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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.

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Artificial Intelligence (AI)

5 Ways Artificial Intelligence Can Positively Impact The Future Of Web Streaming

5 Ways Artificial Intelligence can Positively Impact the Future of Web Streaming. Better Encoding, Zero Privacy Issues, Improved UI

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5 Ways Artificial Intelligence Can Positively Impact The Future Of Web Streaming

Despite inspiring a considerable amount of intimidation, AI is at the forefront of innovation, especially in the post-pandemic era. However, as a futuristic technology, AI’s real essence needs to be ascertained from an open mindset. Reasons being the diversity of approach and the usefulness of AI as a multivariate resource for simplifying human indulgences!

Then again, AI’s role in optimizing video streaming experiences has been under a lot of speculation in 2021. As individuals rely heavily on streaming devices, streaming platforms, and even web streaming services to keep up with the leisure spells, even service providers are wrapping their heads around the inclusion of AI to make the experiences even more rewarding.

Those who aren’t of the positive impact of AI regarding the video streaming modules and workflows should closely follow this discussion. In the subsequent sections, we shall take a closer look at home Artificial Intelligence can impact the diverse clientele’ web streaming experiences, sans privacy and quality compromises.

1. AI and Video Streaming: The Relation

Artificial Intelligence AI Web Streaming

Before we move any further with this discussion, it is important to note how AI technology works, with video streaming being the subject of interest. AI put, equates to mimicking the human mind, albeit an intelligent one.

Before AI became a fad, intuitive human minds used to manually manage certain processes, slowing down the entire system in the process. On the other hand, AI goes relentless about the task and even empowers any given process with cumulative computational power about machines.

As with video streaming, AI comes in as a handy purported inclusion as the technology allows you to sift through massive data sets in a matter of seconds, something that is virtually impossible for any human mind. Therefore, in the immediate future, AI will aim to optimize streaming workflows by calculating bitrate, user expectations, and even network conditions.

Therefore, broadcasters will not have to worry about catering to diverse audience bases separately. The platform itself will be extremely intelligent, and content quality will vary as per preferences and resources.

If you are still unsure as to how AI will make such a lasting impression, considering the already evolved nature of the streaming devices, platforms, and services, keep reading on:

2. 5 Ways AI can help

a. Better Encoding

If you are not aware of how the concept of video streaming works, a better understanding of encoding is expected to help. This means the content-aware realms process and stream videos, where the quality, inclusion, resolution, and other aspects are in sync with the receptors hardware configuration.

While most encoding tasks are still being initiated manually, AI can help automate the process more with trained machine learning algorithms to work with.

Once AI is incorporated into the mix, optimizing bitrate, accounting for latency, and syncing along the video streaming protocols become easier than ever.

While most streaming platforms and applications is already pursuant in a given capacity, this inclusion will make the most sense of website streaming and relevant content, often lacking a dedicated UI to optimize the broadcasted quality.

Not to mention, the role of AI would impact VDO and even live streaming workflows, allowing broadcasters, enterprises, and companies to save a lot of money by facilitating curated bandwidth usage.

b. Zero Privacy Issues

Web streamers often find it hard to curate content based on locational and copyright issues. This means, if a web stream is broadcasting something sensitive where certain parts of the content are confidential and need to be blurred out, manual settings might not be as helpful.

On the other hand, AI can check and optimize the entire workflow and essentially take care of the brand names, signs, logos, and other information bits via advanced and trained computer vision.

This way, it becomes easier to send forth unique content.

c. Improved User Experience

Eventually, it all boils down to improving the overall customer experience, something most web streamers strive for. While a handful of web streaming resources already offered the best possible experience by eliminating clutter and issues related to buffering, AI implementation in other resources can have a similar effect.

Content tagging happens to be one such aspect as it allows the streamers to broadcast specific content pieces, depending on audience preferences.

