The pandemic has made a significant impact on educational institutes everywhere. Colleges, universities, and institutions have resorted to online classes. Data science is one of the many subjects being taught online now. But this digital way to education has brought more perks than just safety.

Now, more and more people understand how the internet works and data scientists are using their knowledge and experience to teach online. Thanks to this wide range of availability, data science courses have become more accessible for interested students.

If you’re looking for such data science courses online, ExistBI has a wealth of experience and a variety of courses available for all ability levels. We’ll discuss what data science curriculums include and how you can learn online.

What Is Data Science About?

Let’s first briefly discuss what data science is and what it involves if you’re new to this concept and the big data industry. Data science utilizes systems, algorithms, processes, and scientific methods to extract necessary information from data. This data could be structured or unstructured. Data science revolves around machine learning and data mining.

In simple words, data science is the extraction of meaningful insights from a piece of data through domain expertise, statistics, and mathematics and programming skills.

What Does A Data Science Course Include? 

The entire course is a blend of various subjects, including:

  • Machine learning
  • Algorithms
  • Tools
  • Jameen expertise
  • Coding
  • Twitter analysis
  • Business acumen
  • Mathematics

The curriculum teaches the scientist how to identify and extract meaningful, useful, sometimes hidden, insights from a collection of raw data.

What Does A Data Scientist Do?

The useful information extracted by a data scientist helps businesses make crucial decisions. Analysis and structuring of raw data can help companies make valuable changes to their strategies, understand their profits and losses, and grow financially. Moreover, by sharing and extrapolating such useful insights, these scientists can help businesses come out of financial crises and solve many problems.

What Are the Major Differences between Data Science and Business Analytics

With the growing availability and accessibility to both these programs, people must learn the difference between them.

So, let’s compare them, shall we?

  • Data science is studying data with the help of technology, algorithms, and statistics. In contrast, business analytics involves statistically analyzing business data to gain insights.
  • Data science utilizes both structured and unstructured data, while business analytics mostly involves structured data.
  • Data science incorporates a lot of coding. It is a perfect blend of excellent computer knowledge and traditional analytics. In contrast, business analytics does not include a lot of coding. It is more oriented towards statistics.
  • In data science, scientists use statistics after finalizing the analysis after coding. In business analytics, however, the analyst completes the entire research on the basis of statistical concepts.
  • Data scientists study almost all kinds of trends and patterns, while business analysts study trends and patterns only specific to businesses.
  • Industries like e-commerce, machine learning, manufacturing, and finance are the topmost applications of data science. These industries are telecommunications, supply chain, marketing, retail, health care, and finance for business analytics.

So, as is evident here, both business analytics and data science are entirely different. Both fields incorporate different strategies, and both types of professionals have varying jobs and opportunities. The point of discussing this comparison was that you should know what you’re getting yourself into and what your opportunities look like. You should always know the difference between two similar professions, especially if you’re trying to pursue one of them.

Leveraging Data Science To Combat Covid-19

Amidst the pandemic, it has come to everyone’s attention that data scientists have become more valuable than ever. Indeed, their role in making businesses flourish is undoubtedly significant. However, since the pandemic started, they have also made a significant contribution in helping manage healthcare departments.

Since 2010, we have been growing our knowledge and capabilities in terms of algorithms, identifying patterns, and obtaining insights. However, since the pandemic hit us, the world of data science has seen abilities and potentials beyond what we ever imagined. Data scientists are now using their capabilities to help predict how the disease will affect various businesses and industries. So, is the pandemic opening a new door for data science? You might rightly think so.

Data scientists provide their skills and services for screening, analyzing, predicting, forecasting, tracing contacts, and developing drugs and solutions. If you think this is great, experts speculate that more of such services will come from the data science field very soon if the pandemic continues.

Experts speculate and hope that, soon, machine learning and data science will help categorize and predict which people are prone to getting the disease and which ones are immune and safe from Covid-19. Such categorization will be of immense help in many ways. It will help prioritize those who need the treatments and vaccinations first and who can wait. Plus, it will help reduce the spread of the disease and contain the damage.

Moreover, data science is also helping us keep track of Covid-19’s spread worldwide. Plus, we are also using data science at a macro level to assist what information and results disseminate and where. Such data and information help keep track of where the disease might spread next, where it can do the most damage, and how many waves we can expect.

Apart from these services, data science is also playing a vital role in making industries and businesses run. It’s helping companies make proper arrangements and decisions according to the data they receive and the information they structure out of it. This benefit applies to both private and government industries, and it’s helping many countries stabilize their economy and prevent them from collapsing.

Covid-19 Data Science Urban Epidemic Modelling And Visualization In Python

Since coronavirus spreads from person to person, to keep track of the virus among the population, you must keep track of the people. The disease goes where the people go. Understanding, analyzing, and predicting their movements can help us understand how the disease spreads, where it’ll spread to, and how to stop it effectively. Predicting where a disease virus is saturated and where it will move on to the next can help control the damage and minimize it.

