Main skills of selling through personal blogging

Mastering community building and sales techniques is essential for selling through personal blogging. By crafting compelling stories and engaging content, you can create lasting connections and effectively offer solutions that resonate with your audience.

About Me, What I Do, and What a Product Manager in Digital Really Is

Discover the multifaceted role of a Product Manager in the digital realm. From strategic decision-making to data-driven insights, learn how they transform challenges into opportunities, driving growth and innovation in diverse projects.

Subqueries and Joins in SQL

Master SQL with our guide on subqueries and joins! Discover how to efficiently combine data from multiple tables, streamline your queries, and enhance performance. Unlock the power of data retrieval through effective SQL techniques.

Descriptive statistics

Explore the fundamentals of descriptive statistics, including measures of central tendency, dispersion, and position. Understand how these concepts empower data-driven decisions, enhance analytical skills, and reveal insights crucial for effective problem-solving.

The role of simple statistics in data science

A/B testing, descriptive & inferential statistics

Storytelling with Data

* 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

Interpreting Data

* 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

Modeling Data

* 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

Scrubbing Data

* 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

Obtaining Data

* 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

The OSEMN Framework

* 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

What is Data Analytics?

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