Top-data-science-courses-and-workshops-2022

Top Data Science Courses and Workshops to see (2022)

Why is it important to know Data Science courses and workshops? The most valuable asset of the present and the future is information. We generate data through our searches, consumption, locations, interactions, and other actions that we all have daily on the Internet. 

Information has revolutionized the world since the arrival of search engines like Google and social networks. That is why whoever wants to capitalize on a market must collect data about their customers, but it is necessary to know what to do with it too. 

This is how data science became one of the most decisive disciplines for the commercial area of all industries in the world. Its mix of technology and software development makes the discipline challenges. 

We created a compendium of top Data Science courses and workshops that we consider valuable for anyone interested in data science because of:

✅Have a digital business

✅Plans to have one

✅Is a digital freelancer

✅IT or Marketing Manager 

✅The leader within a company

✅Participate in decision making

✅Or even want a promotion, making the company you are part of more and more PRODUCTIVE.

But first, let’s talk about what is data science?

It is an artificial intelligence technique where large volumes of information are collected and analyzed and then is determined the best way to handle and interpret it.

What is the purpose of data science?

Discover trends, predict the future, and anticipate it with strategic decisions.

This discipline combines software development techniques, computation, probabilities, management, and even new technologies such as machine learning.

It is presumed that specialists in this field will be the most demanded in a few years, along with software developers and marketers.

Suppose you do not want to be one of them, but you are part of a company. In that case, you must know about data science to take advantage of its potential or hire the right person who will take the productivity of your business to stratospheric levels with the help of the data management of your customers.

As we are clear about the importance of knowledge, we continue to move forward with the proposals you can get today in the data science training market. ​⬇️​

Top 5 Data Science Courses and Workshops this 2022

Data Science Specialization – JHU – Coursera

John Hopkins University supports this training.

There are ten introductory courses to data science as a discipline.

You will learn:

The entire data science process, from acquisition to publication.

You will learn about the Github repository to manage data science projects. And perform regression analysis, least squares, and inference using regression models.

You will learn basic concepts, the right questions to ask to drive the process, and the necessary tools. And you will develop a final project to apply all the skills learned by building a data product using real-world data.

In the end, you will be able to use this first project as a portfolio.

Introduction to Data Science for Metis

Although this course is introductory, it requires participants to have basic knowledge of Python and be familiar with the basic concepts of statistics and linear algebra, such as mean, median, mode, standard deviation, correlation, and the difference between a vector and a matrix.

This is a Bootcamp where you will learn the basics of data science, the leading technologies, the principles of machine learning, and even have a simple but practical coding experience.

It is designed for six weeks and is 100% online.

Like the previous one, you will develop a final project, which you can use as a portfolio.

Data Science: Machine Learning

This course is endorsed by Harvard University.

This introductory course is part of the university’s Data Science Professional Certification Program. In it, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

Its focus is on machine learning under the same logical scheme that data solutions are built.

You will learn about training data and how to use a dataset to discover potentially predictive relationships.

You will also learn about overtraining and techniques to avoid it, such as cross-validation.

The duration is 8 weeks at 2-4 hours per week.

Do you motivated to give it a try?

Introduction to Machine Learning Course

As we mentioned in the previous course, machine learning principles are related to data science. In fact, it is advisable to learn both together to understand the processes better.

Therefore, we did not want to overlook a course on this discipline in our list of recommendations.

You will learn the complete data research process through a machine learning lens. You will be able to extract and identify useful features that better represent your data, some of the essential machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.

This is a free, 10-week beginner course sponsored by UDACITY.

1st steps in Data Science, ML & AI | Free Workshop | Dividev

We could not leave out our Workshop on Data Science, Machine learning, and AI, all fundamental concepts related to the predictive analysis of data and a company’s success.

Our specialists prepared ten videos in which you can learn basic concepts of these disciplines. Application models, technologies, and many valuable tools to start your career as an analyst and data scientist, or even make the right decision about the team you will have in your company.

