What is the Difference Between Data Science and Applied Data Science
One of the most known and practically applied fields in most industries to learn and analyse about their products and businesses is Data Science. However, there is a bit of difference between Data Science and Applied Data Science. Data science is a subpart of applied data science to some while for others, both the terms are interchangeable. In layman’s terms, data science is the extraction of data to create a visualization, forecast, or manipulate the data accordingly. It includes analysing the data and creating the visualizations as per the needs.
Coming to the difference between Data Science and Applied Data Science; in applied data science the art of researching is added on with data science. Applied data science has a broad scope of data science which includes researching for new applications of data science and creating new methods or functions for faster retrieval of data and analysis. Applied data scientists have higher and deep technical knowledge of how data science and its methods work as compared to data scientists.
Read more - Planning to Upskill Yourself? Enrol for a Program in Data Science
One can get a job in Data Science and Applied Data Science by doing a Data Science Certification course. These Data Science Certificate courses are worth it for those who want to evolve their career in this field. Read on, to know more about the difference between Data Science and Applied Data Science, online Data Science courses, its scope, and more.
Before understanding the difference between Data Science and Applied Data Science, let us check out the focused areas of Data Science for better understanding. The focused areas of both will help aspirants to choose the online Data Science courses wisely. Also, it will clear out the difference between Data Science and Applied Data Science to an extend.
Focused Areas of Data Science and Applied Data Science
Focused Areas of Data Science
Focused Areas of Applied Data Science
Data mining- Data mining is a methodology of data science used to extract the raw data and relationships are found to make decisions as per the needs.
Researching new algorithms- Just like in software development, there are many algorithms to sort the data. But, selection of the algorithm depends upon the time complexity and arrangement of data and so, the same happens in data science too.
Data visualisation- It is another aspect of data science that helps in creating visualisations based upon the analysis and needs of the business.
Researching new applications- There are still many applications undiscovered where data science can be applied.
Time-series prediction- Time-series prediction is a way of forecasting the data using historical data and finding out the mathematical relationship between the data.
Making conventional algorithms faster by optimizing mathematical functions- Mathematics and statistics are important while learning data science. For faster implementation, a better mathematical function is required rather than using previous conventional mathematical functions.
Data cleaning and transformation- In database management, storing a lot of data can be cumbersome to read and analyse. Data cleaning is one the focused area of data science which removes the noise from the database and helps in analysing the data easily and can be transformed accordingly.
Creating new predictions- Even after using so many algorithms, predictions are not fully accurate. They lack seasonality and trends. Applied data science researches on creating new predictions too.
Why Opt for Data Science Certificate Courses?
Most young minds in India are not really updated with the rapidly transitioning changes in the field of computer science, due to which learning is a little bit slow. Like in the COVID-19 pandemic, most of the non-technical persons lost their jobs because the businesses went down during that period. However, software engineers were able to sustain themselves by working from their homes. In the coming time, there is going to be a boom in the jobs in Data Science and Applied Science field. As the learners increase, the applications of the fields increases.
There are many Data Science certificate courses available online. Some of the best platforms to opt for the best Data Science certification online are Coursera, Udacity, edX and Udemy. One can opt for online data science courses from these platforms based upon their needs and international validity. As for international validation of the Data Science certification courses, Coursera is the best among all. There are so many deals present on Udemy and other platforms for online Data Science courses.
Prerequisites for Data Science and Applied Data Science
To pursue online Data Science courses, it is preferred to have a mathematical background. As data science is totally based upon mathematics and statistical functions, learning through the data science certification courses will be easy. Without the knowledge of mathematics and statistics, you will not be able to hold in the industry for the longer term. Other than this, Python and the R programming language are best known for data science tools. With the familiar knowledge of these tools, Data Science certificate courses will be easy for you to accomplish. These tools will help you in many aspects other than Data Science. Python is used in web development, software development, game development, and data science.
Also Read: Online Certificate course in Data Science and Machine Learning by NIELIT, Chennai
Jobs in Data Science and Applied Data Science
There are many job profiles in both fields as they both are interchangeable technical words in organizations. Careers in data science include Data Scientists, Senior Data scientists, Lead Data scientists, Data scientists in Computer Vision, Data scientists in Image Processing, and many more. The jobs in applied data science include Applied Data Scientist, Senior Applied Data Scientist, Lead Applied Data Scientist, Applied Machine Learning Engineer, Research Data Scientist, Applied Scientist, and many more.
