There is no better time to learn than now. As the world takes steps towards recovering from the pandemic that has slowed down almost all sectors, it is time to look at the bright side of Covid-19. The pandemic may have brought disasters, but it is also helping us discover new vistas at enhancing our careers.
Online learning-the panacea for the pandemic
Whenever something as profound as the ongoing Covid-19 pandemic wreaks havoc in our lives, the initial reaction is, expectedly, one of despair and panic. This is completely understandable, because the world has not seen such a massive pandemic for over a century.
Agreed, the outlook is gloomy. But then, what differentiates the go-getters from the rest? They look for the light at the end of the tunnel. That light could be something like Simpliv Learning, a platform for online learning. Why is this the light at the end of the tunnel? Simply because it is what we all need more than anything else now.
A beacon of hope for these bad times
Simpliv Learning is a Fremont, CA-based learning platform. For the four years from its inception, it has aimed at offer to learners from across the world, irrespective of their age, geographical location, financial status, and other factors, the precise and focused learning that they need from time to time. This is why it is the platform that everyone should be turning to during these times, just when organizations are looking for the extra learning and skill from its employees to tide over these difficult times.
Simpliv Learning has been created with the purpose of arming every person in every part of this world, the skill and learning needed to raise the bar in her profession, and in life. This is why it offers courses that are as overwhelmingly comprehensive as these:
All Development
Database
IT & Software Systems
Health & Vigor
Individual Development
Productive Expertise & Efficiency
Marketing
Language & Vocabulary, and lots, lots more.
With these courses, learners will be able to:
Augment their knowledge and grow in their careers
Make their profile more attractive to their employers
Better their chances at the job market
Increase the knowledge they have of any topic of interest.
While the selection and spread of these topics is in itself impressive, Simpliv Learning’s other features include:
Highly affordable courses, which start from as less as $10
Well-established experts who bring tremendous experience in their fields
Certification, which helps them gain credibility in their work
Access from anywhere in the world, a bonus in the present-day situation, and
Freedom of completing the courses at their own pace.
With outstanding features like these, Simpliv Learning offers the hope that not everything is lost. Any wonder, then, that it is trusted by companies as prestigious as:
Accenture
Apple
Capgemini
NASA
ComCast
Dell
HP
Equifax?
We are proud to mention that we have been a member of AWS EdStart program since November 2020! We are happy to be part of the AWS EdStart program.
We have partnered with this prestigious program to launch more services that add more value to our upcoming products and applications. In addition to accelerating our growth in the MOOC market by enabling us to reach more customers via its EdStart Program, AWS has also benefited a startup company like us in other ways, such as giving us the option to utilize credits for using more services.
We are using EdTech to launch our B2B products, which will help our customers have access to more services for B2B products. Large type of Ec2 instance, Elastic Load Balancer, Snapshots, SQS, SNS, RDS, and Lambda Function for Serverless Architecture are some of these.
Needless to say, we are excited to be part of this partnership. We look forward to using and continuing with AWS in the future. In all, this partnership has added further credibility to the brand Simpliv.
Want to see how Simpliv Learning can make a difference to your career, your organization, or your life? Just visit us today!
Nobody knew how 2020 would end when it started. The coronavirus pandemic has forced businesses to adopt digital transformation more than ever before. The number of businesses that have moved online in the past six months alone is more than those in the last decade.
Technology today is evolving at such a rapid pace, enabling faster change and progress, causing an acceleration of the rate of change, until eventually it will become exponential. However, it is not only technology trends and top technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contactless world tomorrow. And an IT professional in 2020-21 will constantly be learning, unlearning and relearning (out of necessity if not desire).
What does this mean for you? It means staying current with new technology trends. And it means keeping your eyes on the future to know which skills you’ll need to know to secure a safe job tomorrow and even learn how to get there. All bows to the worldwide pandemic, most of the global IT population is sitting back, working from home. And if you wish to make the most of your time at home, here are top 20 new technology trends you should watch for and make an attempt at in 2021, and possibly secure one of the jobs that will be created by these new technology trends.
There’s a lot at stake for 2021. The question is whether mainstream technologies such as data analytics and AI will remain a force. Or will we see newer forms of technology dominating the year? Even if time is the sole judge and determinant, here are possible technology trends we believe will dominate 2021:
1. 5G Will Go Mainstream
All that talk and hype around 5G will become real in 2021. The need for a reliable and fast connection became urgent only a few months earlier. When digital collaboration, remote work, and videoconferencing became a part of our lives, we had to get ways to boost speed.
