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DA0-001: Data+

PDFs and exam guides are not so efficient, right? Prepare for your CompTIA examination with our training course. The DA0-001 course contains a complete batch of videos that will provide you with profound and thorough knowledge related to CompTIA certification exam. Pass the CompTIA DA0-001 test with flying colors.

136 Students Enrolled 160 Lectures 13:03:38 Hours

Curriculum For This Course

1

Intorduction to CompTIA Data+ (DA0-001)

2Lectures

Time 00:14:33

2

Data Schemas

9Lectures

Time 00:49:17

3

Data Systems

7Lectures

Time 00:43:04

Intorduction to CompTIA Data+ (DA0-001)
	1. Welcome	8:40
	2. Exam Tips	5:53

Data Schemas
	1. Data Schemas (OBJ 1.1)	2:37
	2. Relational Databases (OBJ 1.1)	4:29
	3. Non-Relational Databases (OBJ 1.1)	5:01
	4. Comparing Database Types (OBJ 1.1)	4:38
	5. Data Normalization (OBJ 1.1)	5:28
	6. Database Relationships (OBJ 1.1)	5:37
	7. Referential Integrity (OBJ 1.1)	3:52
	8. Data Denormalization (OBJ 1.1)	2:14
	9. Hands-on with Data Schemas (OBJ 1.1)	15:21

Data Systems
	1. Data Systems (OBJ 1.1)	1:00
	2. Data Processing Types (OBJ 1.1)	3:36
	3. Data Warehouse (OBJ 1.1)	7:38
	4. Data Warehouse Schemas (OBJ 1.1)	5:40
	5. Data Lakes (OBJ 1.1)	4:55
	6. Changing Dimensional Data (OBJ 1.1)	5:09
	7. Hands-on with Data Systems (OBJ 1.1)	15:06

Data Types
	1. Data Types (OBJ 1.2 and1.3)	1:12
	2. Quantitative & Qualitative (OBJ 1.2)	5:29
	3. Data Field Types (OBJ 1.2)	7:18
	4. Converting Data (OBJ 1.2)	3:20
	5. Data Structures (OBJ 1.3)	5:51
	6. Data File Formats (OBJ 1.3)	4:06
	7. Data Languages (OBJ 1.3)	12:02
	8. Hands-on with Data Types (OBJ 1.3)	25:03

Data Acquisition
	1. Data Acquisition (OBJ 2.1)	1:51
	2. Extracting Data (OBJ 2.1)	4:31
	3. Transforming Data (OBJ 2.1)	3:56
	4. Loading Data (OBJ 2.1)	6:28
	5. Application Programming Interface (API) (OBJ 2.1)	7:44
	6. Web Scraping (OBJ 2.1)	2:51
	7. Machine Data (OBJ 2.1)	2:24
	8. Public Databases (OBJ 2.1)	6:23
	9. Survey Data (OBJ 2.1)	4:24
	10. Sampling and Observation (OBJ 2.1)	5:36
	11. Hands-on with Data Acquisition (OBJ 2.1)	10:03

Cleansing and Profiling Data
	1. Cleansing and Profiling Data (OBJ 2.2)	1:30
	2. Data Profiling Steps (OBJ 2.2)	4:30
	3. Data Profiling Tools (OBJ 2.2)	2:23
	4. Redundant and Duplicated Data (OBJ 2.2)	5:16
	5. Unnecessary Data (OBJ 2.2)	3:16
	6. Missing Values (OBJ 2.2)	5:11
	7. Invalid Data (OBJ 2.2)	6:17
	8. Meeting Specifications (OBJ 2.2)	2:55
	9. Data Outliers (OBJ 2.2)	5:00
	10. Hands-on with Cleaning and Profiling Data (OBJ 2.2)	13:49

