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Course Outline
Introduction to Data Management
- Overview of data handling and storage
- Database fundamentals and table creation
- Introduction to relational models
Basic Data Analysis Techniques
- Descriptive statistics and distributions
- Histograms and control charts
- Data stratification and processing
Data Modeling for Decision-Making
- Intro to data modeling concepts
- Calendar tables and hierarchies
- Field relationships and table joins
Dynamic Reporting Tools
- Using Excel, Power Query and DAX
- Creating dashboards in Excel
- Editing and sourcing data with Power Pivot
Applied Statistical Techniques
- Basic regression and classification
- Prediction models and interpretation
- Practical data analysis scenarios
Introduction to Data Science Concepts
- Data science fundamentals
- Tools for pattern and trend detection
- Simple machine learning techniques
Data-Driven Decision-Making
- Evaluating reports for decisions
- Communicating results effectively
- Case studies and real-world applications
Summary and Next Steps
Requirements
- An understanding of basic computer operations
- Experience with spreadsheets and basic data formats
- Familiarity with Microsoft Office tools
Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals seeking data-driven decision-making tools
30 Hours
회원 평가 (4)
저는 Pablo의 스타일이 마음에 들었습니다. 그가 보고서 디자인, HTML을 사용한 사용자 정의, 간단한 ML 알고리즘 구현에 이르기까지 많은 주제를 다루었다는 점입니다. Go이론적 정보/연습의 균형을 유지합니다. 파블로는 제가 관심을 갖고 있는 모든 주제를 다루었고 제 질문에 포괄적인 답변을 해주었습니다.
Cristian Tudose - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
Machine Translated
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire
Real world knowledge from someone in the industry
Matthew Cerbas - Shield Consulting Solutions, Inc.
Course - Grafana
I genuinely enjoyed the lots of labs and practices.