It was already clear enough for telecommunication companies that 5G was the way to go. The deployment of this technology will be important for different tools like IoT. About 51% of companies using IoT have noted an improved insight into customer needs, behaviors, and preferences. The value of 5G, therefore, will skyrocket in 2021.
2. Artificial Intelligence (AI) and Machine Learning
Robot on blurred background creating artificial intelligence in a digital brain 3D rendering
Artificial Intelligence, or AI, has already received a lot of buzz in the past decade, but it continues to be one of the new technology trends because of its notable effects on how we live, work and play are only in the early stages. AI is already known for its superiority in image and speech recognition, navigation apps, smartphone personal assistants, ride-sharing apps and so much more.
Other than that AI will be used further to analyze interactions to determine underlying connections and insights, to help predict demand for services like hospitals enabling authorities to make better decisions about resource utilization, and to detect the changing patterns of customer behaviourby analyzing data in near real-time, driving revenues and enhancing personalized experiences.
The AI market will grow to a $190 billion industry by 2025 with global spending on cognitive and AI systems reaching over $57 billion in 2021. With AI spreading its wings across sectors, new jobs will be created in development, programming, testing, support and maintenance, to name a few. On the other hand AI also offers some of the highest salaries today ranging from over $1,25,000 per year (machine learning engineer) to $145,000 per year (AI architect) – making it the top new technology trend you must watch out for!
Machine Learning the subset of AI, is also being deployed in all kinds of industries, creating a huge demand for skilled professionals. Foresterpredicts AI, machine learning, and automation will create 9 percent of new U.S. jobs by 2025, jobs including robot monitoring professionals, data scientists, automation specialists, and content curators, making it another new technology trend you must keep in mind too!
3. Customer Data Platforms (CDP)
In the last few months, we have witnessed a rise in customer data platforms (CDP). It’s not easy to organize fragmented data from multiple sources. To operate efficiently, you’ll need well-curated and timely operations.
In a recent study, an estimated $3 trillion goes down the drain annually due to bad data. Therefore, it’s quite imperative that you address this problem early as a company. Luckily, CDPs help to solve this problem by collecting data from all sources. They then organize it, tag it, and make it usable.
4. Robotic Process Automation (RPA)
Like AI and Machine Learning, Robotic Process Automation, or RPA, is another technology that is automating jobs. RPA is the use of software to automate business processes such as interpreting applications, processing transactions, dealing with data, and even replying to emails. RPA automates repetitive tasks that people used to do.
Although Forrester Research estimates RPA automation will threaten the livelihood of 230 million or more knowledge workers, or approximately 9 percent of the global workforce, RPA is also creating new jobs while altering existing jobs. McKinsey finds thatless than 5 percent of occupations can be totally automated, but about 60 percent can be partially automated.
For you as an IT professional looking to the future and trying to understand new technology trends, RPA offers plenty of career opportunities, including developer, project manager, business analyst, solution architect and consultant. And these jobs pay well. An RPA developer can earn over ₹534K per year – making it the next technology trend you must keep a watch on!
5. Internet of Behaviors(IoB)
IoB is an upcoming trend that you’ll hear more of in 2021. Companies and businesses are taking advantage of technology to monitor consumer and customer behaviors. Some of the effective technological tools here include location tracking, big data, and facial recognition.
According to a prediction by Gartner, more than half of the global population will be under an IoB tool by 2025.
6. Edge Computing
Formerly a new technology trend to watch, cloud computing has become mainstream, with major players AWS (Amazon Web Services), Microsoft Azure and Google Cloud Platform dominating the market. The adoption of cloud computing is still growing, as more and more businesses migrate to a cloud solution. But it’s no longer the emerging technology trend. Edge is.
As the quantity of data organizations are dealing with continues to increase, they have realized the shortcomings of cloud computing in some situations. Edge computing is designed to help solve some of those problems as a way to bypass the latency caused by cloud computing and getting data to a datacenter for processing. It can exist “on the edge,” if you will, closer to where computing needs to happen. For this reason, edge computing can be used to process time-sensitive data in remote locations with limited or no connectivity to a centralized location. In those situations, edge computing can act like mini datacenters.
