Trending March 2024 # What Can Be Done To Increase Women’s Participation In Robotics # Suggested April 2024 # Top 3 Popular

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No second thoughts to the fact that robotics is one of the most sought-after career opportunities across the globe. In addition to being one of the hottest jobs, this field holds the potential of transforming the lives of people for the better. Contrary to popular belief, getting into this magnanimous field of robotics doesn’t require you to have a degree in robotics or engineering, though having one is always preferred. How skilled you are and the kind of determination you hold is way more important. Robotics is a great career path to choose – not just from the salary point of view but also from the perspective of career growth. Despite all this, what continues to remain an area of concern is that the number of women working in this field is negligible. Without a doubt, robotics is dominated by men workforce. The lack of women’s participation in science-related fields despite the fact that the field has seen astronomical growth over the years is what needs to be addressed to. What can be done to increase women’s

Today, understanding what makes women not consider technology-related fields as an ideal career opportunity is the need of the hour. Making them aware of what the future would like if choosing robotics as a career could ease things out to some extent.

If the very thought of how do robots work, what goes into their making, how to design a robot, etc. interests you, then you shouldn’t hesitate in exploring this field in depth. Research as much as you can and the best way to bring all the knowledge that you’ve gained to life, create a small robot on your own. There are tons of videos and courses available that’ll enable you to get started.

There could be a case wherein the model you developed isn’t functional. In that case, you need not get disheartened. When you are in the interview room, you could take your model and ask the panel what went wrong. How curious you are in knowing about robotics increases your chance of getting hired.

Not everything that you possess can be put on paper in the form of a resume. How good you are as far as communication is concerned, how critically can you think, how proactive you are, etc. are a few areas where you can work on. The interviewers would be more than happy to hire a woman who is excellent with technical skills but is a package of relevant soft skills as well.

Women who have already carved a niche for themselves in this field need to come out and address women who are hesitating from choosing robotics as their career path. It is now time that women employees with good experience in robotics pose to be role models for others. The influence that a role model has on budding professionals needs no special mention. Hence, women employees holding interactive sessions with other women who want to create a mark in robotics can do wonders. This will not only serve to be a motivation for them but will also be able to address all their doubts, concerns, etc. if any.

Encouraging women to take up this career is probably the most effective of all the methods. Providing them with all the required resources, a platform to begin with, and making them believe that whatever they are up to will yield fruitful results for sure can turn out to be a game-changer altogether.

No second thoughts to the fact that robotics is one of the most sought-after career opportunities across the globe. In addition to being one of the hottest jobs, this field holds the potential of transforming the lives of people for the better. Contrary to popular belief, getting into this magnanimous field of robotics doesn’t require you to have a degree in robotics or engineering, though having one is always preferred. How skilled you are and the kind of determination you hold is way more important. Robotics is a great career path to choose – not just from the salary point of view but also from the perspective of career growth. Despite all this, what continues to remain an area of concern is that the number of women working in this field is negligible. Without a doubt, robotics is dominated by men workforce. The lack of women’s participation in science-related fields despite the fact that the field has seen astronomical growth over the years is what needs to be addressed to. What can be done to increase women’s participation in robotics and other science-related fields? Women tend to underestimate themselves. In reality, they can be way more risk-averse than men. Women don’t realize their potential and despite being highly qualified do not consider choosing this path.Though robotics as a career is full of opportunities and is high in demand, the number of women who seem to be inclined to this field is surprisingly less. It is now time that people understand that this career is open to everyone and that gender shouldn’t be a hurdle. Following steps that enable women to proactively choosing this career should be prioritized.

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What Isin Windows 10 And Can It Be Removed?

When you create a new user profile on Windows 10, the operating system needs somewhere to save your settings. While you might think this information is saved in the Windows Registry, that isn’t entirely the case. While some information is stored in the Registry, your user profile settings are usually saved to NTUSER.DAT.

The chúng tôi file is essential – without it, any personalization you’ve made to your account won’t get saved. If you delete the chúng tôi file by accident, or if the file becomes corrupted, you won’t be able to sign in without resolving the issue. If you’re having trouble with chúng tôi here’s what you’ll need to know.

Table of Contents

What Is the chúng tôi File in Windows 10?

When you make changes to your account on Windows 10, the changes have to be saved somewhere. There isn’t an obvious place for this, because the location is usually hidden from view, but the file you’re looking for sits in your user profile folder (C:Users).

This is the chúng tôi file, and it serves as a permanent library of your user settings. This file dates to the earliest days of the Windows NT operating system, first launched in 1993. When you’re signed in to a user profile, changes are saved locally to the Windows Registry (in HKEY_CURRENT_USER). 

When you sign out, restart, or shutdown your PC, this information is saved back to the chúng tôi file for safe keeping. After signing back into your account, the chúng tôi file (and the information held within) is loaded back into the registry.

Why You Shouldn’t Delete the chúng tôi File

Most users won’t even know that the chúng tôi file exists, let alone the importance of it. If you head to your user profile folder in the C:Users folder, you won’t usually see the file there. That’s because important files like chúng tôi are usually hidden to avoid accidental deletion.

When this happens, Windows generates a temporary user profile (in the C:UsersTEMP folder), rather than signing you in to your own account. The chúng tôi file for your own user profile isn’t regenerated, so you won’t be able to save any settings. In some cases, Windows may not allow you to sign in at all. 

If you do remove a chúng tôi file, you’ll need to replace it with a genuine alternative by creating a new account first, then copying that user profile’s chúng tôi file over to your old account profile folder.

How to Remove chúng tôi in Windows 10

For instance, if the file is already corrupted in some way, deleting chúng tôi and replacing it can resolve the issue. You’ll need three user accounts to make this work: one corrupted account, one account with administrator access you can make changes from, and one account with a fresh chúng tôi file to copy from.

To start, sign in to your second user account with administrator access (but not the account you’re copying chúng tôi from). Once you’ve signed in, open File Explorer and use the address bar or navigation options to open the C:Users folder.

With the chúng tôi file deleted or renamed, the user profile settings for that account are now missing. You’ll need to reintroduce a fresh chúng tôi file by following the steps below or delete the user account entirely in Windows Settings.

Recovering a Corrupted User Profile

If you’ve deleted an chúng tôi file, it’s likely that you won’t be able to sign in again to your account. If you can sign in, Windows may generate a temporary user profile, meaning that any settings or changes to your profile aren’t saved when you sign out or restart.

If your user profile is corrupted, you can copy the chúng tôi file from another user profile to the C:Users folder of the corrupted account. It’s best to copy chúng tôi from an entirely fresh user account, as this will be as close to a default profile as possible.

After logging out, sign in to your restored user account. Windows will read from the new chúng tôi file and should allow you to sign in at this point. If successful, you can make changes to your personalization settings (including your background) to restore your original profile as much as possible.

Maintaining Windows 10

Removing the chúng tôi file isn’t recommended for most users, but it can help to reset a user profile that’s become corrupted in some way. A corrupt user profile points to other issues with your PC, so it might be worth running some regular maintenance tasks, including checking for corrupt system files.

Ibm’s Mayflower Ai Can Be Used In Business To Execute Operations

Powered by IBM’s AI, the ship was designed and built by non-profit maritime research organization Promare.

With no human captain or onboard crew, IBM‘s Mayflower Autonomous Ship (MAS) uses Artificial intelligence (AI) and the energy from the sun to travel further and reveal more about the ocean. Working in tandem with scientists and other autonomous vessels, MAS provides a flexible and cost-effective platform for deepening understanding of critical issues such as climate change, ocean plastic pollution, and marine mammal conservation. In parallel, the development of marine autonomous systems promises to transform ocean-related industries such as shipping, oil, and gas, telecommunications, security and defense, fishing, and aquaculture.

Powered by IBM’s AI, the ship was designed and built by the non-profit maritime research organization Promare. Mayflower AI’s main purpose is to reach places where no robot has gone before, and collect oodles of data from our oceans.

Per an IBM white paper:

Just as IBM has been instrumental in the development of the Mayflower’s AI Captain, it has also helped global enterprises solve many critical operational challenges. When used in conjunction with our DecisionsFirst™ approach, IBM solutions can help your organization achieve positive business outcomes by streamlining business processes, minimizing manual effort, integrating AI-based insights for better decision-making, and solving inefficiencies—especially for customers.

IBM engineered the crewless ship with three layers of technology: sensory inputs, real-time machine learning and analytics, and a decision engine. IBM experts used petabytes of data to train machine learning models and wrote rules-based decisioning for the decision engine, enabling the ship to react to an often-treacherous ocean environment — with zero human intervention. It adheres to maritime law while making crucial split-second decisions. It reroutes itself around harsh weather environments. It collects and analyzes massive amounts of ocean data. And it does it all, 24/7.

By extending the ship’s groundbreaking intelligent automation, operational decision-making, edge computing and AI-powered remote monitoring technologies across industries, we can pave the way for the next generation of innovation, efficiency, safety, and cost-savings in your business.

How does Mayflower AI work?

As mentioned by IBM, Mayflower Autonomous Ship (MAS) is equipped with three layers of technology — sensory inputs, real-time machine learning and analytics, and a decision engine. Engineers used petabytes of data to train the machine learning model. The decision engine is suited to ruled-based decision making, allowing the ship to navigate the ocean with no human intervention. MAS reroutes itself around harsh weather conditions and collects and analyses ocean data round the clock. Although MAS makes crucial decisions in split seconds, it adheres to all maritime laws.

Equipped with solar-powered vessels, MAS remarkably cuts down on the time and costs of hiring scientists. The autonomous ship travels to collect data from the remotest and most dangerous realms of the ocean. Scientists and researchers stationed on land download the live data and images synced to the cloud. MAS is armed with an electronic tongue called the HyperTaste to detect data, including ocean chemistry or whale songs.

The autonomous ship also has AI-powered sensors used to analyse the data collected to help scientists derive insights at a much higher speed.

What Is Domain Authority? (+How To Check & Increase It)

If you’ve ever tried to rank on the first page of Google, you probably know the frustration of seeing a competitor’s site outrank yours.

Sure, maybe your article has better content, more in-depth research, and more original ideas—but if your competitor has a higher Domain Authority than you, it often won’t matter. You’ll likely have to work overtime to ensure you’re not stuck in second place (or on the second page) forever.

But why does this happen? How does a site with lower-quality content get ranked higher than one with better content?

The answer is simple: they have a stronger reputation than you and Google trusts them more. If you want to rank #1, you (almost always) need higher domain authority than the sites you’re competing against.

But what exactly is domain authority? How do you get it? And why does it matter so much?

In this guide, we’ll show you what’s going on under the hood and how domain authority impacts your ability to rank well for queries related to your business. We’ll also discuss some practical tips to help you improve your domain authority score so you can perform better in search results.

What is Domain Authority?

Domain Authority (DA) is a metric that predicts how likely a website is to rank well in search engine results pages compared to its competitors. This metric was initially developed by Moz.

It ranks every website’s “authority” on a scale from 1-100, where the higher your number, the greater your ability to write an article and have it rank on the first page for its target keyword or keywords.

Every website in the world has a domain authority score, whether its owner is aware of it or not.

Although it was Moz who introduced the concept of Domain Authority, many other SEO tools have since developed scoring systems that roughly infer the same logic.

For example, many SEO experts use Ahrefs’ Domain Rating as a measure of a website’s strength. Others in the industry rely on SEMRush’s Authority Score or Majestic’s Trust Flow.

These tools generate a Domain Authority score by calculating several factors including the number of root domains linking to a website, the number of total links, and the strength of those links. The score is then issued from 1-100.

A high DA score indicates that a site is likely to be trusted by Google and other search engines. Similarly, a low DA score indicates that it needs to work harder to earn its rankings against more competitive keywords.

It’s important to emphasize that while we often use the term loosely to describe how strong a website’s metrics are, it’s generally understood that Domain Authority should be treated as more of a general guideline than a hard-and-fast rule.

Why is Domain Authority important?

If Domain Authority is meant to be a general guideline rather than an authoritative metric, why should you care?

Because it’s better than nothing. It at least gives you a place to start.

If you have a new site trying to rank on page one for a term that’s dominated by large sites that have extensive libraries on a specific subject, there’s almost zero chance you’ll be able to claw your way up there.

If you already have a high-authority site, you can target more competitive terms because you can assume you’ll have a higher chance of ranking for them than your competitors. Inversely, if you’re a site with less authority, you can build your authority by focusing on less-difficult searches to start with.

Moz, the inventors of the term, put it best:

“(Smart SEO) is about understanding where you realistically have a chance at competing. Knowing that your DA is 48 is useless in a vacuum. Knowing that your DA is 48 and the sites competing on a query you’re targeting have DAs from 30-45 can be extremely useful. Likewise, knowing that your would-be competitors have DAs of 80+ could save you a lot of wasted time and money.”

A more simplistic way of looking at it, perhaps, is that Domain Authority provides you a benchmark on where you stand in the eyes of Google.

Established websites like the New York Times and Buzzfeed routinely score in the 90s (out of 100). They’ve been around for a long time and have published thousands of highly-linked to, highly-shared articles over the course of many years—of course, they have a strong reputation.

If these sites were to publish an authoritative post covering a different angle on a subject they’re already known for, there’s a very high chance that the new article will rank favorably and drive them tons of traffic going forward.

Concerned that you may not have a very high Domain Authority? Unless you’re in direct competition with those that do, don’t fret! You only need to be comparable (or better than) the other sites that you’re directly competing with.

Even then, there’s a reason for optimism.

According to WordStream, “Smaller websites with lower Domain Authority scores can still outrank competitors if they create high-quality, informative, fresh, and relevant content for users.”

The tricky thing about domain authority is that although Google has officially claimed that domain authority is not a ranking factor, the metrics that are used to calculate the score are.

As it turns out, the number of (and quality of) links is “one of the most important ranking factors in Google’s algorithm,” as evidenced by Backlinko’s industry study of 11.8 million Google Search results, proving that pages with the highest number of total backlinks tended to rank best on Google.

Source

How is Domain Authority calculated?

The 1-100 domain authority score is based on different factors, depending on the specific tool used in the assessment. While their algorithms are proprietary, it’s well known that a website’s rating is established based on its backlink profile—specifically, the quantity and quality of incoming links.

That said, your backlink profile isn’t everything. Tools such as Ahrefs have clearly stated that they consider the quality and quantity of links that a website passes outward as a quality score indicator as well.

The more websites the referring domain links to, the less authority it passes onward to these sites.

In other words, if you have 1,000 backlinks coming from 100 different domains with an average DA of 20, your domain authority may be lower than someone who only has 50 links from five high-authority domains with an average DA of 30.

These algorithms also look at how long your domain has been registered and how often you update your content. The sites that consistently rank #1 are those that are actively engaged with their audience and have built up their reputation as an expert in their field.

What is a good Domain Authority score?

The sites with the highest Domain Authority scores tend to be large, established sites with thousands of external links. Smaller websites, inversely, typically have lower Domain Authority scores and must rely on targeting less competitive topics and long-tail keywords.

Here’s how to break it down:

Poor Domain Authority

Generally speaking, a low domain authority score falls between 0 and 20. These are typically newer sites or solo blogs run by one person as a hobby that hasn’t been able to devote a lot of time to procuring backlinks.

These types of sites usually receive a low amount of monthly traffic, but depending on how competitive their niche is, they can still do well.

For example, the Endless Crate music blog is run by one person, and with an authority score of 4.5, they’re receiving 1,300 monthly organic traffic.

Okay Domain Authority 

A score between 20 and 30 indicates room for improvement, but you’re doing something right to have gotten out of the “poor” category!

Good Domain Authority

A domain authority score between 30 and 50 means that your site is doing well and can start to focus its efforts on ranking for more difficult-to-rank-for topics.

Excellent Domain Authority

Once your score is in the 50 to 60 zone, you’re on your way to greatness. Many sites live comfortably in this zone and make big-time company money every month.

Best Domain Authority

Once you’ve cleared that and you’re in the 60 to 100, you’ve got an outstanding domain authority score.

For context, Facebook is the #1 most authoritative website on the internet according to Ahrefs backlink data. It has a perfect 100 level of authority thanks to 104 billion unique backlinks.

How to check your site’s Domain Authority

You’re probably wondering what your site’s domain authority is. Here are some ways to find out.

Free tools

These free tools can help you check domain authority quickly.

Mozbar. If you’re searching for a free solution to check a website’s Domain Authority, look no further than Moz’s free Chrome extension, Mozbar.

Ahrefs Authority Checker. Don’t want to install a Chrome extension? Simply copy and paste any URL into Ahrefs Authority Checker here.

Paid tools

These are the professional SEO gold standard tools:

Moz

Ahrefs

SEMrush

Each will be able to provide you with not just the domain authority of any site on the internet, but a ton of other information useful to growing your site as well.

Benefits of high Domain Authority

It is generally accepted by SEO experts that, while you shouldn’t rely on a Domain Authority score as the definitive source of your website’s search engine performance, it often correlates with other SEO indicators, like keyword rankings, average position, and organic traffic.

Even if Google’s not technically looking at domain authority, it would be foolish to write off the metric as useless.

There are also other reasons why domain authority still has a great deal of value to businesses, including…

1. Domain authority increases your chances of ranking

Yes, anomalies do exist, but an overwhelming majority of #1 ranking articles have a higher domain authority than their counterparts.

The theory behind this is that more important websites are likely to receive more links from other websites (i.e., if something were trustworthy and useful, people would reference it. More links = more trust.).

The example below shows the #1 and #2 organic search results for “best vets Dallas.” The first result, Yelp, has an incredibly high domain rating and over 91 million backlinks according to Ahrefs. The second result has a good domain rating and a good amount of backlinks, but it’s difficult to compete with a site like Yelp.

It is not the only algorithm used to decide the order of search results, but it is a significant component of Google’s search ranking system.

2. Helps prioritize outreach and vet link prospects

You’re busy, they’re busy, we’re all busy.

If you want to increase your domain authority and be exposed to a new, engaged audience, you’ll want to get new backlinks to your site. Aside from creating quality content that attracts backlinks, you may also need to be proactive. Reaching out for backlinks can be helpful, but guest posting on high-domain authority sites can help you get backlinks and showcase your expertise.

But where do you start? There are roughly 4.4 million new blog posts published every day. The sites that you want to try and be featured on naturally are the ones that will benefit you the most!

Savvy digital marketers will make a short list of sites they want to reach out to. The ideal outreach list includes sites with not only topical relevance, but…you guessed it, a high domain rating as well.

For example, the WordStream blog has a high domain rating and over 1.5 million backlinks, so they get a lot of outreach about guest posts.

You can use domain authority to identify which sites have the strongest backlink profiles and target them to try and acquire links from your site, improving your own link profile in the process.

3. Increased traffic, referrals, and brand recognition

Of course, you have to work very hard in order to get to this point in the first place, but once you’re at the top of the mountain, everything seems to come just a little bit easier.

High-authority site owners responsible for increasing traffic, referrals, and brand recognition have a much simpler task.

Here are a few examples of how:

Traffic

Sites with high domain ratings will receive more traffic from Google than sites with lower ratings, if only because their content is seen as more relevant and authoritative by their algorithms. Which means their content gets shown to more people.

Additionally, because of their authority, they’ll have a better chance of their new content ranking #1 than their competitors, allowing them to potentially devote resources to other areas of the business, giving them even more of a head start.

The very nature of more people seeing your content, while also being ranked #1 for many searches, means you’re more likely to get linked to more.

Brand recognition

The ever-important aspect of marketing a successful business—building brand recognition—becomes infinitely easier as a result of thousands of more page views, links, and references around the web.

If you’re consistently ranking the first page for important searches performed by your target audience, they’ll quickly begin to notice you and associate you with having a solution to their problems.

Two of these plumbing businesses show up on the first page of Google for multiple relevant searches.

Considering that the more someone is exposed to your business, the more likely they are to become a customer, this is undoubtedly valuable real estate.

How to improve your Domain Authority

Now that we’ve established the importance of having a high domain authority score, here are four ways to improve it.

1. Acquire high-quality backlinks from authority sites

A good rule of thumb for acquiring high-quality backlinks is “quality over quantity.” Do not go out and try to get hundreds of links from low-quality websites and expect them to help your website’s search engine rankings.

Those types of links are considered “low-value” links because they don’t add anything of value to your website (and may even hurt it). Instead, focus on getting high-quality links from authoritative sites that have relevant content related to yours.

From Google’s algorithm’s perspective, if other reputable sites in your niche are linking toward you, that must be a vote of confidence that you are, in fact, credible and worth ranking higher.

The good news is that, once you’re placed prominently on these larger sites, it’s more likely that other sites will see your placement and link to you from them as well.

2. Create link-worthy content

To get your domain authority score up, you need high-value links. To get those you need to create content that is link-worthy in the first place.

Think of the things that you would want to share with your audience. Why would you do that? Because it would be useful to them if they knew about it. It’s the same thing but in reverse.

Start with a topic that is relevant to your business and your target audience, and then create a “linkable asset”—whether it’s the most useful article possible for them in their situation, an infographic, a video, an ebook, or a piece of software. The more useful it is for their audience, the more likely they are to share it.

Source

3. Audit your site and remove bad links

The key to improving your domain authority is to first audit your site and remove bad links.

There are a number of SEO tools that you can use to do this quickly and easily, including Ahrefs, Moz, and SEMRush.

The goal of this audit is to identify any broken links that need to be fixed or unnatural spam links which could hurt you in the eyes of the algorithm.

This includes both repairing broken internal links (i.e., creating a 301 redirect for those on your own site that lead to deleted pages) and disavowing potentially spammy external links.

