Description

Price:   10.00 USD | Size: 6.95 GB  |  Duration :  17+ Hours  |142 Video Lessons | ⭐️⭐️⭐️⭐️⭐️ 4.9

BRAND : Expert TRAINING | ENGLISH |  Bonus : CompTIA Data+ PDF Guides  & Practice Tests | INSTANT DOWNLOAD

 

 

This entry-level CompTIA Data+ (DA0-001) training prepares learners to collect, analyze, and visualize data that helps their company achieve goals and clarify complex business decisions.

Companies turn to data analysts to help clarify complex situations or muddy circumstances. That’s a big responsibility for someone to carry, and if you’re not well trained, you could be the reason your organization makes a poor decision.

And while the world of data analytics is vast and convoluted when it comes to training resources, you can take the guesswork out of the equation by following a structured path laid out by one of the most well-known training companies in the world. The Data+ certification from CompTIA will validate your ability to implement and facilitate data-driven decision making.

By using CBT Nuggets training, you can prepare for the CompTIA Data+ certification exam.

After completing this CompTIA training, you’ll know how to collect, analyze, and visualize data that helps your company achieve goals and clarify complex business decisions.

For data analytics managers, this CompTIA Data+ training can be used to onboard new data analysts, curated into individual or team training plans, or as a data analysis reference resource.

This CompTIA Data+ (DA0-001) training has videos that cover topics including:

• Mining data from multiple sources
• Manipulating data from its storage to your processing environment
• Presenting the data you’ve processed in clear ways
• Analyzing and processing information with basic statistical models

This CompTIA Data+ (DA0-001) training is considered foundational-level data analysis training, which means it was designed for data analysts. This data analysis skills course is valuable for new IT professionals with at least a year of experience with data analysis and experienced data analysts looking to validate their data analysis skills.

New or aspiring data analysts. If you’re a new or aspiring data analyst, the Data+ certification can teach you the concepts and processes data analysts should be aware of in order to succeed. Taking Data+ training and earning CompTIA’s data analysis certification will help you become familiar and comfortable with data mining, data analysis, and data visualization.

Experienced data analysts. If you’ve been working in data analysis for several years, you may already have the knowledge and experience needed to pass the Data+ certification. If that’s the boat you’re in, this Data+ certification training can be used to not only reinforce the knowledge you have, but also to look at the concepts you already know through the lens of a well-structured process built around data-driven decision making.

