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
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,
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
Originally, this was a post that grew into 16 mini posts. I was always adding something that was missing and the fabric of the text kept growing. Finally, I decided to break everything into pieces, but with convenient navigation in each post. Here it is
❮ ❮ ❮ back forward ❯ ❯ ❯ A look at the business model from the product manager's point of view You are here ➔ CANVAS 13 - Great guide on the business model, from the product manager's point of view 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation
NPS - Net Promoter Score NPS is a powerful tool for measuring customer loyalty and their willingness to recommend your product. Originated in 2003, it started with a simple question: "How likely is it that you would recommend our service to colleagues and friends?", rated on a scale
Customer Development (CustDev) is a methodology for creating products or startups based on validating the idea or prototype of the future product through potential consumers. This process involves gaining insights from users to create, validate, and optimize product development ideas through structured interviews and experiments. For a customer to want
Articles about product management and data analysis 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 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
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
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
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,
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
Characters Setting Plot Big reveal Aha moment
Dashboard A tool that organizes information from multiple datasets into one central location for tracking, analysis, and simple visualization through tables, charts and graphs
Crafting stories with data is an essential skill in modern data analytics. By transforming raw data into compelling narratives, you can make information more understandable, relatable, and persuasive.
Originally, this was a post that grew into 16 mini posts. I was always adding something that was missing and the fabric of the text kept growing. Finally, I decided to break everything into pieces, but with convenient navigation in each post. Here it is
❮ ❮ ❮ back forward ❯ ❯ ❯ A look at the business model from the product manager's point of view You are here ➔ CANVAS 13 - Great guide on the business model, from the product manager's point of view 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation
❮ ❮ ❮ back forward ❯ ❯ ❯ A look at the business model from the product manager's point of view CANVAS 13 - Great guide on the business model, from the product manager's point of view You are here ➔ 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation
