People who work with data know that data grouping can sometimes be a chore. If you struggle and waste hours with Excel, OpenOffice, or some other tool trying to group various sets of data, take a look at this article and learn how to do the work much quicker and easier by using SQL. You often find yourself in a situation where you need to analyze data and present the results in a form other than the one in which the data is stored.
Want to start learning Python but struggling to find quality resources? Well, they're out there—and we'll review them here. In no particular order, here are the best online resources to learn Python. Courses 1. Vertabelo Academy Vertabelo Academy is an interactive e-learning platform that offers nine Python courses. Among them, you can find two learning paths: programming and data science. Programming path: Python Basics Part 1. This is the first of a two-part course that covers everything you need to know about Python so you can start writing your own scripts and applications.
How to Work Better and Faster with SQL Basics Data-driven marketing isn’t the future – it’s what the best marketers are using for their work right now. In this article, we give you the lowdown on an amazing marketing hack that more and more employers are demanding. Read on and find out if SQL can boost your campaigns by helping you pursue a more data-driven approach. If you’re interested in learning more, take our SQL Basics course.
Trick or treat! Halloween is coming, the festival of ghosts and monsters! At Vertabelo Academy, it’s time for paranormal sales activities and a Halloween promotion. We also have a special Halloween challenge: a haunted SQL crossword puzzle. Even if you don’t have experience in SQL, you can solve it! Halloween Promotion Halloween is coming! Many of you are probably getting ready for costume parties and deciding whether to dress up as Dracula or Lord Vader this year.
The IT field observes a massive increase in new tools, languages, and solutions each year. It's hard to keep up with all the updates and recent technology even if you're an experienced developer. As such, it’s no wonder that beginners often feel a bit lost when entering the industry. They may deliberate over where to start or what to learn in the first place. An old programming language or a current trend in technology?
SQL is not a traditional programming language in which you write a sequence of instructions in a given order of execution. Instead, SQL is a “declarative” language, which means that by writing a SQL query, you declare what data you expect as a result of the query, but you don’t indicate how to obtain it. Six Operations to Order: SELECT, FROM, WHERE, GROUP BY, HAVING, and ORDER BY By using examples, we will explain the execution order of the six most common operations or pieces in an SQL query.
In a real-world setting, you often only have a small dataset to work with. Models trained on a small number of observations tend to overfit and produce inaccurate results. Learn how to avoid overfitting and get accurate predictions even if the available data is scarce. Big data and data science are concepts often heard together. It is believed that nowadays there are large amounts of data and that data science can draw valuable insights from all these terabytes of information.
SQL is replacing Excel in many fields, and data analysis is certainly one of them. If you are still using Excel as a data analyst, you are missing something very valuable. SQL can make your life easier, as it’s more efficient and faster than Excel. So, how and from where can you learn SQL? How Can SQL Help Data Analyst? You can use SQL to help you with the following work:
Data science is hot right now. If you want to learn more about it, where should you go? Online, of course! Check out our favorite data science sites. Whether you’re a beginner or a pro, these are the sites you should know. Not so long ago, if you wanted information on a topic like data science, you had to look for it—either at your local library or at a university.
If you search “will robots take my job” in your browser, you will find a website that lists the automation risk level for each occupation within two decades. This simple website is based on Carl Benedikt Frey and Michael Osborne's research. In the report “The Future of Employment: How susceptible are jobs to computerisation?”, they examined over 700 occupations in the US, using a Gaussian process classifier to estimate the probability of automation for those jobs.
How do you get data from a table? How do you create or delete a table? How do you display distinct records? How do you select rows which store a specific value in a column? You can easily do all of this by writing basic SQL queries. This guide discusses the 30 most important SQL queries for beginners. Let’s take a look. 1. Retrieving Data From All Columns This is a very basic query to display all data from a table.
There is so much hype around the data scientist role these days that when a company needs a specialist to get some insights from data, the first idea is to look for a data scientist. But is it really the best option? Let's see how the roles of data scientists and data analysts differ and why you may want to hire an analyst before any other role. Data Scientist or Data Analyst?
You have probably heard about the concept of massive open online courses (MOOCs) in the last few years. It is an alternative to formal education and is seen by some as the way of the future. Have you taken an online interactive course? Have you tried to create one? In this article, I’ll describe my personal experience with MOOCs and how I grew from a student to a content creator.