As we commented before, it is not depreciable knowledge because it represents the present and future productivity of many companies.

To be able to predict your customers’ behavior to offer them solutions.
Anticipate some changes in the industry to make strategic decisions that will help you be more efficient in your processes.

These are just some of the advantages we want you to take advantage of with our Workshop.

You can enjoy it HERE.

Data science applies to all industries without exception.

Imagine being able to predict another pandemic and, this time, being prepared? That’s the power of data science and another concept we’ll look at another time: big data.

We invite you to get trained in the subject with any courses and workshops on data science that we recommend. Once you know about it, you can learn about our offerings and consider them based on your knowledge. We are at your service to support you in this area.

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5 Ways Businesses Can Use AI to Grow

Artificial intelligence can help with more than just security. The power and promise of AI for businesses keeps growing, and many of them can look towards artificial intelligence for inspiration and solutions to the most common problems they have. Artificial intelligence is already a part of your everyday lives, from social media feeds, song and movie recommendations, driving directions, and even the voice on your phone assistant are all examples of how artificial intelligence already has a role in our daily lives.

1. Improve Customer Services

With AI slowly getting into everyday use, it can help with major business improvements. By using a virtual assistant program, businesses can get real-time support to users and significantly improve their customer support.

With their usual workload, sales and customer support teams have a lot to work on. But, AI has made a lot of changes and improvements to helping people by tackling manual and tedious tasks. The automation of these tasks will allow people to focus on more important projects and lighten the workload.

Customer support representatives can be sure that their clients get all the necessary information they want and need with the help of AI. Artificial intelligence can maximize the use of a product or service a business offers. And artificial intelligence can also help with follow-ups by automatically scheduling any follow-up email that can help companies be sure that there are no leads that have not been contacted.

Apart from these tasks, AI can help businesses customize their websites based on how customers engage and behave online. Buyers want to see tailored experiences for any interaction they have with a business. And because of that, it is important to tailor your website towards potential customers. And you can do that with the help of AI tools that can automatically update website messaging based on the users that view the page.

2. Automate and Optimize Workload

With the help of machine learning, retails and other businesses can help with better inventory management. Machine learning can help automate any refilling requests and even optimize the supply chain with a breeze.

Artificial Intelligence can help with improving the maintenance and safety of the equipment a business has. It can improve the maintenance schedules that will offer better control of the manufacturing and transportation sectors.

By collecting and analyzing data, with the help of machine learning algorithms, businesses can categorize work, optimize logistics, automatically route service requests and improve the execution of manual tasks for any industry.

3. Predict Performance

The application of artificial intelligence in business can help predict performance and user behavior. Specific AI tools can help identify patterns that can potentially disrupt your business, like IT outages. There are tools that can also help determine when you can reach certain goals you set. You can watch and predict when you can reach a certain response time to help desk calls.

And with the help of different ML algorithms, a business can analyze patterns of online behavior and use this data to serve tailored product offers or target appropriate adverts. AI can even help a business forecast the revenue it will generate, which can help companies understand what will help them meet their quarterly and yearly goals.

4. Analyze Data

With many improvements in network and storage technology, it’s easy to collect data. However, just data is nothing without analyzing it. With high amounts of data, it can be very time-consuming to analyze big amounts of data one by one. That’s where AI can help. Machine and deep learning algorithms can help analyze any large amounts of data and interpret it.

So far, AI-powered systems have been used to analyze data from hundreds of sources to offer predictions and information about what works and what doesn’t. And it has helped unify data across platforms to put all customer data together into a single place.

5. Improve Marketing and Advertising

Businesses can use artificial intelligence to improve their marketing and advertising efforts. By adding automation to the marketing processes, a business can increase its presence and land more sales. A business can customize marketing and sales informationand allow AI-based applications to handle routine tasks to allow a better experience for consumers.

