Share a pic of your DIY jack-o’-lantern or halloween costume to win a spooky prize. Halloween is upon us! And there’s lots of costume parties and trick-or-treating to be had. But if you’d just like to chill at home, we invite you to join us in our online festivities—and possibly even win a course bundle of your choice! This Halloween season, Vertabelo Academy is hosting a jack-o’-lantern and costume contest.
Visualizing data using mediums like graphs, charts, and diagrams allows businesses to make better sense of the massive amounts of information they receive. Rather than disseminating sheets of data in number form, visual depictions allow you to more quickly and intuitively convey ideas and concepts to your team. Stephen Brobst, CTO of Teradata, tells us: “Seventy percent of the sense receptors are in the eyeball. Nothing is as powerful as visualizing data.
Technologies are constantly developing, and so is the labor market. Here are some tech jobs born in the 21st century. I vaguely remember a time when people in public transport read books, talked with each other, or simply looked at the scenery rolling past their windows. Now, we’re all occupied with our mobile phones. It’s no surprise, really—with smartphones, we can do almost everything: chatting, shopping, working, watching TV series, learning, and much more.
Typical business users make decisions based on gut feelings, but this can’t get them so far. In this article, we’ll look at how learning to write basic SQL queries helps your company become a data-driven organization. Businesses face many decisions. Do we increase our advertising budget in one region or the other? Are certain products selling quickly enough? What we should do if they aren’t? Most of these decisions are driven by intuition, but organizations that make the most business impact use data-driven decision-making.
-- -- Microsoft SQL Server is one of the most popular professional database servers on the market. In this guide, I’ll show you all SQL Server 2017 installation steps to help you install it on the Windows operating system together with SQL Management Studio. How to Install Microsoft SQL Server 2017 In this guide, I’ll show you the SQL Server 2017 installation step by step.
Data Scienceand Big Data are the biggest industry buzzwords in 2018. Experts believe that artificial intelligence (AI) systems will continue to reign supreme in the technology marathon through 2019. “More than 40 percent of data science tasks will be automated by 2020.” –Gartner The data science trends for 2019 are essentially a continuation of some of the key trends of 2018, including areas such as: Machine learning (ML) Artificial intelligence (AI) Big data Edge computing Blockchain Digital twins Serverless computing Because data science is so vast and challenging to navigate, we’ve compiled a list of the most popular data science articles that dominated the industry over the past 12 months.
In this article, I’ll explain how to run a SQL query to help you execute your first one. Let’s jump right in! Running SQL queries for the first time is not a complex task, but it can seem intimidating at first if you’re a complete beginner. But once you get past that initial roadblock, you’ll be able to focus on learning SQL and writing more interesting queries to meet your business needs.
R is an extremely powerful and lucrative language for data science, and as of 2018, it’s one of the most popular programming language choices for data science professionals. R is an open-source programming language that’s widely used by data miners, statisticians, and data scientists to perform statistical computing as well as data analysis. Given R’s increasing popularity, R professionals are faced with plenty of career options and future possibilities.
Have you ever liked a TV show so much that simply watching it wasn’t enough anymore? Read on to discover how I used R to analyze South Park dialog and ratings! South Parkis an American TV show for adults that’s well known for being very satirical—the series has made fun of nearly every celebrity and isn’t afraid to be provocative. I literally watch the show every day. I also do lots of data analysis in R every day!
Information technology is one of the hottest industries in the world and offers thousands of job in each major city around the globe. If you’re a student or professional who wants to get IT skills and find your first job in the industry, Vertabelo Academy can help you get started. The range of IT jobs available is stunning—from software engineers to system administrators and data scientists, IT rules the job market.
The Vertabelo Academy Team has been working hard to release a brand-new course, and it’s finally here! Python Basics for Programming is a great place to start for anyone aspiring to become a software developer. Since our SQL courses, the Vertabelo Academy platform has been embraced by thousands of students who are eager to learn new technologies. After releasing Intro to Python for Data Science last month, we asked ourselves: why not create another introductory Python course, but this time from a software developer’s perspective?
Unfortunately, data isn’t always available in the exact structure you prefer. And there’s nothing more frustrating than having inconsistent, untidy data that produces biased results. Let’s take a look at how the Tidyverse can help. What is Tidyverse? Before you can conduct any analyses or draw any conclusions, you often need to reorganize your data. The Tidyverse is a collection of R packages built around the basic concept that data in a table should have one observation per row, one variable per column, and only one value per cell.
