Questions to Ask Before Starting Data Analysis
Data analysis is a crucial part of any business or organization. It helps make decisions and assists in strategy development. But before you can dive into the data, there are several questions that need to be answered first. These questions will help you understand whether you have right kind of data for analysis purpose in addition to defining your goals for data analysis. As data scientists or data analysts, it is your job to ask the right questions. Let’s take a look at some important questions to ask before starting data analysis. Who collected the data? When it comes to data analysis, it is essential to know who collected the …
Categorical Data Visualization: Concepts, Examples
Everyone knows that data visualization is one of the most important tools for any data scientist or statistician. It helps us to better understand the relationships between variables and identify patterns in our data. There are specific types of visualization used to represent categorical data. This type of data visualization can be incredibly helpful when it comes to analyzing our data and making predictions about future trends. In this blog, we will dive into what categorical data visualization is, why it’s useful, and some examples of how it can be used. Types of Data Visualizations for Categorical Dataset When it comes to visualizing categorical data sets, there are primarily four …
Types of Probability Distributions: Codes, Examples
In this post, you will learn the definition of 25 different types of probability distributions. Probability distributions play an important role in statistics and in many other fields, such as economics, engineering, and finance. They are used to model all sorts of real-world phenomena, from the weather to stock market prices. Before we get into understanding different types of probability distributions, let’s understand some fundamentals. If you are a data scientist, you would like to go through these distributions. This page could also be seen as a cheat sheet for probability distributions. What are Probability Distributions? Probability distributions are a way of describing how likely it is for a random …
Data Variables Types & Uses in Data Science
In data science, variables are the building blocks of any analysis. They allow us to group, compare, and contrast data points to uncover trends and draw conclusions. But not all variables are created equal; there are different types of variables that have specific uses in data science. In this blog post, we’ll explore the different variable types and their uses in data science. The picture below represents different types of variables one can find when working on statistics / data science projects: Lets understand each types of variables in the following sections. Categorical / Qualitative Variables Categorical variables are a type of data that can be grouped into categories, based …
AI Product Manager Interview Questions
AI has become such an integral part of our lives that it is important to hire professionals who can help create AI / machine learning products that will be used by many people. These AI product manager interview questions will give you insight into your product manager candidate’s experience, skills, and industry knowledge so that you can get prepared in a better manner before appearing for your next interview as an AI product manager. Check out a detailed interview questions and answers with greater focus on machine learning topics. Before getting into the list of interview questions, lets understand what can be the job description of an AI product manager. …
Climate Change Initiatives at Global Level
The effects of climate change are becoming more severe as each day passes. With the future of our planet at stake, it’s important to understand the global initiatives currently in place to reduce carbon emissions and mitigate the effects of climate change. In this blog post, we’ll look at some of the most important initiatives being taken around the world to address this critical issue. At some point, we will start using data from these initiatives for discussions on how businesses and governments could work together to save our planet while leveraging data analytics solutions. UNFCCC (United Nations Framework Convention on Climate Change) UNFCCC is an international treaty that sets …
Data Governance Goals Explained with Examples
Data governance is an important element of any organization’s data management strategy. It provides a framework for creating, managing and monitoring data within an organization. This ensures that the data is accurate, consistent, secure, and compliant with all relevant regulations. It also allows organizations to make informed decisions based on quality data. In this blog post, we will explore the goals and objectives of good data governance and provide some examples to help you implement it in your organization. Here is the picture representing the most important goals of data governance: Protect the needs of data stakeholders Data governance helps protect the needs of data stakeholders by ensuring that the …
Climate Analysis & Top Questions for Leadership
As a business leader, it is important to understand the impact of climate change on business and society at large and the importance of performing climate analysis. Climate analysis can provide useful insights on how your business can be more sustainable and efficient in their operations while building a resilient business. This blog will mention some of the key questions that leadership should consider when evaluating their current climate change related strategies. What is climate change impact analysis? Climate change analysis can be defined as an assessment of the existing environment in which a business operates and how it impacts the sustainability of the organization. It looks at everything from …
Types of Frequency Distribution & Examples
