Advanced Data Analytics with BI Tools
( 30 Modules )

Module #1
Introduction to Advanced Data Analytics
Overview of advanced data analytics, importance of BI tools in data analysis

Module #2
Data Preparation and Preprocessing
Data cleaning, data transformation, data quality, and data preprocessing techniques

Module #3
Data Visualization Fundamentals
Introduction to data visualization, types of visualizations, best practices

Module #4
Business Intelligence Tools Overview
Introduction to popular BI tools such as Tableau, Power BI, QlikView, and SAP BusinessObjects

Module #5
Tableau Fundamentals
Introduction to Tableau, connecting to data sources, creating dashboards

Module #6
Power BI Fundamentals
Introduction to Power BI, creating reports, and dashboards

Module #7
Data Modeling and Star Schemas
Data modeling concepts, star schema design, and dimensional modeling

Module #8
Advanced Data Visualization
Interactive visualizations, storytelling with data, and advanced visualization techniques

Module #9
Data Analysis with R and Python
Introduction to R and Python for data analysis, data manipulation, and visualization

Module #10
Machine Learning with BI Tools
Introduction to machine learning, predictive analytics with BI tools

Module #11
Big Data Analytics with BI Tools
Introduction to big data, integrating BI tools with big data sources

Module #12
Geospatial Analytics
Introduction to geospatial analytics, mapping and spatial analysis

Module #13
Advanced Analytics with Excel
Advanced analytics with Excel, power pivot, and power BI

Module #14
Data Mining with BI Tools
Introduction to data mining, clustering, decision trees, and regression analysis

Module #15
Collaborative Analytics
Introduction to collaborative analytics, real-time analytics, and cloud-based BI

Module #16
Advanced Data Storytelling
Effective data storytelling, dashboard design, and communication

Module #17
BI Tool Administration and Security
BI tool administration, security, and governance

Module #18
Case Studies and Project Development
Real-world case studies, project development, and implementation

Module #19
Advanced Analytics with Apache Spark
Introduction to Apache Spark, Spark SQL, and machine learning

Module #20
Cloud-Based BI and Analytics
Cloud-based BI and analytics, AWS, Azure, and Google Cloud

Module #21
Real-Time Analytics and IoT
Introduction to real-time analytics, IoT, and streaming data

Module #22
Advanced Predictive Analytics
Advanced predictive analytics, regression, decision trees, and clustering

Module #23
Text Analytics and Sentiment Analysis
Introduction to text analytics, sentiment analysis, and natural language processing

Module #24
Advanced Data Visualization with D3.js
Introduction to D3.js, advanced visualization techniques

Module #25
BI Tools for Finance and Accounting
BI tools for finance and accounting, financial analysis and reporting

Module #26
BI Tools for Healthcare and Life Sciences
BI tools for healthcare and life sciences, clinical analytics and reporting

Module #27
BI Tools for Retail and Manufacturing
BI tools for retail and manufacturing, supply chain analytics and reporting

Module #28
Advanced Analytics for Marketing and Sales
Advanced analytics for marketing and sales, customer analytics and segmentation

Module #29
Data Governance and Quality
Data governance, data quality, and data management best practices

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Advanced Data Analytics with BI Tools career

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Advanced Data Analytics with BI Tools ( 30 Modules )

Advanced Data Analytics with BI Tools
( 30 Modules )