The definition of data analytics captures the broad scope in itself, it is the process of analyzing raw data to find trends and answer questions. The process of data analytics is quite time-consuming and includes many techniques with many different goals. But successful data analytics can solve numerous problems as it will provide a clear picture of where you are, where you have been, and where you should go. The use of data analytics goes beyond maximizing profits and ROI, however. Data analytics can provide critical information for healthcare (health informatics), crime prevention, and environmental protection. These applications of data analytics use these techniques to improve our world.
uCertify introduces the Foundation of Data Analytics course and lab which aims to enhance the latest knowledge and skills of data analyst professionals. The course is well equipped with interactive tools like objective-based lessons, test preps, and live labs for a hands-on experience. It will assist one in enhancing their knowledge of how to use data typologies, data analytics tools, business statistics, data visualization with the working and value of data, and many more. The course offers a complete learning path for you by including all the subject areas on which the exam is based, beginning with processing, collecting, storing, and analyzing to help you in advancing your professional career.
uCertify’s course Foundation of Data Analytics carries all the requisite factors to be considered as a foremost choice of any student and instructor. It has well descriptive lessons, valuable quizzes, flashcards, and glossary terms to get a detailed understanding of the distinctive course. The availability of test prep makes it more reliable for the preparation of certification as it consists of pre-assessment questions and practice questions to keep a check on your preparation route. The video tutorials and performance labs accompany you to get hands-on with all the skills required for it. So don’t wait for long and get your Foundation of Data Analytics course from uCertify today.
Social media is growing exponentially and shows no sign of slowing down. Today, over 4.20 billion of all Internet users are also social media users. In addition, most users now use two or more social media sites daily and access sites using multiple devices. In the early days of social media, many businesses did not see the value of having a social media strategy. Many businesses did not participate at all on social media sites or their efforts were unorganized and consisted of random postings on various social sites. Because of the tremendous growth, businesses today should not ignore social media. Instead, they need to review the social media landscape and make a real effort to integrate social media into their business practices. The Social Media Strategist course will give you an overview of what social media is and start to introduce you to the complex landscape that makes up social media today.
In this course, you will study social media and learn how it differs from traditional media. You will also examine some foundation technologies and communication methods that make social media sites interactive, social places on the Internet. You will also examine the various types of social media and mobile social media. You will learn about people who use social media. You will also be introduced to various types of social media tools. The course offers lessons and test prep. Lessons are fully responsive and come complete with flashcards, quizzes, glossary, knowledge checks, connect the idea, and many more. It is designed to keep you engaged and make learning fun. The TestPrep provides full-length practice tests that can be configured to closely follow the exam objectives and are designed to simulate real testing conditions. In addition to the Test Prep uCertify provides PrepEngine, a gamified version of TestPrep that has a deep foundation in learning science. It is built to meet the needs of today’s students and professionals who don’t have time to sit for 90 minute test sets.
So, start your prep for being a certified CIW Social Media Strategist today with uCertify!
Amir Omidvar is an User Interface Designer at Flightio with over six years of work experience in the field of IT. He has been working as a Graphic Designer since 2014 and became a UI/UX Designer in 2017. Amir is skilled in user interface designing, user experience (UX), and logo designing. He has excellent knowledge of the following technologies:
Adobe Premiere Pro
Cascading Style Sheets (CSS)
He has recently reviewed our User Interface Designer course and provided his valuable feedback. Please read it here:
“The uCertify CIW User Interface Designer (1D0-621) course is pretty comprehensive in terms of lessons and there is so much useful information that you need to know in this industry. Starting from introduction to user interface design, the process and the all the way through even to SEO strategies around your product.
There are videos, quizzes, and a variety of tests you can take, all to get you so engaged to the topic. I’ve been a UI designer for years by now and I’m always constantly looking for more information, data and overall knowledge about it and I can say I learned many things I didn’t know throughout the course.”
Upon course completion, you will be able to
Demonstrate advanced uses of the canvas element
Design mobile devices and pages for a cloud-based storefront
Validate HTML5 code and use CSS3 to shape content on the page
Identify ways to determine browser compatibility for a page or device
The CIW Advanced HTML5 and CSS3 Specialist certification will help you showcase your essential HTML5 and CSS3 web development skills that are being extensively used at your workplace. This industry-supported certification is the first course in the CIW Web and Mobile Design series. The CIW Advanced HTML5 & CSS3 Specialist D0-620 exam includes topics such as:
Designing mobile devices
Implementing HTML5 APIs
Implementing HTML5 forms
Using CSS3 to shape the content on the page
Start your prep for the CIW 1D0-620 exam and get the CIW Advanced HTML5 & CSS3 specialist 1D0-620 certification. The uCertify study guide will help you learn all the key concepts required for passing the 1D0-620 exam.
