LAPT Adv Cert — data concepts, spreadsheets, basic statistics, data visualisation.
Unit 1 — Introduction to Data Science and Its Applications
6 classes
1.1 Define Data Science and Its Core Components
1.2 Explore Key Data Science Tools and Technologies
1.3 Identify Data Types and Their Relevance in Analysis
1.4 Examine the Data Science Process and Methodologies
1.5 Investigate Real-World Applications of Data Science
1.6 Assess Ethical Considerations in Data Science Practices
Unit 2 — Understanding Data — Types, Sources and Formats
6 classes
2.1 Identify Different Types of Data: Qualitative vs. Quantitative
2.2 Explore Primary and Secondary Data Sources
2.3 Analyze Data Formats: Structured vs. Unstructured Data
2.4 Evaluate the Importance of Data Quality and Integrity
2.5 Apply Data Collection Techniques for Research Projects
2.6 Synthesize Findings from Various Data Types and Sources
Unit 3 — Data Collection, Cleaning and Organisation
6 classes
3.1 Understand the Importance of Data Collection in Data Science
3.2 Identify Various Data Collection Methods and Their Applications
3.3 Explore Techniques for Effective Data Cleaning and Validation
3.4 Implement Data Cleaning Procedures Using Popular Tools
3.5 Organise and Structure Data for Analysis and Interpretation
3.6 Apply Data Collection and Cleaning Best Practices in a Real-World Project
Unit 4 — Data Visualisation Using Spreadsheets and Charts
6 classes
4.1 Understand the Importance of Data Visualisation in Data Science
4.2 Explore Different Types of Charts and Their Use Cases
4.3 Create Basic Graphs Using Spreadsheet Tools
4.4 Customize Charts for Effective Data Presentation
4.5 Incorporate Advanced Charting Techniques in Spreadsheets
4.6 Apply Data Visualisation Skills to Real-World Data Sets
Unit 5 — Basic Statistics — Mean, Median, Mode and Interpretation
6 classes
5.1 Define and Differentiate Between Mean, Median, and Mode
5.2 Calculate the Mean: Step-by-Step Guide
5.3 Find the Median: Understanding Data Sets
5.4 Identify the Mode: Working with Frequency Distributions
5.5 Interpret Statistical Measures: Mean, Median, and Mode in Context
5.6 Apply Mean, Median, and Mode in Real-World Scenarios