How much SQL do you know? Test your knowledge with this crossword to find out! Contest Rules Download Vertabelo Academy SQL crossword. Solve tasks and unlock its solution. Send your answer at email@example.com before👉 September 8, 2018. Wait and win a special prize 💜 Prizes will be drawn among the users who will send us the correct solution. Then winners will be contacted by email within 7 days from contest closing.
One of the oldest jokes in the business world goes like this: The CFO asked the CEO, “What happens if we invest in developing people and they leave us?” The CEO answered, “What happens if we don’t and they stay?” If you’re like the CEO and want to help your employees grow, this article will explain how you can do so with Vertabelo Academy. Vertabelo Academy has been around since 2015.
IT-related careers are some of the hottest in the industry, as they boast high wages and increasing demand. Have you ever considered learning to code but felt it’s impossible because you chose to study non-technical subjects? Think again—it’s actually never too late to learn how to code. Are you sure you want to do this? Currently, a computer science degree is not necessarily required to find a job in IT.
Indexes are one of the most misused and misunderstood entities in physical database design. A good understanding of indexes and how they solve database performance problems is necessary for any database novice. In this article, we’ll look at basic database indexes and their role in database development. To picture what an index is, consider a textbook. At the end of most textbooks is an index listing all the terms one can find in the text and the pages on which they appear.
Which influential data scientists are leading the charge? To help you keep up with the latest data science trends, we’ve compiled a list of the top data science and big data experts worth following. Putting Your Data to Work! Data science has long been a driving force in modern business, but even more so now with the wealth of data at our fingertips. Data is everywhere, thus, we need to learn how to make the most of it and get ahead in business.
Over the past three months, we’ve been working on something completely new. Please welcome our new course on Python data analysis! We got many emails from users like you with good feedback on our Introduction to R course. So first, I want to start off with a big thank you—reading your wonderful comments was like a burst of energy! We’re always looking to improve our offerings, and we greatly value your input.
Three years or three months? With all the 12-week bootcamps and coding schools out there, three years sound like a joke. “Enroll in our course today, and become an expert programmer!” “Start learning to code and jumpstart your programming career immediately!” Most probably, you’ve heard lots of claims like these if you’re interested in coding. Are they reassuring? Maybe. Frustrating? Sometimes. If you’ve been learning for a year and still feel like a newbie programmer while others are starting their careers in three months, you start to wonder: What’s wrong with me?
SQL wildcard allows us to filter data matching certain patterns in SQL. We use SQL wildcards with the LIKE operator in the WHERE clause of a query to filter data. In this beginner’s article, we’ll look at everything you need to know about basic SQL wildcards. If you like playing cards, then you know that wildcards can substitute any other card in your deck. Similarly, SQL wildcards can substitute one or more characters.
If you’re looking for the best online SQL courses but aren’t sure where to start, you’re in the right place. I evaluated the top 7 ranked SQL schools available online to help you find the right solution. While summer is a great time to relax and get away from work, it’s also an excellent opportunity to learn new skills – like SQL! Thanks to SQL schools putting their courses on the internet, learning new tech skills is super easy and you can choose from a variety of formats to suit your needs.
Sometimes, SQL queries return lots of data you don’t need. In this article, we’ll look at a simple example of filtering SQL queries to reduce the complexity of your data. The key to learning how to filter data in SQL is understanding the very basics of Boolean algebra. That’s just a fancy term mathematicians use to describe expressions involving logical values (true/false) and their associated operators (and, or, not, etc.
R and Python are two of the most popular data science languages, but which one is better? And will Python replace R in the near future? Let’s find out! R vs. Python: the Basics First, some history. R first appeared in 1990; it was derived from the language S, a statistical programming language developed for statisticians. It was (and still is) commonly used in educational settings and is a favorite among biostatisticians.
Think summer is reserved for flying to warm places and hanging out at the beach? Sure! But it’s also a great time to learn new skills that you haven’t had time for. If you recently graduated from high school and want to get a head start on computer programming for college, learning SQL over the summer is a great opportunity. You have nothing to lose and everything to gain—SQL is actually really easy to learn, especially with so much free time over the summer.
Programmers commonly have many questions about R, a popular programming language in data science and analysis. R is used all over the world by professionals in the fields of data science, data visualization, data mining, and statistical analysis. But what exactly is R? Where did it come from? And why is it being used specifically by data science professionals? This article attempts to answer all these questions, including the most important of them all: Should you be learning R as well?
