CompTIA Data+ Certification Training

Complete Video Course + 200 Practice Questions

4.30 (55 reviews)
Udemy
platform
English
language
IT Certification
category
instructor
CompTIA Data+ Certification Training
776
students
8 hours
content
May 2022
last update
$64.99
regular price

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

Why take this course?

πŸŽ“ [CompTIA Data+ Certification Training] πŸš€

Course Headline:

Complete Video Course + 200 Practice Questions πŸ–₯️🧠


Welcome to Your Journey in Data Analytics!

Are you ready to embark on an exciting journey into the world of data analytics? With the CompTIA Data+ (DA0-001) certification, you'll be equipped with the skills necessary to facilitate data-driven business decisions and lead intelligent decision-making. This comprehensive training course is designed to guide you through every aspect of the exam, ensuring you have a solid understanding of the key concepts and practical experience required.


What You'll Get with Our Course:

βœ… Theory Video Training: Learn from expertly crafted videos that cover all the necessary theoretical aspects of the CompTIA Data+ certification.

βœ… Hands-On Labs: Follow along with practical, hands-on labs that mirror real-world scenarios and reinforce your learning.

βœ… Practice Tests: Benefit from four extensive practice tests with 50 questions each to test your knowledge and prepare you for the actual exam.


Your Instructor:

Paul Browning is not just any instructor; he's a seasoned data analytics expert with years of hands-on experience in Python, JSON, data visualization, statistics, web scraping, and data governance. Paul's industry insights, tips, and tricks are distilled into this course to give you an edge over the competition.


Course Syllabus Breakdown:

πŸ“š Data Mining: Learn to identify trends, patterns, and anomalies in large datasets.

πŸ”’ Data Types and Structures: Understand the various data types and structures used in analytics.

πŸ“Š Statistical Methods: Master the application of basic statistical methods to interpret and report on data.

βš™οΈ Common Data Analytics Tools: Gain familiarity with the tools that data experts use daily.

βœ… Data Governance and Compliance: Learn how to manage and oversee data throughout its lifecycle, ensuring it meets governance and quality standards.


What Will You Be Able To Do After Mastering CompTIA Data+?

As a certified professional, you'll be capable of:

πŸ” Collecting and Analyzing Data: You'll be able to gather data from various sources and analyze it for meaningful insights.

πŸ› οΈ Manipulating Data: Gain the skills to manipulate data effectively to present it in a clear and actionable manner.

πŸ“ˆ Applying Statistical Methods: Use statistical analysis to make informed business decisions.

πŸ“‘ Analyzing Complex Datasets: Handle complex datasets with precision, adhering to governance and quality standards.


Job Opportunities After Obtaining CompTIA Data+ Certification:

πŸ’Ό Data Analyst: Analyze data to support business objectives and enhance decision-making processes.

πŸ“Š Reporting Analyst: Turn raw data into actionable reports that help drive strategy.

πŸš€ Marketing Analyst: Use data-driven insights to optimize marketing campaigns and strategies.

πŸ’‘ Business Intelligence Analyst: Leverage analytics tools and methodologies to inform business decisions.


Exam Info for CompTIA Data+ (DA0-001):

πŸ”‘ Exam Code: DA0-001

⏱ Length of Exam: 90 minutes

πŸŽ“ Passing Score: 675 (on a scale of 100-900)

πŸ› οΈ Recommended Experience: 18-24 months of hands-on experience in a lab or field setting.


Embark on your data analytics career with the expertise and confidence you need with our CompTIA Data+ Certification Training. Sign up today and unlock the full potential of your data analysis capabilities! 🌟

Related Topics

4659736
udemy ID
26/04/2022
course created date
10/05/2022
course indexed date
Bot
course submited by