Big Data has become a common term in the marketing and IT world in recent years. By making good use of Big Data, you can obtain important information and insights that can help your company improve its marketing strategy. One tool that many companies use for this purpose is Google Analytics. Always wanted to know how Google Analytics exactly works and what you can do with it? Below the 5 reports that you can find in the program are explained in outline!
The 5 (main) reports that Google Analytics displays:
The 5 main reports that Google Analytics gives you, consist of many small sub reports where you can find much more information than we have described above. Conclusion: by making use of Google Analytics you can optimise your business strategy!
Are you curious about Google Analytics after reading this blog and would you like to learn more about it? Then click here for more information about our one-day training Google Analytics Basics. Are you already familiar with Google Analytics but do you want to know how you can get more out of the program? Then check out our one-day Google Analytics Professional training by here Click here for more information.Link
More and more devices are becoming connected to each other and to the internet. Think of the 'smart' thermostat in your home, the alarm clock in your bedroom or perhaps your Google Home speaker. Research has shown that by 2020 more than 26 billion devices will be connected to the internet. The connections between all these devices is called the 'Internet of Things'.
What is the Internet of Things?
In short, the Internet of Things consists of all devices that are connected to the internet. These devices are able to communicate with the internet and with each other, and they can also send data to the 'cloud' without human intervention. This automation saves costs and reduces the physical effort required of people. This of course sounds fantastic, but on the other hand people also criticize the Internet of Things. Some people are afraid that technology will eventually take over the world, others point out the possible problems with privacy.
Advantages of the Internet of Things
The Internet of Things has several advantages, these are the three most important ones:
Disadvantages of the Internet of Things
In addition to the many advantages that the Internet of Things offers, there are also a number of objections:
Using the Internet of Things for your own organisation?
The Internet of Things offers many opportunities for organisations, but also a number of challenges. To ensure that your organisation can get off to a flying start by deploying the Internet of Things, Learnit offers an 'Internet of Things' training. During this 2-day training you learn all about the terminology, application possibilities, but also about the security surrounding the Internet of Things. Click here for more information about the training.Link
In the meantime, it is slowly becoming clear that we will mostly be working from home until at least mid-2021. This means that for the coming year a lot of online work activities will be planned. How can you best prepare yourself and your organisation for an online 2021? In this blog we will explain which training courses are the perfect fit for online work!
1. Search engine optimization (SEO). How do you ensure that you attract as many visitors as possible to your website? Search engine optimisation, also known as SEO, is the solution! Learnit offers a course in which not only the basic principles of search engine optimisation are shared with you, but in which you also work on your practical skills. For example, learn how to analyse and optimise your own website. This way, you can get the most out of your website and web traffic in 2021!
2. Online marketing. Developments on the Internet take place at a rapid pace. Online marketing is a theme that played an important role for many organizations last year, and it is expected that online marketing may play an even bigger role in 2021. Can your organization still learn a thing or two when it comes to online marketing? Then check out our new 7-day online marketing course. During this comprehensive course you will learn all the skills necessary to put your organization firmly on the (online) map. Topics that are covered during this course are: search engine optimization, Google Ads, Google Analytics, Facebook advertising, e-commerce, social media marketing and content marketing.
3. Power BI Basics. Now that we do not see or talk to each other physically anymore it can be difficult to communicate certain information to colleagues. Think about financial reports for example. For this kind of information it can be useful to use a visualization tool that allows you to easily show colleagues what is going on. One of the most popular visualisation tools is Power BI. Learnit offers a 2-day course Power BI, in which you learn to create effective management reports using your Excel data. In this way, you can use Power BI to create an interactive management dashboard, in which you can easily visualise and share data with your colleagues. Ideal for transferring information!
4. Agile Scrum Basics. Scrum is nothing else than an Agile framework, which stands for more effective and flexible work. The Agile way of working allows for working in self-managing teams, which is extremely useful for planning more complex projects. The focus of Scrum is on the communication within these projects, but also on the interaction between departments and towards customers. Now that online working is the order of the day, you see that many companies use this structured way of (online) working. Are you curious if working according to this style is something for your organisation? Then take a look at our Agile Scrum Basic training. During this training you will not only learn the theory around this method, also the skills that are involved play an important role. Did you know there is the possibility to take an official exam after the course, after which you can call yourself Scrum Master or Scrum Product Owner? Click on the training course or inquire about the possibilities.Link
If you have worked with Python before, the name Django might sound familiar to you. Django is the largest open source web framework written in Python. This framework is relatively easy to use, flexible and also very reliable for e.g. application development. This has made Django one of the most popular frameworks for creating web applications, websites and online platforms, among others. Read this blog to find out what you can use Django for.
Django was developed in 2003 by Adrian Holovaty and Simon Willison and the framework was first released as an open source project in 2005. Three years later, the Django Software Foundation was established to continue the development of Django. Meanwhile, Django has become an extremely popular framework in combination with Python. Did you know that even Google uses this framework? Even popular social media channels like Instagram and Pinterest use Django for their websites and applications!
What is Django?
In short, Django consists of a set of libraries that allow you as a programmer to build a web application relatively quickly and easily. You can think of functions such as: storing data in a relational database, sending e-mails and generating web pages. Django also features a handy admin interface. For instance, a programmer who uses Django can use the built-in admin interface to allow the administrator of a system to easily modify or edit data. This is ideal for allowing someone besides the programmer to make changes to the system. Other strengths of the Django framework in support include authentication, templates for forms and file uploading. Due to the development of numerous packages and its mature ecosystem, the Django community is continuously improving it. Are you curious about which packages are available on the market? Take a look at djangopackages.org. One important element of Django has already been mentioned, but deserves to be emphasized again. Django uses Python: the best and easiest programming language in the world so you can quickly make a good web application or site.