Why is June 21 the official start of summer? Let’s see how SQL can help us answer this question. The Summer Solstice Officially, June 21 is recognized as the summer solstice, the longest day of the entire year in terms of daylight. Why? Because on this day, the sun rises early and sets quite late. People in the Northern Hemisphere celebrate the summer solstice with feasts, bonfires, picnics, and traditional dances and songs.
In my previous articles, I explained how you can check for associations between two continuous and two discrete variables. This time, we’ll check for linear dependencies between continuous and discrete variables. You can do this by measuring the variance between the means of the continuous variable and different groups of the discrete variable. The null hypothesis here is that all variances between the means are a result of the variance within each group.
Have you ever wondered how you can deal with an overwhelming amount of data? How do you use it? How do you understand what it’s saying? And last but not least, how do you present your data to the world such that everyone understands your point? In this article, we’ll explore these questions to understand the importance of data visualization. Where are the data? When I want someone to understand my perspective, I try to visualize it precisely so I can communicate my thoughts.
Going from zero to one can be daunting in any endeavor. The same is true for learning new programming languages, even simple ones like SQL. In this article, we’ll take a look at some key insights that will help you understand the nuances of mastering SQL queries. If you’ve never used SQL, you’re in the right place. When learning anything new, you’ll find that there are always some key insights or tips that can help you on your way.
As SQL users, we usually focus on writing queries that return correct results. However, there are more things to consider when you’re writing a query; one of them is query performance. In this article, we’ll look at some examples where query response time is critical. Scene One: 911 Call Center Let’s suppose we’re at a 911 call center, when the phone rings. One of the operators answers the call; a witness reports that a man has been shot.
Data science professionals frequently coordinate their workloads, host meetings to discuss and share ideas, and collaborate to solve problems. But all it takes for things to fall apart is a lack of clear communication. Data Science is a team sport that involves a variety of professionals working together to solve technological problems. However, you need good communication for your team to run like a well-oiled machine. You may be thinking that poor communication isn’t that big of a deal.
Will robots replace humans in the near future? As machine learning and artificial intelligence continue to grow in popularity, this question becomes all the more relevant. Which jobs will become extinct, and what will society looks like in the future? If you’re a data analyst whose worried about their job security, don’t worry—there’s still hope for you! In this article, we’ll take a look at the skills a data analyst can acquire to become a data scientist and rise above these pesky robots 🙂
Unlock the potential of data! With this course, you’ll learn about data analytics, data science, statistical analysis, and functions in the R programming language. This course is perfect for people who have no prior knowledge of computer science or R programming. With Introduction to R, you’ll learn to work in the R programming language as you enter the promising world of data science. Why R is so famous According to the TIOBE programming community index, which ranks the popularity of all programming languages, R is one of the hottest programming languages of 2018.
There are many perceptions of IT, one of the fastest growing industries in the world. For a non-technical person, IT is usually associated with high salaries, numerous job offers, and elite clubs. But IT is more than just people earning big bucks for writing code. The most valuable part of the IT industry is its community. The first steps are the hardest As a complete IT newbie, I had lots of doubts and fears about entering the IT industry.
As an ambitious database administrator, you want to get ahead of the crowd and expand your knowledge. The best way to do that is to get certified in the technology you’re working with. This article and infographic will guide you through the most popular database administrator certifications on the market today. If you’re here, you’re passionate about working with databases, like many other IT professionals. Being a database administrator (DBA) will open up an IT field of pure engineering, with little consideration of the business side of your organization.
Are you the type of database administrator who organizes files by folder? Do you have a folder full of sorted folders? If so, then scrum is the right methodology for you. A database administrator (DBA) is an essential member of any IT team. DBAs create, maintain, and secure an organization’s database, in addition to overseeing user rights assignment, backups, querying, and database tuning. You need specialized training and technical expertise to manage the specific RDBMS setup used by your organization (to understand what an RDBMS is, read on), along with a quirk for analytical thinking.
Within organizations, Scrum promotes efficient time and process management along with better team building and leadership. In order to implement Scrum, you’ll need to follow a few simple rules. Introducing Scrum Today, we have the power to collect precise data both quickly and in vast quantities. In fact, 90% of the data available today was collected in the last two years alone. The rise of big data has greatly increased demand for data scientists, but the profession is one where few candidates possess the right skills.
Not all queries are alike, especially in terms of performance. In this article, we’ll look at how you can convert SQL subqueries to joins for improved efficiency. When should I use SQL subqueries? Great question! Unfortunately, there’s no concrete answer. SQL beginners tend to overuse subqueries. Typically, once they find that SQL construction works in one situation, they try to apply that same approach to other situations. It’s only natural.
