Author Archives: Ajitesh Kumar

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking

One-way ANOVA test: Concepts, Formula & Examples

One way ANOVA table example

An ANalysis Of VAriance (ANOVA) test, also known as a one-way ANOVA test, is a hypothesis test used to determine whether there is a significant difference between the means of three or more groups. In other words, it can be used to answer the question of whether the averages of three or more populations are equal. If there is a need to compare the means of two populations (independent or pairwise), t-tests can be used. One-way ANOVA test or single-factor Anova test is often used in experiments with only one independent variable. As data scientists, it is of utmost importance to understand the ANOVA test as it is an important …

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Linear regression t-test: Formula, Example

Linear regression line slope 0

In linear regression, the t-test is a statistical hypothesis testing technique that is used to test the linearity of the relationship between the response variable and different predictor variables. In other words, it is used to determine whether or not there is a linear correlation between the response and predictor variables. The t-test helps to determine if this linear relationship is statistically significant. As data scientists, it is of utmost importance to understand why t-statistics is used to determine the coefficients of the linear regression model. In this blog, we will discuss linear regression and t-test and related formulas and examples. What is linear regression? Linear regression is defined as …

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Most In-Demand Skills for Data Scientists in 2022

most in-demand data science skills

The data science field is growing rapidly and data scientists are in high demand. If you want to enter this field, it’s important that you have the right skills. In this blog post, we’ll explore the most in-demand skills of data scientist employers are looking for the most and how to develop these skills so that you can find a job as a data scientist. Strong knowledge and experience with Statistical/ML methods: Strong familiarity with statistical concepts such as probability distributions (e.g., normal distribution), concepts of hypothesis testing, regression analysis, etc is essential for becoming a great data scientist. One of the most important ask for a data scientist is …

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Posted in Career Planning, Data Science, Interview questions. Tagged with , .

Data Storytelling Explained with Examples

MS Dhoni - Former Captain of Indian Cricket Team

Have you ever told a story to someone, but they just didn’t seem to understand it? They might have been confused about the plot or why the characters acted in certain ways. If this has happened to you before, then you are not alone. Many people struggle with data storytelling because they do not know how to communicate their data effectively.  In this blog post, you will learn about some of the key concepts in relation to data storytelling and why data scientists / data analyst should acquire this skill. Data storytelling is one of the key skills which data scientists would need to acquire in order to do a …

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6 Brainstorming Techniques for Generating Great Ideas

Mind mapping brainstorming ideas

When it comes to generating great ideas, brainstorming is one of the most effective techniques out there. But not all brainstorming sessions are created equal. In order for a brainstorming session to be successful, you need to use the right techniques. In this blog post, we will discuss 6 different types of brainstorming techniques and explain how they can help you come up with great ideas.  Nominal Group Technique (NGT) The nominal group technique (NGT) is defined as a brainstorming method where ideas are generated and voted upon in an organized manner. In NGT, teams brainstorm individually to come up with ideas, which are then discussed as a group. Each …

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When to Use Z-test vs T-test: Differences, Examples

When it comes to statistical tests, z-test and t-test are two of the most commonly used. But what is the difference between z-test and t-test? And when should you use Z-test vs T-test? In this blog post, we will answer all these questions and more! We will start by explaining the difference between z-test and t-test in terms of their formulas. Then we will go over some examples so that you can see how each test is used in practice. As data scientists, it is important to understand the difference between z-test and t-test so that you can choose the right test for your data. Let’s get started! Difference between …

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One-sample Z-test for Means: Formula & Examples

z-test one-tailed or two-tailed tests

One sample Z-test for means is one of the statistical techniques used for testing hypothesis related to whether the sample belongs to a population. As a data scientist, you must get a good understanding of the z-test and its applications to test the hypothesis for your statistical models. In this blog post, we will discuss the one sample z-test for means and its concepts with an example. You may want to check my post on hypothesis testing titled – Hypothesis testing explained with examples What is One-sample Z-test for Means? Z-test is usually referred to as a 1-sample Z-test for means that is used to test the hypothesis about the …

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Z-tests for Hypothesis testing: Formula & Examples

Different types of Z-test - One sample and two samples

Z-tests are statistical hypothesis testing techniques that are used to determine whether the null hypothesis relating to comparing sample means or proportions with that of population at a given significance level can be rejected or otherwise based on the z-statistics or z-score. As a data scientist, you must get a good understanding of the z-tests and its applications to test the hypothesis for your statistical models. In this blog post, we will discuss an overview of different types of z-tests and related concepts with the help of examples. You may want to check my post on hypothesis testing titled – Hypothesis testing explained with examples What are Z-tests & Z-statistics? …

