Google-backed edtech platform Cuemath’s losses went up by 8.3 per cent to reach Rs 235 crore in FY23, from Rs 217 crore in FY22. The startup’s revenue from operations nosedived 18.6 per cent to Rs 120.

EdTech Platform Cuemath Losses By 8.3% To ₹235 crore In FY23

As some major banks report attrition rates as high as 30 per cent, RBI Governor Shaktikanta Das said that every bank has to build a core team to take care of such issues.

Reserve Bank of India 'closely' watching high attrition at some private banks: RBI Governor Shaktikanta Das

According to a report in Entrackr, employee benefit hit Cuemath the most, forming 48 per cent of its total burn. This cost surged 38.2 per cent to Rs 173 crore in FY23 from Rs 126 crore in FY22, the report mentioned.

Edtech platform Cuemath's losses up, sales dips over 18%

B2B agritech firm Ninjacart’s gross revenue surpassed Rs 1,200 crore in 2023, company co-founder and CMO Kartheeswaran K K told Entrackr.

Ninjacart’s gross revenue crosses Rs 1,200 Cr in FY23

Employee benefit was the largest cost center for Cuemath which formed 48% of its total burn. This cost surged 38.2% to Rs 173 crore in FY23 from Rs 126 crore in FY22. The firm’s legal-professional, advertising cum promotion, rental, and other operations costs steered its total expenditure to Rs 360 crore in FY23 from Rs 370 crore in FY22.

Cuemath’s revenue shrinks in FY23, losses go up

Flipkart has partnered with insurtech firm ﻿Coverfox Insurance﻿ to offer a plug-and-play model. ﻿Pine Labs﻿ reported a 37% jump in operating revenue to Rs 1,280.5 crore in FY23. HealthifyMe﻿ posted a 1.

Flipkart revives its insurance game; Pine Labs' revenue jumps; losses balloon

While Cuemath managed to cut down its expenses, its financials reflect a drop in business sales, hitting the topline significantly.

Peak XV-backed edtech Cuemath's revenue drops 14% despite narrowing expenses

The all-India average retail price of onion rose to Rs 47 per kg on Friday, from Rs 30 per kg in the year-ago period, as per the data maintained by the consumer affairs ministry.

Retail onion price up 57%; Centre steps up buffer onion sale to provide relief to consumers

Edtech startup Coding Ninjas' revenue from operations grew over 2X to Rs 58.9 crore during the fiscal year ending March 2023

Info Edge-owned Coding Ninjas’ revenue, loss surge 2X in FY23

Edtech firm Physics Wallah is planning to expand its counselling centres for students' well-being to 18 cities, the company said on Wednesday.