Edge computing will increase as use of the Internet of Things (IoT) devices increases. By 2022, the global edge computing market is expected to reach $6.72 billion. And this new technology trend is only meant to grow and nothing less, creating various jobs, primarily for software engineers.
7. Cybersecurity Mesh
With the cybersecurity mesh, you can access any digital security asset – no matter its location. The benefit of this technology is that it allows people to place the security wall around individuals rather than the entire organization.
The sudden rise in remote workforces and cloud technology has affected the security of company assets outside the company’s perimeter. Thanks to the help of the cybersecurity mesh, the security perimeter goes beyond and covers individuals working remotely.
8. Quantum Computing
Next remarkable technology trend is quantum computing, which is a form of computing that takes advantage of quantum phenomena like superposition and quantum entanglement. This amazing technology trend is also involved in preventing the spread of the coronavirus, and to develop potential vaccines, thanks to its ability to easily query, monitor, analyze and act on data, regardless of the source. Another field where quantum computing is finding applications is banking and finance, to manage credit risk, for high frequency trading and fraud detection.
Quantum computers are now a multitude times faster than regular computers and huge brands like Splunk, Honeywell, Microsoft, AWS, Google and many others are now involved in making innovations in the field of Quantum Computing. The revenues for the global quantum computing market are projected to surpass $2.5 billion by 2029. And to make a mark in this new trending technology, you need to have experience with quantum mechanics, linear algebra, probability, information theory, and machine learning.
9. Virtual Reality and Augmented Reality
The next exceptional technology trend – Virtual Reality (VR) and Augmented Reality (AR), and Extended Reality (ER). VR immerses the user in an environment while AR enhances their environment. Although this technology trend has primarily been used for gaming thus far, it has also been used for training, as with VirtualShip, a simulation software used to train U.S. Navy, Army and Coast Guard ship captains.
In 2021, we can expect these forms of technologies being further integrated into our lives. Usually working in tandem with some of the other new technologies we’ve mentioned in this list, AR and VR have enormous potential in training, entertainment, education, marketing, and even rehabilitation after an injury. Either could be used to train doctors to do surgery, offer museum goers a deeper experience, enhance theme parks, or even enhance marketing, as with this Pepsi Max bus shelter.
Fun fact: 14 million AR and VR devices were sold in 2019. The global AR and VR market is expected to grow to $209.2 billion by 2022, only creating more opportunities in the trending technology, and welcoming more professionals ready for this game-changing field.
While some employers might look for optics as a skill-set, note that getting started in VR doesn’t require a lot of specialized knowledge – basic programming skills and a forward-thinking mindset can land a job; another reason why this new technology trend should make up to your list of lookouts!
10. Total Experience
Often abbreviated as TX, the total experience goes side by side with the customer experience, user experience, and employee experience. As most of the interactions today are virtual, distributed, and mobile, it’s important to use the TX strategy even more.
Already, the COVID-19 pandemic has forced a new norm in collaborations. And that’s why you need to bring together the customers and employees.
11. Intelligent Composable Business
This trend focuses on taking advantage of packaged business capabilities. You can develop it through vendors or do it in-house. ICB helps to bring different things together, including better access to changing data, better decision making, and application delivery.
12. Blockchain
Although most people think of blockchain technology in relation to cryptocurrencies such as Bitcoin, blockchain offers security that is useful in many other ways. In the simplest of terms, blockchain can be described as data you can only add to, not take away from or change. Hence the term “chain” because you’re making a chain of data. Not being able to change the previous blocks is what makes it so secure. In addition, blockchains are consensus-driven, so no one entity can take control of the data. With blockchain, you don’t need a trusted third-party to oversee or validate transactions.
Several industries are involving and implementing blockchain, and as the use of blockchain technology increases, so too does the demand for skilled professionals. From a birds eye view, a blockchain developer specializes in developing and implementing architecture and solutions using blockchain technology. The average yearly salary of a blockchain developer is ₹469K.
If you are intrigued by Blockchain and its applications and want to make your career in this trending technology, then this is the right time to start. To get into Blockchain, you need to have hands-on experience of programming languages, the fundamentals of OOPS, flat and relational databases, data structures, web app development, and networking.
13. Hybrid Cloud
Most businesses are moving towards the hybrid cloud model. The reason is simple – the hybrid cloud is more convenient. It helps businesses to strike a balance for their distinct cloud infrastructural needs.
