Data Science Fundamentals and Key Python Libraries
Data Science Fundamentals
Data science is the field that uses data to find insights, patterns, and solutions that help people and organizations make better decisions. In simple terms, data science turns raw data into useful information.
What Data Scientists Do
They work with data to:
- Collect and clean data (remove errors, missing values)
- Analyze data to find patterns and trends
- Build models that can predict outcomes
- Communicate results using charts, reports, or dashboards
Key Parts of Data Science
- Statistics
Digital Forensics: Principles, Tools, and Procedures
Computer Forensic Services
Computer forensic services involve the professional application of scientific investigation techniques to identify, preserve, extract, and analyze data from digital devices. These services are used to transform raw digital data into “legal evidence” that can be presented in a court of law. For your SPPU exam, remember that these services aren’t just about finding files; they focus on maintaining the integrity of data and a strict chain of custody.
Typical services include:
Read MoreOrthotic Fabrication, Fitting and Alignment for Clinical Practice
Here’s a 550-word write-up for “Construct the device using appropriate fabrication techniques in preparation for the initial fitting – Orthotics Practical”:
Construct the Device for Initial Fitting
Constructing the Device Using Appropriate Fabrication Techniques in Preparation for the Initial Fitting – Orthotics Practical
The construction of an orthotic device is a critical step in ensuring its effectiveness, comfort, and functionality for the patient. It bridges the clinical assessment and biomechanical
Molecular to Material Science: Trends, Applications & Future Tech
From Molecular to Material: Current Trends & Future Directions
Here is a detailed analysis of the current trends and future directions in the transition from molecular to material science, structured to show how fundamental discoveries at the molecular level are driving innovations in materials with real-world societal impact.
Here is a detailed analysis of the current trends and future directions in the transition from molecular to material science, structured to show how fundamental discoveries
Read MoreDigital Forensics Q&A: Key Terms and Core Concepts
Digital Forensics Q&A
Which of the following is the best definition of “forensics”?✅ The process of using scientific knowledge for collecting, analyzing, and presenting digital computer evidence to the courts
One must be able to show the whereabouts and custody of evidence, and how it was handled and stored and by whom, from the time the evidence is first seized by a law enforcement officer or civilian investigator until the moment it is shown in court. What standard does this refer to?✅ Chain
Read MoreAnalysis, Antipyretics & Tramadol: Mechanisms and Types
Analysis means breaking something complex into smaller parts to understand it better, identify patterns, find causes, or make decisions. It is used in many fields — business, science, engineering, literature, etc.
In simple terms:
Analysis = Understanding something deeply by examining its components.
🧭 Main Types of Analysis (by Purpose or Field)
1. Qualitative Analysis
Focus: Descriptive and non-numerical data.
Goal: Understand qualities, meanings, and patterns.
Examples:
Interview or survey response