Physics Wallah plans to open offline counselling centres in 16 more cities

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As a product designer, A/B Testing is an important process you should know, because it replaces assumptions with quantifiable data, and helps you gain actionable insights into user behavior to improve usability and make user-centered design decisions. A/B Testing, also known as split testing, is a user experience research method, where you split your audience to compare two variations "A" and "B" of your product design to determine which is more effective. from images layouts, interfaces, buttons, and many more. It basically replaces guesswork with data-informed decisions for positive results. You can test varieties of elements with A/B testing, to But just how do you conduct effective A/B tests? And how do you analyze the data and convert it into actionable insights? Like any design endeavor, effective A/B testing should follow a clearly defined approach. This guide defines that approach, and how you can use A/B testing  for product design improvement. 1. Research and Identify a variable for testing The first step is to conduct research to understand the issues and problems users have with your product design, and what would appeal to them instead. A/B testing is informed by research, so you have to analyze how  users interact with your product to know the aspect that most needs optimization, and use the data to determine the direction of your A/B test. For example, if you found out only a few users are using the new feature you launched. The problem could be the , due to the fact that poor navigation affects . navigation system usability So let's assume the problem is the , and that's the variable we are testing for. navigation system 2. Define the objective of the test Before carrying out your A/B test, you need to have a goal for the test, i.e, you have to set key performance indicators that'll determine the success of the test. In our case, what are we looking to improve with the test? We are looking to increase the , by redesigning the navigation system. feature adoption rate So our objective here is to redesign the navigation system and check if the new variation increases the adoption rate. 3. Formulate your hypothesis Before we formulate a hypothesis for our A/B test, let's understand what it  means.  Put simply, a hypothesis is a testable statement that predicts a suggested outcome. It is basically an assumption that can be verified by testing. From the example above, our  hypothesis will be: "If  we redesign the navigation system, the feature adoption rate will increase" However, in hypothesis testing, we have to make two hypotheses: i. Null hypothesis This hypothesis states that there is no relationship between the two variables being tested, and the outcome of the test is due to pure chance, i.e there's no real effect behind the data our A/B test has produced, and our new variation doesn't make any difference. The null hypothesis in our A/B test example will be: " A new navigation system will not increase the new feature's adoption  rate" But if the results provide enough evidence against the claim that the A/B test didn't have any effect, then we can reject the null hypothesis. This hypothesis challenges the null hypothesis with the claim that our A/B test hypothesis will prove to be true. ii. Alternative hypothesis The alternative hypothesis in our A/B test example will be: "A new navigation system will increase the new feature's adoption rate" Now we'll have to collect enough evidence from our A/B test to reject the null hypothesis and prove that the alternative hypothesis is true. 4. Create your Control group and Test group The next step is to decide the group of users that will participate in the test. In A/B testing, we have two groups – The Control group, and the Test  group. The Control group is the group of users that'll be shown the existing version of the navigation system during the A/B test,  and the Test group will be shown the new variation throughout the A/B test. You have to create the two groups by randomly selecting the users using a method called random sampling to eliminate bias. You also have to choose a before conducting the test to eliminate undercoverage bias, i.e a bias that occurs due to sampling few users. To avoid this bias, use a sample size calculator from , , , other to calculate the sample size your A/B test will need. sample size Optimizely VWO Google Optimize or A/B testing software 5. Conduct the A/B test You can run the test by measuring the performance of the two  variations daily. In our case, we'll measure the daily "adoption rate" of each navigation system, or you can use any of the A/B testing software mentioned above to track the performance . This software ensures that each variation is automatically shown 50% of the time to eliminate bias. manually automatically The testing period might last several days or weeks, depending on how long it takes to ensure that each variation has been shown to the appropriate sample size. The  interaction of each user will  then be measured and analyzed to determine the performance of  each variation. If you run your test for a longer period of time, more users will be involved and this lowers the risk of results being down to chance. 6. Analyze result This is the most crucial stage of the A/B test because this is the point that determines which variation has the higher user engagement. Let's say we analyzed our A/B test example, and the result states that  the test group has a 15% adoption rate and our test group has 45%. Does this mean the new variation is doing better than the former? , we can't draw conclusions without testing the validity. Regardless of whether an A/B test has a positive or negative outcome, you have to calculate the statistical significance of the test to prove the reliability of your results. The answer is no Statistical Significance Of The Test Statistical significance measures the certainty of the result obtained from an A/B Test. The higher its value, the more you can trust that your result is not due to error or random chance. To fully understand  Statistical significance, you have to be familiar with these terms: (i)Significance Level (alpha): Significance level or α, is the probability of rejecting the null hypothesis when it is true, i.e the test results could have occurred by chance. You can choose a significance level of 5% or less. This means that there is a 5% probability that your results occurred by chance. We'll compare our significance level with the terms below to determine our result's statistical significance. (ii) Confidence Level: Confidence level measures the degree of certainty or uncertainty of an A/B test. The confidence level is equivalent to  (1 – α) significance level ). So, if your significance level is 5%, the corresponding confidence level is 95%. This means that there's only a 5% probability that your results occurred by chance. Then we can say that you're 95% sure that variation A is better than  Variation B" (iii) P-value: P-Value is the probability that your results occurred as a result of random chance. If your P-value is lower than your significance level (α) , then your results are  statistically significant. The lower your p-value, the higher the statistical significance of your A/B test. A P-value greater than 5% means your null hypothesis is true, and your results occurred by chance.  (P-value ≤ α = Statistical Significance) ✅ Calculate your P-value using this formula: Cuemath You can use either P-values or confidence levels  to determine the statistical significance of your results, but using a is much simpler and more efficient than manually doing the calculations. You can use a statistical significance calculator from Optimizely or Google Optimize to calculate your statistical significance. If your result is statistically significant, you can go ahead with  your new variation, and continue to improve your product design with A/B testing. statistical significance calculator Stop Guessing! Start Testing A/B testing provides clear data to support or debunk product design decisions, so you can ensure every implementation produces positive results. It also helps you understand how certain elements of your design impact user behavior so you can improve the areas that need optimization. The sooner you start testing, the sooner you can identify areas for improvement, and the better your product design. Illustration by Wingify Also published . here