Most of the giant public cloud providers have started focusing on the hybrid cloud. Some of them include Amazon Web Services(AWS), Google Cloud, Azure, Oracle, and IBM. All of this aims at dealing with different customer challenges including:
Privacy
Security and compliance.
Exponential data growth.
14. Privacy and Confidential Computing
It involves the encryption of the entire computing process and not only the data. This creates extra layers of security that help to protect sensitive information. We should expect more of privacy and confidential computing in action come 2021.
15. Internet of Things (IoT)
Another promising new technology trend is IoT. Many “things” are now being built with WiFi connectivity, meaning they can be connected to the Internet—and to each other. Hence, the Internet of Things, or IoT. The Internet of Things is the future, and has already enabled devices, home appliances, cars and much more to be connected to and exchange data over the Internet.
As consumers, we’re already using and benefitting from IoT. We can lock our doors remotely if we forget to when we leave for work and preheat our ovens on our way home from work, all while tracking our fitness on our Fitbits. However, businesses also have much to gain now and in the near future. The IoT can enable better safety, efficiency and decision making for businesses as data is collected and analyzed. It can enable predictive maintenance, speed up medical care, improve customer service, and offer benefits we haven’t even imagined yet.
And we’re only in the beginning stages of this new technology trend: Forecasts suggest that by 2030 around 50 billion of these IoT devices will be in use around the world, creating a massive web of interconnected devices spanning everything from smartphones to kitchen appliances. The global spending on the Internet of Things (IoT) is forecast to reach 1.1 trillion U.S. dollars in 2022. New technologies such as 5G is expected to drive market growth in the coming years.
And if you wish to step foot in this trending technology, you will have to learn about Information security, AI and machine learning fundamentals, networking, hardware interfacing, data analytics, automation, understanding of embedded systems, and must have device and design knowledge.
16. Smart Work from Home Technologies
The coronavirus pandemic has shifted the way we do things and carry out business. Initially, it would be radical to allow employees to work from home on a large scale. Even when employees were asking for enhanced work flexibility, it was never to be.
The current lockdowns have led to the common acceptance of the work from home formulas. And many pundits argue that this work-from-home policy will outlast the pandemic. We have seen many tech giants extending the work from home flexibility to their staff. Some like Twitter have even given their employees the option of working from home entirely for the rest of their working careers.
Part of what made all this a reality is the deployment of smart work from home tools such as WebEx, Zoom, and Microsoft Teams. Such apps have witnessed massive usage over the past few months, and this is expected to continue even in 2021.
17. Hyperautomation
Robotic process automation(RPA) was a major technology tool that companies have had their focus on. Now, it has moved from task-based automation to process-based automation. The magnitude of automation is set to go even higher as Hyperautomation increases in the coming year.
18. Distributed Cloud
This involves the spreading of public cloud services to different physical locations. However, the evolution, governance, and operations of the services remain at the public cloud provider. By 2025, Gartner predicts that most cloud service providers will provide a number of distributed cloud services.
19. Cyber Security
Cyber security might not seem like an emerging technology, given that it has been around for a while, but it is evolving just as other technologies are. That’s in part because threats are constantly new. The malevolent hackers who are trying to illegally access data are not going to give up any time soon, and they will continue to find ways to get through even the toughest security measures. It’s also in part because new technology is being adapted to enhance security. As long as we have hackers, cybersecurity will remain a trending technology because it will constantly evolve to defend against those hackers.
As proof of the strong need for cybersecurity professionals, the number of cybersecurity jobs is growing three times faster than other tech jobs. Also, the need for proper cyber security is so high that by 2021, $6 trillion will be spent globally on cybersecurity.
You must note that however challenging the field is it also offers lucrative six-figure incomes, and roles can range from ethical hacker to security engineer to Chief Security Officer, offering a promising career path for someone who wants to get into and stick with this evergreen trending technology.
20. Device Form Factors
The current customer needs include small, light, and effective devices. Therefore, manufacturers are heading to the call by providing hybrid devices that double up as phones and tablets. For instance, the Samsung Galaxy Fold 2 does this quite well. 2021 will see a return of stronger and more efficient folding and unfolding devices.
21. Quantum Computing
Quantum computing has helped in the management of COVID-19 in terms of managing the spread, looking for possible vaccines, and the development of therapeutics. As people continue to realize the power of quantum computing, we are more likely to witness its application in many industries in 2021 and beyond.
