5 Jobs You Can Take After Completing Your Data Science Training

 

Intro

Today data plays a significant role in the performance of an organization. This is why many firms hire data scientists for their companies. However, despite this many people believe there is a scarcity of jobs for data science experts in the market. But this is a false belief and there are various roles that these candidates can take up after their training. Keeping this in mind, today we are sharing with you the five roles/jobs that data science experts can take after finishing their education.

Here are the different types of jobs you can take up after finishing your data science education.

Data Analyst

It is one of the best jobs you can take up after studying data science. While working as a data analyst you will be responsible for performing various responsibilities. For, instance, you will be responsible for munging & processing big data. Besides this, you will also be responsible for the visualization of data. Apart from this, you will build & maintain DB, perform data analysis, build reports, etc. Furthermore, you will also be responsible for improving the data collection/quality process of an organization. However, to become an expert data analyst you must have certain skills. For example, you must be proficient in SQL, R, etc. To learn about SQL & R programming in detail feel free to join the Data ScienceTraining Institute in Delhi.

Data Scientist

Data scientist plays a very important role in any enterprise. He is accountable for collecting, analysing and interpreting large volumes of data. Moreover, he is responsible for understanding the challenges of an organization and finding solutions for them by doing data analysis. Apart from this, he helps an enterprise in automating the data collection process, developing business strategies, etc. Furthermore, he also helps firms in collecting information regarding customer behaviour and their buying patterns. However, to become a data scientist you must have in-depth knowledge of different data science techniques and tools. Besides this, you must be an expert in R, MatLab, etc.

Data Engineers

It is another fantastic role you can take after finishing your training. Data engineers are responsible for developing and testing large data ecosystems for an organization. Besides this, they conduct primary/secondary research and make reports for stakeholders. Additionally, data engineers also do data analysis for uncovering important trends and forecasting the future performance of an enterprise. But to become a data engineer you must have knowledge of different technologies. For instance, you must have knowledge of Hive, NoSQL, R, etc. Apart from this, you must also have knowledge of different data APIs.

Database Administrator

It is another fantastic role that you can take up after finishing your education. While working as a DB admin you will be responsible for storing/managing data in a database. Furthermore, you will ensure that the database of an organization functions properly without any issues. Apart from this, you will be responsible for implementing security measures on a DB, preparing reports, creating DB backups, etc. Besides this, you will also be responsible for data archiving. But to become a good DB administrator you must have in detail knowledge of different RDBMS. Moreover, you must also be competent in disaster management.

Machine Learning Engineer

Machine learning engineers today enjoy huge demand in the market. While working as a ML engineer you will be responsible for designing ML systems. Besides this, you will be developing ML algorithms and testing them. Furthermore, you will also be developing ML apps as per your client's needs. However, to become a ML engineer you require to have knowledge of technologies like SQL, REST APIs, etc. Moreover, you must also be an expert in doing A/B testing and visualizing data. Apart from this, you must also have knowledge of common ML algos like clustering, classification, etc. To learn about other skills that you must acquire to become a ML engineer in detail feel free to join the Data Science Training Institute in Noida.

Conclusion

As you can see there is no scarcity of opportunities for candidates who study data science. Furthermore, candidates who learn data science also make lots of money after training. Thus, if this thrills you then you must consider studying data science. You will not regret your decision of learning data science.

Comments

Post a Comment

Popular posts from this blog

What Career Opportunities can I Explore After Learning Ansible

Image
Ansible is an open-source automation tool used for IT tasks such as configuration management, application deployment, and orchestration. It automates repetitive tasks by allowing the user to describe the desired state of the system or application. In addition, it uses a simple, human-readable language to translate those instructions into automation scripts. Furthermore, these scripts can be executed on one or more machines. One of the key benefits of Ansible is that it is agentless. It means that it does not require any software to be installed on the target systems. Instead, Ansible uses SSH or WinRM to connect to the remote machines and execute the necessary commands. Furthermore, Ansible also provides a wide range of built-in modules for common tasks such as managing packages, users, and files. To further know about it, one can visit Ansible Online Training . Above all, Ansible is a powerful tool that can help IT teams automate complex workflows and improve efficiency.   W...
Read more

How To Improve The Performance Using LoadRunner?

Image
Introduction LoadRunner is a robust software testing tool launched by OpenText. This performance testing tool has been developed to test different applications and to measure the system behaviors and performance under load. The LoadRunner tool simulates multiple users using the application concurrently and records and analyses the performance of the critical components of the application under different loads. This tool supports multiple development technologies, tools, and communication protocols. LoadRunner comprises five components: The Virtual User Generator (VuGen), Controller, Load Generators or Load Injectors, Agent Process, and Analysis. Today, the test results obtained from LoadRunner are used as the benchmark in the industry. Thus, LoadRunner has emerged as the pioneer in performance testing and has about 85% market share, making it the most prominent performance-testing solution for enterprises. As a result, organizations increasingly choose LoadRunner for performance test...
Read more

What are the Reasons to Use Ansible?

Image
  IT infrastructure activities can be automated using the open-source automation tool Ansible. To define automation tasks, it makes advantage of the straightforward and understandable YAML language. System administrators and developers can both use this platform. You can use Ansible to automate the deployment and configuration of servers, apps, and services in a variety of scenarios. You can manage your infrastructure as code, which makes it simpler to enforce compliance and maintain consistency throughout your whole infrastructure. Ansible is made to be simple to use and setup is minimal. It is thus a well-liked option for both little and big automation projects. It is a useful tool for IT professionals due to its capacity to manage setups, organize operations, and perform complex jobs. Reasons to Use Ansible A strong and adaptable automation tool is Ansible. Utilizing it enables you to improve consistency and compliance throughout your infrastructure, streamline operation...
Read more