Think Different

photo: pexel Are you new to SQL and preparing for your first job that requires SQL knowledge?  This blog post is designed specifically for beginners like you who are just starting out on their journey with SQL. Whether you're a student, a recent graduate, or someone looking to transition into a tech role, this guide will help you build a strong foundation in SQL concepts, understand common SQL queries, and prepare you for the types of SQL tasks you might encounter in your first job. We'll break down complex concepts into easy-to-understand steps, provide practical examples, and give you tips to succeed in interviews and on the job. Let's get you job-ready with SQL! Below is the table structure for the `customer`, `user_account`, and `contact` tables in a more visual format: Below are the SQL statements to create the `customer`, `user_account`, and `contact` tables according to the schema provided: 1. `customer` Table ```sql CREATE TABLE customer (     id INT PRIMARY KEY, ...

                                Photo by olia danilevich In the world of software engineering, interviews can be quite challenging. They often involve a series of coding assessments that test not only your knowledge but also your problem-solving skills, algorithmic thinking, and coding proficiency. The quest to secure your dream job can be daunting, but with determination and the right approach, it's entirely achievable. The Journey Begins I embarked on a journey to tackle these coding assessments head-on. I committed myself to completing 150 of the most must-solve coding challenges, and the experience was nothing short of transformative. This blog post is not just a bragging right; it's an insight into how I managed to overcome the hurdles and what motivated me throughout the journey. My goal is to inspire and guide those of you who are on a similar path. So, here are some valuable takeaw...

  1. How do you handle missing or corrupted data in a data set? There are a number of ways to handle missing or corrupted data in a data set. The best approach will depend on the specific data set and the problem you are trying to solve. Here are some common methods for handling missing or corrupted data: Remove the rows or columns with missing or corrupted data. This is a simple approach, but it can lead to a loss of data. Impute the missing or corrupted data. This involves using statistical methods to estimate the missing values. There are a number of different imputation methods available, such as mean imputation, median imputation, and k-nearest neighbors imputation. Use algorithms that can handle missing or corrupted data. Some machine learning algorithms are able to handle missing or corrupted data without any preprocessing. These algorithms are often referred to as "robust algorithms." Here is an example of how to impute missing values using the Python programming lang...

  When an interviewer asks you to "tell me about yourself," they are essentially asking you to introduce yourself and give them a brief overview of your skills, experience, and qualifications. Your introduction should be tailored to the specific job you are interviewing for, but there are some general tips that you can follow: Start by stating your name and where you are from. Briefly summarize your educational background and work experience. Highlight your skills and abilities that are relevant to the job. Be enthusiastic and positive. Be concise and to the point. Here is an example of an introduction that you could use when interviewing for a software engineering position: "Hi, my name is Bard. I am a recent graduate of the University of California, Berkeley, where I majored in computer science. I have experience working as a software engineer intern at Google and Amazon. I am a highly motivated and results-oriented individual with a strong passion for technology...