4. Improve your internal links

Internal links are the glue that holds a website together, and they’re an essential part of SEO.

Internal links are links from one page of your site to another page on your site. They’re how search engines understand the structure of your website. They’re also a great way to improve user experience by helping visitors get around easily.

This article from Purina links to related content on its site.

If you want to improve your internal linking strategy, use Google Search Console to identify your best pages and ensure there are as many internal links (from relevant pages) linking to them as possible.

No page on your site should have zero links pointing toward it. You can use this tool to see where your most important pages are located, so you know where to focus your efforts first.

Domain Authority: The big picture

As you can see, Domain Authority isn’t the end-all-be-all of SEO, but it is a metric that can help you understand how your site is doing in the eyes of Google, and there are very legitimate reasons for taking it seriously.

If you’re looking to move up in the search rankings, managing your DA is a great place to start.

Ultimately, though, remember that you’re trying to solve real human problems for real human readers. Google’s goal is to create a great experience for its users. It will behoove you to make it as easy as possible for them to do just that.

Justin Borge

Other posts by Justin Borge

What Is It Like To Be A Data Scientist In 2023?

Overview

The rise in demand for data scientist continues in 2023 too

Understand what is it like to be a Data Scientist in 2023

Introduction

From big E-commerce companies like Amazon, Walmart, to social media giants Facebook and Snapchat – all the way up to hospital management – everyone is hiring data scientists! But what is it that makes this role the “Sexiest Job Role of the 21st century”? We will discuss each and every aspect of this job in this article.

If you are someone that is excited by this job role and wants to create a future in this field in 2023 then this is the place to be! Don’t worry if you think that the coronavirus has killed the job requirement of a data scientist instead it has made everyone realize the power and importance of predictive algorithms!

If you are beginning your journey in the field of data science, this comprehensive data science learning path for 2023.

The learning path for 2023 is the ultimate and most comprehensive collection of resources put together in a structured manner. This learning path is for anyone who wants to make a career in data science. So whether you are a fresher, have a few years of work experience, or are a mid-level professional – this data science learning path is for you. 

Table of Contents

Who is a data scientist?

Other Data-based roles

Qualities of a data scientist

What skills to master in 2023 to become a data scientist?

Salary of a data scientist

Who is a data scientist?

Data science is a combination of data analysis, algorithmic development and technology in order to solve analytical problems.

A data scientist works on complex and specific problems to bring non-linear growth to the company. For example, making a credit risk solution for the banking industry or use images of vehicles & assess the damage for an insurance company automatically.

In simple words, a data scientist is a problem solver who uses data to solve problems that create business value.

A typical data science project lifecycle looks like this:

Converting the business problem into a data problem

Hypothesis generation

Data collection or extraction

Exploratory Data Analysis and validating hypotheses

Data modeling

Model deployment

Presenting your work to the final user/client/stakeholder

But a data scientist may not be involved in all of these steps. Let’s look at some of the data science-based roles.

Other Data-Based Roles Data Engineer

He would Implement the outcomes derived by the data scientist in production by using industry best practices. For example, Deploying the machine learning model built for credit risk modeling on banking software.

Data Engineers are responsible for storing, pre-processing, and making this data used for other members of the organization. They create the data pipelines that collect the data from multiple resources, transform it, and store it in a more usable form.

Some of the most commonly used tools by data engineers are SQL, NoSQL databases, Apache Airflow, Spark, Amazon Redshift, etc.

You can read Data Engineering articles here and see if your interests correlate more to data engineering.

Business Analyst

Run the business and take decisions on a day-to-day basis. He’ll be communicating with the IT side and the business side simultaneously.

Business Analytics professionals must be proficient in presenting business simulations and business planning. A large part of their role would be to analyze business trends. For eg, web analytics/pricing analytics.

Some of the tools used extensively in business analytics are Excel, Tableau, SQL, Python. The most commonly used techniques are – Statistical Methods, Forecasting, Predictive Modeling, and storytelling.

You can read the business analytics articles here.

So you think that you can become a data scientist? Let’s looks at some of the qualities of a data scientist!

Qualities of a data scientist

Before choosing data science as your field, you must see if it matches your passions, career goals, and make sure it makes you happy in the long term. Let us look at a few of them –

Love Number Crunching – Are you crazy about numbers? Like, are you up for a puzzle, guess-estimates at any time of the day? Are you naturally attracted to probability and statistics? Part of being a data scientist is to frequently crunch numbers, if you love it then you are in luck!