22. Anywhere Operations
This IT operating model supports customers everywhere. It also enables employees anywhere in addition to enabling the deployment of business services across distributed infrastructure.
Although technologies are emerging and evolving all around us, these top 20+ Technology trends promising career potential now and for the foreseeable future. And most of these trending technologies are welcoming skilled professionals, meaning the time is right for you to choose one, get trained, and get on board at the early stages of these trending technologies, positioning you for success now and in the future.
For movie buffs, the work that the factory machines do in Charlie Chaplin’s 1936 classic, Modern Times, may have seemed too futuristic for its time. Fast forward eight decades, and the colossal changes that Artificial Intelligence is catalyzing around us will most likely give the same impression to our future generations. There is one crucial difference though: while those advancements were in movies, what we are seeing today are real.
A question that seems to be on everyone’s mind is, What is Artificial Intelligence? The pace at which AI is moving, as well as the breadth and scope of the areas it encompasses, ensure that it is going to change our lives beyond the normal. The thing with AI is that it can bring about developments in a very fundamental manner into the activities we are accustomed to carrying out in our daily lives, from the way we watch movies to how we learn.
The applications of AI are not limited to a single field or industry. A selection of just some of the sectors on which AI is making an unprecedented and irreversible impact:
Information Technology
EdTech Industry
Agriculture
Automobile
Manufacturing
Retail, and many more.
In this blog, let us examine a selection of 8 AI applications and 7 trends that show immense potential for changing the very manner in which our lives will be led in the future.
Just as we start, let me lead you into a very useful online course on Artificial Intelligence which will enhance your understanding of this technology, and is aimed precisely at those who want to learn Artificial Intelligence.
Expand the depths of your knowledge in your area of expertise by becoming an author with us! Simpliv offers abundant opportunities for you to sharpen your teaching skills, pursue your passion, and become part of its global pool of experts.
Choose from the expansive array of topics that interest you. Simpliv has courses on any topic that could interest the human mind. This is a wonderful opportunity to become popular with our community of learners.
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Your interest could be on any topic ranging from photography to geology or from food to Python programming and many more.
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Earn money and Become famous among students all over the globe.
Amazon Web Service (AWS) is a broad concept. AWS is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered Pay-As-You-Go Basis (PAYG). Today, AWS is considered one of the best-in-market providers of Infrastructure as a Service (IaaS). It has spread to over190 countries from the time it was launched.
The main benefits of Amazon Web Services are that it is reliable, easily scalable, and inexpensive. One can join it for Free and pay only for what they use!
Now, you might be curious to know what AWS is and what it does. So, read further to unwind this concept.
Topics that we will be discussed in this blog are as follows:
What is Amazon Web Services (AWS) and What Does It Do?
What is AWS Certification?
How Do I Become AWS Certified?
AWS Certificate Path
Let’s get started!
What is Amazon Web Services (AWS) and what does it do?
Amazon Web Services, called AWS in short, is a comprehensive, easy to use computing platform that is provided by Amazon. It is a secure cloud service platform that offers a range of features such as computing power, database storage, content delivery, plus many other functionalities that help businesses to scale and grow.
Traditionally, companies were dependent on in-house Servers which were very expensive and had limited functionalities. As those companies attained growth, they would need more in-house servers and a complex system to maintain them. Having a huge storage system inhouse would mean huge costs. Building a limited storage system was disastrous if the company took off, as the costs would escalate if the needs increased.
AWS has addressed all these problems. Where you can buy storage as per your current needs and scale it on the go! With AWS, companies pay for what they use. They don’t have to face a huge upfront cost to build a storage system which may not be utilized immediately. AWS customers have the flexibility to use services as per their needs and scale them as they grow.
Comparison between R and Python on the basis of following:
Ease of Installation
Robustness and Flexibility
Ease of Learning
Speed of Processing
Statistical and Analytics Ability
Suitable Area
Reasons to Learn R and Python
Which is Better for Data Analysis and Data Science?
Is Python better than R?
Real-life Use Cases of R and Python
Career Opportunities in R and Python
Which Language to Go First?
What are R and Python?
R is an open-source programming language developed for statistical analysis and computations.
Like R, Python is also an open-source programming language that was initially developed as a general-purpose programming language, and later branched out to be a language for Statistical AnalysisandMachine Learning Modeling.