By using AI-based applications, businesses can start handling routine tasks. It can automate any routine marketing task and save time to focus on other things. And artificial intelligence can effectively track any user behavior on websites or social media. It can also deep dive into data about customers and clients to give predictions about product development, consumer preferences, and marketing channels.

With the help of machine learning, a business can get help with price-optimization for various markets. There are platforms that can leverage data about competitors, consumers, and suppliers, and use that data to automatically create different pricing models for individual market segments. This AI-based approach can contribute to and optimize the profit margins of a business.

Make Use of AI Technologies For Your Business

There are a lot of ways artificial intelligence can help businesses improve different aspects of their business and tasks that need to be done. Artificial intelligence will allow businesses and people to focus on important tasks, while AI takes care of their routine and time-consuming tasks.

 Let’s talk about a project with our specialists

Meet how our software development, Machine Learning and Data Science services can help your business

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Medical Imaging

One-third of hospitals and imaging centers report using artificial intelligence, machine learning, or deep learning to aid tasks associated with patient care imaging or business operations, according to a survey from Definitive Healthcare.

“Radiologists, in particular, use AI technologies to sift through millions of images and screen for potential abnormalities and patterns – thereby saving time (and potential lives),” said researchers.

“By using these technologies to screen images and identify abnormalities in patient scans, radiologists can significantly reduce the risk for both misdiagnosis and oversight in their analysis. With AI algorithms detecting abnormalities quicker than the human eye, AI has the ability to drive more efficient workflows for radiologists.”

Imaging centers reported a slightly higher use rate of AI technology compared to hospitals, with 34.7 percent of imaging centers saying that they use these tools and 31.9 percent of hospitals saying the same.

Artificial intelligence has the potential to transform medical imaging, saving providers time and effort when diagnosing and treating patients.

“This difference in reported usage is most likely due to distinctions in the primary objectives of each facility type. Imaging centers, for instance, are heavily based in diagnostic imaging services and, therefore, may show greater willingness to explore AI technologies that have shown promise in image analysis and operational tasks,” researchers said.

Nearly one-third of responding organizations not currently utilizing AI said that they will be using the technology within the next two years. Hospitals reported fewer plans for implementation than imaging centers, with 34.0 percent of imaging centers planning for implementation compared to just 28.3 percent of hospitals.

When combining current use rates with planned implementation numbers, 53 percent of responding organizations say they will be using AI within the next two years to either perform or assist in patient imaging or business operations.

Most participants who currently use AI are leveraging the technology for computer-aided detection of disease states, with 92.6 percent of organizations citing this as their area of use. The second most common use area was process or workflow improvement, at 26.5 percent, with no other area surpassing a usage rate of 16 percent.

In comparison, those who said they plan to use AI indicate that they will employ the technology more frequently across their organization, with 54.8 percent reporting they will use AI to improve processes and workflows and 50.0 percent planning to leverage AI for image detection of fractures and musculoskeletal injuries. Overall, current AI adopters averaged 1.79 out of a possible 6.00 areas of use, while those planning to adopt AI averaged 2.57 areas of use.

With the adoption of AI technology, imaging centers and hospitals are confident that they can improve care delivery as well as business processes.

“The implementation and use of AI is seen as highly valuable towards enhancing both patient care and business operations, although respondents feel there is a greater upside towards enhancing patient care across all data segments,” researchers stated.

More than half of respondents are confident that AI will have the greatest impact on patient care by improving or assisting in the accuracy of diagnosis. Seventeen percent of participants also said that the technology could offer operational improvements, while 15 percent said AI could speed up diagnosis time and enable earlier detection of disease.

The results show that while AI use is not yet ubiquitous in medical imaging, the development of new skills and tools will help facilitate adoption in the future.

“Artificial Intelligence Study shows only a limited existing establishment of AI technologies across imaging centers, the widespread interest in these technologies will likely result in a rapid growth in AI implementation across all facility types—particularly as these technologies improve and become more widely-accessible in the next few years,” researchers concluded.

