Aleksandr Kosenko Digital (Page 2)

Aleksandr Kosenko Digital

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7 – Key Activities

Product Management

7 – Key Activities

❮ ❮ ❮ 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 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation Map 4 – Customer

8 – Key Resources

Product Management

8 – Key Resources

❮ ❮ ❮ 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 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation Map 4 – Customer

9 – Key Partners

Product Management

9 – Key Partners

❮ ❮ ❮ 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 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation Map 4 – Customer

10 – Cost Structure

Product Management

10 – Cost Structure

❮ ❮ ❮ 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 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation Map 4 – Customer

11 – Eco-Social Costs

Product Management

11 – Eco-Social Costs

❮ ❮ ❮ 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 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation Map 4 – Customer

12 – Eco-Social Benefits

Product Management

12 – Eco-Social Benefits

❮ ❮ ❮ 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 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation Map 4 – Customer

13 – KPI (Key Performance Indicators)

Product Management

13 – KPI (Key Performance Indicators)

❮ ❮ ❮ back 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 1 – Customer Problem 2 – Customer Segments 3 – Value Propositions Value Proposition Formulation Map 4 – Customer Relationships

Visualization considerations

Data Analitics Study Notes

Visualization considerations

Guidelines and pro tips Refer to the table below for recommended guidelines and style checks for headlines, subtitles, labels, and annotations in your data visualizations. Think of these guidelines as guardrails to prevent your visualizations from becoming too crowded or busy. This can confuse or distract the audience with unnecessary

Data Visualisation

Data Analitics Study Notes

Data Visualisation

Introduction to Data Visualization and Design Principles

Types of data validation

Data Analitics Study Notes

Types of data validation

© Google This text outlines the purpose, examples, and limitations of six data validation types. The first five are linked to the data itself: type, range, constraint, consistency, and structure. The sixth type pertains to application code validation that accepts user input. As a junior data analyst, you may not conduct

Get started with data calculations

Data Analitics Study Notes

Get started with data calculations

* As a data analyst, familiar tools and processes are frequently used, but learning new ones is essential for growth. * SQL can significantly improve efficiency when pulling data and conducting analysis. * Spreadsheets, conditional formulas, the SUMPRODUCT function, and pivot tables are useful tools for performing calculations in data analysis. * Pivot tables

Use subqueries to aggregate data {SQL}

Data Analitics Study Notes

Use subqueries to aggregate data {SQL}

WarehouseWarehouse.csv484 Bytesdownload-circleOrdersOrders.csv352 KBdownload-circle HAVING function Allows you to add a filter to your query instead of the underlying table that can only be used with aggregate functions CASE function Returns records with your conditions by allowing you to include if/then statements in your query Aliasing When you

Use subqueries to refine data {SQL}

Data Analitics Study Notes

Use subqueries to refine data {SQL}

Open BigQuery and create a free account there, upload bigquery-public-data and select new_york_citibike. Scenario Review the following scenario. Then complete the step-by-step instructions. You work for an organization that is responsible for the safety, efficiency, and maintenance of transportation systems in your city. You have been asked to

Explore how SQL JOINs work

Data Analitics Study Notes

Explore how SQL JOINs work

Common JOINs * INNER JOIN: a function that returns records with matching values in both tables * LEFT JOIN: a function that returns all the records from the left table (first mentioned) and only the matching records from the right table (second mentioned) * RIGHT JOIN: a function that returns all records from

Aggregate data for analysis

Data Analitics Study Notes

Aggregate data for analysis

Data aggregation The process of gathering data from multiple sources in order to combine it into a single summarized collection * Puzzle pieces = data * Organization = aggregation * Pile of pieces = summary * Putting the pieces together = gaining insights The aggregation process helps to identify trends, make comparisons, and gain insights that wouldn'

VLOOKUP {data aggregation}

Data Analitics Study Notes

VLOOKUP {data aggregation}

VLOOKUP core concepts Spreadsheet functions can be used to quickly find information and perform calculations using specific values. VLOOKUP, or Vertical Lookup, is one such function that vertically searches for a certain value in a column to return a corresponding piece of information. In this reading, you’ll examine the

Exploratory data analysis or EDA

Data Analitics Study Notes

Exploratory data analysis or EDA

Review * Practices of EDA * PACE workflow * Ethics of working with data * Data visualizations Exploratory data analysis (EDA) The process of investigating, organizing, and analyzing datasets and summarizing their main characteristics, often employing data wrangling and visualization methods. EDA is an important first step in understanding any new dataset or question.

Portfolio module 2 {Get Started with Python} Google Advanced Data Analytics Certificate

Portfolio process

Portfolio module 2 {Get Started with Python} Google Advanced Data Analytics Certificate

At the beginning there are sc emails from managers with a request. Then my preparation for the PACE strategy document. Then questions from the laboratory and my answers to them. Then the lines of code that were necessary to get answers to the questions. And at the end, a summary

Format and adjust data

Data Analitics Study Notes

Format and adjust data

Check and change data type Check your data for inconsistent units of measurement to prevent problems during data analysis. Convert temperatures from Fahrenheit to Celsius Use the CONVERT function to change units of measurement. Convert function formula as =CONVERT(CELL, from Fahrenheit to Celsius. Enter "F", "C&

Organize data for analysis

Data Analitics Study Notes

Organize data for analysis

The analysis process Analysis – The process used to make sense of the data collected The goal of analysis is to identify trends and relationships within data so you can accurately answer the question you're asking The 4 phases of analysis 1. Organize data 2. Format and adjust data

Document the cleaning process

Data Analitics Study Notes

Document the cleaning process

Documentation The process of tracking changes, additions, deletions, and errors involved in your data-cleaning effort * Recover data-cleaning errors * Inform other users of changes * Determine quality of data A changelog, a file containing a chronologically ordered list of modifications made to a project, is typically utilized to track these changes. 1.

Manually cleaning data

Data Analitics Study Notes

Manually cleaning data

Verify and report results 1. Verification of data is crucial to ensure the data cleaning process has been executed correctly and the data is accurate and reliable. 2. Verification allows for the identification and rectification of errors before beginning analysis, ensuring the insights gained can be trusted for decision-making. 3.

The transaction game: How to increase your sales and retain customers

Product Management

The transaction game: How to increase your sales and retain customers

The companies that operate mainly offline focus on increasing the number of transactions, where the exchange of value occurs between the business and the customer. For a product manager, this type of service can be called a "transaction game." Typical representatives of these companies are Mercadona, Amazon, Shein,

Product Management

The manifesto is a way for a brand to declare itself

In an era where thousands of meaningless applications are created and many similar businesses are opened, it's worth considering the value you bring and want to create. Let's analyze together how to formulate a strong brand manifesto: your unique business card and your strength in the

Increase Your Happiness and Reduce Stress with the Productivity Game

Product Management

Increase Your Happiness and Reduce Stress with the Productivity Game

Why should not only product managers and leaders, but everyone else, know the productivity game? "The productivity game" is not just a trendy buzzword or a way to make money by creating apps; it's a fundamental element for success. A study published in the Journal of