Enjoy solving unstructured problems – It is very rare that a data scientist actually encounters a structured problem statement, instead he deals with unstructured data. Are you someone that aces in this area?

You are curious – asking why comes naturally to a good data scientist. Some of the best data scientists would stop anyone and ask for a rationale if they are not clear – Why did you ask this question? What was your thought process? Why do you assume so? are just a few examples of these questions!

Crave problem-solving – Data Scientists require a knack for problem-solving. Most of the problems businesses would face would be unique to them and it would take a smart solver to solve them.

Enjoy deep research – A great data scientist is always digging deep to understand the hidden secrets of data. You need an outlook of a researcher to be a good data scientist. When was the last time you spent hours and hours immersed in solving a problem? Can you do that again and again?

Love telling Stories – A data scientist needs to be a fluid presenter. What is the use of all the hard work, if he is not able to influence his stakeholders? Communicating with data and presenting stories backed by data is one of the most important elements in the life of a data scientist.

What skills to master in 2023 to become a data scientist?

Data Science Toolkit –  The most important skill to gain at the beginning of your journey as a data scientist is the basics of data science and machine learning. Start from the most common and frequently used data science tools – Python and its libraries such as Pandas, NumPy, Matplolib, and Seaborn. 

Data Visualization and SQL – As you have cleared the basics, you need to begin with the most crucial skillset of a data scientist. Familiarize yourself with different data visualization tools and techniques such as Tableau. During this time, you should also begin your SQL journey.

Data Exploration – The data is hidden with important information. Bringing out this information in the form of insights is data exploration. It is the most essential skill to learn how to explore your data with Exploratory Data Analysis (EDA). Along with this, you will also need to understand the important concepts of statistics required to become a data scientist. 

Basics of Machine Learning and the art of storytelling – Now let’s get down to actual machine learning! After gaining all the above skills, it’s time for to you start your Machine Learning journey. In this duration, you will need to cover basic ML techniques and the art of storytelling using Structured thinking. 

Unsupervised Machine Learning – Dealing with unstructured data can be challenging so let’s jump into the solution! It is time for you to learn about unsupervised machine learning algorithms like K-Means, Hierarchical Clustering, and finally deep dive into a project!

Recommendation engines – Curious how Netflix, Amazon, Zomato give such amazing recommendations? It is time for you to delve into recommendation systems. Learn different techniques to build recommendation engines. Learn using different projects.

Working with Time Series Data – Organizations around the world depend heavily on time-series data and machine learning has made the scenario even more exciting. In this duration, you will learn how to work with Time Series data and different techniques to solve time series related problems.

Introduction to Deep Learning and Computer Vision – Deep Learning and Computer Vision is at the forefront of the most happening projects in the field of AI be it Self driven cars, mask detection cameras, and more. In this time, you will start your journey in the field of Deep Learning. You will learn basic deep learning architectures and then solve different computer vision projects.

Basics of Natural Language Processing – Do you wonder how Social media giants like Twitter, Facebook, Instagram process incoming text data? It is time to move your focus to the field of Natural Language Processing (NLP). Here you will learn more deep learning architectures and solve NLP related projects.

Model Deployment – What is more essential than building a data science model? Deploying it! Now finally you must be aware of model deployment. Learn different ways to deploy your models. You’ll get to spend time on exploring streamlit for model deployment, AWS, and also get to deploy the model using Flask.

A Data scientist’s salary

Making a career switch to data science for getting a salary bump is entirely justified. However, it isn’t as straightforward as you might think. There are certain things, such as work experience and your current domain, that will play a MASSIVE role in deciding your salary post-transition.

Taking figures from the popular and relatively accurate website called Glassdoor, this is what the salary situation looks like for a data scientist:

As you can see, the average salary in 2023 is approximately INR 10,00,000 per year.

If you bring a bit more experience to the table and you have relevant domain experience, you might look at a more senior role (though this is a bit rare if you have no prior data science experience):

As we said, it comes down to how relevant your previous experience is. More often than not, if you are transitioning from another role to data science, you’ll be looking at the first graph.

End Notes

To summarize, Data Science is the most emerging field today and data scientists are creating a better future for humanity. Are you someone that is attracted to this field? I have mentioned all the things you must know before building a career in data science in the year 2023.

Happy Learning!

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Can Machine Learning Be The Best Remedy In The Education Sector?

