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Do More With Data on Twitter and Beyond With an MSc in Computer Science

Data scientists are significant roles for those with a computer science background. However, just because you have a BSc in Computer Science does not automatically mean that you are ready.

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Guide Your Business with the Right Tech

Twitter and all other social channels are so much more than ways to connect with your customers and vice versa. They offer key insights that you cannot get elsewhere, from how users interact with your brand and how different campaigns resonate with your audience.

Every social media manager knows how to explore analytical information so that they can better inform themselves on how to get more Twitter followers.

That is not the beginning and end of it all, however.

For a business to truly succeed, data needs to be collected and analyzed from a vast collection of sources. This ranges from social media to your website, all the way down to supply chain logistics and buyer behavior in stores.

Computers are easily able to collect this data; what is not easy is understanding it. Analytics takes uncategorized data and process them in ways that you can understand, but they have their limits.

To truly stand out in your field and prove you are invaluable for any business, you are going to want to specialize with a Masters in Computer Science online or in person.

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1. What Skills Do You Need to Make the Most Out of Twitter and Beyond?

Big Data refers to all data ever produced. Analyzing Big Data can provide insights into society, economics, and development in ways we never thought possible.

Though there are many limitations to Big Data — security and privacy ironically work against it — many of the same concepts from Big Data can be applied to every business.

Instead of looking at all data ever produced, however, you will be looking at all the data available for that one company, or even one resource like Twitter.

Enterprise-sized businesses need a data analyst to put together their data and understand it so that real strategies based on evidence can be created.

2. To perform such a feat, you will need skills in a few areas:

a. Computer Programming

Being proficient in at least one computing language is often essential, as not every program or system is going to divulge its data in a way you can extract and analyze.

You need to be able to troubleshoot, hack, and even develop software to reach your end goal.

b. Understanding of Statistics

Getting data and organizing it is just the first step. Data analysts need to be able to take the data and extrapolate so that better business can be conducted using their actual historical information.

You can better predict product sales, narrow down when campaigns work best almost to a science, and so much more.

c. SQL Database Expertise

Most data will need to be processed in an SQL database or similar program, so you will need to know how to use SQL through and through.

d. Data Analysis

Data analysis, in general, is also its skill and culminates in many different requirements and abilities.

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3. What is Data Analysis?

Data analysis has several steps. You will inspect data, clean it for better analysis, transform it into a visual representation of itself, model it, and so on so that you can extract new information from the data and produce informed conclusions that work to better the business or organization you work for.

4. What are the Benefits of Data Analysis?

We learn by looking from the past, but our brains are not designed to process sizeable raw data collections. We cannot make sense of a massive screen of numbers without first organizing those numbers into meaningful ways. That is the job of the data analyst.

a. Your Future Career in Data Analysis

Data analysis is a big industry, and it’s only growing as businesses open their eyes to the power and wealth found in their systems. There are restrictions, of course.

GDPR, for example, has made data retention more complicated, though adhering to it also better protects your customers and reputation, so it is a fair trade-off.

As for what your potential career could look like, know that:

b. Outlook

In 2018 there were over 3 million job listings for data analysts. The job industry grew by 29% that year and has done so consistently ever since.

c. Average Annual Income

Data scientists and other computer science specialists make the big bucks, with a data analyst earning between $93,000 to $142,000 per year.

d. Job Satisfaction

According to Glassdoor.com, data analysis is the #1 ranked job in 2019, culminating in future opportunities, job satisfaction, and annual income.

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5. How to Become a Data Scientist

Data scientists are significant roles for those with a computer science background. However, just because you have a BSc in Computer Science does not automatically mean that you are ready.

a. Be Prepared to Take Foundational Courses

Data Science involves statistical models and machine learning, so you may still need to use these steps before you are ready to even apply to an MSc. Thankfully, obtaining these foundational credits is very easy.

The better MSc options will allow you to take foundational courses included with your degree so that you can build upon the knowledge you are missing and then finally specialize.

b. Find the Right MSc for You

While there are specific data science degrees out there, you will be far better off specializing an MSc in Computer Science, unless of course you already have an MSc.

Either way, it can be a good idea to look at the full course description to see what each class offers and whether you need it.

Choosing the right degree is going to be crucial and will prove that you have the skills it takes when you start job hunting.

c. What to Remember About Computer Science

The computer science and technology sectors are always evolving, so while you may have an MSc to your name, it is certainly not the last course you will want to take.

While small updates to programming languages or tools can be learned on the way, new tools might be better absorbed in a specialty, short-term course.

Just be ready to invest in yourself throughout your life, because only then can you truly become a data scientist who sees the potential in all data, whether that is found on Twitter or the world over.

We are an Instructor's, Modern Full Stack Web Application Developers, Freelancers, Tech Bloggers, and Technical SEO Experts. We deliver a rich set of software applications for your business needs.

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Computer

A Brief Guide To Computer Software

While most users rate computers in terms of their manufacturer or hardware, computing devices would be rendered almost unusable for most people without the software we run on them.

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Leverage the Power of Deal Room Software

While most users rate computers in terms of their manufacturer or hardware, computing devices would be rendered almost unusable for most people without the software we run on them. Sure, Hard Disk Drives (HDDs) and RAM, etc. are essential but, underneath, it’s the software we run on our machines that make them work and provide a helpful service.

1. The two types of computer software

In broad terms, computer software can be split into two types:

Operating Systems (OSs): Used to control the hardware and provide a virtual interface between hardware and user.

Applications: Application software programs (now commonly referred to simply as ‘apps’) perform practical benefits for users, e.g., programs like Microsoft Word or Adobe Photoshop.

2. The constant battle to maintain software security

One common consideration between OSs and applications is the need for code security during the development phase and further down the line to keep software updated and protect users from hackers. Cybercriminals are constantly trying to exploit issues and find backdoor security flaws in software.

For this reason, when you’re offered updates to your OS or the programs you run, you should install them as soon as possible to save leaving yourself exposed to new risks.

3. The early days of software programming

While its strength seems hard to believe, the first computer program was written back in 1843 by a mathematician, Ada Lovelace, to work with a physical machine built by Charles Babbage. Programming has come a considerable way since computers nowadays rely on a Central Processing Unit (CPU) to interpret software compiled in specific programming languages to understand and execute instructions set by the user.

Software programming languages to learn

4. The development of Operating Systems – a crucial turning point in modern-day computing

All computer-driven devices run an Operating System to function – everything from laptops and desktops (typically running Apple’s OS or Microsoft Windows) to mobile devices (mostly running Apple iOS and Google Android). The OS of a device allows it to manage hardware resources, offer User Interface (UI) components, and provide a platform to enable developers to write software to extend the usefulness of the machine.

Without OSs, the software you commonly use today would be worthless and amount to little more than lines of complicated code.

5. Software applications – the programs that make your device useful

Applications extend the OS of a computer to allow users to accomplish specific goals – for example, writing a document in Microsoft Word or listening to music on Spotify, etc. In short, apps are the side of computing that brings tangible benefits to the user. An OS on its own would be of little use – however, OSs remain the fundamental building blocks of all the programs you use.

6. Software utilities and programming tools – a subsection of applications

Utilities and developer programs are an essential subsection of apps that should not be overlooked. Utility apps allow users to modify their device – for example, by offering antivirus protection or performing backups.

Programmers use software development platforms to write new software and compile and debug code, allowing the developer to write programs that can then be run on a computer. Software dev programs also will enable the coder to test and convert their code into a format that the computer’s OS will understand.

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