Frequency distributions are an important tool for data scientists, statisticians, and other professionals who work with data. Frequency distributions help to organize and summarize data, making it easier to identify the behavior of the data including patterns and trends. Evaluating frequency distribution is one of the important technique of univariate descriptive statistics. In this article, we’ll take a look at the concepts of the frequency distribution, its different types and provide some examples of each. What is Frequency Distribution? Frequency distribution is a statistical tool used to represent the frequency with which different categories of a qualitative or quantitative variable occur. It provides an overview of the data and allows …
Data Catalog Concepts, Tools & Examples
A data catalog is a comprehensive collection of information about an organization’s data assets, and it serves as the foundation for making informed decisions about how to manage and use data. This includes all types of data, structured or unstructured, spread across multiple sources including databases, websites, stored documents, and more. A good data catalog should provide users with the ability to quickly identify what types of data are available within the organization, where they are located, and who owns them. In this blog, we will learn basic concepts of data catalog along with some examples. What is Data Catalog? A data catalog is a comprehensive inventory of all the …
Most Common Data Pitfalls to Avoid
Working with data can be a powerful tool, but there are some common pitfalls that a data professionals including data analysts & data scientists should always be aware of when gathering, storing, and analyzing data. Good data is essential for any successful analytics project, and understanding the most common data pitfalls will help you avoid them. In this blog, we will take a look at what these mistakes are and how to avoid them. The picture below represents the most common data pitfalls to avoid. Considering Data as the Truth One major data pitfall is when people consider data as absolute truth (reflection of reality) without taking any other factors …
Top ESG Benchmarks / Companies List
ESG (Environmental, Social, and Governance) benchmarking is an important part of any company’s sustainability strategy. But with so many options available, it can be difficult to know which companies to trust. To help you make the right decision for your business, let’s take a look at some of the top ESG benchmarks which is adopted by the companies across the globe in the market today. Dow Jones Sustainability Index (DJSI) The Dow Jones Sustainability Index (DJSI) is an important tool for evaluating how well companies are meeting environmental, social and governance (ESG) goals. The index measures the performance of global sustainability leaders by providing a comprehensive assessment of corporate sustainability …
NoSQL Data Models Types: Concepts & Examples
Not every data set fits neatly into a traditional SQL relational database. To address the need for more flexible databases, NoSQL data models were developed. These models allow for faster development cycles, larger data sets and greater scalability than traditional SQL databases. In this post, we’ll provide an overview of NoSQL data models and some examples of how they are used in real-world applications. NoSQL Data Model Types NoSQL data models can be divided into four main types: document stores, key-value stores, graph databases, and column stores. Each type has its own unique strengths and weaknesses and is best suited to certain types of applications or use cases. Here’s a …
Scaling Techniques for Relational Databases
When it comes to relational databases, scaling can be a difficult process. As data volume increases, the performance of the database can suffer. To ensure that your database continues to perform at its best, you must scale it properly. In this blog post, we’ll explore some of the techniques used to scaling up and scaling out the relational databases for maximum performance. Scaling up Scaling up (vertical scaling) of a relational database is the practice of increasing the capacity of a single server, either by adding more memory, processors, and/or storage to the existing setup. As a matter of fact, this technique can also be used for non-relational databases. This …
Building AI-powered Organization & Cultural Traits
Artificial Intelligence (AI) has become an integral part of many organizations’ operations. From customer service to supply chain management, AI is increasingly being used to automate and streamline processes. However, AI can do more than just help you run your business more efficiently; it can also be used to build organizational culture and foster data-driven decision making in general while leveraging analytical tools & techniques. Let’s take a look at how AI-powered organizational and cultural traits can help improve the workplace. The following picture is a summary of cultural traits in AI-driven organization Be Curious The adoption of artificial intelligence (AI) within an organization can enhance curiosity in several ways. …
Data Science Interview Questions – List
Are you preparing for a data science interview and looking for some common questions that may be asked? Look no further! In this blog post, we will provide a list of potential interview questions for a data science position. These questions cover a range of topics, from technical skills and experience to problem-solving and communication. Whether you are a seasoned data scientist or just starting out in the field, these questions will help you get ready for your upcoming interview and showcase your knowledge and expertise. So let’s dive in and see what’s in store! Here are some of the most popular / potential interview questions that may be asked …
I found it very helpful. However the differences are not too understandable for me