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Jobs in Data Science and Applied Data Science vs Other Fields
According to a report, it has been seen that there is a 62% of increase in data science jobs in 2020 as compared to 2019. The average salary of the data scientist is Rs. 9,08,231 in India. The average salary of a data scientist is $113,436 in the USA. Comparing the data scientist, software engineers have an average salary of Rs. 5,23,765 in India and $86,005 in USA. The above data clearly shows that the profile of a data scientist is bound for growth and upcoming data scientists can expect exceptional pay in exchange for their services.
Widely Applied Fields of Data Science
Machine Learning - Machine learning is one of the most hyped technologies in the world. Every nerd must have heard about it once in his lifetime. Machine learning is the technology that uses data science and mathematical functions to evolve better learning and optimizing the models. There are many supervised and unsupervised algorithms in machine learning that enhance the training and learning model. Using statistical models, machines learn the behaviour. Using classification and regression algorithms, data can be predicted.
Artificial Intelligence - Artificial Intelligence (AI) is a technology that makes machines behave like a human brain. Using learning and training models, statistical functions are adjusted and after training behave like a human brain but with less accuracy than the human brain.
Market Analysis - Market analysis is another field of data science where data science is widely used. If an organization has to find out the analysis of its sales and revenue from previous years, data science creates the visualization for the same. Using data science, organizations can check where they lacked customer satisfaction in previous years.
Big Data - As the data is increasing with time, difficulty in managing and extracting information from the data also increases. Big data analytics is a field that analyses the data and deals with large and complex datasets.
Read more - 30+ courses on Data Science to Pursue
After reading the whole article, the difference between Data Science and Applied Data Science must be clear. Data science is using the latest technology and this technology will not go down until there is no data left to collect. If data is there, data science is there for sure. Data scientists have a huge impact on the success of the business. If you want to be a data scientist, then start learning and get a professional data science certificate and start extracting insightful data from the datasets. Whether it is finance, manufacturing, IT services, data science will surely help in the success of your business. Cheers to the digital era!
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Frequently Asked Question (FAQs) - What is the Difference Between Data Science and Applied Data Science
Question: Why data science as a career?
Data science is one of the upcoming industries which will boom in the coming years. This field will not go down for a longer period of time as visualization and forecasting will be there for every business.
Question: What are the different fields of data science?
Different fields of data science include data visualization, data mining, forecasting and analysis of data. Other than this, in database management, data cleaning is another field of data science widely used now.
Question: Where can I get a professional certificate in data science?
Online platforms such as Coursera and Udacity provide professional certificates in data science.
Question: What are the prerequisites of the data science certification?
There are no such prerequisites but for great learning, a bachelor’s degree with a mathematical background will be preferred.
Question: Is completing a data science online course certificate worth it?
Yes, completing a data science online course certificate is worth concerning future aspects and learning.
Question: Can data science be learned at home?
Yes, data science can be learned from home as there are many online platforms to teach data science and provide credibility too for the same which is valuable same as the offline or instructor-led training programmes.
Question: Are there any specific tools that I need to know before starting the course?
Ideally, it will be good if you know about the basics of Python and R software before starting the course.
Question: Is data science a difficult course for a non-technical person?
Data science is not difficult for non-technical persons if they are familiar with mathematics and statistics.
Question: Should I opt for data science certification or applied data science certification?
It depends upon your future aspects. If you want to research applications and algorithms, choose applied data science certification. Otherwise, go for data science certification.
Question: What will I be able to do upon completing the certification course?
After completing the certification course, you will be able to forward your profile as a data scientist and will move ahead from the huge competition.
Question: Can I opt for data science certification if I am a software developer to forward my profile as a data scientist?
Yes. You can opt for data science certification as you are a software developer. It will help in making more chances to get your profile shortlisted among other candidates.
Question: What is the average salary of data scientists in India?
The average salary for the job profile of a data scientist is Rs. 9,08,231 in India currently.
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