CSC 104 — FUNDAMENTALS OF DATA ANALYSIS

About this course

CSC 104 FUNDAMENTALS OF DATA ANALYSIS is a 100 Level course in the Computer Science department, taught in the Second Semester. On La-Net Hub you can watch all 30 recorded lectures for free, grouped into 10 series, read the course lecture note online or download it as a PDF, and test yourself with practice questions.

Data Visualization, Quality, Ethics, and Tools are essential aspects of modern data analysis that ensure information is both meaningful and responsibly used. Data visualization involves presenting data through charts, graphs, and dashboards to make complex patterns easier to understand. Data quality emphasizes accuracy, consistency, and reliability, ensuring that insights are based on trustworthy information. Equally important are data ethics , which address responsible practices such as privacy, fairness, and transparency in handling information. Finally, various data tools —like statistical software, programming languages, and visualization platforms—support analysts in cleaning, processing, and presenting data effectively. Together, these elements create a framework where data is not only analyzed but also communicated clearly, used responsibly, and applied with confidence in decision-making.

Descriptive Statistics is the branch of statistics that focuses on summarizing and presenting data in a clear and meaningful way, without drawing conclusions beyond the dataset itself. It uses measures such as mean , median , and mode to describe the central tendency of data, along with range , variance , and standard deviation to show how spread out the values are. Additionally, tools like frequency distributions , tables , and graphs help visualize data patterns for easier interpretation. By condensing large datasets into simple summaries and visuals, descriptive statistics provides a foundation for understanding information before moving into deeper analysis

Lectures in this course

Series 1: Data Visualization, Quality, Ethnics, and Tools (SERIES 5) · Part 1

1. Data Visualization, Quality, Ethnics, and Tools 1 9 minutes 3 seconds
2. Data Visualization, Quality, Ethnics, and Tools 2 10 minutes 26 seconds
3. Data Visualization, Quality, Ethnics, and Tools 3 11 minutes 23 seconds

Series 2: Data Visualization, Quality, Ethnics, and Tools (SERIES 5) · Part 2

1. Data Visualization, Quality, Ethnics, and Tools 1 8 minutes 21 seconds
2. Data Visualization, Quality, Ethnics, and Tools 2 9 minutes 39 seconds
3. Data Visualization, Quality, Ethnics, and Tools 3 10 minutes 29 seconds

Series 3: Descriptive Statistics (SERIES 3) · Part 1

1. Descriptive Statistics 1 8 minutes 29 seconds
2. Descriptive Statistics 2 8 minutes 42 seconds
3. Descriptive Statistics 3 9 minutes 18 seconds

Series 4: Descriptive Statistics (SERIES 3) · Part 2

1. Descriptive Statistics 1 7 minutes 49 seconds
2. Descriptive Statistics 2 8 minutes
3. Descriptive Statistics 3 8 minutes 34 seconds

Series 5: Introduction to Data Analysis (SERIES 1) · Part 1

1. Introduction to Data Analysis 1 10 minutes 32 seconds
2. Introduction to Data Analysis 2 10 minutes 59 seconds
3. Introduction to Data Analysis 3 10 minutes 21 seconds

Series 6: Introduction to Data Analysis (SERIES 1) · Part 2

1. Introduction to Data Analysis 1 9 minutes 38 seconds
2. Introduction to Data Analysis 2 10 minutes 4 seconds
3. Introduction to Data Analysis 3 9 minutes 31 seconds

Series 7: Probability and Inferential Statistics (SERIES 4) · Part 1

1. Probability and Inferential Statistics 1 9 minutes 13 seconds
2. Probability and Inferential Statistics 2 8 minutes 45 seconds
3. Probability and Inferential Statistics 3 9 minutes 17 seconds

Series 8: Probability and Inferential Statistics (SERIES 4) · Part 2

1. Probability and Inferential Statistics 1 8 minutes 27 seconds
2. Probability and Inferential Statistics 2 8 minutes 3 seconds
3. Probability and Inferential Statistics 3 8 minutes 32 seconds

Series 9: Types and Sources of Data (SERIES 2) · Part 1

1. Types and Sources of Data 1 10 minutes 41 seconds
2. Types and Sources of Data 2 11 minutes 20 seconds
3. Types and Sources of Data 3 11 minutes 18 seconds

Series 10: Types and Sources of Data (SERIES 2) · Part 2

1. Types and Sources of Data 1 9 minutes 46 seconds
2. Types and Sources of Data 2 10 minutes 26 seconds
3. Types and Sources of Data 3 10 minutes 28 seconds

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