Check out the Data science course in Hyderabad to learn more about the career if you want to enter the data science field in 2023.
What is Data Science?
In order to solve challenging problems, the field of data science combines the various fields of machine learning, algorithm, data interpretation, programming, mathematics, statistics.
Over 90% of the data currently available worldwide was created in the two years before 2013, according to a 2013 study. Consider that. We gathered nine times as much data in only two years as humankind's collective data-gathering efforts over thousands of years.
According to Forbes' 6 Predictions regarding data in 2020, there will be a staggering 45 zettabytes of data at the year's conclusion. That means, we require data science to add value to this information, make it applicable to real-world situations, and make it helpful.
Data scientists are like superhumans that can make sense of unstructured, disorganized, raw data from sources outside of databases, such as emails, feeds from social networks, and smart devices that don't fit into databases cleanly. Thus, data is gathered, cleaned, and organized by them.
Making decisions and predictions utilizing machine learning, prescriptive analytics, and predictive causal analysis is the primary application of data science. It's a growing field that aids companies in getting closer to their customers as well as in helping them identify their markets and make better decisions.
Data science has been the most promising employment path for qualified experts. Data science is currently dubbed the 21st century's hottest profession. Let's examine its appeal and the reasons Data Science is a wise choice for the future.
Here are a few reasons for thinking about a career in a data analytics course in Hyderabad.
Why choose Data Science?
Increasing Demand
Since data-driven decision-making has gained popularity over time, every business, huge or small, looks for experts who can evaluate and comprehend raw data and assist the business in effectively using it.
- According to Searchbusinessanalytics, the need for data scientists is increasing and will continue to grow yearly. Since 2013, demand for data scientists has grown by 344% on average and 29% overall.
- According to a McKinsey Company assessment, the United States of America had between 140 and 180 thousand limited data scientists and managers by 2018 than it required.
- As a result, it's an excellent field to obtain knowledge in and consider a career in because of the extreme lack of experienced people and the great demand for it.
High Salaries
According to Indeed.com, the average annual pay for a data scientist in the United States is $119,353, whereas it is, correspondingly, £52,137, C$79,313, €44,730, and AU$92,157 in the UK, Canada, French, and Australia.
Evolving Field
Due to the vast and constantly expanding amount of data in the world and the rising demand for data scientists, data science is a field that is evolving quickly.
If you decide to pursue a career in data science, you will have the exciting opportunity to work on cutting-edge technologies like machine learning and AI, as well as fields that are fast developing, such as edge computing, blockchain, and serverless computing.
If the strong pay scale and growing need for data scientists have persuaded you to seek a career in data science, then this article is for you.
Data Science Prerequisites
As the name suggests, data is at the center of data science. The first and most important prerequisite for mastering data science is a desire for, an understanding of, and the ability to deal with data.
Data scientists could be viewed as big data wranglers. They examine enormous amounts of organized and unstructured data. The process, analysis, and data model using computer programming, math, and stats to interpret relevant results.
They need to be knowledgeable in various fields to accomplish this. These prerequisites for data science can largely be divided into two categories.
- Technical Data Science Prerequisites
- Non-Technical Data Science Prerequisites
Here, we will only discuss the technical aspects of data science prerequisites.
Educational Requirements
You already have the necessary certifications to pursue a career in data science if you have a degree in computer engineering, information technology, mathematics, statistics, engineering, or any other relevant profession. A passion for coding or statistical analysis will also help you develop the skills required to become a data scientist.
Statistics and mathematics (32%), economics (21%), computer science (19%), and engineering (16%) are the fields of study most frequently chosen by data scientists. You can quickly transition into the data science business with the help of a degree in one of these subjects, which will also help you gain the necessary skills.
The required abilities are the second and one of the most crucial requirements for Data Science after having the necessary educational credentials.certifications. Let's find out more about them.
Technical Skills
SQL Databases
CrowdFlower carried out a study in 2016. They compiled a list of the top 21 talents that appear in job descriptions the most frequently after studying approximately 3500 Data Science job titles that were listed on LinkedIn.
Nobody was surprised when SQL came in the first place. It was determined to be the most crucial data science need, and 57% of job ads specified it as a criterion.
In a relational database management system, data is managed and accessed using SQL. It can read, retrieve, update, add new data, or remove old data. It also aids in database structure transformation and analytical tasks.
Hadoop Platform
Hadoop was listed in 49% of job descriptions as the next most important Data Science ability in the same CrowdFlower poll. Although it isn't usually a strict necessity, companies strongly favor it as one of the prerequisites for data science.
You will encounter instances as a data scientist where you have more data than your system can store.
You would have to transfer the data to various servers in this situation. This is where Hadoop's function is needed. Data may be swiftly delivered to multiple locations in the system using Hadoop. Moreover, it can be used for data exploration, filtering, sampling, and summarization.
Python Programming
Python was the second most important Data Science expertise behind Hadoop, appearing in 39% of job advertisements. Moreover, it is currently the most commonly utilized language among data scientists.
Python is a highly flexible language used in virtually all Data Science activities. Python can perform any task, including data mining and operating embedded systems. As a result, 40% of respondents to an O'Reilly survey indicated that they used Python the most frequently.
Apache Spark
Apache Spark is another big data computing framework similar to Hadoop. The main distinction between the two is how much quicker Spark is.
Spark is faster than Hadoop because it computes in the system's memory rather than on the disc, which Hadoop reads from and writes to. It is one of the most widely used prerequisites for data science around the globe.
Spark was created primarily to run complex algorithms more quickly. When you are processing a large sea of data, it helps you save time. Also, it aids Data Scientists in managing vast, complicated, and unstructured data sets.
Excel and Tableau
Another two crucial Data Science Requirements are Excel and Tableau. These Data Science tools are crucial for comprehending, working with, analyzing, and visualizing data.
Excel is used when several data transformations and calculations need to be made. When you need to compile all the data into one location and display it on the dashboard with compelling visuals, you utilize Tableau.
Conclusion
Understanding why some people succeed in data science and others do not, despite receiving training and coaching, is crucial. Data scientists ought to be versatile.
They should be excellent communicators, naturally curious about the world around them, and have programming and database management skills since this will qualify them for a career in data science.
Can you imagine a career in data science for yourself now that you know both the technical and non-technical data science prerequisites? If you wish to specialize in statistics or data science professionally, enroll in a comprehensive Data science certification course in Hyderabad offered by Learnbay and master this in-demand technology.
