W3Schools is regarded as the leading web development platform with a high page visit. Over the decades, this platform has provided learning opportunities through the constant development of its services. The number of page visits is simultaneously growing every year due to the delightful learning experience with their bite-sized tutorials. The code examples and illustrations are uncomplicated and help a novice learn by himself starting from the fundamentals. These free developer resources offer Data Analytics tutorials compiled most simply and interactively to teach you from scratch. This article is tailored to tell you about W3Schools Data Analytics at length and some other exposures of the course.
What is Data Analytics?
Data Analytics is the process of converting raw data into meaningful insights. Such insights are implemented to improve business processes, shape decision-making, and foster the overall performance of the business.
The outcome of Data Analytics tells us about the current trends and patterns; and solves complex problems with informed business strategy.
Analyzing raw data is performed through a detailed mechanical process, techniques, and algorithms. Any type of data can be used for the purpose of human consumption. The metrics and trends that the analysis reveals would be otherwise lost in the unused data.
Types of Data Analytics:
The whole process of data analytics helps us understand the current situation, how the company reached there, and the future trajectory of the company’s performance.
As an expert data analyst, you leverage all of the analytics methods and consider the overall aspects of current and future scenarios.
You may require following different analytical processes in sequential order or opting for one or two particular types according to your goal. Data Analytics can be broadly divided into the following types:
- Descriptive analytics: This is the simplest type of data analytics where you build the foundation to carry on the next level of analytics. This succinctly pulls out the current trends and describes what is happening. You would follow this type of analytics if searching for an answer to what has happened. To express the result of the analytics in an understandable way, data visualization is the best way. It clearly shows the result through maps, charts, graphs, etc.
- Diagnostic analytics: To answer why something had happened, this type of data analytics compares the trends uncovers correlations between variables, and determines relationships between them. This analytic method brings out the root cause of all organizational issues.
- Predictive analytics: Making future decisions is the most beneficial aspect of data analytics and this analytic method answers that essential question. By predicting future events and trends, it tells us what may happen in the future. This future prediction helps to formulate an informed strategy for business.
- Prescriptive analytics: After going through the above three layers of analytics, the role of this analytics is to account for all possible factors in the likely scenario and suggest some actionable takeaways. This is highly used in forming data-driven decisions with the help of mathematical equations. Machine learning algorithms help us to parse through large data sets.
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What is W3Schools?
This is an educational website to teach coding for free. The premium courses here are completely free of cost for everyone, and that gives it the title of a ‘freemium’ (Free+Premium) institute. The name of the institute W3 is inspired by the World Wide Web; however, it is not part of the W3 Consortium.
Most of the fundamental qualities of web development are taught here through structured tutorials. You can access examples and examination of source code in an interactive platform.
You can even edit them in the live editor whereas other code elements remain hidden for your focused study. Each of the tutorials is divided into chapters for a systematic understanding of the lessons.
You will also be able to access references of the programming language along with the basic implementation of them. Besides the website, W3Schools also has a YouTube channel and internet forum for further learning.
Apart from the various dedicated educational platforms, W3Schools is known for free HTML template publishing which is run by Refsnes Data. You can edit online texts with TryIt Editor in a test environment.
W3Schools Data Analytics:
The self-paced W3Schools Data Analytics is an 80-hour-long Bootcamp. This is the perfect Data Analytics Course to lay the foundation of your programming knowledge and skills.
Each of the most demanding programming languages is included in this concise course. The text-based modules, practical examples, interactive classes, and practice exercises will assist you in building your foundational concepts of various programming languages.
The completion of the W3Schools Data Analytics is marked with a certification process after the final exam. Therefore, the most exciting features are interactive tutorials together and a well-accepted certificate.
W3Schools Course covers the below-mentioned computer programming languages along with the essential concepts of data analysis and data science-
- Python- the most popular and object-oriented languages of data science.
- SQL- a highly recommendable programming language for data storage, manipulation, and data retrieving.
- NumPy- a Python library known for using arrays in Mathematics and Statistics.
- Pandas- another Python library useful in data science.
- R-a programming language that is required for graphics and statistical computing.
As you find out in the above discussion, the course’s bite-sized course contents are easy to grasp and understandable for anyone. The W3Schools Data Analytics Course is bound to increase your employability by documenting your earned skills and knowledge in the acknowledged certificates.
W3Schools Data Analytics is a completely self-paced school with no hurry, and no deadlines, and saves you money and time. These are some of the many reasons for you to choose W3Schools Data Analytics over other courses on the subject.