Urban epidemic modeling and visualization in python is precisely this. Python is a coding language you will typically see in data science. Python is the most preferred, most popular programming language among data scientists worldwide. The reason for all this love for the language is how versatile it is. Data scientists use machine learning, special statistics, and complex networks to understand urban communities’ mobility.

Keeping track of the disease’s potential carriers can help you make proper predictions and appropriate measures to stop the disease’s spread. Data scientists use python to build epidemiological models while taking into account urban mobility patterns. Then, they convert the data into understandable, visually pleasing graphics and diagrams. This process includes simple mathematics, statistics, formulations, and special equations. Then, they present the information on a map so that it is easy to understand and interpret.

Online Data Science Courses During Covid-19 Crisis

With the rising demand for data scientists, more and more people are looking up to this profession and adopting it as a career. However, even those who are already certified need to take their game up a notch. The data world is transforming, and if you’re not up-to-date, you’ll soon be far behind the world and what it needs right now.

ExistBI provides valuable data science courses and consultation during the pandemic. If you are a learning data scientist, you can get Big Data training classes on ExistBI. The training classes include:

1. Big Data Training For Beginners

This one-day course aims to provide you with a basic competitive understanding of all the Big Data topics, primarily Hadoop. You’ll learn what Big Data is when we should consider something like Big Data, what a Big Data system architecture looks like, and much more. You’ll learn all about the ecosystem, the key players in the space of Big Data, and whether it’s related to technology and data volume. In the end, you’ll identify whether it can enhance the existing technologies or completely replace them.

What’s more, you don’t require any programming experience to enroll in this training. If you’re someone who needs a complete overview of what Big Data is, its various components, and more about the Hadoop ecosystem, this class is fit for you.

2. Fundamentals Of Big Data And Hadoop 

This three-day course aims to provide a maximum understanding of Big Data, including the basics as well as its usage. You will learn what Big Data is and what its architectural system looks like. Along with this basic knowledge, you’ll learn about the implementation of Hadoop jobs for the extraction of business values from vast and varying data sets. You’ll also learn the development of queries to simplify data analysis using Impala, Cassandra, Pig, and Hive.

3. Big Data Analytics Training

Big Data Analytics is a 3-day course that helps improve and expand your skills. The topics include data visualization, statistics, and data mining. You’ll learn how to analyze a larger, more massive amount of data and use this data for the management of risk. This way, you will help make businesses change their route from collapsing to flourishing. It will help to make crucial business and financial decisions.

This course aims to define Big Data Analytics, exploring big data, and explaining the difference between real-time data processing and batch processing. Moreover, you’ll experience both supervised and unsupervised learning and understand the difference between the two. Mining techniques, handling stream data, and defining strategies Big Data is all a part of this course.

4. Big Data For Advanced Learners

As the name suggests, this particular training program is for advanced learners. However, the good news is, you still don’t require any prior programming experience to take this training. (though if you have prior knowledge, it will certainly be helpful). The training course goes on for four days and includes hands-on exercises. These activities and exercises will help you gain a stronger understanding of the Big Data platform and ecosystem.

The entire course has four models, three of which include lectures with hands-on labs. Module one will introduce the subject, while two, three, and four will be all about the architecture, tools, and analytics.

5. Informatica Developer Tool For Big Data Development

This two-day training has objectives like data extraction from flat file sources and relations, parameterized mappings, development of mapping transformations that are most commonly used, and much more. The course is easily applicable to the 10th software version, and you can learn the Data Integration mechanics through the Developer Tool by Informatica. Through this course, you’ll learn about the key components of development, configuration, and deployment of data integration mappings.

6. Informatica Big Data For Developers

This one is a 3-day course that you can get on-site or virtually. You’ll learn the definition of big data, leverage the Informatica smart executor, and describe the way Informatica reads, writes, and parses data collections by NoSQL. This course has 11 modules in total. Each of them has valuable information on big data basics, data warehouse off-loading, Big Data management architecture, and much more.

7. Integration of Informatica Big Data

This three-day training program aims to describe how to optimize data warehouses in a Hadoop environment. Plus, you will learn the processing of different file types using Hadoop that you cannot process using traditional Data Warehouse settings. You will also learn how to describe optimum methods of map designing while executing Hadoop’s Informatica mappings. You’ll learn all this and much more!

Conclusion

Data science has become the new cool, there’s no doubt about that. This profession and field play a vital role in managing the pandemic and tracking it, and we certainly need more of these scientists. So, if you’re interested in pursuing data as a career, expanding your skill set in your current role, or developing your employee’s knowledge to benefit your business, take the ExistBI training.

Apart from these courses and educational values, Exist also provides you with data science services. With these solutions, you can receive trusted, accurate data throughout the information chain. This way, you can make better and faster decisions for your business. Accurate data and information can optimize your business, identify problems and breakdowns, and help you keep everything under control!

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