Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Data Analysis and Big Data
- What defines Big Data as "Big"?
- Velocity, Volume, Variety, and Veracity (4Vs)
- Limitations of Traditional Data Processing
- Distributed Processing
- Statistical Analysis
- Types of Machine Learning Analysis
- Data Visualization
Roles and Responsibilities in Big Data
- System Administrators
- Developers
- Data Analysts
Programming Languages for Data Analysis
- Python
- The rationale for using Python in Data Analysis
- Data manipulation, processing, cleaning, and analysis
Methodologies for Data Analysis
- Statistical Analysis
- Time Series analysis
- Forecasting using Correlation and Regression models
- Inferential Statistics (estimation techniques)
- Descriptive Statistics applied to Big Data sets (e.g., calculating averages)
- Machine Learning
- Differences between Supervised and Unsupervised learning
- Classification and Clustering techniques
- Cost estimation for specific methods
- Data Filtering
Big Data Infrastructure
- Data Storage Solutions
- Relational Databases (SQL)
- MySQL
- Postgres
- Oracle
- Exploring various database nuances
- Hierarchical databases
- Object-oriented databases
- Document-oriented databases
- Graph-oriented databases
- Other storage models
- Relational Databases (SQL)
The Future Trajectory of Big Data
Course Summary and Recommended Next Steps
Requirements
- Basic knowledge of mathematics
- General familiarity with programming concepts
- Foundational understanding of database systems
Target Audience
- Software Developers and Programmers
- IT Consultants
21 Hours
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