Understanding Data and Information

1. Introduction

1 min

2. Data and Information

9 mins

3. Structured and Unstructured Data

7 mins

4. Tabular Data

5 mins

5. Key/Value Pairs

7 mins

6. Bonus Materials

18 mins

Explain Data Types

1. Data Concepts and Environments

1 min

2. Numeric Data

12 mins

3. Text Data

8 mins

4. Discrete and Continuous Data

7 mins

5. Dates and Times

6 mins

6. Multimedia

5 mins

Identify File Formats

1. Introduction

3 mins

2. Text Data

9 mins

3. JSON Files

8 mins

4. HTML

8 mins

5. XML

6 mins

Explain Data Storage

1. Introduction

1 min

2. Relational Databases

10 mins

3. OLTP and OLAP

12 mins

4. Non-Relational Databases

7 mins

5. Schemas and Dimensions

8 mins

6. Extra Resources

1 min

Collect and Integrate Data

1. Introduction

1 min

2. ETL and ELT

9 mins

3. Public Datasets

9 mins

4. APIs

8 mins

5. Web Scraping

9 mins

6. Surveys and Observations

5 mins

7. Sampling

6 mins

Clean and Profile Datasets

1. Introduction

3 mins

2. Handling Duplicate Data

12 mins

3. Null or Missing Values

11 mins

4. Errors and Outliers

14 mins

5. Working with Outliers

5 mins

Manipulate Data

1. Introduction

2 mins

2. Working with Strings

11 mins

3. Working with Dates

14 mins

4. Base and Derived Data

5 mins

5. Joining Datasets

6 mins

6. Bonus Resources

3 mins

Recode, Sort, Filter, and Aggregate Data

1. Introduction

2 mins

2. Recoding Data

7 mins

3. Sorting Data

14 mins

4. Filtering Data

7 mins

5. Aggregating Data

7 mins

6. Challenge

9 mins

Optimize Data

1. Introduction

1 min

2. Indexing

13 mins

3. Subsets

10 mins

4. Query Execution Plans

13 mins

5. Parameterization

9 mins

Describe Measures of Central Tendencies

1. Introduction

1 min

2. Measures of Central Tendency

5 mins

3. Mode

5 mins

4. Median

7 mins

5. Mean

6 mins

6. Centrality and Distributions

5 mins

7. Centrality and Outliers

5 mins

8. Challenge

8 mins

Describe Measures of Dispersion

1. Introduction

2 mins

2. Range

9 mins

3. Variance Part 1

6 mins

4. Variance Part 2

7 mins

5. Standard Deviation

9 mins

6. Z-score

7 mins

7. Percentages

6 mins

Explain Inferential Statistics

1. Introduction

2 mins

2. Confidence Intervals Part 1

5 mins

3. Confidence Intervals Part 2

7 mins

4. Hypothesis Testing Part 1

8 mins

5. Hypothesis Testing Part 2

8 mins

6. T-test Part 1

6 mins

7. T-test Part 2

5 mins

Apply Inferential Statistics

1. Introduction

3 mins

2. A/A Testing

9 mins

3. A/B Testing Part 1

9 mins

4. A/B Testing Part 2

6 mins

5. Correlation Testing

9 mins

6. Simple Linear Regression

5 mins

Explore Analysis Techniques

1. Introduction

2 mins

2. Business Questions

7 mins

3. EDA (Exploratory Data Analysis)

13 mins

4. Excel EDA

8 mins

5. Python EDA

6 mins

6. Analysis Types

6 mins

Identify Data Analytics Tools

1. Introduction

2 mins

2. Spreadsheets

5 mins

3. Programming Languages Part 1

6 mins

4. Programming Languages Part 2

2 mins

5. SQL (Structures Query Language)

6 mins

6. Machine Learning

9 mins

7. Other Analytics Tools

6 mins

8. Bonus Resources

4 mins

Explain Business Requirements and Reports

1. Introduction

2 mins

2. Meeting Requirements Part 1

7 mins

3. Meeting Requirements Part 2

6 mins

4. Building Cover Pages

10 mins

5. Applying Design Basics

13 mins

6. Including Documentation

7 mins

Explain Dashboarding

1. Introduction

1 min

2. Dashboard Basics

9 mins

3. Dashboard Design

5 mins

4. Building Dashboards

9 mins

5. Presenting Dashboards

4 mins

6. Bonus Resource

11 mins

Compare Visualizations

1. Introduction

2 mins

2. Line Charts

8 mins

3. Scatterplots and Bubble Charts

7 mins

4. Pie Charts and Heat Maps

10 mins

5. Bar Charts and Histograms

7 mins

6. Tree Maps, Word Clouds, and Infographics

7 mins

Describe Data Governance Concepts

1. Introduction

3 mins

2. Data Governance

9 mins

3. Data Governance Roles

6 mins

4. Data Owner

11 mins

5. Data Steward

5 mins

6. Data Custodian

5 mins

7. Challenge

3 mins

Describe Data Quality Control Concepts

1. Introduction

2 mins

2. Master Data Management

15 mins

3. Data Dictionary

8 mins

4. Maintaining Data Quality

11 mins

5. Data Quality Validation

10 mins

Identify Data Security Concepts

1. Introduction

1 min

2. What is Data Security?

9 mins

3. Data Confidentiality

10 mins

4. Access Management

13 mins

5. Access Control Models

14 mins

Identify Data Privacy Concepts

1. Introduction

2 mins

2. What is Data Privacy?

11 mins

3. Data Privacy Principles

13 mins

4. Anonymized Data

8 mins

5. Data Obfuscation

7 mins

Explain Regulations and Compliance

1. Introduction

3 mins

2. Regulatory Compliance Concepts

10 mins

3. Data Breaches

10 mins

4. The Gramm-Leach-Biley Act (GLBA)

6 mins

5. Health Insurance Portability and Accountability Act (HIPAA)

7 mins

6. Family Educational Rights and Privacy Act (FERPA)

6 mins

7. International Data Transfers

6 mins