In this course, we will talk about the importance of data literacy. Understanding the language of data allows you to use and interpret data effectively. If you want a successful career path, you will most likely need these skills.
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Data literacy involves articulating a problem that can potentially be solved using data. Most importantly, it is about interpreting the results of an analysis and making decisions based on the gained insights. A data literate person would have the ability to understand and check the adequacy of the data involved. Ultimately, you should be able to read and derive valuable information from data. We will cover all these topics extensively in the course.
Skills you will gain
What You'll Learn
Being data literate means having the necessary competencies to work with data. Someone who is data literate would have the ability to:
- Introduction to Data Literacy5 Lesson 24 Min
- Understanding Data17 Lesson 62 MinData Definition Free Qualitative vs. Quantitative Data Free Structured vs. Unstructured Data Data at Rest vs. Data in Motion Transactional vs. Master Data Big Data Storing Data Database Data Warehouse Data Marts The ETL Process Apache Hadoop Data Lake Cloud Systems Edge Computing Batch vs. Stream Processing Graph Database Free
- Using Data16 Lesson 71 MinAnalysis vs. Analytics Descriptive Statistics Inferential Statistics Business Intelligence (BI) Artificial Intelligence (AI) Machine Learning (ML) Free Supervised Learning Regression Analysis Time Series Forecasting Classification Unsupervised Learning Clustering Analysis Association Rules Reinforcement Learning Deep Learning Natural Language Processing (NLP) Free
- Reading Data5 Lesson 30 Min
- Interpreting Data15 Lesson 65 Min
“This course will be an invaluable experience for your professional development. Data literacy is an absolute must for anyone who wants to be successful in today's business world. Data literacy is the ability to read, understand, create, and communicate data as information.”
Worked at Henkel
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