Artificial intelligence, therefore, makes watching USTVGo on Firestick a more lucrative experience as you can get access to curated content, sans broadcasting issues.

Not just USTVGo, but other web streaming resources can also benefit from the concept of content cataloguing whilst helping convert prospects into active viewers.

d. Automated Detection

Have you ever seen certain channels blurring out sharp images and elements for a particular program or a movie? This is what AI aims to achieve on a larger scale.

Instead of manually monitoring every program, Artificial intelligence will bring in the ability to detect certain elements automatically whilst managing them as per preferences. This way, any web streaming platform can go safely and securely about VOD streaming without worrying about legal issues.

e. Zero Copyright Infringement

Here comes a more scalable aspect relevant to the AI implementation. Ascertain brands and enterprises are quite serious about their logos; streamers often look for technologies that can take care of the same by selectively hiding or blurring out the same.

Leveraging artificial intelligence can make this concept work, but streamers must first train the systems with relevant algorithms to facilitate seamless detection.

3. Bottom-Line

Artificial Intelligence, if leveraged right, can change the way web streaming is perceived in the modern era. With the streamers becoming more intelligent, it will be easier for the relevant broadcasters to rely on selective and optimized broadcasting.

While we are currently looking at web streaming, AI can also simplify the way businesses work with live streaming workflows and sessions.

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Computer

Why You Need A Home PC (Personal Computer)

Why You Need A Home PC. It’s a cheaper choice in the long run, wide variety of design choices, vast quantity of high-quality brands

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Why You Need A Home PC

Now that 41.8% of Americans work from home, they need to figure out what gear they need to get their home office working.

As you know, a point of focus in every home office is the PC. You work on it, play on it, spend some of your leisure time browsing the web on it, and your kids and family spend time on it too, if they don’t have their own.
But you might be thinking about making the switch to a laptop, but here are some reasons why you might still need a home PC.

1. It’s a cheaper choice in the long run

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Home PC is a cheaper choice in the long run

Getting a desktop is cheaper in the long run. It is more cost-effective because, with a laptop, you need to wait for a new model to be released to get any hardware updates.

With a desktop, you can switch out old parts for newer parts relatively easily whenever you feel it is necessary. This means that you have more control over upgrading your device. So, even though you might be paying a little bit more upfront for your desktop, you’re saving money by getting something that might last a little or even a lot longer.

2. There are a wide variety of design choices

There are many different styles of desktops. Most people think of the big, bulky masses that are awkward to move and never sit right with any of your decors. But you can also get an all-in-one computer with the monitor and the PC built-in together, making it easier to store and fit into space.

3. There is a vast quantity of high-quality brands

Many brands make excellent desktops that are fast, efficient, and easy to use. Companies such as Lenovo can make reliable desktops and laptops that also support both chrome and windows products. Choosing the right brand can be a great timesaver, primarily if you’ve worked with the brand before.

4. A desktop isn’t just for work; it’s for leisure too

You can do so much more on a desktop than on a laptop. You can work, play games, stream, and create whatever you want much more quickly.

Not only will your desktop be able to handle more when it comes to your chillout time, or it comes to your children hanging out with their friends and playing video games, it also won’t get as hot overheating. Most people who prefer laptops often need to get a completely separate laptop for gaming, which can get very costly.

5. It keeps everything in one space

Although laptops are mobile, portable, and convenient, it’s easy to feel tempted to move them around the house or work from home all day in your bed.

This can be not good for your concentration. By keeping all of your work fixed in one space, you help your attention, health, and it encourages you to leave your bed in the morning (although at the moment, it might be very tempting not to).

ery tempting not to).

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Business

Why You Should Not “Cheap Out” On Business Laptops

Why You Should Not “Cheap Out” On Business Laptops. Security Considerations, Utility In Your Day-To-Day Operations, Resources To Help Choice

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Many Factors Define Business Laptops Efficiency

Many Factors Define Laptop Efficiency

You can find a Lenovo or a Dell laptop in the $150 to 250 range brand new on sale. That laptop will do word-processing, it will have internet access, and come preprogrammed with a few games. It’ll likely have adware as well, which is a pain. The cheaper the device, the higher the likelihood annoying pop-ups will define startup and be hard to get rid of.

