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.
If you’re looking for an online course to improve your SQL skills for Microsoft SQL Server or simply want to pass the Microsoft SQL certification, you’re in the right place. Vertabelo Academy’s new course—GROUP BY Extensions in MS SQL Server—is a perfect way to learn how to create advanced reports or facilitate ETL processes. At Vertabelo Academy, you’ll find lots of general SQL courses that’ll teach you to work with any relational database.
So you want to learn SQL and decided to learn with Vertabelo Academy? That's great! This article show you the sequence in which to take the courses in order of increasing difficulty. Courses Teaching Standard SQL (ANSI) If you plan to begin learning SQL and would like to become a professional, your first step is to complete the SQL Basics course. This is the fundamental course that will provide a smooth introduction to the world of relational databases by learning about tables.
Level: Advanced Most commonly, the SQL queries we run on a database are quite simple. Well, that depends on your role, of course. Analysts in data warehouses retrieve completely different sorts of information using (very often) much more complicated queries than software engineers creating CRUD applications. However, sometimes it’s simpler or more elegant to run a query that is a little bit more sophisticated without needing further data processing in the code.
If you are beginning to learn SQL and are confused by the differences between SQL and other similar languages like T-SQL, this article will help make things clear. You will also find explanations concerning which topics would be better to start learning first: general SQL or something more specific like MS SQL Server. What is SQL? SQL (Structured Query Language) is a basic ANSI/ISO standard programming language designed to operate on data stored in relational databases.
You’ve spent hours studying Python, and you may even have several successful projects in your portfolio. But do you write your Python code like a pro? Let’s review some important guidelines to help you clean up your code. What Is the Pythonic Way of Writing Code? There are often several ways to do something in Python; naturally, some are better than others. But you should always prefer code that is not only syntactically correct but also in alignment with coding best practices and the way the language ought to be used.
Online Python courses help you acquire basic knowledge of working with Python. But how do you retain what you’ve learned and start writing Python code on your own? Nowadays, there are plenty of e-learning platforms for programming languages like Python. With these platforms, you can learn the fundamentals of the Python language: syntax, basic functions, and programming best practices. On platforms like Vertabelo Academy, for example, you don’t need others tools to work through the content and can get your hands dirty with a language in a sandbox environment.
Do you think learning SQL will help you in your career? You are right. SQL is one of the easiest computer languages to learn. These days many non-IT employees have SQL skills and use them to extend their professional capacity. Moreover, more and more companies are encouraging their employees in non-IT areas (like sales, advertising, and finances) to learn and use SQL. One of the benefits of empowering employees with SQL skills is that once you answer one data question, the results will generate a new data question, and then perhaps a cascade of further data questions.
Each year, I try to arrange some kind of birthday surprise that’ll exceed my husband’s expectations. This year, I’ve got an excellent idea—I’m going to organize a ski trip for us and a few friends with the help of R and the apply family of functions! Overview My husband’s loved snowboarding ever since he learned it in college, and he’s always wanted to find some time to visit our local mountains in the winter.
Do you think it's possible to determine what a text document is about? Read on to see how we can use R to programmatically identify the main topics of several South Park seasons and episodes! In the second article of the series, I showed you how to use R to analyze the differences between South Park characters. I assumed that Eric Cartman is the naughtiest character in the show and tested this hypothesis with real data–check it out to see my conclusion if you haven't already.
-- -- -- -- We did it again! Each year, we review all SQL courses and tutorials on the market to help you find the best online resources to learn SQL. Find out which SQL courses are worth a try! But let's get to the point and take a closer look at some of the best online resources that can help beginners get started with SQL.
Ever wondered what daily life in a tech company looks like but had no one to ask? Let’s take a look at a day on the IT team from the inside. All programmers wear plaid shirts and thick glasses, eat junk food, sleep during the day, stay awake all night, and spend their time in dark basements where the only light comes from a few monitors displaying tons of unintelligible code.
If you have just started learning Python, now is a great time to develop your skills further. Nowadays it is not problem to find resources about Python on the internet, however, it can be difficult to find good materials to read for beginners. Therefore I decided to gather and share with you my “Lucky thirteen” articles on Python written in 2018. Top 3 Vertabelo Academy Python Articles for Beginners The Vertabelo Academy is an online learning platform that delivers courses on SQL, data science, and Python.
Thinking about using Microsoft SQL Server? If so, you’re in the right place. In this article, we’ll look at the Microsoft SQL Server platform and go over its pros and cons. We’ll also evaluate the platform from both a company’s and a data specialist’s perspective. What Is Microsoft SQL Server? In technical terms, Microsoft SQL Server is a relational database management system (RDBMS) developed by Microsoft. Essentially, it’s software that allows you to store, change, and manage relational data effectively.
Looking for some advice to build a data science portfolio that will put you ahead of other aspiring data scientists? Don’t miss these useful tips. Why Have a Portfolio at All? Even though the demand for data scientists is high, the competition for entry-level positions in this field is tough. It should come as no surprise that companies prefer to hire people with at least some real-world experience in data science.
When you already have some experience with Python, building your own portfolio of data science projects is the best way to showcase your skills to potential employers. But where do you begin with developing your very first Python project? First, Why Develop a Data Science Project? There are a number of career development benefits to creating your own data science project in a language such as Python: Studying.
Python is a simple yet powerful programming language that’s a must for beginners and advanced programmers alike. Here’s why. High-level programming languages have one goal in mind: to make your life as a programmer easier. Messy syntax and obscure keywords? Forget about it. With languages like Python, you can get away with understanding just the basics of programming, enough to begin writing your own scripts and apps. And since Python developers are high in demand, Python is a great language to learn if you want to pursue a career in software development or big data.