How to Use A/B Testing for Product Design Improvement

How to Create a Converting Website for EdTech; An Analysis of 30 Landing Pages

Coding is the future of tomorrow. As all industries shift to a more digitized platform, has become an essential part of the educational curriculum. In this article, we will take a look at two widely used programming languages - Python and Java, to get an idea of what language to choose to depend on the kid’s requirement. coding for kids What is Python? Python is a general-purpose and high-level programming language. It is dynamically typed and garbage collected. Python supports several programming paradigms, object-oriented and functional programming. This language was specifically designed by Guido van Rossum for the purpose of readability as it is very similar to the English language with mathematical influences. Most programming languages use semicolons or parentheses to complete commands, while Python uses new lines, making it easier for the user to write code. Python is compatible with several platforms such as Windows, Mac, Linux, etc. Real-World Uses of Python is the first step to a child’s successful future as this programming language is used in a variety of real-world applications. Python for kids Web Development Python is used to develop several web applications. The backend logic of the frameworks used by Python can use the libraries provided to integrate several protocols such as HTTPS, FTP, etc. Game Development Python is used to develop several interactive games with the help of libraries such as PyGame that provides functionality and a library for game development. Artificial Intelligence and Machine Learning Python is the most widely used language for artificial intelligence and machine learning as it supports this domain with some amazing libraries such as Pandas, Scikit-Learn, NumPy, etc. What is Java? Java is a low-level, object-oriented, and class-based general-purpose programming language. It was designed so that application developers could compile a Java code once that can run on all platforms that could support Java without recompiling it. Java can work on Windows, Mac, Linux, etc. It is easy to use, open-source and free. As Java is close to C++ and C#, it is easy for coders to switch between these languages easily. Real-World Uses of Java Mobile Applications Java is the official programming language used for developing mobile applications as it is compatible with software such as Kotlin and Android Studio. As it follows OOP (object-oriented programming) principles, it can provide better security. Web Applications Java offers easy coding, high security, and provides support making it easy to develop any type of web application. Gaming Applications Java has an unparalleled capability for designing 3D games; however, garbage collection cycles can cause pauses. Conclusion For any child who wants to pursue computer science in the future, knowledge of both languages is a must. Neither language is inferior. You can choose any language to start a coding career, but getting the right guidance is the key to success and gaining confidence. By turning to a reliable teaching platform such as Cuemath, a student is sure to have his basics clear and can work with any language. The certified tutors ensure that kids understand the logic building, algorithm development, and other concepts related to computer science. The courses provided by Cuemath are flexible and can easily be integrated into a child’s schedule, and the classes are one on one enabling students to clear doubts immediately. For students who are just starting their programming journey, the first language that they can learn is Python due to its interactive shell. However, Java cannot be neglected. Once a student is good with Python, he can move on to learning about Java. Hopefully, this article inspires you to learn more about coding.

Coding For The Generation Alpha: Should Our Kids Learn Java Or Python?

I am excited to announce the launch of The Crypto University [ ] — an online school to learn about all things crypto & blockchain. www.thecryptouniversity.io My buddy Ryan ( ) and I have been looking closely at the crypto space (and no —not just Bitcoin) for quite some time now and we are fascinated by the potential some of these cryptos have to solving the inefficiencies that exist in industries such as accounting, real estate and finance. Ryan Chadha What is equally fascinating (and slightly frightening) is the sheer number of people putting money into the crypto space without completely understanding what exactly they are putting money into. What exactly is Bitcoin? Why is it so expensive to buy? What exactly is a wallet private key? What would happen if I lose it? What are these new coins like Ripple, Stellar Lumens that I keep hearing about? How is the value for these cryptocurrencies determined? What kind of revenues are these cryptos generating? These are just some of the questions that people keep asking us on a fairly regular basis. Ryan and I decided to start the Crypto University because we wanted to help people truly understand the underlying technology & value behind these ‘coins’ in the crypto-space. Who are we? is a good friend of mine who gave up the life of a commodity trader in London to start a school in Bangalore that aims to inculcate curiosity, confidence and perseverance in children. He is a sponge when it comes to absorbing information and is incredible at taking a risk-adjusted view of his investments. Ryan Chadha I ( ) am an engineer at heart and have been working at various companies like Microsoft, Yelp, Rent The Runway, Oyster & Cuemath both as a Software Engineer & Product Engineer. I have had an interest in cryptography since I took information security classes at Carnegie Mellon University and am fascinated by applications that are being built on top of the blockchain. Rohith Salim There are a lot of ‘scams’ out there in the crypto-world. However, Ryan and I truly believe that there is work being done to solve some of the big problems that plague the world today — t . ake Dash for example that formed a partnership with KuvaCash to tackle the inflation problem in Zimbabwe A lot of the developed economies may be unaware of these issues but in places like India, . proving your identity to even get something as simple as a bank account is a huge issue We don’t believe that Blockchain technology is the magic bullet to solving every single problem out there but it can be leveraged to solve a lot of inefficiencies in the system. More about the school Both Ryan and I want to ensure that this school offers a lot of value irrespective of your experience in the crypto-world. These are some of the courses that we have recently created: This is a course that we built to explain Bitcoin & Blockchain in the simplest way possible. In-fact these are the same set of lectures that I used to teach my 13 year old niece about this ecosystem. Bitcoin Simplified [Free] This is a historical analysis of Bitcoin — starting from the credit crunch in 2008, all the way to the recent introduction of Bitcoin Futures on December 10th, 2017.Bitcoin has had a bumpy ride, and a lot has happened since the first transaction took place in 2009. After this course, you will have a good idea of what to watch out for when investing in different crypto currencies and, also give meaning to events as they pertain to this market. Monuments in Bitcoin History [Free] This is for people who want to take a deep dive into blockchain and cryptocurrency — starting from the very basics and building up to a level where you will be able to understand a lot of nuanced aspects, and navigate the complexity of the space with confidence.We are offering amazing launch offers for this course (as much as 90% off) for a limited time via our . The Crypto Masterclass [Pre-launch Offers Available] Indiegogo campaign This is truly just the beginning. Ryan has a some really interesting courses related to investing that he wants to teach all of you and I will be teaching you the basics of building applications on platforms like Ethereum. Both Ryan and I would really like to thank everyone who have been supporting us while we built . From offering constructive feedback to giving us warm intros to people in the crypto-space, we really appreciate all the help. the Crypto University We hope you check out our school ( ) and share it with any of your friends of family members who might be interested in learning more about this space. www.thecryptouniversity.io

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