That said, for many, this kind of thing is all that’s necessary. However, for laptops that are repositories for important information, this is not enough. Two primary things are deciding factors. For one, consider security. The cheaper the computer, the more vulnerable it is to cybercrime.

Why You Should Not “Cheap Out” On Business Laptops

You’re generally not going to find exceptionally cheap Apple devices unless they’re used and old. Good luck finding anything that’ll run modern software under $500 in the MacBook refurbishment camp. It’s there, but it’s quite essential. Meanwhile, Windows devices are international and common.

1. Security Considerations

For cybercriminals, the majority of hack attacks have to do with a sort of spray-and-pray technique. They’ll send out varying hack attacks en masse. Instead of sending one email to a specific target, they’ll send a thousand emails aimed at average users who aren’t savvy to the new scam and hope they catch a few.

That’s not to say there isn’t directed hacking, either. This is sometimes called “spear-phishing”, and there’s also “whaling”, where management personnel at the top of corporate infrastructure are targeted for cybercriminal data theft.

Ransomware is targeted at such individuals. Also, hackers seek to get network access information to steal vital data like bank accounts and passwords.

2. Utility In Your Day-To-Day Operations

Beyond security, you need to think about utility. Cheap laptops have unresponsive trackpads, meaning you’ll likely need to get a wireless mouse. Their keyboards are also suspect. On the Lenovo Ideapad 110-15ACL, the “Shift” key is smaller than on virtually all other American devices, and it’s located right above the “Right Arrow” key.

If you type like most people—right-handed—you’re going to have quite a difficult time capitalizing certain things. It ends up being quite an impediment to your daily grind, and, as with the wireless mouse, you end up having to buy a wireless keyboard as well. That’s in addition to all the adware and pop-up.

Plus, as you use cheap laptops, they become increasingly slower with notifications, adware, user error, and other issues. Lastly, the cheaper the computer, the faster its battery gets used up.

On that Lenovo mentioned earlier, expect battery life to last about two hours before a recharge is needed once you’ve had it a few months. Now the Ideapad 110-15ACL is explicitly a few years old, but the same features tend to define other cheap options as well.

3. Resources To Help Inform Your Choice

To more efficiently inform your business laptop acquisition, here’s a list of some of the best laptops out there. To condense it all, you’ll want something that’s mid-range and up for essential battery, speed, storage, processing capability, security, and overall user-friendliness. Look for models that specifically feature vital customer service.

The stronger the customer service, the less difficulty you’ll have troubleshooting when issues develop. Even if you can farm such troubleshooting off to on-site IT personnel, they’ll thank you if customer service for the device in question is qualitative, as they’ll likely have to deal with those departments at some point.

The thing is, there’s a cost-benefit analysis to run here. If the device you choose is cheap, but it’s hard to operate, its battery always runs down, it doesn’t effectively safeguard proprietary data, and it’s a pain to use, then what you save in money directly you’ll lose on the back-end.

However, a device that’s four times more expensive than peers, but which runs fast, is reliable, secure, easy to use, has friendly customer service, incorporates long battery life, and is exceptionally portable will collaterally be more valuable to your business overall.

Workers can get things done faster and with less mental fatigue, and the device can be trusted. You’ll make back the extra money you spend.

4. Diverse Factors Determine Balance: The $750 Rule Of Thumb.

The balance for many businesses where employees aren’t doing processing-intensive work on their laptops tends to be between about $500 and $1,000.

If you are actually on a budget, you can find models in the $1,200 to $2,000 range in the $300 to $700 range if you buy them refurbished after a few years. As a rule of thumb, expect about $750 per unit for best results overall regardless of brand.

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