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Certified Business Intelligence Data Analyst
5 Sections
25 Lessons
10 Weeks
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Module 1: Data Analytics for Business Decision-Making
This module introduces fundamental and advanced data analytics concepts that drive business intelligence and decision-making.
5
1.1
1.1 Exploratory Data Analysis (EDA)
1.2
1.2 Descriptive & Inferential Statistics
1.3
1.3 Business Forecasting & Time-Series Analysis
1.4
1.4 Break-Even & Jaws Ratio Analysis
1.5
1.5 Real-World Business Case Studies
Module 2: Big Data Technologies and Infrastructure
This module provides expertise in big data architectures, cloud-based solutions, and distributed computing frameworks.
5
2.1
2.1 Hadoop Ecosystem
2.2
2.2 Apache Spark for Real-Time Analytics
2.3
2.3 NoSQL Databases (MongoDB, HBase)
2.4
2.4 Data Integration & ETL Pipelines
2.5
2.5 Cloud-Based Storage & Scalability
Module 3: Business Intelligence and Performance Metrics
This module provides strategies for defining, tracking, and optimizing performance through KPIs.
5
3.1
3.1 Defining Key Performance Indicators (KPIs)
3.2
3.2 Operational Analytics & Performance Measurement
3.3
3.3 Executive Dashboard Reporting
3.4
3.4 Real-Time Data Pipelines
3.5
3.5 Benchmarking & Industry Comparison
Module 4: Data Visualization and Dashboard Development
This module covers data storytelling, visualization techniques, and interactive dashboards.
5
4.1
4.1 Data Storytelling & Business Reporting
4.2
4.2 Dashboard Development (Tableau, Power BI)
4.3
4.3 Heatmaps & Geospatial Mapping
4.4
4.4 Real-Time Reporting & Live Dashboards
4.5
4.5 Marketing & Sales Visual Analytics
Module 5: Predictive Analytics and Machine Learning
This module focuses on predictive modeling and machine learning algorithms for forecasting.
5
5.1
5.1 Regression Analysis & Forecasting
5.2
5.2 Supervised & Unsupervised Learning
5.3
5.3 Churn Prediction & Customer Retention
5.4
5.4 Sentiment Analysis & NLP
5.5
5.5 Customer Segmentation & Personalization
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