The detailed breakdown example of our data training services is outlined below:

• Basic data exploration, covering topics:

  - Type of data and data format.
  - Understanding data columns and rows.
  - Basic filtering and sorting.
  - Practical exercises using real-world datasets.
  - Hands-on experience with data exploration using tools like Excel or other data analysis software.
  - Exploring data relationships and patterns.

• Basic Data Cleaning & Preprocessing, covering topics:

  - Dealing with missing values.
  - Basic data cleaning techniques.
  - Case studies on data cleaning challenges.
  - Real-life examples of messy datasets and how to address common data cleaning issues.
  - Best practices for data preprocessing before analysis.

• Basic Descriptive Statistics, covering topics:

  - Mean, median, and mode.
  - Basic measures of variability.
  - Interpretation of descriptive statistics.
  - Understanding the implications of mean, median, and mode in different scenarios.
  - Practical examples of using descriptive statistics for decision-making.

• Basic Data Visualization, covering topics:

  - Introduction to charts and graphs.
  - Creating basic visualizations in Excel.
  - Storytelling with data.
  - Exploring how to tell a compelling story through visualizations.
  - Best practices for choosing the right chart or graph for different types of data.