Data Analytics Master
(DA-MASTR.AA1) / ISBN : 978-1-64459-556-5About 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.
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
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.
View more!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.
View more!Introduction
- The Data Analytics Master Exam
- The Data+ Exam
Today's Data Analyst
- Welcome to the World of Analytics
- Careers in Analytics
- The Analytics Process
- Analytics Techniques
- Data Governance
- Analytics Tools
- Summary
Understanding Data
- Exploring Data Types
- Common Data Structures
- Common File Formats
- Summary
- Exam Essentials
Databases and Data Acquisition
- Exploring Databases
- Database Use Cases
- Data Acquisition Concepts
- Working with Data
- Summary
- Exam Essentials
Data Quality
- Data Quality Challenges
- Data Manipulation Techniques
- Managing Data Quality
- Summary
- Exam Essentials
Data Analysis and Statistics
- Fundamentals of Statistics
- Descriptive Statistics
- Inferential Statistics
- Analysis Techniques
- Summary
- Exam Essentials
Data Analytics Tools
- Spreadsheets
- Programming Languages
- Statistics Packages
- Machine Learning
- Analytics Suites
- Summary
- Exam Essentials
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
Data Governance
- Data Governance Concepts
- Understanding Master Data Management
- Summary
- Exam Essentials
Databases and Data Acquisition
- Sorting Data
- Removing Unnecessary Data
- Updating Existing Data
- Retrieving Specific Data
Data Quality
- Eliminating Redundant Data
- Concatenating Data
Data Analytics Tools
- Saving Data in Excel
- Representing Data
- Analyzing Data Using Python
Any questions?Check out the FAQs
Still have unanswered questions and need to get in touch?
Contact us nowuCertify
Multiple choice questions
The exam contains 50 questions.
100 minutes
700