Trending February 2024 # Top 10 Data Science Prerequisites You Should Know In 2023 # Suggested March 2024 # Top 5 Popular

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Data science paves an enticing career path for students and existing professionals. Be it product development, improving customer retention, or mining through data to find new business opportunities, organizations are extensively relying on data scientists to sustain, grow, and stay one step ahead of the competition. This throws light on the growing demand for data scientists. If you, too, are aspiring to become a successful data scientist, you have landed at the right place for we will talk about the top 10 data science prerequisites you should know in 2023. Have a look!

Statistics

As a matter of fact, data science has a lot to do with data. In such a case, statistics turn out to be a blessing. This is for the sole reason that statistics help to dig deeper into data and gain valuable insights from them. The reality is – the more statistics you know, the more you will be able to analyze and quantify the uncertainty in a dataset.

Understanding analytical tools

Yet another important prerequisite for data science is to have a fair understanding of analytical tools. This is because a data scientist can extract valuable information from an organized data set via analytical tools. Some popular data analytical tools that you can get your hands on are – SAS, Hadoop, Spark, Hive, Pig, and R.

Programming

Data scientists are involved in procuring, cleaning, munging, and organizing data. For all of these tasks, programming comes in handy.  Statistical programming languages such as R and Python serve the purpose here. If you want to excel as a data scientist, make sure that you are well-versed in Python and R.

Machine learning (ML)

Data scientists are entrusted with yet another important business task – identifying business problems and turning them into Machine Learning tasks. When you receive datasets, you are required to use your Machine Learning skills to feed the algorithms with data. ML will process these data in real time via data-driven models and efficient algorithms.

Apache Spark

Apache Spark is just the right computation framework you need when it comes to running complicated algorithms faster. With this framework, you can save time a lot of time while processing a big sea of data. In addition to that, it also helps Data Scientists handle large, unstructured, and complex data sets in the best possible manner.

Data Visualization

Yet another important prerequisite for data science that cannot go unnoticed is data visualization, a representation of data visually, through graphs and charts. As a data scientist, you should be able to represent data graphically, using charts, graphs, maps, etc. The extensive amount of data generated each day is the very reason why we require data visualization.

Communication skills

The fact that communication skill is one of the most important non-technical skill that one should possess, no matter what the job role is, goes without saying. Even in the case of data science, communication turns out to be an important prerequisite. This is because data scientists are required to clearly translate technical findings to the other non-technical teams like Sales, Operations or Marketing Departments. They should also be able to provide meaningful insights, hence enabling the business to make wiser decisions.

Excel

Excel is one tool that is extremely important to understand, manipulate, analyze and visualize data, hence a prerequisite for data science. With Excel, it is quite easy to proceed with manipulations and computations that have to be done on the data. Having sound Excel knowledge will definitely help you become a successful data scientist.

Teamwork

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Do You Know What Happened In The Data Science World?

Introduction

The world is becoming more complex than ever. The amount of information generated out there is too much and what we consume is not even equivalent to a dot in the Universe.

And as a Data Science company, Analytics Vidhya understands how difficult it can be to keep up with the news in the Data Science market. So to keep you in the loop and always updated with the current affairs in the data science industry, Analytics Vidhya brings to you its new initiative where we mention the top 5 news of the recent times with verified sources.

So here are the top 5 news that you might have missed-

1. Data of 500 million LinkedIn users Breached

On 9th April 2023, Gadgets360 reports,

“LinkedIn Confirms Data Breach of 500 Million Subscribers, Personal Details Being Sold Online”

As per the news, information like email address, phone number, workplace information, full name, account IDs, links to their social media accounts, and gender details.

Reports say that the breached data is being sold on a hacker forum by an unknown user. The user has dumped data of over two million users as sample proof. The hacker is asking for a four-digit amount (in USD) in exchange for the breached data, potentially in the form of Bitcoins.

2. Streamlit Raises 35 billion in Series B funding

On 7th April 2023, TechCrunch reports

“Streamlit nabs $35M Series B to expand machine learning platform”

This round of investment was led by Sequoia with aid from previous investors Gradient Ventures and GGV Capital.

Reports confirm that Streamlit will utilize this money to scale its team, expand the platform and bring its technology to leading enterprises.