Data analysts and data scientists both work with data, the difference is in the work that they do with it. Data analysts inspect sets of data and use it to identify trends, develop charts, and create visual presentations. With the help of the results provided by Data analysts, businesses can make more strategic decisions. On the other hand, Data scientists create and formulate new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.
Operating Data Analytics
The job role of data analysts varies across industries, however, data analysts usually use data to understand and solve problems. Data analysts work on a wide range of fields including business, finance, advertising, operations, pricing, and international strategy analysis. Data analysts evaluate well-defined sets of data using different tools to answer business demands. This knowledge will help find answers to the questions like why sales decreased this quarter, why a marketing campaign didn’t do well in all regions, what internal factors affecting revenue, and more.
Data analysts have skills including data mining, data modeling, R or SAS, SQL, and database management and reporting.
Data analysts usually design and maintain data systems and databases with the help of statistical tools to depict data sets. They are also responsible for preparing reports that reveal movements, patterns, and predictions based on useful results.
Operating Data Science
Data scientists measure the required or undiscovered results by asking questions, creating algorithms, and statistical models. Unlike Data analysts, Data scientists do not deal with heavy coding. Data scientists work with limitless data sets with multiple tools and build their automation systems and frameworks.
A Data scientist should have practical and working knowledge of machine learning, software development, Hadoop, Java, data warehouse, python, object-oriented programming, and more.
Data scientists are mostly responsible for designing data modeling processes, as well as creating algorithms and predictive models. These models and algorithms help in extracting required information and solving complex problems.
Data Science or Data Analytics: which one to choose?
You can access to choose the right path for you after understanding the differences between data analytics and data science and identifying each career’s requirement. There are three key factors you should consider before deciding which career path is the best-suited choice for your professional goals.
1. Choosing the right education background
Though there are many similarities in the work of Data Scientists and Data analysts, you need different educational backgrounds for each.
Data analysts examine large data sets to identify trends that help businesses make important decisions. Pursuing an undergraduate degree in a science, technology, engineering, or math (STEM) major can provide the required skills to perform these tasks. Some professionals prefer to have an advanced degree in analytics or a related field. Professional experience in programming, databases, modeling, and predictive analytics is also suited for this job.
Data scientists are responsible for designing and constructing new processes for data modeling and production. In this process, they use data mining and machine learning. That’s why a master’s in data science is considered as an essential education prerequisite for professional advancement.
If you’re a student and thinking about which stream you should choose then you may find a data analytics role more attractive. Employers prefer candidates with an undergraduate degree for these positions. But if you have decided to devote yourself to an advanced degree then you would like to go for Data scientists’ roles.
2. Choosing your area of interest
If you love working with numbers and statistics from or are interested in computer science and business, then these jobs are right for you.
Data analysts deal with numbers, statistics, and programming so they love these fields. A Data analyst has to work in databases to discover data points from complex sources because they work as the protector of an organization. They should also understand the work culture and nature of the industry they work in.
Data scientists are required to understand math, statistics, and computer science and have knowledge of the business world. If this characterization matches your educational background and experience then a data scientist role is the right pick for you.
In both cases, you should have an understanding of which career matches your interests. This will help you select what kind of work you’ll enjoy.
3. Choosing your desired salary and career path
The pay scale of data analysts and data scientists’ roles varies with the level of experience.
Data analysts’ pay scale varies between USD 83,750 and USD 142,500. They mainly have to deal with the databases, but their salaries can be increased by learning additional programming skills, such as R and Python. Researches have shown that data analysts with more than 10 years of experience earn more money and receive promotions.
Data scientists with a graduate degree are generally more experienced and are considered more superior to data analysts. That’s why they are better paid. According to reports, data scientists receive an annual salary between USD 105,750 and USD 180,250. Data scientists achieve more promotions as well. They can advance to senior roles such as data architect or data engineer.
Data analysts and data scientists differ in responsibilities, educational requirements, and career trajectory. A qualified professional for data-focused careers are highly demanded these days because of businesses increased reliability on data. So, now when you know about all the deciding factors for choosing between data scientists and data analysts, you will be able to decide which career is the right fit for you. uCertify will help you with the next step, gaining the correct skills to become a data scientist or analyst. Our comprehensive courses and other learning resources will teach you everything you need to know. So, start learning with uCertify today!