Let’s understand the difference between these two highly popular Data Science languages:
Ease of Installation
Well to start with, R packages are solely managed by CRAN(The Comprehensive R Archive Network) repository that manages the updated versions, their installations, and related documentation of R Packages. All the packages you install in R are stored in CRAN. Also, any new package to be added in R should be submitted to CRAN. Currently CRAN has over 16000 additional statistical packages. This is why it is easier to install R.
On the other hand, Python has two package management platforms, Conda and PyPI (Python Package Index) that include over 100k Python packages. There have been inconsistencies found in Packages, Libraries, and Versions while installing Python due to two repositories. Due to this reason, it is a little tedious to install Python.
I will start this blog with a piece of advice: DON’T read it. That is, if you are either of these: Donald Trump, Tom Hanks, LeBron James, Leonardo DiCaprio, Roger Federer, The Beard, Brad Pitt, Steph Curry, Angelina Jolie, Kim Kardashian, Rafael Nadal, et al!
The personalities mentioned here are some of the one-in-a-million people that don’t need a resume because their name is enough. However, for you and me, a resume is our professional identity. It is that succinct, valuable document that will drive our chances of getting selected for a job of our choice.
This blog is for those among you who face these challenges:
You are convinced that you have a great professional profile, but are frustrated at not getting interview calls
You believe that you have given a good account of your professional profile in your resume, but are not getting noticed by employers and job portals
You are unable to describe all your career highlights and accomplishments in a manner that enables your resume to stand out and get noticed
You are seriously wondering if you need to hire the services of resume writing companies to make your resume more appealing.
This blog will explain the elements and dynamics of a resume that employers cannot take their eyes off. I intend to help you address the issues you may have, such as those listed above, or related ones. I am confident that by the time you have read this blog, you will gained a thorough perspective of what it takes to craft a resume that can no longer be ignored.
Let us get started, then! Let us start by getting an understanding of what a resume is, which will serve as the basis for getting a grasp of how to write one that will land you the job you are looking for.
In the process, you will learn some of the most crucial aspects of rules and conventions concerning how to write a resume that is not only proper and relevant to your profile, but also increases your chances of getting noticed and fished out from among a heap of competing ones.
We will be covering the following topics:
What is the difference between a Resume and a CV?
What is the difference between a CV and cover letter?
What Is the Purpose of Writing A Resume and Why It Is Important?
How to Write A Resume?
How to Write a Cover Letter?
Most Important Resume Sections
How to Tell Your Story on LinkedIn?
Various Resume Formats
What are the common mistakes of a resume? Top Red Flags
Outdated Resume rules you need to stop following
How to Write a Resume That Stands Out |17 Simple Steps
Bonus Resume Writing Tips
The resume is the most accurate and visible face of whatever you are as a professional. The world may recognize a DiCaprio by his face and a Kim Kardashian by something else, but where the average person is concerned, the resume is the mirror that you hold out to your prospective employer. Or, for that matter, anyone that could have a stake in your role and performance as a professional, such as an investor, incubator, mentor, etc.
Join this FREE webinar if you are anyone from below:
You are a beginner or a fresher who is aspiring to make a dream career in the field of Data Science.
You want to learn what you need to do to get a job as a data scientist.
You have no prior experience and want to get started with Data Science.
You are not sure if you have the right skillset to make it big in the field of Data Science.
You want to know top mistakes to avoid and gain edge on your competition.
You are looking to gain the knowledge to choose best career path for you.
You will also understand how come there is a shortage of Data Scientists in companies when everybody, even a non-technical person, is trying to become a data scientist today.
Join the Free Webinar To get expert insights on what can make you a better data scientist than other applicants?
Course Objective
How Is Data Science Shaping The Future?
How to Know if Data Science is Right Field for You?
Top 3 Data Science Careers Options for You.
How to Make It in The Data Science Field?
Key Mistakes You Should Avoid.
What Key Skills You Need to Focus On?
What Type of Background Can Give You An Edge?
How to Overcome Gaps in Your Experience & Resume?
Job Market & Career Outlook …and more!
Who is the Target Audience?
Freshers or beginners who wants to make career in Data Science
I will start this blog with a piece of advice: DON’T read it. That is, if you are either of these: Donald Trump, Tom Hanks, LeBron James, Leonardo DiCaprio, Roger Federer, The Beard, Brad Pitt, Steph Curry, Angelina Jolie, Kim Kardashian, Rafael Nadal, et al!