The classrooms in present era are not only expanding to use more technologies and digital tools but they are also engaging in machine learning Technology in the classroom is becoming more and more popular as we pass through the 21st century. Laptops are replacing our textbooks, and on our smart phones, we can study just about everything we want. Social media has become ubiquitous, and the way we use

Use cases of Machine Learning in education

Analyzing all-round material By making the content more up-to-date and applicable to an exact request, the use of machine learning in education aims to bring the online learning sector to a new stage. How? ML technologies evaluate the content of courses online and help to assess whether the quality of the knowledge presented meets the applicable criteria. On the other hand, know how users interpret the data and understand what is being explained. Users then obtain the data according to their particular preferences and expertise, and the overall learning experience increases dramatically. Customized Learning This is the greatest application of machine learning. It is adaptable and it takes care of individual needs. Students are able to guide their own learning through this education system. They can have their own speed and decide what to study and how to learn. They can select the topics they are interested in, the instructor they want to learn from, and what program they want to pursue, expectations and trends. Effective Grading In education, there is another application of machine learning that deals with grades and scoring. Since the learning skills of a large number of students are expressed in each online course, grading them becomes a challenge. ML technology makes the grading process a few seconds problem. In this context, we talk more about the exact sciences. There are places where teachers cannot be replaced by computers, but even in such situations, they can contribute to enhance current approaches of grading and evaluation.

The classrooms in present era are not only expanding to use more technologies and digital tools but they are also engaging in machine learning Technology in the classroom is becoming more and more popular as we pass through the 21st century. Laptops are replacing our textbooks, and on our smart phones, we can study just about everything we want. Social media has become ubiquitous, and the way we use technology has changed the way we live our lives fully. Technology has become the core component of distance education programs. It enhances teachers and students to digitally interconnect and exchange material and student work, retaining a ‘human link’, which is important for the growth of young minds. Enhanced connections and customized experience can allow educators to recognize opportunities for learning skills and enhance the potential of a student. Hence, the classrooms in present era are not only expanding to use more technologies and digital tools but they are also engaging in machine learning. Machine learning is an artificial intelligence (AI) element, which lets machines or computers learn from all previous knowledge and make smart decisions. The architecture for machine learning involves gathering and storing a rich collection of information and turning it into a standardized knowledge base for various uses in different fields. Educators could save time in their non-classroom practices in the field of education by concentrating on machine learning. For instance, teachers may use virtual helpers to work for their students directly from home. This form of assistance helps to boost the learning environment of students and can promote growth and educational success. According to ODSC , “Last year’s report by MarketWatch has revealed that Machine Learning in education will remain one of the top industries to drive investment, with the U.S. and China becoming the top key players by 2030. Major companies, like Google and IBM, are getting involved in making school education more progressive and innovative.”By making the content more up-to-date and applicable to an exact request, the use of machine learning in education aims to bring the online learning sector to a new stage. How? ML technologies evaluate the content of courses online and help to assess whether the quality of the knowledge presented meets the applicable criteria. On the other hand, know how users interpret the data and understand what is being explained. Users then obtain the data according to their particular preferences and expertise, and the overall learning experience increases chúng tôi is the greatest application of machine learning. It is adaptable and it takes care of individual needs. Students are able to guide their own learning through this education system. They can have their own speed and decide what to study and how to learn. They can select the topics they are interested in, the instructor they want to learn from, and what program they want to pursue, expectations and chúng tôi education, there is another application of machine learning that deals with grades and scoring. Since the learning skills of a large number of students are expressed in each online course, grading them becomes a challenge. ML technology makes the grading process a few seconds problem. In this context, we talk more about the exact sciences. There are places where teachers cannot be replaced by computers, but even in such situations, they can contribute to enhance current approaches of grading and evaluation. According to TechXplore , “Researchers at University of Tübingen and Leibniz Institute für Wissensmedien in Germany, as well as University of Colorado Boulder, have recently investigated the potential of machine-learning techniques for assessing student engagement in the context of classroom research. More specifically, they devised a deep-neural-network-based architecture that can estimate student engagement by analyzing video footage collected in classroom environments. They also mentioned that, “We used camera data collected during lessons to teach a deep-neural-network-based model to predict student engagement levels,” Enkelejda Kasneci the leading HCI researcher in the multidisciplinary team that carried out the study, told TechXplore. “We trained our model on ground-truth data (e.g., expert ratings of students’ level of engagement based on the videos recorded in the classroom). After this training, the model was able to predict, for instance, whether data obtained from a particular student at a particular point in time indicates high or low levels of engagement.”

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