBJ 1.1).mp4
    05:30
  • 006 Database Relationships (OBJ 1.1).mp4
    05:40
  • 007 Referential Integrity (OBJ 1.1).mp4
    03:54
  • 008 Data Denormalization (OBJ 1.1).mp4
    02:16
  • 009 Hands-on with Data Schemas (OBJ 1.1).mp4
    15:24
  • 001 Data Systems (OBJ 1.1).mp4
    01:03
  • 002 Data Processing Types (OBJ 1.1).mp4
    04:11
  • 003 Data Warehouse (OBJ 1.1).mp4
    07:39
  • 004 Data Warehouse Schemas (OBJ 1.1).mp4
    05:48
  • 005 Data Lakes (OBJ 1.1).mp4
    04:56
  • 006 Changing Dimensional Data (OBJ 1.1).mp4
    05:11
  • 007 Hands-on with Data Systems (OBJ 1.1).mp4
    15:07
  • 001 Data Types (OBJ 1.2 and1.3).mp4
    01:14
  • 002 Quantitative & Qualitative (OBJ 1.2).mp4
    05:31
  • 003 Data Field Types (OBJ 1.2).mp4
    07:19
  • 004 Converting Data (OBJ 1.2).mp4
    03:17
  • 005 Data Structures (OBJ 1.3).mp4
    06:48
  • 006 Data File Formats (OBJ 1.3).mp4
    04:09
  • 007 Data Languages (OBJ 1.3).mp4
    12:04
  • 008 Hands-on with Data Types (OBJ 1.3).mp4
    25:06
  • 001 Data Acquisition (OBJ 2.1).mp4
    01:52
  • 002 Extracting Data (OBJ 2.1).mp4
    04:33
  • 003 Transforming Data (OBJ 2.1).mp4
    03:58
  • 004 Loading Data (OBJ 2.1).mp4
    06:30
  • 005 Application Programming Interface (API) (OBJ 2.1).mp4
    07:45
  • 006 Web Scraping (OBJ 2.1).mp4
    02:53
  • 007 Machine Data (OBJ 2.1).mp4
    02:26
  • 008 Public Databases (OBJ 2.1).mp4
    06:25
  • 009 Survey Data (OBJ 2.1).mp4
    04:26
  • 010 Sampling and Observation (OBJ 2.1).mp4
    05:38
  • 011 Hands-on with Data Acquisition (OBJ 2.1).mp4
    10:05
  • 001 Cleansing and Profiling Data (OBJ 2.2).mp4
    01:35
  • 002 Data Profiling Steps (OBJ 2.2).mp4
    04:32
  • 003 Data Profiling Tools (OBJ 2.2).mp4
    02:26
  • 004 Redundant and Duplicated Data (OBJ 2.2).mp4
    05:17
  • 005 Unnecessary Data (OBJ 2.2).mp4
    03:17
  • 006 Missing Values (OBJ 2.2).mp4
    05:14
  • 007 Invalid Data (OBJ 2.2).mp4
    06:20
  • 008 Meeting Specifications (OBJ 2.2).mp4
    02:58
  • 009 Data Outliers (OBJ 2.2).mp4
    05:02
  • 010 Hands-on with Cleaning and Profiling Data (OBJ 2.2).mp4
    13:50
  • 001 Data Manipulation (OBJ 2.3).mp4
    01:12
  • 002 Recoding Data (OBJ 2.3).mp4
    08:09
  • 003 Derived Variables (OBJ 2.3).mp4
    03:41
  • 004 Value Imputation (OBJ 2.3).mp4
    04:24
  • 005 Aggregation and Reduction (OBJ 2.3).mp4
    03:34
  • 006 Data Masking (OBJ 2.3).mp4
    04:27
  • 007 Transposing Data (OBJ 2.3).mp4
    03:18
  • 008 Appending Data (OBJ 2.3).mp4
    02:13
  • 009 Hands-on with Data Manipulation (OBJ 2.3).mp4
    14:10
  • 001 Performing Data Manipulation (OBJ 2.3 and 2.4).mp4
    01:58
  • 002 Data Blending (OBJ 2.3 and 2.4).mp4
    07:24