Learn how our software development, Machine Learning and Data Science services can help your business:

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How Artificial Intelligence and Software can defeat COVID-19

We are facing one of the worst pandemics the world has suffered in recent decades, and yet we have never been better prepared to stop an illness. And not only because we have the best doctors or brilliant scientists on our side, but because for the first time technology is going to become a fundamental ally. The fact is something called “Artificial Intelligence” and that it has already been shown to work is one of our best weapons. But how can AI help us deal with a virus? Here are some hints.

AI to identify, track and prevent future outbreaks

The better we are at identifying and following the “movements” of the virus, the better we will be at fighting it. By analyzing news sources, content published on social networks or publications made by different governments, we will first learn to detect new outbreaks of the disease, before we can act. One of the most advanced companies in this field is the startup BlueDot, whose AI algorithms were in fact able to detect the presence of the virus in Wuhan several days before it was confirmed by Chinese authorities.

AI to aid in the diagnosis of the disease

Another key to stopping the virus is being able to carry out early tests, so that the first symptoms can be directly related to those of the disease. Companies like Infervision are working in this field with the Chinese giant Alibaba.

Thanks to the use of Big Data, the patient’s history, the community in which he is, the initial symptoms he presents, etc. can be determined with a success rate greater than 90% if that person has already been infected or is willing to have it, so treatment procedures can be started even before obtaining the results from medical laboratories.

AI to identify affected individuals

It is perhaps the most controversial use of this technology, but it works and it is very useful. This solution aims to develop or adapt facial recognition systems to be able to identify on the street or in closed spaces (a shopping center for example), if a person shows external signs of being able to suffer from this disease. By crossing this facial recognition as the person’s background and all available information about the area in which they live, a reasonable probability estimate can be made.

A similar technology is the one included in the “smart helmets” worn by policemen in Sichuan province and that allows them to identify people with fever; or the already famous smart code that has been assigned to each citizen of the affected provinces in the Asian country and that thanks to the use of Big Data identifies the potential risk of suffering the disease based on the person’s travel history.

Big data is presented as a tool to help doctors and patients overcome diseases or pandemics

Asian discipline and its conviction for digital technology have led big data to be the ideal weapon to beat COVID-19. The Asian giant, China, has put its entire technological arsenal at the service of health. With more than 1,300 million inhabitants, the penetration of smartphones among its population is high. The easiest way to control citizens is through an application.

In it, citizens must fill in some personal data, explain if they have any symptoms or if they have been somewhere affected by the epidemic for the last fourteen days.

The system generates a QR code according to the level of risk you have of contracting the infection. In addition, it also records the location of the users, so that the authorities can know at any time if someone infected is moving freely around the city.

Use of COVID-19 technology in South Korea

Another country that has used the technology to combat the coronavirus has been South Korea. Since the outbreak began in China, South Korea immediately implemented the application that detects by means of a QR code whether a person is infected or not. In this way they can monitor people the 14 days of quarantine daily.

At airports, authorities made people download the app immediately, before leaving the scene.

Despite being the main focus of those affected outside China, in South Korea the virus has advanced more slowly, and its mortality is very low compared to other countries. Its success is due in large part to such application and accounts for how the technology paid off against the coronavirus.

Using this application, which allowed them to monitor visitors from dangerous areas, was so useful that the government used it to manage the quarantine of more than 30,000 people spread across the country.

Being able to control patients, through this application, at all times during the day and without mobilizing medical personnel was very helpful. In addition, the GPS location ensures that people do not leave the assigned place of isolation.

How DiviDev is already implementing these types of solutions?

Along with municipal and other government authorities in the central region of Argentina, we are already contributing our AI capabilities by developing algorithms and applications in order to mitigate the impact and progress of this disease, helping these institutions with data analysis and predictions to assist in decision-making and execute them before possible overflows of public infrastructure. This prediction will help create field hospitals in a timely manner; and with the necessary dimensions on what is predicted. In addition, it allows planning the affected health personnel based on these results.