Sonya Huang, the partner at Sequoia and Streamlit board member, said: “The field of data is changing rapidly. Static dashboards are no longer the best way for data scientists to communicate insights and democratize data access. Interactive, data-rich web apps are the future. We believe Streamlit has a unique opportunity to disrupt the $25 billion Business Intelligence market with its open-source and developer-first approach—ultimately, becoming a core piece of the data science and machine learning stack for years to come. We are thrilled to partner with this exceptional team as Streamlit continues to experience wide adoption within the data science community and in the Fortune 1000.”

3. Supreme Court of India launches Artificial Intelligence portal SUPACE

On 7th April 2023, India Today reports,

“Supreme Court embraces Artificial Intelligence, CJI Bobde says won’t let AI spill over to decision-making”.

The SC intends to make use of machine learning to deal with the vast amounts of data received at the time of filing of cases leading to the piling up of whole volumes of cases.

The speeches given by the esteemed judges at the virtual event suggest that SUPACE(Supreme Court Portal for Assistance in Courts Efficiency) will help them “address bottlenecks resulting in excessive delays” and “ease pendency” but will not take decision using the tool.

The prime court of India adopting AI is a clear sign that it does not want the piling up of huge volumes of cases to continue and provide swift justice to the Indian Citizens.

You can watch the virtual launch here-

4. Most Advanced Data Center Platform Launched in India by Intel

On 8th April 2023, Gadgets Now reports,

The new 3rd Gen Intel Xeon scalable processors form the foundation of this data center platform. Intel claims to have improved the workload by an average of 46% by delivering a significant performance increase.

The platform comes with new capabilities including Intel SGX for built-in security, and Intel Crypto Acceleration and Intel DL Boost for AI acceleration.

5. Microsoft Collaborates with Thales Alenia Space for Satellite Image Processing

On 8th April 2023, The Hindu reports,

“Microsoft partners with Aerospace firm for automated satellite image processing”

Microsoft and aerospace firm Thales Alenia Space (TAS) are partnering to embed the latter’s automated image processing solution to Microsoft’s Azure Orbital platform.

With TAS’s DeeperVision, all images downlinked by Earth observation satellites can be immediately and systematically analyzed as soon as they are produced, the aerospace company said in a release.

Tom Keane, CVP of Azure Global at Microsoft says,

“Processing space satellite imagery at cloud-scale changes the game for our customers who need these AI/ML data insights to quickly make informed decisions for mission success”

End Notes

We hope this initiative helps you keep up with the current happenings in the Data Science industry. This news brought in by Analytics Vidhya aims to add value to your data science journey by helping you understand the practical implication of the data science concepts.

Related

Top 10 Cryptocurrencies That You Should Avoid Buying In 2023

In 2023, these are the top 10 cryptocurrencies that you must avoid buying at any cost.

While there are many popular cryptos to buy and many more you should be watching, some cryptos should be avoided at all costs. According to Weiss

Expanse

Expanse has a current supply of 22,845,437 with 18,805,100.19 in circulation. The last known price of Expanse is 0.00967831 USD and is up 0.50 in the previous 24 hours. It is currently trading on 6 active market(s) with $195.98 sold over the last 24 hours.  

Comet

Comet has a current supply of 872,830. The last known price of Comet is 0.00322353 USD and is up 0.22 over the previous 24 hours. It currently trades on 1 active market(s) with $0.00 sold in the previous 24 hours.  

Matchpool

Matchpool has a current supply of 98,855,149.62 with 75,000,000 in circulation. The last known price of Matchpool is 0.00037262 USD and is up 8.65 over the last 24 hours.  

Mixin

Mixin (XIN) bills itself as a free and lightning-peer-to-peer transactional network for digital assets. Leveraging Directed Acyclic Graph (DAG) and Byzantine Fault-Tolerant protocols, Mixin aspires to help other blockchains ‘achieve trillions of TPS, sub-second final confirmations, zero transaction fees, enhanced privacy, and unlimited extensibility.’  

Salus

SaluS has a current supply of 1,012,265.271484 with 0 in circulation. The last known price of SaluS is 4.31392254 USD and is up 0.38 in the previous 24 hours. It is currently trading on 2 active market(s) with $0.00 sold over the last 24 hours.  