Already know some SQL basics and want to take your PostgreSQL skills to the next level? Learn how to create, use, and manage your own functions in PostgreSQL. We’re pleased to announce the launch of our new online course: Writing User-Defined Functions in PostgreSQL. This course is aimed at people who already know some basic SQL and greatly benefits not only PostgreSQL developers and database administrators but also anyone interested in database programming (especially through PostgreSQL).
When searching for employees, employers usually look at social media profiles. LinkedIn is one of the most popular sites that employers check. We know it well at Vertabelo. That's why we’ve made it easier for our users to brag about what they've learned in our Academy. Here's a quick guide on how to do it, step by step. We will go through an example using one of our basic courses—SQL Basic.
YouTube is not just funny cats, music clips, and viral videos. It can also be a mine of knowledge – if you know where to look. Can YouTube tutorials really help you learn SQL? Let's say you're a marketer or an accountant. You work with databases every day. But when it’s time to write a query and get specific data, you need to call someone from IT. Why not learn to do it yourself?
Python is one of the fastest growing programming languages in the world. It is becoming equally popular among novice and experienced programmers and taking over rival languages such as C++ and Java. One of the biggest reasons why Python's popularity has skyrocketed is its simplicity and flexibility. Even people with no prior programming knowledge can learn Python within weeks. In fact, Python has all the characteristics to become the lingua franca of coding in the near future.
Learning is the gift that keeps on giving. Find out how you can gift an online course. So you’ve decided to gift a course but don’t know how to do it? It’s very easy! Following is an example of how to do this using our introductory course on Python. First, pick and navigate to the page with the course you’d like to gift. Click on the “Gift this course” option that is visible on the right-hand side.
How do career changes and life choices impact our future? Can we change the path that’s been set for us? And if so, where do we begin? I wouldn't blame you if you thought this article is about change. In a sense, it is—it’s in the title, after all. But for me, this article is more about what remains constant. If somebody were to ask me what hasn’t changed for me since my childhood, I would know the answer immediately: curiosity.
Why coding is a vital skill no matter where you work. In 2019, more businesses than ever before are looking to hire smart, technologically proficient candidates. As advances in technology increase, a growing number of industries are relying on computer systems and software to help manage their data and achieve their goals, making coding skills more of a necessity than it has ever been. Many people think that coding is a niche that only applies to specific tech-related jobs.
Writing queries to a database requires knowledge about SQL syntax, but this is not all you should know. Best practices for writing professional SQL code require good formatting skills. In this article I discuss why this is so important and what are the basic rules you should follow. Why is it Worthwhile to Format SQL Code? Beginner SQL programmers often don't pay much attention to formatting their code. If you think formatting is something that can be safely ignored, look at the code below:
Learning to code can be fun and absorbing but it can also be a rocky road at first. If you have a feeling that your learning process could be faster and more efficient, take a look at this list of common programming mistakes. Maybe you’re making some of them? When I first started learning to code it was a time of constant fire in my belly—I was so excited about every new issue and every new technology!
Providing various types of data in a unified way is one of the core concepts of web communication. In recent years, JSON text files have become extremely popular due to their simplicity and universality. Vertabelo Academy’s recent course—How to Read and Write JSON Files in Python—explains how to manipulate JSON files in Python. If you work with Python and want to learn a practical skill in high demand, you’re in the right place.
Do you know the feeling when you’ve read the theory behind some programming concepts but you’re at a loss when it comes to writing actual code? Vertabelo Academy’s new course—Python Data Structures in Practice—addresses this exact problem by explaining the practical aspects of basic data structures. The course discusses frequent use cases and teaches you optimal solutions to common problems. As a bonus, you’ll create a real Python game!
Are you a geek? Today being a geek means being smart and passionate about certain complicated subjects like mathematics, programming, science fiction films, and fantasy books. That sounds cool. So why not join the celebration of Geek Pride Day on May 25th? What’s a Geek? Let’s first define who can be called a geek. According to Wikipedia, this term was originally used to describe "eccentric or non-mainstream people". Today the word typically refers to an expert or a person who is passionate about some hobby or intellectual pursuit.