What can you do with Django?
Django is ideally suited for setting up:
Did you know that Learnit will soon offer a free webinar about Django? In this half hour webinar, trainer André will tell you everything you can do with Django, and why Django is so easy to use. Moreover, receive some practical tips about programming in Django. Sign up for this free webinar now, by here clicking here. Learnit also offers a Django programming training, aimed at developers who would like to learn to use the Django framework to develop web applications in Python. Interested in this training? Then click here for more information.Link
Big data is a term that seems to be becoming more common in the business world. Multinationals and larger companies in particular seem to be using big data a lot. But when exactly do we talk about big data? And can big data also be meaningful for your business? In this blog we will address 5 common questions about big data.
1. What is big data?
We speak of big data when the data meets three different conditions: it is data that is generated in large quantities (Volume), at a high speed (Velocity) and the data must be diverse (Variety). In other words, the data must satisfy the three V's. In case you are wondering what a 'big' amount of data is: we are talking about data volumes expressed in exabytes. This means that when we talk about 1 exabyte, we are talking about the number 1 with 18 zeros.
2. Where does big data come from?
Big data can be generated from various channels. This includes data from social media channels, transactional data from the business world, but also, for example, data from machines. In short, big data is everywhere. You can actually see it as a collection of information.
3. What is the difference between structured and unstructured data?
When we talk about data, we can distinguish between two different types of data. Structured data is data that is easy to work with, data that already has some kind of structure: think of a company's customer database. This often contains data such as name, age and gender, neatly sorted into different columns. However, we are often dealing with unstructured data. Think of social media data like a Twitter or Facebook message. This data is much more difficult to analyze because there is no standard format for such data, there is no fixed structure in a Facebook message.
4. Is big data only used by 'big' companies?
Big data is as big as your business is. Relatively large companies will obviously have a larger data stream and thus need more data tools than smaller companies. This does not mean that collecting (big) data does not make sense for smaller companies. Why you should start collecting big data today? Collecting data can have multiple reasons, but the most important ones are to optimize your company's profitability and customer satisfaction. We probably don't need to explain that such things are important for every business.
5. How can I work with (big) data myself?
Although data is being used more and more and there are more and more data (visualization) tools available, it is still difficult to work with data yourself if you are not familiar with the IT world. It can therefore be useful to start with a course. Learnit offers various courses to help you understand the possibilities of big data or to teach you how to work with data. Take a look at our courses Big data, Google Analytics Basic or SQL Basics.Link
Are you interested in IT? Then you may have seen the term Structured Query Language (SQL) before. After more than 40 years, SQL is still one of the most popular programming languages. Especially when you are just starting out in the IT world, the use of SQL is a godsend. SQL can best be described as a language that allows you to extract desired information from a database. But why is SQL so popular? After reading this blog, you will know why SQL is used by many people in the IT world!
Nowadays there are many companies that collect data and from that data companies can then filter the desired data. But how exactly do you obtain this data? For this, you need a programming language such as SQL. SQL can be seen as a language used to communicate with your own (relational) database. By means of various commands, you are able to filter, modify or delete data from a database as you see fit. For example, do you only want to retrieve the data of men from your database? With the command 'WHERE' you can retrieve these data. Do you want to sort the data in your database by last name? Then the command 'ORDER BY' is useful!
Learnit offers the possibility to follow a short introduction webinar SQL, in which a number of important 'commands' are discussed and explained. Are you interested in learning this programming language? Then please subscribe to now for our free webinar SQL, more current than ever! In addition, we also offer the possibility to follow a basic SQL course at various training locations. Curious about our two-day SQL basics course? Then click Click here. Are you already familiar with SQL and would you like to learn more about this programming language? Then our course SQL Advanced course is just what you need!
These are three practical examples where SQL can come in handy if you work in the IT world:
Everyone makes use of it: websites where you can compare different products or services with each other. Do you want to book a hotel? Click on the arrival date and fill in the destination on a site like expedia.nl that compares different hotels and prices of providers. Looking for new sneakers? Type in sneakers on beslist.nl and enter for example what size you have and what color sneakers you are looking for. This way you will be able to find your perfect sneakers. Handy right? The technique that makes it possible to search this fast is webscraping.
Webscraping allows people to retrieve important data from a site or allows them to search for certain features on a website. Optionally, data can be retrieved or stored automatically and periodically. Website administrators can use various programming languages to enable webscraping, including Python. The 'Beautiful Soup' module is very useful for webscraping, and 'numphy' and 'pandas' make analysis a lot easier. Webscraping ensures that visitors to, for example, a comparison website can easily and quickly find the information they need. This makes it handy for websites such as expedia.nl, which actually just make smart use of the data from other websites. Websites like expedia.nl attract customers because they are able to bundle and display data from other websites in a smart way.
Are you interested in webscraping and would you like to follow a short introduction to webinar about it? Then please here on for the free webinar Webscraping with Python, which takes place on Wednesday 23 September. Are you interested in other data analyses in Python besides webscraping? If so, please write here for our 3-day Python data analysis course. During this course you will learn how data can lead to useful insights and you will also learn how to display data in the best way. In addition, you will learn how to explain and predict the behaviour of your target group using Python. As a result, you will be better able to steer your business strategy in a targeted manner using insights gained from data analysis.
The most important advantages of webscraping at a glance:
In short: webscraping is useful for anyone who wants to learn how to get the most out of processing data from your own website!