  • 003 Parsing Strings (OBJ 2.3 and 2.4).mp4
    03:23
  • 004 Date Manipulation (OBJ 2.3 and 2.4).mp4
    05:32
  • 005 Conditional Logic (OBJ 2.3 and 2.4).mp4
    04:31
  • 006 Aggregation Functions (OBJ 2.3 and 2.4).mp4
    04:03
  • 007 System Functions (OBJ 2.3 and 2.4).mp4
    02:40
  • 008 Hands-on with Performing Data Manipulation (OBJ 2.3 and 2.4).mp4
    12:38
  • 001 Querying & Filtering Data (OBJ 2.4).mp4
    01:51
  • 002 Querying Data (OBJ 2.4).mp4
    02:06
  • 003 Join Types (OBJ 2.4).mp4
    05:50
  • 004 Filtering Data (OBJ 2.4).mp4
    02:27
  • 005 Parameterization (OBJ 2.4).mp4
    02:50
  • 006 Indexing Data (OBJ 2.4).mp4
    02:09
  • 007 Temporary Tables (OBJ 2.4).mp4
    02:53
  • 008 Subsets of Records (OBJ 2.4).mp4
    02:29
  • 009 Query Execution Plan (OBJ 2.4).mp4
    02:14
  • 010 Hands-on with Querying & Filtering Data (OBJ 2.4).mp4
    14:14
  • 001 Types of Analysis (OBJ 3.3).mp4
    01:33
  • 002 Determining the Analysis Type (OBJ 3.3).mp4
    05:11
  • 003 Exploratory Analysis (OBJ 3.3).mp4
    02:03
  • 004 Performance Analysis (OBJ 3.3).mp4
    04:32
  • 005 Gap Analysis (OBJ 3.3).mp4
    04:31
  • 006 Trend Analysis (OBJ 3.3).mp4
    04:20
  • 007 Link Analysis (OBJ 3.3).mp4
    04:03
  • 008 Hands-on with Analysis (OBJ 3.3).mp4
    11:52
  • 001 Descriptive Statistical Methods (OBJ 3.1 and 2).mp4
    01:49
  • 002 Central Tendency (OBJ 3.1).mp4
    04:28
  • 003 Dispersion (OBJ 3.1).mp4
    02:09
  • 004 Standard Deviation (OBJ 3.1).mp4
    07:27
  • 005 Z-score (OBJ 3.2).mp4
    02:21
  • 006 Distribution (OBJ 3.1).mp4
    03:38
  • 007 Frequency (OBJ 3.1).mp4
    02:54
  • 008 Percentages (OBJ 3.1).mp4
    03:16
  • 009 Confidence Interval (OBJ 3.1).mp4
    02:58
  • 010 Hands-on with Descriptive Statistical Methods (OBJ 3.1).mp4
    18:57
  • 001 Inferential Statistical Methods (OBJ 3.2).mp4
    02:49
  • 002 T-Tests and P-Values (OBJ 3.2).mp4
    05:46
  • 003 Hypothesis Testing (OBJ 3.2).mp4
    05:17
  • 004 Chi-Square (OBJ 3.2).mp4
    06:08
  • 005 Regression Analysis (OBJ 3.2).mp4
    02:13
  • 006 Correlation (OBJ 3.2).mp4
    05:23
  • 007 Hands-on with Inferential Statistical Methods (OBJ 3.2).mp4
    08:53
  • 001 Visualization Types (OBJ 4.4).mp4
    01:27
  • 002 Pie Chart (OBJ 4.4).mp4
    02:03
  • 003 Tree Map (OBJ 4.4).mp4
    02:25
  • 004 Column and Bar Charts (OBJ 4.4).mp4
    03:42
  • 005 Line Chart (OBJ 4.4).mp4
    02:32
  • 006 Combining Charts (OBJ 4.4).mp4
    05:19
  • 007 Scatter Plot and Bubble Chart (OBJ 4.4).mp4
    03:59
  • 008 Histogram (OBJ 4.4).mp4
    03:07
  • 009 Waterfall (OBJ 4.4).mp4
    03:03
  • 010 Geographic Maps (OBJ 4.4).mp4
    04:15
  • 011 Heat Maps (OBJ 4.4).mp4
    02:43