Excel spreadsheets are quickly becoming obsolete thanks to the emergence of the latest data analytics tools and languages such as Python, Java, R, and Microsoft HDInsight. However, a large number of companies still use digital spreadsheets, creating a lot of problems for modern business data analysts. Analyzing data through excel is a poor choice because of reasons like errors in data validation, a poor shared workbook feature, no multi-user editing, inaccurate data, and safety concerns, making it necessary for you to switch to better and advanced alternatives.
Python can help you get more insights from your data, make better-informed data-driven decisions, automate many routine activities, and increase the ROI from your marketing campaigns. Interested? Then let’s see how exactly Python can boost your marketing efforts. How Can Your Marketing Activities Benefit from Python? As a marketer, you probably face a number of challenges: Ads are getting more expensive. Previously profitable marketing channels, like content marketing, are becoming crowded.
Data analyst is a relatively new position available at several companies. It’s also a high-salary specialization without a complex learning curve. Thus, many professionals are looking to make a career switch to this burgeoning field. In this article, I’ll explain what skills you need to become a junior data analyst. We’ll also review some tips for making this career change and see what an entry-level data analyst salary looks like.
How do you visualize the results of an SQL query? You usually need to use multiple tools to achieve that. Why not use a tool that communicates with SQL directly and can perform any data analysis task? R is a data-oriented programming language that uses packages (libraries) to help you with nearly every imaginable data analysis task and more. Some of these packages allow R connect to an SQL database so you can query it and perform any desired action on the result set.
It looks like everybody in the tech world is using GitHub. Wondering if you need it too? Let’s have a brief beginner-friendly overview to see what Git and GitHub are and how you can start working with them right away. What is Git? We are going to start with defining what Git is and how you can benefit from it. Git is an open-source distributed version control system. What does this mean in simple terms?
In this article, I will cover perhaps the most important element of the SQL language. That's right! I'm talking about the SQL INNER JOIN clause. As you know, in a database the data are stored in several tables. In my last article, I covered how to create SQL queries when the data you need is in only one table. But what if the data you need is in two tables?
Freelancers are workers who, for one reason or another, decided to work independently. Flexibility and continuous training are usually what interest programmers who approach this career. You might have a lot of questions and wonder: what does it take to become a freelance software developer? In this article, we will give you some tips on how to approach this career and become a successful freelance software developer. Tips to Become a Successful Freelance Software Developer Like all jobs, freelancing comes with its pros and cons.
If you have basic knowledge about Python and are looking for an IDE to work with on your own computer, consider the Jupyter Notebook. It is a good tool, especially for Data Science projects. What is Jupyter Notebook? Jupyter Notebook is an open-source server-client application used to create and run mainly Data Science projects. Where does its name come from? JUPYTER is an acronym of Julia, Python, and R, because they were the first programming languages supported by this editor.
The PyCharm IDE is one of the most popular editors used by professional Python developers and programmers. But if you are a beginner, don’t worry, it can help you too! Find out how to create Python projects using PyCharm and what basic features can help you write code more efficiently. The PyCharm IDE is one of the most popular editors used by professional Python developers and programmers.
Python was my love at first sight. It was at the very beginning of my interest in programming when I took my first Python course, and I instantly fell in love with this language. Unfortunately, I had few opportunities to work professionally in the Python environment, but I kept learning after hours, just for fun, until my new job became too demanding and I simply had no more time for my coding hobby.
Find out why you should forget about Excel and start using SQL even if you’re not an IT expert. We’ll show you how easy it is to learn SQL, how it can make you work better, and how Vertabelo Academy makes the learning process fun. “I Don’t Deal With Data” We frequently hear the sentence above from people outside the IT industry. Well, it’s not entirely true. Data is now almost everywhere.
This tutorial will show you how to install the PyCharm IDE on your own computer–whether you have Windows or Ubuntu. To start developing with the PyCharm IDE, you need to download and install it on your computer’s operating system. PyCharm is an editor developed by the JetBrains company. As of today, it is the most popular IDE used by Python developers. Knowing this, JetBrains delivers PyCharm in three versions: Professional (full-featured IDE), Community (lightweight IDE, not full-featured), and Educational (community IDE with added education features).
Ever wondered how you can use Python to create stunning data visualizations? In the first part of this series, we saw how to draw line plots and histograms using the matplotlib library. We also saw how to change the default size of a plot and how to add titles, axes, and legends to a plot. In this article, we’ll see a few more types of plots that can be drawn using the matplot library with pro tips on how to improve them.