Data Manipulation
	1. Data Manipulation (OBJ 2.3)	1:11
	2. Recoding Data (OBJ 2.3)	8:06
	3. Derived Variables (OBJ 2.3)	3:39
	4. Value Imputation (OBJ 2.3)	4:23
	5. Aggregation and Reduction (OBJ 2.3)	3:32
	6. Data Masking (OBJ 2.3)	4:25
	7. Transposing Data (OBJ 2.3)	3:15
	8. Appending Data (OBJ 2.3)	2:11
	9. Hands-on with Data Manipulation (OBJ 2.3)	14:08

Performing Data Manipulation
	1. Performing Data Manipulation (OBJ 2.3 and 2.4)	1:54
	2. Data Blending (OBJ 2.3 and 2.4)	7:21
	3. Parsing Strings (OBJ 2.3 and 2.4)	3:20
	4. Date Manipulation (OBJ 2.3 and 2.4)	5:30
	5. Conditional Logic (OBJ 2.3 and 2.4)	4:29
	6. Aggregation Functions (OBJ 2.3 and 2.4)	4:02
	7. System Functions (OBJ 2.3 and 2.4)	2:38
	8. Hands-on with Performing Data Manipulation (OBJ 2.3 and 2.4)	12:36

Querying & Filtering Data
	1. Querying & Filtering Data (OBJ 2.4)	1:48
	2. Querying Data (OBJ 2.4)	2:04
	3. Join Types (OBJ 2.4)	5:48
	4. Filtering Data (OBJ 2.4)	2:25
	5. Parameterization (OBJ 2.4)	2:48
	6. Indexing Data (OBJ 2.4)	2:07
	7. Temporary Tables (OBJ 2.4)	2:51
	8. Subsets of Records (OBJ 2.4)	2:26
	9. Query Execution Plan (OBJ 2.4)	2:12
	10. Hands-on with Querying & Filtering Data (OBJ 2.4)	14:13

Types of Analysis
	1. Types of Analysis (OBJ 3.3)	1:48
	2. Determining the Analysis Type (OBJ 3.3)	5:09
	3. Exploratory Analysis (OBJ 3.3)	2:01
	4. Performance Analysis (OBJ 3.3)	4:30
	5. Gap Analysis (OBJ 3.3)	4:30
	6. Trend Analysis (OBJ 3.3)	4:17
	7. Link Analysis (OBJ 3.3)	4:02
	8. Hands-on with Analysis (OBJ 3.3)	11:32

Descriptive Statistical Methods
	1. Descriptive Statistical Methods (OBJ 3.1 and 2)	1:47
	2. Central Tendency (OBJ 3.1)	4:26
	3. Dispersion (OBJ 3.1)	2:07
	4. Standard Deviation (OBJ 3.1)	7:25
	5. Z-score (OBJ 3.2)	2:19
	6. Distribution (OBJ 3.1)	3:36
	7. Frequency (OBJ 3.1)	2:51
	8. Percentages (OBJ 3.1)	3:13
	9. Confidence Interval (OBJ 3.1)	2:57
	10. Hands-on with Descriptive Statistical Methods (OBJ 3.1)	18:40

Inferential Statistical Methods
	1. Inferential Statistical Methods (OBJ 3.2)	2:47
	2. T-Tests and P-Values (OBJ 3.2)	5:44
	3. Hypothesis Testing (OBJ 3.2)	5:16
	4. Chi-Square (OBJ 3.2)	6:06
	5. Regression Analysis (OBJ 3.2)	2:11
	6. Correlation (OBJ 3.2)	5:21
	7. Hands-on with Inferential Statistical Methods (OBJ 3.2)	8:41

Visualization Types
	1. Visualization Types (OBJ 4.4)	1:24
	2. Pie Chart (OBJ 4.4)	2:00
	3. Tree Map (OBJ 4.4)	2:22
	4. Column and Bar Charts (OBJ 4.4)	3:40
	5. Line Chart (OBJ 4.4)	2:30
	6. Combining Charts (OBJ 4.4)	5:18
	7. Scatter Plot and Bubble Chart (OBJ 4.4)	3:57
	8. Histogram (OBJ 4.4)	3:06
	9. Waterfall (OBJ 4.4)	0:44
	10. Geographic Maps (OBJ 4.4)	4:08
	11. Heat Maps (OBJ 4.4)	2:41
	12. Word Clouds and Infographics (OBJ 4.4)	3:19
	13. Hands-on with Visualization (OBJ 4.4)	14:59

