Applied Business Intelligence for Decision Making Course by PwC

The Applied Business Intelligence for Decision Making Course by PwC is designed to equip learners with in-depth knowledge of business intelligence (BI) tools and techniques to make informed business decisions. This course is ideal for data analysts, business intelligence professionals, and IT professionals aiming to enhance their expertise in data integration, analysis, and reporting. Achieving this certification boosts career opportunities in the data analytics and business intelligence domains.

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Why Enroll in the Applied Business Intelligence for Decision Making Course by PwC?

  • Master Data Analytics: Learn to implement data integration, analysis, and reporting.

  • Career Growth: Gain a globally recognized certification in business intelligence proficiency.

  • Hands-on Labs: Work on real-world data analysis projects.

  • In-Demand Skills: Learn data warehousing and advanced analytics.

  • Globally Recognized Certification: Showcase your business intelligence expertise to employers worldwide.

Course Description

The course validates your ability to integrate, analyze, and report data using BI tools and methodologies.

1. Data Analysts working with data visualization. 2. Business Intelligence Professionals managing reports and dashboards. 3. IT professionals seeking advanced data analytics skills. 4. Beginners aiming to build a career in data visualization and analytics.

1. Comprehensive curriculum covering BI fundamentals. 2. Hands-on practice with real-world scenarios. 3. 24/7 expert support for technical guidance.

What you'll learn

  • BI Basics: Understanding BI architecture and implementation.
  • Data Integration: Using tools for data extraction, transformation, and loading.
  • Data Analysis: Data modeling and business analysis techniques.
  • Reporting: Creating interactive reports and dashboards.
  • Performance Optimization: Best practices for efficient data processing.

Requirements

  • Basic IT Knowledge: Familiarity with data handling and databases is recommended.
  • Analytical Mindset: Understanding of basic data concepts is beneficial.

Curriculum Designed by Experts

  • Overview of the curriculum
  • What is BI?
  • How does a real-life project work?
  • Industry standard architecture of a BI implementation project
  • Industry standard KPIs of Sales, Manufacturing, and Sales departments
  • Power BI adoption of a manufacturing company
  • Power BI connectivity modes: Import, Direct Query, and Live Connection
  • Power BI connectivity mode with on-premise data: Files, Excel, Text/CSV, PDF files, and Folders
  • Power BI connectivity mode with on-cloud data: Snowflake, Azure SQL DB, Azure Blob Storage, AWS Redshift, S3, Web, API, and Azure Analysis Service

  • Connection with Multiple Data Sources
  • Erecting Architecture of BI

  • Industry standard data modeling to analyze three business functional areas: Sales, Manufacture and Finance
  • Data Cleaning for Repost/Dashboard Creation: Column Manipulation and Adjusting Data
  • DAX capabilities
  • How Measures and Calculated columns can be used as per critical business requirements
  • Application of Slicers, filters, Drill up, Drill Down, Drill through, and Bookmark functions in a real-life project
  • Application of Scroller, Gauge, and Map in a real-life project

  • Data Modeling and Cleaning
  • Manipulating Data with DAX
  • Calculating Measures and Column
  • Handling Visuals for Insights
  • Bookmarks and Buttons

  • Business Use-case of Time Intelligent
  • Business Use-case of Pareto using dynamic slicer
  • Business Use-case: Balance sheet
  • Business Use-case of Power BI AI capabilities: Forecasting, Q&A, and Anomalies
  • Business Use-case for “What if” Analysis and Segmentation
  • Power BI with Python: Data Transformation, Performing EDA to get insights about data distribution, and Designing visuals with Python to understand data

  • Setting up Time Intelligence
  • Applying Dynamic Slicer in Pareto
  • Implement Forecasting and Q&A
  • Detecting Anomalies
  • Creating Visuals in Python

  • Features of Fabric - Power BI connectivity with fabric Data warehouse and One Lake
  • Creating quick measures using Copilot
  • Important features of Power BI Server & Service and their business application
  • Industry-standard Power BI dashboard/reports for manufacturing, sales, and finance
  • The art and science of visualization
  • The best practices to improve performance, security, and design in Power BI

  • Using Copilot
  • Know Service and Report Server
  • Build Reports and Dashboards
  • Connecting Data Warehouse and Lake

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Live Interactive Learning
  • World-Class Instructors
  • Expert-Led Mentoring Sessions
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  • Free Access to Future Updates
  • Unlimited Access to Course Content
24/7 Support
  • One-On-One Learning Assistance
  • Help Desk Support
  • Resolve Doubts in Real-time
Hands-On Project-Based Learning
  • Industry-Relevant Projects
  • Course Demo Dataset & Files
  • Quizzes & Assignments
Industry Recognised Certification
  • Cert Solution Training Certificate
  • Graded Performance Certificate
  • Certificate of Completion
Career Support Services
  • Resume Building Workshops
  • Interview Preparation Sessions
  • Job Placement Assistance

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