At some point in your Python journey, you’ll definitely need to work with dates, times, or both. Learn all the basics of date and time in Python with this short tutorial. Need to calculate how long it’s been since a given date? Working with date and time objects in Python? In this beginner’s guide, we’ll take a look at how to write programs with these two key data types in Python.
Want to know how Python is used for plotting and data visualization? Interested in learning one of the most commonly used data visualization libraries in Python? If so, you’re in the right place. In this installment of a two-part tutorial, we’ll learn how to use matplotlib, one of the most commonly used data visualization libraries in Python. Over the course of both articles, we’ll create different types of graphs, including:
Even if you’re just starting your Python journey, you’ve most likely come across Python sets. But do you know how to use them effectively? This article aims to cover all the main Python set operations to give you a better feel for when and how to use this important data structure. What Are Python Sets? First, let’s start with the basics. A set is a built-in type in Python that has a number of important characteristics:
Python is one of the most frequently used programming languages for financial data analysis, with plenty of useful libraries and built-in functionality. In this article, you’ll see how Python’s machine learning libraries can be used for customer churn prediction. Customer churn is a financial term that refers to the loss of a client or customer—that is, when a customer ceases to interact with a company or business. Similarly, the churn rate is the rate at which customers or clients are leaving a company within a specific period of time.
Learn how the T-SQL data manipulation language (DML) can help you control the information inside your SQL Server database. Do you work with SQL Server? Interested in learning more about the T-SQL language? Then you’re in the right place! We’re excited to introduce our new online course: How to Insert, Update, or Delete Data in MS SQL Server. In this course, you’ll learn about the data manipulation language (DML) statements in T-SQL.
You already have some foundational knowledge of Python for data science. But do you write your code efficiently? Check out these tips and tricks to supercharge your Python skills. How to Write Efficient Python Code In this article, we’ll take a look at some tricks that will help you write fast and efficient Python code. I’ll start with how to optimize code that involves the pandas library. If you want to refresh your knowledge of pandas, check out our Introduction to Python for Data Science course.
In my last article, I roughly described how standard SQL differs from T-SQL and who should learn which. Now I’d like to focus on the syntax differences and illustrate these differences with examples. If you think T-SQL is an extension implementing all the features from standard SQL, you aren’t right. However, in SQL Server you will find almost all the features of the SQL standard. In this article you will find examples of some of the differences in syntax between standard SQL and Transact-SQL.
Another Python course is now available on Vertabelo Academy. “How to Read and Write CSV Files in Python” is an online course for anyone interested in working with files in Python—a must-have skill for any beginner software developer or data scientist! After the great success of our SQL courses, we began working hard on the Python learning path. So far, we’ve made five Python courses available, and we’re proud to announce the release of yet another one: How to Read and Write CSV Files in Python!
How can Python’s pandas library be used to analyze time series data? Let’s find out. The pandas library is frequently used to import, manage, and analyze datasets in a variety of formats. In this article, we’ll use it to analyze Microsoft’s stock prices for previous years. We’ll also see how to perform basic tasks, such as time resampling and time shifting, with pandas. What is Time Series Data? Time series data contains values dependent on some sort of time unit.
It’s sometimes hard to understand what IT people are talking about because of all the technical terms they throw around. So I compiled this little dictionary of IT terms for beginners! It may seem silly, but communication problems are all too common in IT teams. Programmers and other computer science professionals use a technical language of their own that may not be too accessible to non-technical people. But effective communication is one of the keys to survival in the industry, so it’s definitely worth understanding what those terms mean so you’re on the same page as everyone else.
One of the most popular Python IDEs is Spyder, which stands for Scientific PYthon Development EnviRonment. This Python tool is “designed by and for scientists, engineers and data analysts.” But it’s not just for professionals. In this article, we’ll learn why the Spyder IDE is also an excellent tool for beginners. In this article, I’ll: Show you how to install Spyder on Windows and Linux. Guide you in starting a project and creating your first Python script.
Regression analysis is one of the most fundamental tasks in data-oriented industries. In simple words, it involves finding a relationship between independent and dependent variables (attributes) in a given dataset. Consider the example of a house price prediction problem—given the size and number of bedrooms, we want to predict the price of a house. This is a simple regression problem where the size of the house and the number of bedrooms are the independent variables and the price of the house is the dependent variable.