Brush up on your data science and SQL skills with Vertabelo Academy’s interactive courses. Why Vertabelo Academy? You get instant access to lessonsthat teach various concepts of SQL, data science, and programming in R (soon also in Python!). Our courses are appropriate for people who have no prior knowledge of computer science or programming. The only requirement is a web browser. No need to install databases, download example tables, or spend time inventing exercises for yourself.
Here’s a reality check: Big Data has hit us like a speeding truck on the highway of business intelligence. In today’s digital age, we’re generating data about ourselves that were once considered private, and we’re doing it willingly! From what we eat and wear to where we are at all times, nearly everything is now public knowledge. The data generated is a potential diamond mine for everyone in business, from one-person companies to Fortune 500 A-Listers alike, all thanks to the Internet.
Working with databases can seem daunting to a non-technical person. Right away, you’re bombarded with new terms that make your head spin. Database, database instance, table, SQL and others are some of the basic terms that you need to understand just to have a normal conversation with your technical colleagues. In this article, we’ll explore some basic SQL database terminology you need to know to succeed. Imagine you’re attending a meeting with the development staff and suddenly feel as if you’re listening to white noise.
Applying for an SQL-related position? You’ll likely have to pass an interview process. But you’ll be much better prepared for the interview if you know what to expect. This article sheds some light on the recruiter’s perspective to better prepare you for your interview. SQL Knowledge and Skills There are different SQL skills that an interview can test. These include: Skills related to any specific SQL database engine (like PostgreSQL, MySQL, or Oracle).
If you’re familiar with the famous Russian nesting doll, then SQL correlated subqueries should be a peace of cake to understand—subqueries are just queries nested within queries. An SQL subquery is often called an “inner” query; the main query is usually called the “outer” query. This article covers everything you need to know about correlated subqueries. What Exactly is a SQL Correlated Subquery? A correlated SQL subquery is just a subquery that is executed many times—once for each record (row) returned by the outer (main) query.
If you’re looking to retrieve any kind of information from a database, you need to speak its language. But querying databases is an art—and it demands practice. That’s why we created our SQL practice set: a pack of SQL online practice exercises meant to help you master your skills. We spend a lot of time not only developing new courses but also speaking with our users and learning what they expect from SQL online practice exercises.
Curious about becoming a database analyst? Maybe you’ve taken some database courses at university and they really struck a chord. Or maybe you learned online. Now you’re thinking about making a career out of working with databases. Where would you start? What should you expect at each phase of your professional development? In this post, we’ll explore the challenging and exciting world of databases analysis. We’ll go from the very beginning of a career to the apex of professional success.
Learn how to use split_part in PostgreSQL to extract data from strings. Quite often, we’d like to extract parts of a string when working with text values. A common example is when we have a full name and need to retrieve only the last name. In this article, we’ll examine how to do it using split_part in PostgreSQL, i.e. a string-related function that can be used to extract a substring.
In this article, we’ll take a look at guidelines you should follow to create compelling visuals. Our goal is to learn how to effectively convey information through graphics. Have you ever looked at raw data—spreadsheets of stray numbers—and struggled to make sense of it? We’ve all been there, but it’s no surprise—because the human brain processes visualizations and images 10,000 times faster than raw data. In fact, 80% of the information we absorb comes from visuals, and the remaining 20% is text.
Excel allows business professionals to unlock the potential of their data – to a point. But when it comes to storing and manipulating large amounts of data, Excel can cause some problems. Excel has many good points. It’s often used by specialists to work with data related to their particular field. But it can come with problems, such as sluggish performance and difficult team collaboration. Even worse, Excel is vulnerable to the most dreaded problem of all: the accidental deletion of important data.
In this article, we’ll take a look at some of god-awful pie charts and hopefully learn a thing or two about good data visualization. March 14th is also known as PI Day. Mathematicians rejoice! π is a constant — the ratio of a circle’s circumference to its diameter — and it’s used in many different formulas. Baking and eating pies is super popular on this day — ’cause, you know, people just love their homophones.
Our world is bursting with data—the new digital age has dynamically inflated the volumes of data collected by businesses worldwide. By 2020, about 1.7 megabytes of new information will be created every second for every person on the planet. According to Forbes, The White House has already invested more than $200 million in big data projects. Can you imagine that? Seriously! Yet all the data that’s being generated by people, machines, online devices, and other sources doesn’t provide decision-makers with any valuable insights by itself.