The personalities mentioned here are some of the one-in-a-million people that don’t need a resume because their name is enough. However, for you and me, a resume is our professional identity. It is that succinct, valuable document that will drive our chances of getting selected for a job of our choice.
This blog is for those among you who face these challenges:
You are convinced that you have a great professional profile, but are frustrated at not getting interview calls
You believe that you have given a good account of your professional profile in your resume, but are not getting noticed by employers and job portals
You are unable to describe all your career highlights and accomplishments in a manner that enables your resume to stand out and get noticed
You are seriously wondering if you need to hire the services of resume writing companies to make your resume more appealing.
This blog will explain the elements and dynamics of a resume that employers cannot take their eyes off. I intend to help you address the issues you may have, such as those listed above, or related ones. I am confident that by the time you have read this blog, you will gained a thorough perspective of what it takes to craft a resume that can no longer be ignored.
Let us get started, then! Let us start by getting an understanding of what a resume is, which will serve as the basis for getting a grasp of how to write one that will land you the job you are looking for.
In the process, you will learn some of the most crucial aspects of rules and conventions concerning how to write a resume that is not only proper and relevant to your profile, but also increases your chances of getting noticed and fished out from among a heap of competing ones.
We will be covering the following topics:
What is the difference between a Resume and a CV?
What is the difference between a CV and cover letter?
What Is the Purpose of Writing A Resume and Why It Is Important?
How to Write A Resume?
How to Write a Cover Letter?
Most Important Resume Sections
How to Tell Your Story on LinkedIn?
Various Resume Formats
What are the common mistakes of a resume? Top Red Flags
Outdated Resume rules you need to stop following
How to Write a Resume That Stands Out |17 Simple Steps
If you are someone who wishes to make a career in Data Science, then the ultimate question you have to face is, which programming language you should learn and why? There have been numerous discussions on public forums with people advocating for R or Python for plenty of reasons.
Though it completely depends on your choice, comparing both the languages on some grounds will surely help you make the right decision.
What are R and Python?
R is an open-source programming language developed for statistical analysis and computations.
Like R, Python is also an open-source programming language that was initially developed as a general-purpose programming language, and later branched out to be a language for Statistical AnalysisandMachine Learning Modeling.
Let’s understand the difference between these two highly popular Data Science languages:
Ease of Installation
Well to start with, R packages are solely managed by CRAN(The Comprehensive R Archive Network) repository that manages the updated versions, their installations, and related documentation of R Packages. All the packages you install in R are stored in CRAN. Also, any new package to be added in R should be submitted to CRAN. Currently CRAN has over 16000 additional statistical packages. This is why it is easier to install R.
On the other hand, Python has two package management platforms, Conda and PyPI (Python Package Index) that include over 100k Python packages. There have been inconsistencies found in Packages, Libraries, and Versions while installing Python due to two repositories. Due to this reason, it is a little tedious to install Python.
Want to read about Python in detail? Read this riveting blog!
Robustness and Flexibility
R has all the features that Python has in terms of programming ability, statistical computing and modeling, but Python is more flexible and robust. Python is a better option when it comes to integrating it with web applications and production.
However, R is less robust and versatile, which is why it is limited to statistical computing and mathematical modeling.
Ease of Learning
One of the most frequently asked questions is “Which between R and Python is easy to learn?”.
Both R and Python have almost similar features, but when it comes to syntax, R is a little complicated and is better for someone who is already familiar with other programming language. On the other hand, Python has a relatively simpler and readable syntax and hence, for anyone who is about to start-off with a programming language, Python is a good option.
However, when the model building becomes complicated, it requires someone who is proficient in Python.
Speed of Processing
Usually Python is 8 times faster than R till there are up to 1000 iterations. When the number of iterations increases, R typically surpasses Python’s speed. In comparison to Python, R requires more lines of codes to perform a certain task, which make the programs more complex and bulkier.
Statistical and Analytics Ability
R was designed for statistical computation and Modeling purposes and hence it performs better for any level of complex computation. R has better statistical packages and libraries for dashboard than Python. Python being a general programming language somehow lacks the packages and libraries for Data Science. Python is better suited for modeling and machine learning, which is complicated in R.
Suitable Area
The focus of R is primarily into statistical analysis and hence it is better suited to academia and research. On the other hand, Python being the programming language for all purposes is suitable for tech industry. However, Python also comes with packages that can create an environment similar to R.
There are plenty of other grounds that differentiate R from Python. The following table will further clarify that!
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