In these solutions, we use time series forecasting algorithms for the prediction in timelines “take the current cases of: suspects, positives, close contacts, deceased and recovered” and generate a prediction for the next 12 days.

In addition, we are working on other specific software solutions such as the development of mobile applications to combat Coronavirus, similar to those successfully implemented in South Korea (previously mentioned), in order to track infected patients and prevent spread in the region.

DiviDev can help you apply artificial intelligence to combat COVID-19

DiviDev offers you end-to-end solutions or complete and extended teams that can be easily integrated and work hand in hand with you to offer highly valuable features of your product.

We have certified experts who can help you explore the best artificial intelligence opportunities to combat COVID-19 or help companies in their transformations caused by this change in habits and routines revolutionized by this pandemic. Likewise, it can help capture new markets, increase revenue, improve profitability, and expand brand reach. As an end-to-end software development provider, we recognize the promise of this intelligent game-changing platform integration, designed to maximize internal efficiency, analyze data effectively, and improve customer experience.

DiviDev is ready to serve clients interested in taking advantage of this technology.

Learn more about our services by clicking here

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Chatbot Interactions Increase Through Online Sales

The communication channels between companies or government institutions, during the pandemic, have diversified due to the increase in information. 

One of these new implementations are chatbots, artificial intelligence software that can conduct a conversation in natural language through audio or text, they begin to be the way to escalate company operations despite the isolation due to the health emergency.

“Hundreds of companies are betting on chatbots to deal with crisis caused by the coronavirus.”

Due to confinement in much of the world, an increase of up to 200% in chatbot activity has been detected in recent weeks in the online sales segment.

Chatbots have been experiencing exponential evolutions in recent years, and the increasing demand by companies has fueled the appearance of thousands of options.

Some of the main advantages of having a chatbot are:

  • They are available 24 hours a day, 7 days a week.
  • They offer responses in real time and in a personalized way.
  • They collect valuable information for companies regarding consumer behavior and personal data.
  • They redirect the user to the purchase of the product or service in an automated way.
  • Answer frequently asked questions immediately.
  • They save time and optimize processes.
  • They are an economic solution for brands and companies.

This programming can be as complex as required. There are chatbots so optimized that they can have long conversations with people and solve more than 80% of requests without requiring human input.

Other uses of Chatbots compared to COVID-19

It’s not just being applied in e-commerce. Governments and health institutions, both private and public, are implementing solutions based on Artificial Intelligence to deal with the coronavirus. Among them are AI Chatbots applications, such as Boti.

Boti is a chatbot that’s being used in in Buenos Aires. Identify suspicious cases and connect them with an online operator to provide personalized attention. It works every day 24 hours. and can answer up to 9,000 messages per minute.

The Boti chatbot, which answers neighbors’ queries easily and immediately through WhatsApp, reached a new level of care for those who have symptoms that coincide with COVID-19.

In line with the Ministry of Health protocol, Boti, deciphers suspicious cases and connects them with an online operator to provide personalized attention to neighbors.

Consultation record

As of March 25, the platform has already received more than 20,153 queries about the Coronavirus and reported 3,425 suspected cases to the SAME (Emergency Medical Attention System) call center. From now on, suspicious cases are directly connected in the same chat with a doctor who continues with the Health protocol.

In this way, specialists can attend to up to 5 people simultaneously when before they only managed to maintain contact with a single person via telephone.

Future of Chatbots

The size of the global chatbot market is forecast to reach around $ 1.25 billion in 2025, a large increase from the market size in 2016, which stood at $ 190.8 million, according to Statista figures.

While the firm Juniper Research predicted that the success rate of bot interactions in the health sector will go from 12% currently to over 75% in 2022. In the banking sector, Juniper expects this to reach more than 90% in 2022.

This is how the world is embracing chatbots and conversational marketing in anticipation of the arrival of the Covid-19.

Learn more about our services and how we can help develop your Chatbot by clicking here.

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