Data Preparation and Analysis

Definition of data science and its importance in organizations

Differences between data, information, and knowledge

Areas of application for data analysis

Quantitative and qualitative data

Data sources: primary and secondary

Challenges in collecting data from multiple sources

Designing data collection tools (surveys, interviews)

Ethical considerations in data collection

Electronic data collection methods

Creating and structuring spreadsheets

Coding values and transforming variables

Handling missing values and duplicates

Data cleaning and error correction

Formatting data types and converting structures

Merging data from different sources

Introduction to Excel as a primary analysis tool

Overview of SPSS, Power BI, and Python

Criteria for selecting the appropriate analytical tool

Mean, median, and standard deviation

Frequency distributions and graphical measures

Using tables and charts to interpret results

Extracting patterns from data

Identifying temporal changes and trends

Linking indicators with actual outcomes

Correlation and regression analysis

Interpreting cause-and-effect relationships

Applying analysis in practical scenarios

Handling open-text responses

Categorizing and coding qualitative answers

Extracting key themes and concepts

Choosing the appropriate chart type

Using colors and design principles in visualization

Transforming numbers into meaningful stories

Components of a professional analytical report

Writing with analytical clarity and precision

Providing recommendations based on results

Linking analysis to decision-making stages

Evaluating alternatives based on evidence

Measuring the impact of data-informed decisions

Definition and types of KPIs

Analyzing gaps between targets and actual results

Creating performance dashboards

Using analysis to enhance processes

Monitoring performance over time

Forecasting and improving problem response

Artificial intelligence in predictive analytics

Big Data and its significance

Integrating analysis with emerging technologies