CompTIA Data+

: 40 Hours
: AI Tutor, Self Paced, Instructor, Classroom
: Intermediate
: Available Immediately

R6159,78R7500,00

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CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. Data+ is an ideal certification for not only data-specific careers but other career paths outside of IT can also benefit from analytics processes and data analytics knowledge.CompTIA Data+ gives your team members the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive your organization’s priorities and lead business decision-making.

CompTIA Data+ is the only data analyst certification that covers baseline data analytics skills, assesses hands-on abilities and is vendor neutral. Vendor-neutral certifications provide analyst skills needed to perform various job roles regardless of the specific programs and tools being used. Compare this to vendor-specific certifications, which equip your team to work with just one platform (such as SAS, Tableau, or Microsoft).

Anyone working in a role that analyses business-specific data, provides management with data analytics on business functions, or analyses and monitors dashboards, results and trends can benefit from becoming CompTIA Data+ certified. Its value extends well beyond the IT team to employees in finance, marketing, manufacturing, operations, sales and other departments tasked with data responsibilities.Individuals whom are early career and career- transioning individuals who may specialize in core business function, have hands-on experience with Data Analytics software (e.g., PowerBI, Tableau) or those who want responsibility for using data to illustrate business operations or performance.

Prerequisites

CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience.

CompTIA Data+ course and lab are designed to come in handy as a CompTIA Data+ study guide. uCertify’s CompTIA Data+ is a complete learning path for you by including all the subject areas on which the DA0-001 exam is based and it contains performance labs to give you a complete understanding of data analysis and business intelligence reporting roles. The course enhances the latest knowledge and skills of data professionals

Here’s what you will get

The CompTIA Data+ exam validates the ability of a candidate to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

Lessons

9+ Lessons | 307+ Exercises | 150+ Quizzes | 191+ Flashcards | 91+ Glossary of terms

TestPrep

50+ Pre Assessment Questions | 2+ Full Length Tests | 90+ Post Assessment Questions | 180+ Practice Test Questions

Hand on lab

25+ LiveLab | 8+ Video tutorials | 10+ Minutes

Here’s what you will learn

Lessons 1: Introduction

  • The Data+ Exam
  • What Does This Course Cover?
  • Exam DA0-001 Exam Objectives
  • DA0-001 Certification Exam Objective Map

Lessons 2: Today’s Data Analyst

  • Welcome to the World of Analytics
  • Careers in Analytics
  • The Analytics Process
  • Analytics Techniques
  • Data Governance
  • Analytics Tools
  • Summary

Lessons 3: Understanding Data

  • Exploring Data Types
  • Common Data Structures
  • Common File Formats
  • Summary
  • Exam Essentials

Lessons 4: Databases and Data Acquisition

  • Exploring Databases
  • Database Use Cases
  • Data Acquisition Concepts
  • Working with Data
  • Summary
  • Exam Essentials

Lessons 5: Data Quality

  • Data Quality Challenges
  • Data Manipulation Techniques
  • Managing Data Quality
  • Summary
  • Exam Essentials

Lessons 6: Data Analysis and Statistics

  • Fundamentals of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Analysis Techniques
  • Summary
  • Exam Essentials

Lessons 7: Data Analytics Tools

  • Spreadsheets
  • Programming Languages
  • Statistics Packages
  • Machine Learning
  • Analytics Suites
  • Summary
  • Exam Essentials

Lessons 8: Data Visualization with Reports and Dashboards

  • Understanding Business Requirements
  • Understanding Report Design Elements
  • Understanding Dashboard Development Methods
  • Exploring Visualization Types
  • Comparing Report ?Types
  • Summary
  • Exam Essentials

Lessons 9: Data Governance

  • Data Governance Concepts
  • Understanding Master Data Management
  • Summary
  • Exam Essentials

Hands-on LAB Activities

Today’s Data Analyst

  • Understanding Data Analytics Techniques

Understanding Data

  • Understanding Data Types
  • Identifying Categories of Data
  • Understanding Common Data Structures

Databases and Data Acquisition

  • Creating a Data Model through ERD
  • Normalizing Data from 2NF to 3NF
  • Normalizing Data from 1NF to 2NF
  • Normalizing Unnormalized Data to 1NF
  • Sorting Data
  • Removing Unnecessary Data
  • Updating Existing Data
  • Retrieving Specific Data

Data Quality

  • Eliminating Redundant Data
  • Concatenating Data
  • Understanding Data Quality

Data Analysis and Statistics

  • Performing Data Analysis
  • Understanding Descriptive Statistics

Data Analytics Tools

  • Saving Data in Excel
  • Representing Data
  • Analyzing Data Using Python
  • Identifying SQL Commands in Data Analytics

Data Visualization with Reports and Dashboards

  • Visualizing Data Using a Line Chart
  • Visualizing Data Using a Histogram
  • Visualizing Data Using a Bar Chart

Data Governance

  • Understanding Laws in Data Governance
Training Method

AI Tutor, Self Paced, Instructor-led

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