PotCoin

PotCoin has a current supply of 227,753,415.28796688. The last known price of PotCoin is 0.00341777 USD and is up 6.69 during the previous 24 hours. It is currently trading on 3 active market(s) with $32.79 changed over the last 24 hours.  

Novacoin

NovaCoin is a peer-to-peer currency based on hybrid Proof-of-Work/Proof-of-Stake block generation methods that enable instant, near-zero cost payments and contribute to the coin’s energy efficiency. Despite a more frequent block generation than Bitcoin, NovaCoin uses a different emission model with lower rewards. This is designed to ensure scarcity and enhance the stock-to-flow value of the coin.  

Auroracoin

Auroracoin (AUR) is peer-to-peer

Quark

Quark has a current supply of 281,318,892.0310575. The last known price of Quark is 0.0024118 USD and is down -30.40 over the previous 24 hours. It is currently trading on 3 active market(s) with $23,529.04 sold over the last 24 hours.  

GameCredits

While there are many popular cryptos to buy and many more you should be watching, some cryptos should be avoided at all costs. According to Weiss Crypto Ratings, cryptocurrencies with low ratings, ranging from E-, E to E+, should be avoided. To put that into perspective, at the time of writing, both Bitcoin and Ethereum have a B+. Here are the top 10 cryptocurrencies that you should avoid buying in 2023.Expanse has a current supply of 22,845,437 with 18,805,100.19 in circulation. The last known price of Expanse is 0.00967831 USD and is up 0.50 in the previous 24 hours. It is currently trading on 6 active market(s) with $195.98 sold over the last 24 hours.Comet has a current supply of 872,830. The last known price of Comet is 0.00322353 USD and is up 0.22 over the previous 24 hours. It currently trades on 1 active market(s) with $0.00 sold in the previous 24 hours.Matchpool has a current supply of 98,855,149.62 with 75,000,000 in circulation. The last known price of Matchpool is 0.00037262 USD and is up 8.65 over the last 24 hours.Mixin (XIN) bills itself as a free and lightning-peer-to-peer transactional network for digital assets. Leveraging Directed Acyclic Graph (DAG) and Byzantine Fault-Tolerant protocols, Mixin aspires to help other blockchains ‘achieve trillions of TPS, sub-second final confirmations, zero transaction fees, enhanced privacy, and unlimited extensibility.’SaluS has a current supply of 1,012,265.271484 with 0 in circulation. The last known price of SaluS is 4.31392254 USD and is up 0.38 in the previous 24 hours. It is currently trading on 2 active market(s) with $0.00 sold over the last 24 hours.PotCoin has a current supply of 227,753,415.28796688. The last known price of PotCoin is 0.00341777 USD and is up 6.69 during the previous 24 hours. It is currently trading on 3 active market(s) with $32.79 changed over the last 24 hours.NovaCoin is a peer-to-peer currency based on hybrid Proof-of-Work/Proof-of-Stake block generation methods that enable instant, near-zero cost payments and contribute to the coin’s energy efficiency. Despite a more frequent block generation than Bitcoin, NovaCoin uses a different emission model with lower rewards. This is designed to ensure scarcity and enhance the stock-to-flow value of the coin.Auroracoin (AUR) is peer-to-peer crypto launched on January 24, 2014, as an Icelandic alternative to bitcoin and the Icelandic króna. The unknown creator or creators used the pseudonym Baldur Friggjar Óðinsson and allocated (pre-mined) half of the 21 million total coins for the 330,000 Icelandic citizens living in Iceland.Quark has a current supply of 281,318,892.0310575. The last known price of Quark is 0.0024118 USD and is down -30.40 over the previous 24 hours. It is currently trading on 3 active market(s) with $23,529.04 sold over the last 24 hours.GameCredits (GAME) is a crypto and operates on the Ethereum platform. GameCredits has a current supply of 200,000,000 with 180,787,394.32143497 in circulation. The last known price of GameCredits is 0.01505345 USD and is down -2.78 over the last 24 hours. It currently trades on 22 active market(s) with $5,781.66 traded over the last 24 hours.

