Data Analytics Master

(DA-MASTR.AA1) / ISBN : 978-1-64459-556-5
This course includes
Lessons
TestPrep
Hands-On Labs
AI Tutor (Add-on)
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About This Course

The Data Analytics course provides comprehensive training in analyzing and interpreting large datasets to derive actionable insights and make informed business decisions. Covering techniques such as data mining, statistical analysis, machine learning, and visualization, this course equips professionals with the skills needed to extract valuable information from complex data sources. Through hands-on projects participants learn how to leverage data analytics tools and techniques to drive innovation, optimize processes, and achieve strategic goals in various industries.

Skills You’ll Get

Get the support you need. Enroll in our Instructor-Led Course.

Lessons

9+ Lessons | 243+ Exercises | 120+ Quizzes | 191+ Flashcards | 91+ Glossary of terms

TestPrep

60+ Pre Assessment Questions | 2+ Full Length Tests | 140+ Practice Test Questions

Hands-On Labs

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

Key topics

Data Manipulation
Data Visualization
Database Management
Data Analysis Tools
Data Governance
Data Quality Management
Business Intelligence
Data Ethics and Security
Data Control and Management

Prepares for Certifications Exams

uCertify Data Analytics Master

uCertify Data Analytics Master certification validates skills in data management, analytics, and visualization. It demonstrates proficiency in handling and analyzing data to derive valuable insights for businesses and organizations.

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CompTIA Data+ Certification Training

The CompTIA Data+ exam validates proficiency in data analysis and interpretation, covering areas such as data management, visualization, and statistical techniques. It certifies individuals with the essential skills needed to analyze and derive insights from diverse datasets, crucial for making informed business decisions and driving organizational success.        

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1

Introduction

  • The Data Analytics Master Exam
  • The Data+ Exam
2

Today's Data Analyst

  • Welcome to the World of Analytics
  • Careers in Analytics
  • The Analytics Process
  • Analytics Techniques
  • Data Governance
  • Analytics Tools
  • Summary
3

Understanding Data

  • Exploring Data Types
  • Common Data Structures
  • Common File Formats
  • Summary
  • Exam Essentials
4

Databases and Data Acquisition

  • Exploring Databases
  • Database Use Cases
  • Data Acquisition Concepts
  • Working with Data
  • Summary
  • Exam Essentials
5

Data Quality

  • Data Quality Challenges
  • Data Manipulation Techniques
  • Managing Data Quality
  • Summary
  • Exam Essentials
6

Data Analysis and Statistics

  • Fundamentals of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Analysis Techniques
  • Summary
  • Exam Essentials
7

Data Analytics Tools

  • Spreadsheets
  • Programming Languages
  • Statistics Packages
  • Machine Learning
  • Analytics Suites
  • Summary
  • Exam Essentials
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
9

Data Governance

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

3

Databases and Data Acquisition

  • Sorting Data
  • Removing Unnecessary Data
  • Updating Existing Data
  • Retrieving Specific Data
4

Data Quality

  • Eliminating Redundant Data
  • Concatenating Data
6

Data Analytics Tools

  • Saving Data in Excel
  • Representing Data
  • Analyzing Data Using Python

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Multiple choice questions

The exam contains 50 questions.

100 minutes

700

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