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Data Literacy Training

Live Online & Classroom Enterprise Training

Data Literacy is the ability to read, understand, analyze, and communicate data effectively. It empowers individuals to make data-driven decisions in various fields.

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What is Data Literacy Training about?

The "Data Literacy" course is designed to empower individuals with the ability to read, understand, interpret, and communicate data effectively. In today’s data-driven world, data literacy is a fundamental skill that helps participants make informed decisions, solve problems, and drive results using data insights. This course covers the basics of data analysis, visualization, storytelling, and ethical considerations in data usage, making it accessible to professionals across all fields. 

What are the objectives of Data Literacy Training ?

  • Understand fundamental data concepts, such as types of data, sources, and data collection methods.
  • Gain the ability to interpret data visualizations like charts, graphs, and dashboards.
  • Develop skills to identify patterns, trends, and correlations in data sets.
  • Learn to communicate data insights effectively to different audiences through storytelling techniques.
  • Apply data literacy skills to real-world scenarios for problem-solving and decision-making.

Who is Data Literacy Training for?

  • Business professionals looking to improve data-driven decision-making skills.
  • Students and entry-level employees seeking foundational knowledge of data handling.
  • Managers and team leaders who need to understand data insights for strategic purposes.
  • Individuals aspiring to pursue careers in data science, analytics, or related fields. 

Available Training Modes

Live Online Training

1 Days

Self-Paced Training

10 Hours

Course Outline Expand All

Expand All

  • What is data literacy, and why is it important?
  • The role of data in modern decision-making.
  • Overview of data in business, education, and everyday life.
  • Understanding data types: structured, unstructured, qualitative, and quantitative.
  • Data sources: primary vs. secondary data.
  • Basic data collection and cleaning techniques.
  • Identifying trends, patterns, and outliers in data.
  • Introduction to statistical concepts (mean, median, mode, variance).
  • Hands-on exercise: Interpreting simple data sets.
  • Types of visualizations: bar charts, line graphs, scatter plots, and dashboards.
  • Tools for visualization (Excel, Tableau, Power BI, etc.).
  • Tips for selecting the right visualization for the data.
  • Telling a story with data: crafting narratives that engage stakeholders.
  • Presenting data to non-technical audiences.
  • Hands-on exercise: Creating a data-driven presentation.
  • Ethical use of data: biases, transparency, and fairness.
  • Understanding data security and privacy regulations (e.g., GDPR, CCPA).
  • Best practices for responsible data usage.

Who is the instructor for this training?

The trainer for this Data Literacy Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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