  • 012 Word Clouds and Infographics (OBJ 4.4).mp4
    03:20
  • 013 Hands-on with Visualization (OBJ 4.4).mp4
    15:10
  • 001 Creating Reports (OBJ 4.1, 4.3, and 4.5).mp4
    02:01
  • 002 The Audience (OBJ 4.1 and 4.3).mp4
    04:52
  • 003 Data Sources (OBJ 4.3).mp4
    04:47
  • 004 Data Models (OBJ 4.3).mp4
    02:14
  • 005 Data Fields (OBJ 4.3).mp4
    03:21
  • 006 Data Delivery (OBJ 4.3).mp4
    03:32
  • 007 Reporting Frequency (OBJ 4.1).mp4
    02:34
  • 008 Report Types (OBJ 4.5).mp4
    08:00
  • 009 Hands-on with Creating Reports (OBJ 4.1, 4.3, and 4.5).mp4
    14:48
  • 001 Dashboard Development (OBJ 4.1, 4.2, and 4.3).mp4
    02:09
  • 002 Data Filtering (OBJ 4.1 and 4.3).mp4
    06:45
  • 003 Data Tables (OBJ 4.3).mp4
    02:18
  • 004 Dashboard Design (OBJ 4.2).mp4
    06:38
  • 005 Documenting Dashboards (OBJ 4.2).mp4
    03:51
  • 006 Documentation Elements (OBJ 4.2).mp4
    05:30
  • 007 Report Elements (OBJ 4.2).mp4
    05:11
  • 008 Dashboard Optimization (OBJ 4.3).mp4
    03:41
  • 009 Deploying Dashboards (OBJ 4.3).mp4
    02:13
  • 010 Hands-on with Creating Dashboards (OBJ 4.1, 4.2, and 4.3).mp4
    15:09
  • 001 Data Governance (OBJ 5.1).mp4
    01:33
  • 002 Data Lifecycle (OBJ 5.1).mp4
    05:07
  • 003 Data Roles (OBJ 5.1).mp4
    04:51
  • 004 Regulations and Compliance (OBJ 5.1).mp4
    05:08
  • 005 Data Classification (OBJ 5.1).mp4
    05:29
  • 006 Access Requirements (OBJ 5.1).mp4
    04:04
  • 007 Data Retention and Destruction (OBJ 5.1).mp4
    06:03
  • 008 Data Processing (OBJ 5.1).mp4
    05:18
  • 009 Data Security (OBJ 5.1).mp4
    06:04
  • 010 Data Access (OBJ 5.1).mp4
    03:30
  • 011 Data Storage (OBJ 5.1).mp4
    02:48
  • 012 Entity Relationships (OBJ 5.1).mp4
    07:17
  • 013 Hands-on with Data Governance (OBJ 5.1).mp4
    10:47
  • 001 Data Quality (OBJ 5.2 and 5.3).mp4
    01:35
  • 002 Quality Checks (OBJ 5.2).mp4
    04:56
  • 003 Quality Dimensions (OBJ 5.2).mp4
    03:42
  • 004 Quality Rules and Metrics (OBJ 5.2).mp4
    02:13
  • 005 Data Validation (OBJ 5.2).mp4
    03:08
  • 006 Automated Validation (OBJ 5.2).mp4
    02:31
  • 007 Data Verification (OBJ 5.2).mp4
    03:39
  • 008 Master Data Management (MDM) (OBJ 5.3).mp4
    05:05
  • 009 Streamlining Data Access (OBJ 5.3).mp4
    03:55
  • 010 Hands-on with Data Quality (OBJ 5.3).mp4
    08:09
  • 001 Data Analytics Tools (OBJ 3.4).mp4
    02:22
  • 002 Data Languages (OBJ 3.4).mp4
    01:40
  • 003 Data Transformation Tools (OBJ 3.4).mp4
    02:55
  • 004 Data Visualization Tools (OBJ 3.4).mp4
    03:44
  • 005 Statistical Tools (OBJ 3.4).mp4
    02:51
  • 006 Reporting Tools (OBJ 3.4).mp4
    02:53
  • 007 Platform Tools (OBJ 3.4).mp4
    05:40
  • 001 Conclusion.mp4
    11:09