You may also want to know about:
- What is Data Analytics
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- Google Data Analytics Courses
- Can Data Analytics Be Self-Taught
- Data Analytics vs Statistics
- Data Analytics Course Syllabus
- Is Data Analytics a Lucrative Career Choice
Value of W3Schools Data Analytics Certificate:
You obtain 7 particular certificates before obtaining the final Certified Data Analyst Certification. The previous certificates are-
- Certified Python Developer
- SQL Developer
- Numpy Fundamentals
- Pandas Fundamentals
- R Developer
- Data Science Fundamentals
- Final Certified Data Analyst
Therefore, you are granted 7x certificates through the course. These certificates from W3Schools Data Analytics program are a great proof of your proficient skills and make your job profile stand out before employers.
The Complete Trajectory of W3Schools Data Analytics Course:
As a novice in data analysis understanding, you may be wondering about the learning journey of the W3Schools Data Analytics course.
This course is set to educate you about computer programming for the task of data process, analysis, data storage, and visualization. With their comprehensive training, great developers have been facilitated for over 20 years worldwide.
So, here is a detailed discussion of the delightful learning process that you will experience in due course.
Enrolling in this beautifully crafted data analytics course is one of the finest decisions for data enthusiasts. None of their promises turn out fake at the end of the course. So, you will gain access to the W3Schools Data Analytics course after paying a fee. You will be exempted from any deadline issues for the exam and can continue it at your own pace. All the questions of the exam are based on the course content.
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2) Complete the modules thoroughly
There are various modules concerning different topics of the course and exercises to test your understanding of them. You will progress the course with practical and interactive examples of the lesson. After completing the learning module of the level, you can unlock the final exam.
3) Appear for exams
After completing the learning modules, you will attend the exam of each course. You will be informed of your performance, pass or fail remarks, and score soon after completing it. If you are not satisfied with your performance in the exam or want to upgrade your score, you can appear for another choice of exam. In this way, you can attempt the certification exam with a maximum of 3 exams.
4) Become a certified data analyst
You will receive the Certified Developer title after passing the exam. The certificates come with a sharable link with which you can validate your certification.
W3Schools Data Analytics program will document your competence in the subject matter through their industry-recognized certificate. As you clear the exams from intermediate to professional level modules, you will be awarded a Certified Developer in the respective data analytics technology.
Learn more:
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- Can Data Analytics Be Automated
- How To Start Learning Data Analytics
Technical Skills to Be Achieved as a Data Analyst:
The first step of your data analytics career is to acquire the skills you will need for this job role. Here the technical skills are discussed below-
- Database tools
Data analytics is a tool-based job and you need to excel for this career path. In any data analyst’s toolbox, Microsoft Excel and SQL are the mainstays. Experts consider both these tools as the most necessary for handling large data sets.
- Learning Programming languages
Computer programming languages make data analytics tasks smooth and less time-consuming. Statistical languages like Python and R help in performing complex equations. These are the most common tools for data analytics. You should look for the required programming languages in your dream job position to cultivate skills on the same line.
- Data visualization expertise
For a successful data analyst, conducting the data analysis process is as important as the visual representation of the final result. This visualization is what you will share with the members of your business or company and explain them as easily fathomable. Jupyter Notebook, Tableau, and Microsoft Excel will help you to create data visualization through maps, charts, and graphs.
- Statistical and mathematical concepts building
A solid grasp of data science-centric mathematical and statistical concepts will keep you ahead in job competition. This will help you tremendously in understanding the proper utility of data analytics tools for specific tasks. You will be capable of catching errors in your data and solving a particular problem for the best outcome.
Workplace Skills Required in a Data Analyst:
Whereas Data Analytics courses will focus on the technical skills to inculcate in their students, soft skills or workplace skills are to be developed with their effort.
These are the set of skills that will make you stand ahead in your workplace and earn you a highlighted reputation, career advancement, and success.
So, never ignore imbibing these important skills if you want a long-term career in this field. You should always keep yourself updated with the new developments in data analytics.
- Problem-solving
For our day-to-day job life, theoretical or bookish knowledge won’t count. What is needed is actual handling of real-life issues and bringing out the best probable solution for a complex situation.
The ability to ask questions on related issues and think out of the box about what needs to be done is much more necessary in practical situations. With the help of the data analytics tool, you will have to collect and sort out useful data from the sea of information.
After proper analysis, you will find the pattern and discover trends hidden in those data. Your critical-thinking skills help in recognizing the most suitable method of data analysis, finding gaps in your research, and keeping you focused till ending with the best solution to a problem.
- Improved communication
The task of data analytics is teamwork and good communication among the team members gives the best result. You should possess excellent written and speaking communication skills so that there is clear communication among colleagues and the stakeholders of the company.
- Practical understanding of the industry in your work
Data analytics is now incorporated in almost every industry and data analysts’ job roles vary accordingly. Healthcare, education, government, big or small businesses, and the information technology sector have now benefitted from the fruit of this.
