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!
uCertify has introduced a new CIW Data Analyst course to help candidates prepare for the latest 1D0-622 exam. This course covers 1D0-622 exam objectives and teaches you to use data to analyze a company’s operation and make appropriate business decisions. The course focuses on Web-oriented data, and methods for analyzing data in order to create appropriate dashboards, reports, and solutions. The CIW Data Analyst course also provides skills to identify sources of institutional knowledge that include Customer Relationship Management (CRM) applications, transaction data, social media, marketing sources, inventory management systems, and industrial systems. It offers specific tactics for working with cloud-based data, that include backup procedures, security issues, cloud-native data, migrating data to or from the cloud, and user training.
After completing the uCertify course, students will learn about:
Fundamentals of Data Analysis and Big Data
How to work with Data Sources
Tools for capturing and analyzing data
How to analyze and report data
The Data Analyst certification is a part of the CIW Web and Mobile Design Series. It validates students’ knowledge to compare structured and unstructured data and find how data can drive business decisions. After earning this certification, students will learn to regulate relationships between organizational efforts and business outcomes, analyze and represent data, and extrapolate information using data obtained from new and traditional data sources. Students will also understand how ethics and security are vital parts of a Data Analyst’s responsibilities. This certification helps professionals working in marketing, merchandising, and data-driven fields. It is also helpful for data analysis professionals, product development professionals, merchandising professionals, web marketing professionals, advertising professionals, and entrepreneurs. On earning the certification, candidates will be able to compile the data from many sources, prepare and deliver an objective, and unbiased presentation.
Want to be a certifiedCIW Network Technology Associate professional? uCertify can help you! We have introduced the CIW Network Technology Associate course based on the latest 1D0-61C exam objectives to help candidates get CIW certified. This uCertify course provides an understanding of topics such as networking components and standards, connecting to the Internet, Internet services, hardware, and device connectivity, network and cloud security risks, and more. The course comes with labs that provide hands-on learning by simulating real-world, 3D, hardware, software, computer programming & command line interface environments. These labs can be mapped to any course, textbook, and training material, therefore, adding value to virtually any training.
The target audience for the course is students preparing to enter or continue in the workforce, which includes high school students, college students, and technical/trade school students and professionals in all industries including IT, Healthcare, Legal, Marketing, Graphic, or Business. Once you complete the uCertify course, you will gain knowledge in:
Internet security and availability issues
Personal privacy protection on the Internet
Relationship between IP addresses and domain names
Networking hardware, and configure common hardware for operation
Basic hardware and system maintenance for network-aware systems
Fundamental elements of modern network-based client operating systems
Functions and components of servers that are commonly used on the Internet
Configuring and troubleshooting wireless networks, and virtualization
Data communications components and technical knowledge of the Internet
Common performance issues that affect Internet clients, including analysis and diagnosis
About The CIW 1D0-61C Exam
The CIW: Network Technology Associate certification exam validates your skills of networking basics and prepares you for further study in the specialty of your choosing. The certification also provides skills in network technologies that include TCP/IP, wireless networking, stable network creation, and network troubleshooting.
So, enroll in the uCertify course today and start your prep for the Network Technology Associate certification!
Using the Internet, configuring networks, and developing Web pages
HTML code development
CIW Web Foundations Associate or equivalent