    • Description

    CompTIA Data+ (DA0-001) exam on your 1st attempt, includes full-length practice exam!

    What You'll Learn?

    • Take and pass the CompTIA Data+ (DA0-001) certification exam
    • Understand data concepts and environments
    • Understand how to conduct data mining
    • Understand how to conduct data analysis
    • Understand how to create and interpret visualizations
    • Understand how to conduct data governance, ensure data quality, and uphold data controls

    Who is this for?

  • Students preparing for the CompTIA Data+ (DA0-001) Certification Exam
  • Data Analysts
  • Database Engineers
  • Data Scientists
  • Cybersecurity Professionals
  • Information Technology Professionals

    • What You Need to Know?

  • Basic understanding of office productivity tools, such as Word and Excel
  • Understand basic mathematics and how to read graphs

    • More details

    Description

    *** Taught by TWO Best Selling Certification Instructors ***


    This course provides everything you need in order to study for the CompTIA Data+ (DA0-001) exam, including a downloadable Study Guide (PDF), quizzes to check your knowledge as you progress through the videos, and a full-length practice exam to test your knowledge before test day!


    Jason Dion is an expert in information technology and cybersecurity with over 20 years of experience, and he has designed this course to be a fun way to learn what you need to know to pass the CompTIA Data+ (DA0-001) exam or to better prepare yourself to serve as a data analyst in your organization's data analysis or business intelligence divisions.


    Frank Kane is a data analytics subject matter expert who has developed and managed technology that automatically delivers product and movie recommendations to hundreds of millions of customers during his tenure at Amazon and IMDb. In this course, he is going to share his extensive experience in distributed computing, data mining, and machine learning and how it applies to your work as a data analyst.


    The CompTIA Data+ (DA0-001) certification is a vendor-neutral certification that validates your knowledge and ability to conduct data analytics to develop and promote data-driven business decision-making in your organization. This certification tests your ability to better analyze and interpret data, communicate insights, and demonstrate competency in the world of data analytics. The CompTIA Data+ exam is designed for early-career data analysts with the equivalent of 12-24 months of on-the-job knowledge.


    The CompTIA Data+ exam is focused on data analytics in order to validate and communicate vital business intelligence by collecting, analyzing, and reporting on data that can drive the organization's priorities and drive their business decisions.


    CompTIA Data+ (DA0-001) is an early-career data analytics certification covering the theory and technical skills required to mine, manipulate, visualize, and report on data using basic statistical methods and complex dataset analysis while adhering to the governance and quality standards for the data throughout its entire life cycle.


    To help you practice for the CompTIA Data+ (DA0-001) exam, this course even comes with a realistic practice exam containing 90 multiple-choice questions spread across the five domains tested by the CompTIA Data+ (DA0-001) certification exam!       


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

    1. Data Concepts and Environments (15%)

    2. Data Mining (25%)

    3. Data Analysis (23%)

    4. Visualization (23%)

    5. Data Governance, Quality, & Controls (14%)

    This course stays current and up-to-date with the latest release of the CompTIA Data+ exam (DA0-001), and also provides a 30-day money-back guarantee if you are not satisfied with the quality of this course for any reason!