Top 6 Data Science Jobs In The Data

This data science career is doing very well on the market. Data science is making remarkable progress in many areas of technology, economy and commerce. It’s not an exaggeration. It is no surprise that data scientists will have many job opportunities.

It is true. Multiple projections show that the demand for data scientists will rise significantly in the next five-years. It is clear that demand is far greater than supply. Data science is a highly specialized field that requires a passion for math and analytical skills. This gap is perpetuated by the insufficient supply of these skills.

Every organization in the world is now data-driven. Data-driven organizations are the First Five: Google, Amazon, Facebook, Meta, Apple, Microsoft, and Facebook. They aren’t the only ones. Nearly every company in the market uses data-driven decision-making. The data sets can be customized quickly.

Amazon keeps meticulous records of all our choices and preferences in the world of shopping. It customizes the data to only send information that is relevant to the search terms of specific customers. Both the client and the company benefit from this process. This increases the company’s profit and helps the customer by acquiring goods at lower prices than they expected.

Data sets have a wider impact than just their positive effects. Data sets have positive effects on the health sphere by making people aware about critical health issues and other health-related items. It can also have an impact on agriculture, providing valuable information to farmers about efficient production and delivery of food.

It is evident that data scientists are needed around the globe, which makes their job prospects bright. Let’s take a look at some of the most exciting data science jobs available to data scientists who want to be effective in data management within organizations.

Top 6 Data Science Jobs in the Data-driven Industry 1. Data scientists

Average Salary: US$100,000.

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2. Data architects

Average Salary: US$95,000/annum

Roles and Responsibilities This employee is responsible for developing organizational data strategies that convert business requirements into technical requirements.

3. Data engineers

Average Salary: US$110,000 an Year

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4. Data analysts

Average Salary: US$70,000 an Year

Roles and Responsibilities. A data analyst must analyze real-time data using statistical techniques and tools in order to present reports to management. It is crucial to create and maintain a database and analyze and interpret current trends and patterns within those databases.

5. Data storyteller

Average Salary: US$60,000 an Year

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6. Database administrators

Average Salary: US$80,000 an Year

Roles and Responsibilities of a database administrator: The database administrator must be proficient in database software to manage data effectively and keep it up-to date for data design and development. This employee will manage the database access and prevent loss and corruption.

These are only a few of the many data science jobs available to the world. In recent years, data science has been a thriving field in many industries around the globe. In this fast-paced world, data is increasingly valuable and there are many opportunities to fill data-centric roles within reputable organizations.

Top 10 New And Trending Technologies In 2023 You Must Know About

This article enlisted the top 10 new and trending technologies in 2023 you must know about blockchain

Technology is getting better and better and it has only made our lives easier than ever. With every passing day, technology is evolving and that too at a fast pace. Technology has made it extremely convenient for the organizations to reduce costs, enhance customer experiences and increase profits. Also, the onset of the pandemic has boosted businesses’ digital transformation journey in the best possible manner. On the same lines, being well aware about the tech trends for the coming future has got its own benefits. Here, we bring for you a list of top 10 new and trending technologies in 2023 you must know about.

Artificial Intelligence

It has been quite some time that artificial Intelligence has become popular. As a matter of fact, AI is constantly evolving, and newer applications for this emerging technology continue to spring upon the scene. Today, there are countless applications that rely on AI – image and speech recognition, navigation programs, voice assistants like Siri and Alexa, to name a few. No wonder, the coming years will see a lot more dependence on AI.

Edge Computing

These days, we can see millions of data points collecting user information from various sources such as social media, websites, emails, and web searches. This throws light on how exponentially the data collected is increasing. This is why old and traditional computing methods fall short. Well, edge computing to the rescue.

Quantum Computing

Quantum computing, a computing that focuses on developing computer technology based on the principles of quantum theory, has become extensively recognised and popular in no time. Quantum computing stands the ability to perform calculations based on the probability of an object’s state before measurement instead of just 0’s and 1’s. This computing is highly likely to get more recognised in 2023.

5G Technology

Gone are the days when the world was invariably happy with 3G and 4G. Today is the era of 5G. As it has the potential to change the way we see the online world, there’s no looking back. 5G aims to revolutionise our virtual interactions by integrating AR and VR technology and better cloud-based gaming experiences.

