Study notes from data analysis training on Google, IBM, Meta and Yandex educational programs.
Data Analitics Study Notes
* Stories are powerful tools for teaching and sharing knowledge, not just entertainment. * Data analysts are storytellers who use data, visuals, and narratives to inform and persuade. * A data narrative explains the origin and purpose of data, providing context to findings. * Visuals aid in bringing data insights to life and making
Data Analitics Study Notes
* The final step in the OSEMN Framework is interpreting data analysis results. * Interpretation involves generating insights and telling a story with the data. * This week focuses on how to draw conclusions from analysis and create compelling data stories. * The course will cover approaches to data interpretation and storytelling techniques. * A
Data Analitics Study Notes
* Modeling is the fourth stage of the OSEMN (Obtain, Scrub, Explore, Model, iNterpret) data analysis cycle. * This phase involves using data to make predictions through mathematical models. * Models can range from simple linear regressions to complex machine learning algorithms. * The primary function of models is to discover hidden patterns in
Data Analitics Study Notes
* Scrubbing data is the second phase of the OSEMN framework, focusing on cleaning and preparing data for analysis. * The scrubbing process transforms raw, dirty data into clean, usable data. * Four main tasks in data scrubbing: * Removing duplicates * Formatting records * Solving for missing values * Checking records for mistakes or wrong values
Data Analitics Study Notes
* The OSEMN model is a framework for data analytics projects, consisting of five stages: Obtain, Scrub, Explore, Model, and Interpret. * Obtaining data involves gathering relevant information from various sources, which may require creativity and research. * Scrubbing data is crucial for preparing the dataset, including cleaning and formatting to ensure accuracy
Data Analitics Study Notes
* Data analytics involves multiple steps, such as collecting, cleaning, categorizing, analyzing, and interpreting data. * The large volume of data available can make the job of a data analyst overwhelming. * A framework can help data analysts organize their work processes and strategies. * Using a framework ensures accuracy and consistency throughout the
Data Analitics Study Notes
the Power of Data * Data Generation: We generate vast amounts of data daily through various interactions with technology. * Value of Data: This data provides valuable insights into behaviors, habits, and preferences. * Increasing Data: The amount of data is growing exponentially due to advancements in technology and connected devices. * Role of
Data Analitics Study Notes
Prepare for the Q&A A question-and-answer session, or Q&A, is a valuable opportunity for stakeholders and audience members to ask questions about your findings. They can be challenging because you don’t always know what to expect, require purposeful listening, and it's tough to
Data Analitics Study Notes
Proven presentation tips * Effective presentation skills are crucial for data analysts to communicate their findings clearly. * Using a framework helps guide the audience and integrates data seamlessly into the presentation. * Practice and preparation are essential to becoming more comfortable with giving presentations. * Basic tips include deep breathing to manage excitement,
Data Analitics Study Notes
Presenting data effectively is a crucial skill for data analysts Data visualizations and storytelling can enhance your presentations Combining multiple data sources helps in telling a comprehensive story Sharing your findings is as important as the analysis itself
Data Analitics Study Notes
Characters Setting Plot Big reveal Aha moment
Data Analitics Study Notes
Dashboard A tool that organizes information from multiple datasets into one central location for tracking, analysis, and simple visualization through tables, charts and graphs