In today's world, Data is synonymous with Information. It's everywhere, from number and facts to pictures and videos.
With the advancement in digital age, we have more data than ever before being created and collected at an incredible speed.
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Data Literacy:
Just like literacy as a general concept data literacy enables you to read, understand and efficiently comprehend data as information.
In an era of extensive data generation and utilization, Data Literacy is crucial skill that empowers individuals to safeguard their personal information, contribute to more secure and privacy-conscious digital landscape and equips organizations to make informed decision with data assets.
Different levels of data literacy-
Basic Level - Data at Personal Level (Basic understanding of data concerning data consumption, storage, sharing and privacy concerns)
Data Literacy Essentials: Data, data everywhere! Learn to consume numbers and data in any form with ease & flair in everyday life. Your Beginner's guide to demystify data.
Know Your Data Footprint: Gain insight into data storage and retention practices. Understand the associated environmental impact and need to minimize carbon footprint.
Data Sharing & Privacy Management: Learn essential practices to safeguard privacy while engaging online. Master the basics of privacy controls to manage data sharing with third-party apps and for marketing usage.
Ethical Data Citizen: Become a responsible digital citizen with ethical considerations surrounding data use (how data is collected, stored, and used) and developing critical thinking to assess credibility, biases, and risks associated with misguided information.
Advanced Level - Data at Broader Level (Foundational data skills beyond basics, data analysis & exploring data insights)
Data Analysis Fundamentals: Get familiar with different data types & basic statistical methods to jump start your data analysis journey. An introductory overview of essential tools available in the market for data analysis, to set the stage for practical application.
Exploratory Data Analysis (EDA): Build foundation for deeper analysis and insights with the basics of data exploration. Delve into methods like descriptive statistic techniques to understand data patterns, trends and relationships.
Introduction to Tools: Get started with data analysis tools such as Microsoft Excel, Microsoft Power BI, Python, or R for performing data analysis tasks and visualization. Develop skills to analyze & interpret data effectively and derive meaningful insights.
Data Visualization with Storytelling: Become a data storyteller! Learn visualization techniques to create impactful presentations and reports backed by data utilizing tools like Excel, Power BI, etc.
Specialized Level - Data at Knowledge Production Level (Transforming data into valuable insights and driving innovation with specialized techniques such as ML & AI)
Visit our Data and AI section under SkillLab to achieve specialized level!