CompTIA Data+ Certification Training

CompTIA Data+ Certification Training, available at $69.99, has an average rating of 3.8, with 57 lectures, 4 quizzes, based on 54 reviews, and has 769 subscribers.

You will learn about You will be able to analyze and interpret complex datasets You will to be more efficient at analyzing and interpreting data You will be able to apply basic statistical methods You will be able to mine and manipulate data This course is ideal for individuals who are Students interested in passing the CompTIA Data+ exam (DA0-001) It is particularly useful for Students interested in passing the CompTIA Data+ exam (DA0-001).

Enroll now: CompTIA Data+ Certification Training

Summary

Title: CompTIA Data+ Certification Training

Price: $69.99

Average Rating: 3.8

Number of Lectures: 57

Number of Quizzes: 4

Number of Published Lectures: 57

Number of Published Quizzes: 4

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

You will be able to analyze and interpret complex datasets

You will to be more efficient at analyzing and interpreting data

You will be able to apply basic statistical methods

You will be able to mine and manipulate data

Who Should Attend

Students interested in passing the CompTIA Data+ exam (DA0-001)

Target Audiences

Students interested in passing the CompTIA Data+ exam (DA0-001)

Welcome to the video training course for the CompTIA Data+ (DA0-001). The Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

This course features:

Theory video training

Follow-along hands-on labs

Four 50-question practice tests

Your course has been created by a data analytics expert with years of experience using Python, JSON, data visualization, statistics, web scraping and data governance. You will learn from an industry expert who can share with you inside tips and tricks and real-world advice.

To qualify, you need to be successful in the below exam:

CompTIA Data+ (DA0-001)

The course covers all the important exam syllabus topics including:

Learn data mining

Understand data types and structures

Learn statistical methods

Common data analytics tools used by experts

Learn data governance and compliance

WHAT WILL YOU BE ABLE TO DO?

The data analyst is responsible for collecting, analyzing, and reporting on data that can drive business priorities and lead to intelligent decision-making. CompTIA Data+ validates certified professionals have the skills required to facilitate data-driven business decisions, including:

Mining data

Manipulating data

Applying basic statistical methods

Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle

JOBS YOU CAN APPLY FOR

Data Analyst

Reporting Analyst

Marketing Analyst

Business Intelligence Analyst

EXAM INFO

Exam Code: DA0-001

Max. 90 questions (multiple-choice, drag-and-drop, and performance-based)

Length of exam: 90 minutes

Passing score: 675 (on a scale of 100-900)

Recommended experience: 18-24 months’ hands-on experience in a lab or in the field

Course Curriculum

Chapter 1: Data Concepts and Environments

Lecture 1: Relational Databases

Lecture 2: Non-relational Databases

Lecture 3: Online Transactional Processing (OLTP) & Online Analytical Processing (OLAP)

Lecture 4: Star & Snowflake schemas

Lecture 5: Data types: Date

Lecture 6: Data Types: Numerics and Currency

Lecture 7: Data Types: Discrete and Continuous Values

Lecture 8: Data Types: Text, Audio, Image, Video

Lecture 9: Data File Formats: Text/Flat Files, JSON

Lecture 10: Data File Formats: XML, HTML

Chapter 2: Data Mining

Lecture 1: ETL vs ELT, Delta Load

Lecture 2: Application Programming Interface (API)

Lecture 3: Pulling Data from an API

Lecture 4: Web Scraping: Example of a Web-pages HTML Code

Lecture 5: Web Scraping: Scraping Sample Webpage

Lecture 6: Web Scraping: Scraping Real Webpage

Lecture 7: Sampling: Probabilistic Sampling

Lecture 8: Sampling: Non-Probabilistic Sampling

Lecture 9: Duplicate and Redundant Data

Lecture 10: Missing Values, Outliers

Lecture 11: Specification Mismatch, Data Type Validation

Lecture 12: Data Manipulations: Filtering and Sorting

Lecture 13: Data Manipulations: Logical Operations and Aggregation

Lecture 14: Query Optimization

Chapter 3: Data Analysis

Lecture 1: Measures of Central Tendency

Lecture 2: Probability Distributions

Lecture 3: Measures of Dispersion

Lecture 4: Confidence Intervals

Lecture 5: Hypothesis Testing

Lecture 6: Statistical Tests and Scores – 1 (t-test)

Lecture 7: Statistical Tests and Scores – 2 (z-test)

Lecture 8: Statistical Tests and Scores – 3 (chi-squared)

Lecture 9: Correlation

Lecture 10: Linear Regression

Lecture 11: Types of Analysis

Lecture 12: Common Data-Analytics Tools – 1

Lecture 13: Common Data-Analytics Tools – 2

Chapter 4: Visualization

Lecture 1: Plot Types: Scatterplots

Lecture 2: Plot Types: Line Plots

Lecture 3: Plot Types: Pie Charts

Lecture 4: Plot Types: Bar Charts – Charts and Histograms

Lecture 5: Plot Types: Advanced Barcharts

Lecture 6: Plot Types: Heat Maps, Geographic Maps and Treemaps

Lecture 7: Plot Types: Waterfall, Infographic and World Cloud

Lecture 8: Appropriate Design Components: Color Schemes

Lecture 9: Appropriate Design Components: Overplotting Solutions

Lecture 10: Appropriate Design Components: Key Chart Elements

Lecture 11: Optimal Dashboard Development

Lecture 12: Report Types

Chapter 5: Data Governance, Quality, and Controls

Lecture 1: Data Governance Concepts

Lecture 2: Data Quality Dimensions

Lecture 3: Data Quality Validation Methods

Lecture 4: Consolidation of Datasets: Appending and Merging

Lecture 5: Consolidation of Datasets: Joining Tables

Lecture 6: Data Standardization and Data Dictionary

Lecture 7: Data Use Compliance

Lecture 8: Data Centralisation and Streamline Access

Chapter 6: Exams

Instructors

Paul Browning
Cisco Engineer and Internet Entrepreneur

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 6 votes

4 stars: 25 votes

5 stars: 22 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!