    This course is brought to you by Dion Training Solutions, a CompTIA Platinum Delivery Partner, and aligns directly with the OFFICIAL CompTIA Data+ (DA0-001) Certification Study Guide.


    What Other Students Are Saying About Our Courses:

    • Jason Dion always has some of the best courses. This is the third CYSA+ course I bought from different vendors to see which one would help me more and like always this has already caught my attention and kept me focused the entire time. Other courses have too many distracting factors, unlike this one. I will always recommend Jason Dion. (Luis, 5 stars)

    • Great course, very detailed. Passed the exam on the first try. I have recommended this course to everyone I know in the security industry trying to pass the CySA+ exam. (Jose D., 5 stars)

    • I have really enjoyed and learned a lot from this course. I used Jason's course to pass the Network + on my first attempt, I am expecting that this course will enable me to pass the CySA+, too! (Leone W., 5 stars)


    Upon completion of this course, you will earn 14 CEUs towards the renewal of your CompTIA A+, Network+, Security+, Linux+, Cloud+, PenTest+, CySA+, or CASP+ certifications.

    Who this course is for:

    • Students preparing for the CompTIA Data+ (DA0-001) Certification Exam
    • Data Analysts
    • Database Engineers
    • Data Scientists
    • Cybersecurity Professionals
    • Information Technology Professionals

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    Data Science

    Big Data

    Jason Dion • 1 Million+ Enrollments Worldwide
    Jason Dion • 1 Million+ Enrollments Worldwide
    Instructor's Courses
    Jason Dion, CISSP No. 349867, is a former college professor and the lead instructor at Dion Training Solutions. He has multiple information technology professional certifications, including Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), Certified Network Defense Architect (CNDA), Digital Forensic Examiner (DFE), Digital Media Collector (DMC), CySA+, Security+, Network+, A+, PRINCE2 Practitioner, and ITIL. With networking experience dating back to 1992, Jason has been a network engineer, Director of a Network Operations and Security Center, and an Information Systems Officer for large organizations around the globe. He holds a Master’s of Science degree in Information Technology with a specialization in Information Assurance. He lives in Puerto Rico with his wife and two children.
    Dion Training Solutions • ATO for ITIL & PRINCE2
    Dion Training Solutions • ATO for ITIL & PRINCE2
    Instructor's Courses
    Learn Faster and Get CertifiedDue to the design of our materials, you will learn faster and focus your studies on passing your certifications. With our tools and techniques, you will be ready to take and pass your certification exam on your first attempt!Training the Cybersecurity WorkforceWe strive to train the cybersecurity workforce of today and tomorrow. Whether you need to earn your next certification to be competitive for that position, or you just need to do your continuing education to maintain your current certifications, Dion Training is here to support you.
    Dion Training Solutions • ATO for ITIL & PRINCE2
    Dion Training Solutions • ATO for ITIL & PRINCE2
    Instructor's Courses
    Learn Faster and Get CertifiedDue to the design of our materials, you will learn faster and focus your studies on passing your certifications. With our tools and techniques, you will be ready to take and pass your certification exam on your first attempt!Training the Cybersecurity WorkforceWe strive to train the cybersecurity workforce of today and tomorrow. Whether you need to earn your next certification to be competitive for that position, or you just need to do your continuing education to maintain your current certifications, Dion Training is here to support you.
    Sundog Education by Frank Kane
    Sundog Education by Frank Kane
    Instructor's Courses
    Sundog Education's mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
    Frank Kane
    Frank Kane
    Instructor's Courses
    Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.Due to our volume of students, I am unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.
    Sundog Education Team
    Sundog Education Team
    Instructor's Courses
    Our mission is to make highly valuable skills in machine learning, big data, AI, and data science accessible at prices anyone in the world can afford. Our current online courses have reached over 500,000 students worldwide. Sundog Education CEO, Frank Kane, spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaching others about big data analysis.
    Udemy
    Udemy
    View courses Udemy
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 162
    • duration 13:47:14
    • English subtitles has
    • Release Date 2024/02/26

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