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?
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.
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.
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.
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).
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.
We recently published a story from a Vertabelo Academy user who found her love thanks to SQL. On a similar note, I asked my colleagues to bring back old memories of writing their very first scripts. And yes, love is involved. Here at Vertabelo Academy, we’ve got some real OG programmers and data scientists making great content. They fell in love with data way before it was cool—and easy. So today, we’re jumping back in time to see what it was like to learn SQL before the Internet and Vertabelo Academy courses existed.
SQL is an extremely desirable skill for anyone in today’s market—not just those in the IT sector. It’s becoming increasingly common for employers to require at least a basic knowledge of SQL in professions related to finance, statistics, banking, and business analytics. In this article, we will focus on the SQL interview questions one can expect during an interview for a business analyst (BA) position. What is a Business Analyst?
Nowadays, data are gathered from a variety of sources, and information is of great value to organizations. However, with an increasing amount of data comes the need for databases that can store information for retrieval and analysis by trained specialists. Thus, proper data analysis is in high demand in our digital world. Relational databases, which logically group information into chunks, are basically used to store and organize large amounts of data.
A career in data science is hot right now. What is a data scientist, and how can you become one? Very few of us said “I want to grow up to be a data scientist” when we were kids. But now, in the age of Big Data and economic uncertainty, a career in data science is looking mighty attractive. If you like the idea of working with information and earning a good paycheck, read on.
Earth’s 7.5 billion people together use several billion different devices, generating an annual global IP traffic of more than one zettabyte. Out of these impressive numbers rises a new field above the others — “data science”. Is data science an inevitable reality, or will it yet be dismissed as just another “wave of the future” that never came to be? A few days ago I signed a new employment contract with my company.
IT provides a wide and growing job market, offering many excellent opportunities in both career development and earning potential. Today we’ll take a look at several very interesting SQL/Database-related jobs. Every year, many in the work force set their sights and aim for new and better jobs. When it comes to jobs, “better” means different things to different people, but earning potential is almost always a top priority. Enter the growing field of IT, in which new challenges wait around every corner!
Isn’t data science way too advanced for simple SQL? Nope! SQL can help you build a foundation for your data science career. Let’s see how. Data science is hot right now. What if you could predict the next market crash? Or contain the spread of Ebola? Or accurately predict a health crisis months or even years before it happens? Data scientists are working hard on these kinds of projects, and they are earning healthy salaries in the process.
Congratulations! Your SQL skills were strong enough to get you that job interview! Now, if you only knew what SQL questions and practical exercises a recruiter might ask you to do… In this article, we help you prepare for the SQL and database aspects of a job interview. In a previous article, I explained how can you boost your career by learning SQL. It opens up opportunities in and out of IT, as this query language is used practically everywhere.
The tech sector is experiencing strong job growth. Should SQL be on your list of must-have skills? If you’re even remotely interested in finding a new job, you’ve probably noticed that IT jobs are hot. Not only are a lot of these jobs available, they offer some pretty great opportunities to challenge yourself, grow, and build new skills. And the compensation tends to be pretty awesome too. In today’s world, technology is evolving at an almost daily pace, and this is producing a flood of data that has to be managed.