Data analysts of a particular industry should be always on track with the current development of data analytics applications for the exact sector, keep updated with recent news, read the history of the industry development, etc. This knowledge will familiarize you with the main issues and trends of the industry you work in.
Various Roles Played by Data Analysts:
We know that the demand for Data Analytics is ever-rising. Studies show that from 2021 to 2031, the demand for skilled data analysts rose 36 %. This is one of the highest-growing jobs in the US and around the world. There is no bar of high salary and other benefits for proficient data analysts.
The responsible job of a data analyst enhances business operation, performance, and efficiency in numerous industries. The implementation of data analytics surely provides businesses and companies with a competitive edge. The task of data analysts is discussed in brief here-
- Data gathering
This step involves data collection or gathering of information from a wide spectrum of sources. Therefore, various forms of data are recreated here in a singular format for further analysis and interpretation. This is a time-taking process and builds the ground for the coming steps.
- Data management
To manage the sea of information, we require a database that contains the data. To create this database, some data analyst prefers Microsoft Excel spreadsheets. However, Excel is a basic tool for data science and does not provide advanced features for the purpose.
So, a better option for data storage and management is a relational database. This will allow you to store a greater volume of data with efficient access to them.
There are tables in the relational structure for our easy operation. Structured Query Language or SQL is a popular computer programming language used to work on the same job. Since 1971, SQL has been highly regarded by data specialists for easy interaction of data, analysis, and query.
- Statistical analysis of data
This is the third step in the data analysis process. This step focuses on the interpretation of the stored data and transforms them into models. The models are easy to understand trends which are further used in future data interpretation and decision-making.
Open source programming languages, such as, Python help us to achieve this process. Another data analytics tool R is also used in such graphical modeling or statistical analysis.
- Presenting the result
In the final step of data analysis, we present the result in an easily understandable format and share it with the stakeholders of the company or business. Data is formatted to make them accessible to others. The data visualization format helps people to use the result for easy operation of the business and improve its growth and efficiency.
Computing Techniques Used in Data Analytics:
Technical evolution has rapidly been incorporated into data analytics techniques in addition to statistical and mathematical approaches.
A broad range of software tools are used by data analysts in terms of data acquisition, data storage, processing, and report making. Excel is a very common tool for data analytics with its ties to spreadsheets. There are programming languages to manipulate databases.
Some of the common computing techniques are-
- Natural Language Processing
Data analysts use this technology to make computers understand and simultaneously respond to spoken and written language. Natural Language Processing is used in processing data such as dictated notes, chat messages, and voice commands.
This is an important data analytics technique to identify trends and patterns in text data which are tweets, emails, and blog posts. The output helps us to sort news content, client emails, and customer feedback.
- Sensor Data Analysis
This way we can examine data generated from various sensors. This is very useful in predictive machine maintenance, tracking shipment, and other machine-related business.
- Outlier analysis
Anomaly detection or outliner analysis is useful in identifying the deviating data points and events from the rest of the data.
Frequently Asked Questions:
1) Which information can be revealed through the Data Analytics process?
Data analytics help us reveal customer preferences, popular pages, the length of browsing, their feedback, and outputs in the website forms. Such results assist in better responding to customers’ demands and satisfaction. Various sources of data collection for data analytics are-
- Social media inputs
- Application statistics
- Third-party customer surveys
- Computer cookies
- Customer Purchase logs
2) What is a data lake?
A data lake is data storage without any processing. It stores both structured and unstructured data for future analysis. The structure of the data which is called schema is not defined at the time of capture, thus we can store any type of data, preferably useful ones, here. We can collect such data from IoT devices, social media content, non-relational data, etc.
3) Can data analytics be automated?
Automated data analytics is the use of computer systems for all sorts of analytical tasks without human intervention. Such mechanisms are lines of code or various data analytics tools for the purpose of data modeling, visual representation, and statistical analysis.
4) Can data analytics affect marketing campaigns?
Marketing campaigns have taken a great leap with the application of data analytics. Starting from content creation, product development, and marketing of products to improved customers every aspect of business has been improvised with this. We get valuable insights from data interpretation about the performance of marketing campaigns. Without wasting ads, and getting more conversions, marketing campaigns are now created more successfully.
Concluding:
We recommend the W3Schools program due to its dedicated endeavor in teaching code by breaking each step down. Their W3Schools Data Analytics program navigates the fundamentals of data analytics and teaches you data interpretation and manipulation with the help of Python programming. You will meet immense opportunity to expand your practical skills for sophisticated data handling.
This is a great platform to learn the implications of Numpy and Pandas for data processing, pulling insights from vast datasets, and data visualization. Additionally, SQL programming which is essential for data retrieval, storage, and data manipulation will also be elaborated with precision. We hope that this read has broadened your vision about the W3Schools program as a whole.