Internet of Things

IoT has emerged to become one of the most promising technologies of the decade. Multiple devices or ‘things’ today are wifi-enabled, which means they can be connected to the internet. Devices within the network can communicate with each other, collect data and transfer it across the network without human intervention.

Blockchain

The cryptocurrency market has given importance to blockchain technology like never before. This technology offers security that can be useful in several other ways as well. As this technology is consensus-driven, which means no single person or organisation can take control of the data, it makes it to the list of top tech trends.

VR and AR

Virtual reality and augmented reality are those technologies that have been popular for almost a decade now. Virtual Reality immerses the user into a new environment, on the other hand , Augmented Reality enhances the user’s existing environment. These technologies have profound importance in gaming and filters on social media, simulation software, etc, hence continuing to be a top trend.

RPA Full Stack Development

Full stack development is one of the newest industry trends within the technological space and is all set to gain momentum in 2023 and beyond. It continues to rise as IoT becomes a more mainstream technology with diverse applications. Full stack development covers the front and back-end development of applications and website.

Cybersecurity

Top 10 Tips To Overcome Data Science Imposter Syndrome

It is quite common to find this syndrome in almost every field that one can think of. Data science tends to be no different

Imposter syndrome is that feeling of inadequacy and incompetence which further paves the way for countless issues and problems. Thus, dealing with it and implementing ways to overcome it has become the need of the hour. These days, it is quite common to find this syndrome in almost every field that one can think of. Data science tends to be no different. Considering how important it is to overcome it, we have come up with a list of top 10 tips to overcome data science imposter syndrome. Have a look!

It is absolutely okay to not know everything

As a matter of fact, data science is an ever-changing field where there is a need for new technologies constantly. However, the very realization that your learning curve will get steeper with time plays a vital role. One needs to accept the fact that it is absolutely okay to not know everything about data science. End of the day, you should be in a position to do what’s assigned.

Learn to ask questions

People refrain from asking questions presuming that doing so would make them look silly. Yes, it might be a little scary to ask questions upfront to your teammates and superiors but what is important to note is that it is way sillier if you don’t ask questions. Asking questions is the best way to learn and overcome data science imposter syndrome.

Stop comparing

During our entire lifetime, we have, for once at least, comparing ourselves to others. It’s a natural human tendency. Every person is different and has his/her own strengths and weaknesses. Comparing those to that of yours is something you should stop henceforth.

Be kind to yourself

Yes, competition is at its peak these days. But being harsh on yourself doesn’t work anyway. Just like comparing yourself to others doesn’t make it any easier, so does self-criticism. All this will just add up to the already existing data science imposter syndrome.

Break the silence

Breaking silence is considered to be yet another powerful tool when it comes to overcoming data science imposter syndrome. As you start to feel that you are having a strong emotional reaction, try to describe, or name it – whether to yourself or to others.

Facts and beyond

As far as data science as an industry is concerned, it goes way beyond facts and numbers. Just in case you happen to experience a certain emotion like self-doubt, put it out there and analyze whether what you are feeling is based on facts or based on something else.

Get out of a toxic environment

Get out of a toxic environment

It has been a common observation that someone working in a toxic environment tends to develop every possible trait of imposter syndrome. Toxic environments can have devastating effects which are why getting out of such an environment is critical.

Learning from the failures

There is probably no better way to learn and grow from the failures and mistakes you make. It is through failure that we learn the greatest lessons that life could probably teach us.

Create your own path

Rather than following the path laid by someone else, creating your own path is always appreciated. By doing so, one not only gets to learn various prospects of getting better but also to overcome data science imposter syndrome.

No self-criticism

Self-criticism doesn’t work. This will not lead to any improvement in areas that you think might work. Data science is a field that has a lot to do with data and numbers. The field is such that it requires good analytical skills as well. Here, self-criticism doesn’t seem to be of any use. Rather it adds up to result in a data science imposter syndrome.

Appreciating yourself for all the little achievements

Irrespective of how small or big an achievement is, always celebrate it. This way, you are not only bringing in positivity but also getting closer to getting away from imposter syndrome.

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