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Certified Data Analyst Associate - Power BI

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Certified Data Analyst Associate - Power BI

Duration 1 Hour

Fee $24.99 $37.99


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Certified Data Analyst Associate - Power BI, Excel, SQL and Core skills

Prepare to demonstrate your expertise in fundamental data analysis and database concepts with this certification. The exam covers a range of topics including data analysis methodologies, database fundamentals, and proficiency in Excel, SQL, and Power BI.

 

  • Format: Multiple Choice
  • Duration: 60 minutes
  • Number of Questions: 45
  • Passing Score: 80%

 

Data Analytics Certification offered by Analytics Institute is designed for professionals seeking to enhance their skills and knowledge in the field of data analytics. This certification equips you with the necessary expertise to analyze, interpret, and derive insights from complex data sets, enabling data-driven decision-making within organizations.

 

Benefits of Data Analytics Certification:

 

  1. Career Advancement: Data analytics is in high demand across industries. By earning this certification, you position yourself for better career opportunities and increased earning potential. Organizations value professionals who can effectively analyze data and provide actionable insights.

  2. Industry Recognition: By earning this certification, you establish yourself as a highly skilled and knowledgeable data analyst. This industry recognition enhances your professional credibility and distinguishes you as a sought-after expert in the field, increasing your career prospects and earning potential.

  3. Data-Driven Decision-Making: With the exponential growth of data, organizations need professionals who can effectively harness and analyze data to drive strategic decision-making. This certification equips you with the skills to transform raw data into actionable intelligence, enabling informed and data-driven decision-making within your organization.

 

Topics Covered in this Certification Exam:

 

1. Data Analysis Fundamentals

  • Data Analysis Process and Methodology
  • Types of Data Analysis: Descriptive, Diagnostic, Predictive, Prescriptive
  • Data Visualization Techniques
  • Role and Responsibilities of a Data Analyst
  • Key Skills and Tools for Data Analysts

 

2. Database Fundamentals

  • Database Concepts
  • Database Architecture
  • Database Security
  • Data Cleaning and Preparation
  • Data Collection Methods
  • Data Modeling
  • Data Integrity
  • Database design patterns

 

3. Excel for Data Analysis

  • Basic Excel functions
  • Data validation and data protection
  • Charts and graph creation
  • Conditional formatting
  • Pivot Tables and Pivot Charts
  • Cell formatting and styles
  • Data sorting and filtering
  • Data analysis and visualization
  • Text functions
  • Data de-duplication
  • Grouping and outlining data
  • Freeze panes and worksheet protection
  • Keyboard shortcuts
  • Data trends and time analysis

 

4. SQL for Data Analysis

  • Normalization and De-normalization
  • SQL Keywords and Basic Operations
  • SQL Clauses
  • SQL Operators
  • Aggregate Functions
  • Joins
  • Indexes
  • Database Constraints
  • Transactions
  • Temporary Tables
  • Views
  • Subqueries
  •  SQL Data Types
  • SQL Functions

 

5. Power BI for Data Analysis

  • Power BI Desktop vs. Power BI Service
  • Building Blocks of Power BI
  • Applications and Advantages of Power BI - Use cases for business and data analysts
  • Data Modeling Features
  • Data Cleansing and Transformation
  • Data Visualization benefits and challenges
  • Creating Interactive Dashboards
  • DAX (Data Analysis Expressions)
  • Performance Optimization
  • Power BI Slicers
  • Grouping in Power BI
  • Power Query
  • Power Pivot
  • Mapping in Power BI
  • Handling Large Datasets in Power BI
  • Integration with Microsoft Excel
  • Advanced Power BI Features for Data Connectivity, Security, and Report Optimization - Drill through, Direct Query, Data flows, Gateways, Running totals, Workspace collaboration, Report navigation, Row-level security (RLS), and Data refresh schedules

 

6. Data Warehousing Concepts

  • Purpose and Benefits to Data Warehousing
  • ETL (Extract, Transform, Load) Processes
  • Data Warehouse Architecture- Star Schema, Snowflake Schema
  • Data Modeling for Data Warehouses - Dimensional Modeling, Fact and Dimension Tables
  • Data Governance and Privacy

 

 

By successfully completing the Data Analytics Certification, you demonstrate your proficiency in these areas, positioning yourself as a skilled data analyst capable of driving data-driven insights and contributing to organizational success.

 

Passing this exam is required to earn the certification. 


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