There I was—at Nvidia Deep learning & AI, the most prestigious deep learning event, waiting for my hands-on training to begin. It felt great to be there! But as I waited for things to start, observing the others who sat around me, I realized something: most of the attendants were men! In a crowded hall where around 200 people were waiting for a lecture, less than 10% were women. Where were the rest, and why was I one of the few female representatives who attended this conference?
Knowing how to improve SQL query performance is an important skill, especially when working with with large databases. In this article, you’ll learn how to write more efficient SQL queries to get results faster. The biggest difference between SQL and other languages is that SQL is a non-procedural language. In a non-procedural language you specify the results that you need but not the methods used to get it. The advantage of a non-procedural language is that it is easier to write programs, therefore it is common for non-programmer business users to generate reports from SQL queries.
Looking for a data science job? Then you’ve probably noticed that most positions require applicants to have some level of Python programming skills. But how are they going to test this? What are they going to ask? Let’s prepare you for some interview questions! Why Do Data Scientists Need Python? Data science goes beyond simple data analysis and requires that you be able to work with more advanced tools. Thus, if you work with big data and need to perform complex computations or create aesthetically pleasing and interactive plots, Python is one of the most efficient solutions out there.
So, you’ve finally landed your first technical job? Congrats! But you go to the office and find that there are millions of things to memorize, tons of command-line magic to perform, and strange jargon being thrown around among your team members that you simply can’t keep up with… How do you manage all of this without going crazy? Of course, your hard skills count the most, but you’ll need more than that to be really good at what you’ll be doing.
In this comprehensive beginner’s guide, we’ll look at how to install Python on three major operating systems, choose a Python IDE, and run your code. Would you like to start coding in Python but don’t know where to begin? Maybe you’ve graduated from an online course like Python Basics and now are looking to continue your Python adventure on your own machine. But first, why Python? The answer is simple: Python is a very easy-to-learn and powerful programming language.
An increasing number of fintech companies are using Python for data analysis. But what makes Python so special? And why is it a better language for data analysis compared to traditional software? Python is quickly becoming the most popular coding language in the world. Currently, it’s perching comfortably in the fourth spot after Java, C, and C++ on the Tiobe Index of Language Popularity. And the Popularity of Programming Language Index ranks Python as the most popular programming language in the world in October 2018.
Installing database software like PostgreSQL, Oracle, or SQL Server can seem like a complicated task, but it really isn’t! These days, most relational database management systems come with installation wizards that make the process much simpler. In this article, we’ll look at how to install PostgreSQL and test that the installation is working. Overview: PostgreSQL Installation Steps We’ll complete the following tasks: Downloading the PostgreSQL package. Installing and configuring PostgreSQL.
Being data-driven is a must for companies these days. If you think differently, you might as well pack it in now. Here’s why. Companies are always trying to outdistance each other, winning more clients and gaining the most profit. They burn a lot of time in building strategies and working on tactics, but their actions may not bring the expected results. Why not? Because they don’t start with data.
Who do you think is the naughtiest character in South Park? You’ll know the answer by the end of this article—and I’m sure you’ll be surprised! In the previous article of this series, I showed you how to use R to analyze South Park dialog. We mostly focused on the show overall. This time, I’ll take a closer look at the most famous South Park characters. We’ll see how much they talk and how their sentiments change across the show.
Python is a programming language frequently used by scientists and data analysts to build applications. Why? Because it’s easy to use and has few rules. But simply installing Python isn’t enough—you also need a good interactive development environment (IDE) to program in. So what are the best Python IDEs for data science? Let’s find out! (Note: all IDEs presented here support Windows, macOS, and Linux.) 1. Enthought Canopy Enthought Canopy is one of the best Python IDEs for scientists and engineers.
Halloween is not only the spookiest day of the year but also a great opportunity for some good old-fashioned pranking! We’re self-proclaimed pranksters, true, but this time you’re lucky. We’re out for a party, so you won’t be getting tricked today—sorry to disappoint 🙂 In any case, we hope to see you next time you decide to learn data science. Have a happy Halloween!
Buy courses individually or in packs! Find out what courses are in each course bundle and learn the skills you need. For the first time in the history of Vertabelo Academy, you can get them with 70% discount! At Vertabelo Academy, you can buy courses individually or in bundles. Bundles, to put it simply, are packs of courses that teach you one technology (e.g., SQL) or one particular topic (e.
How much SQL do you know? Test your knowledge with this spooky crossword to find out! Contest Rules Downloadthe Vertabelo Academy SQL crossword. Solve tasks and unlock the secret solution. Send your answerto email@example.com before 👉 November 1, 2018. Wait for the prize to be drawn and, if you’re lucky, win a course 💜 One lucky winner will be drawn among the users who send us the correct solution, and they’ll be contacted by email within 7 days of the contest closing.
Heat maps are a great way to visualize patterns in data, but some businesses avoid them because creating them seems challenging and time consuming. Well, it’s not. Do you know what the most popular programming language currently is? According to the PYPL Index, it’s—you guessed it—Python. And our serpentine friend was also crowned the best programming language in 2018 by Linux Journal readers. Why all the buzz? Because Python is simple and easy to learn.
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, we’ll help you install SQL Server on the Windows operating system together with SQL Management Studio. How to Install SQL Server 2017 We’ll install SQL Server 2017 in this guide. You can download it for Windows and Linux, but you can’t install Microsoft SQL Management Studio on Linux at the moment, so we recommend you stick to Windows.
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 firstname.lastname@example.org 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?