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One sample Z-test for proportion: Formula & Examples

one sample proportion z-test

One proportion z-test or one-sample Z-test for proportion is one of the most popular statistical hypothesis tests dealing with one sample proportion. It is used to determine whether or not a hypothesized mean difference between the sample and the population can be rejected by drawing conclusions from sample data. As a data scientist, it is important to be proficient in this type of Z-test and understand how it works. In this blog post, we will learn about how one proportion z-test works with the help of formula and examples. What is one sample Z-test for proportion? A one proportion Z-test is a hypothesis testing technique which is used for testing …

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Two independent samples t-tests: Formula & Examples

pooled t-statistics

In statistics, the two sample t-test for independent samples is a type of hypothesis test that can be used to determine whether the means of two populations are statistically different given the two samples are independent and have normal distributions. As data scientists, it is important to understand how to use the two sample t-test for independent samples so that you can correctly analyze your data. In this blog post, we will discuss the two sample t-test for independent samples in detail, including the formula and examples. What is two-sample T-test? A two-sample T-test is defined as statistical hypothesis testing technique in which two independent samples are compared to determine …

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One Sample T-test: Formula & Examples

one sample t-test formula and examples

In statistics, the t-test is often used in research when the researcher wants to know if there is a significant difference between the mean of sample and the population, or whether there is a significant difference between the means of two different groups. There are two types of t-tests: the one sample t-test and the two samples t-test. As data scientists, it is important for us to understand the concepts of t-test and how to use it in our data analysis. In this blog post, we will focus on the one sample t-test and explain with formula and examples. What is one-sample T-test? One-sample T-test is a statistical hypothesis testing …

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Z-test MCQs with Answers: Interview Questions

Z-test MCQs with questions and answers

In this blog post, you can test your knowledge about Z-test, Z-statistics and related concepts through multiple choice questions (MCQs) and answers. Getting a good understanding of Z-tests, Z-statistics and Z-distribution is of utmost importance for data scientists at large. The following are key concepts around which the MCQs are posted: Z-score or Z-statistics concepts Estimation of population mean and proportion 1-sample Z-test for mean and proportion 2-samples Z-test for mean and proportion Z-test Interview Questions Samples The following is a list of interview questions that you would want to learn: What is Z-score? Explain with an example and formula. What are different types of Z-tests? Explain with formula and …

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Posted in Career Planning, Data Science, Interview questions, statistics. Tagged with , , .

What are Actionable Insights: Examples & Concepts

actionable insights concepts examples

The idea of actionable insights is something that has gone mainstream across different departments in any and every business due to the onset of digital transformation initiatives at large. Today, actionable insights are at the heart of many successful business decisions, and are used to help your company grow further than ever before. Actionable insights are key to any data analytics initiatives which are at the heart of digital transformation. Analytics centered around actionable insights is also termed actionable analytics. In this blog post, actionable insights are explained with examples along with few actionable analytics tools which are used when dealing with actionable insights. What are actionable insights? Actionable insights …

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Z-score or Z-statistics: Concepts, Formula & Examples

z-scores formula concepts and examples

Z-scores or Z-statistics represent a statistical technique of measuring the deviation of data from the mean. There are different formula used for Z-score or Z-statistics depending upon what is measured. Z-statistics is generally used with Z-test which is a hypothesis testing statistical technique. As a data scientist, it is of utmost importance to be well-versed with the z-score formula and its various applications. Having great clarity on the concept of Z-score and/or Z-statistics will help you use the correct formula for calculation in the appropriate cases. In this blog post, we will discuss the concept of Z-score, concepts, formula, and examples. Z-score / Z-statistics Concepts & Formula The Z-score formula …

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Two samples Z-test for Means: Formula & Examples

two sample z-test for means formula and examples

In statistics, a two-sample z-test for means is used to determine if the means of two populations are equal. This test is used when the population standard deviations are known. As data scientists, it is of utmost importance to be able to understand and conduct this test accurately. This blog post will provide a detailed explanation of the two-sample z-test for means, as well as examples to help illustrate how it is used. What is a two-sample Z-test for means? Two-sample Z-test for means is a statistical hypothesis testing technique that is used to determine if the difference between the two population means is not statistically significant. This test is …

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OKRs vs KPIs: Differences and Examples

Objectives and Key Results - OKRs

The difference between OKRs and KPIs is not always clear, but the concept is a great way to measure the progress towards achieving your business objectives. As business analysts, product managers, or project or team leaders, it is important to understand the OKRs & KPIs differences. In this blog post, we will discuss OKR vs KPI and how each can be used to measure different aspects of your team’s and organization’s performance in relation to achieving your goals. We’ll also go over real-world examples for both OKRs and KPIs so you can get a better understanding of how these metrics work in real life. What are OKRs? OKR stands for …

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