Creating Reports
	1. Creating Reports (OBJ 4.1, 4.3, and 4.5)	1:51
	2. The Audience (OBJ 4.1 and 4.3)	4:52
	3. Data Sources (OBJ 4.3)	4:44
	4. Data Models (OBJ 4.3)	2:12
	5. Data Fields (OBJ 4.3)	3:19
	6. Data Delivery (OBJ 4.3)	3:30
	7. Reporting Frequency (OBJ 4.1)	2:32
	8. Report Types (OBJ 4.5)	7:59

Creating DashBoards
	1. Dashboard Development (OBJ 4.1, 4.2, and 4.3)	2:07
	2. Data Filtering (OBJ 4.1 and 4.3)	6:43
	3. Data Tables (OBJ 4.3)	2:16
	4. Dashboard Design (OBJ 4.2)	6:36
	5. Documenting Dashboards (OBJ 4.2)	3:49
	6. Documentation Elements (OBJ 4.2)	5:27
	7. Report Elements (OBJ 4.2)	5:09
	8. Dashboard Optimization (OBJ 4.3)	3:38
	9. Deploying Dashboards (OBJ 4.3)	2:11
	10. Hands-on with Creating Dashboards (OBJ 4.1, 4.2, and 4.3)	15:07

Data Governance
	1. Data Governance (OBJ 5.1)	1:31
	2. Data Lifecycle (OBJ 5.1)	5:05
	3. Data Roles (OBJ 5.1)	4:49
	4. Regulations and Compliance (OBJ 5.1)	5:07
	5. Data Classification (OBJ 5.1)	5:27
	6. Access Requirements (OBJ 5.1)	4:01
	7. Data Retention and Destruction (OBJ 5.1)	6:05
	8. Data Processing (OBJ 5.1)	5:15
	9. Data Security (OBJ 5.1)	5:34
	10. Data Access (OBJ 5.1)	3:28
	11. Data Storage (OBJ 5.1)	2:46
	12. Entity Relationships (OBJ 5.1)	6:29
	13. Hands-on with Data Governance (OBJ 5.1)	10:45

Data Quality
	1. Data Quality (OBJ 5.2 and 5.3)	1:34
	2. Quality Checks (OBJ 5.2)	4:56
	3. Quality Dimensions (OBJ 5.2)	3:41
	4. Quality Rules and Metrics (OBJ 5.2)	2:12
	5. Data Validation (OBJ 5.2)	3:06
	6. Automated Validation (OBJ 5.2)	2:29
	7. Data Verification (OBJ 5.2)	3:39
	8. Master Data Management (MDM) (OBJ 5.3)	5:03
	9. Streamlining Data Access (OBJ 5.3)	3:54
	10. Data Languages (OBJ 3.4)	1:15
	11. Hands-on with Data Quality (OBJ 5.3)	8:08

Data Analytics Tools
	1. Data Analytics Tools (OBJ 3.4)	2:20
	2. Data Transformation Tools (OBJ 3.4)	2:36
	3. Data Visualization Tools (OBJ 3.4)	3:10
	4. Statistical Tools (OBJ 3.4)	2:37
	5. Reporting Tools (OBJ 3.4)	2:33
	6. Platform Tools (OBJ 3.4)	3:42

Free DA0-001 Exam Questions & CompTIA DA0-001 Dumps
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Pass IT Certication Exams Guaranteed!

DA0-001: Data+

Curriculum For This Course

Free DA0-001 Exam Questions & CompTIA DA0-001 Dumps

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