What can I do with Data Science Professional Certification?

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What can I do with Data Science Professional Certification?

In this digitally and technologically reliant era, data has emerged as the fuel that drives business operations and has become the most valuable field with incalculable benefits in business, research, and our daily lives.

Data science, to put it in simple words involves capturing useful insights from raw data sets. Data science is a field that encompasses a wide range of skills and subjects, including computer programming, statistics, data visualization, machine learning and modeling, and so on.

As a result, data science positions are currently one of the PGPdata science professional certification most sought-after and in-demand jobs in the IT business.

Certification is required to enter this industry and obtain these data science jobs.

If you’re wondering what you can do after earning a data science professional certification, the possibilities are endless.

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com

First, lets us get into the details of why data science certification is so valuable.

Companies deal with massive amounts of data and must rely on data scientists to figure out what makes sense from the data they’ve gathered. So, if someone wants to break into this lucrative business and has an aptitude for data science technology, or if they want to put themselves ahead of the competition, data science professional certification is the defining credential.

Data science certification is a terrific approach to gain an advantage because it allows you to learn new abilities and, as a result, gives you a better chance in your chosen field.

Furthermore, data science certification is a wonderful approach to know what skills data science professionals have because recruiters will know what they are recruiting professionals for or which specific traits the prospective employees have that will be needed for which sector of the job, or to be more precise, what they are obtaining by hiring them.

A data science professional certification is the right option to go for if you want to learn data science from a good and reputable university or training institute.

A Data Science professional certification course projects you in the right direction for those aspiring individuals who want to gain experience in the field of data and have a good data science career. It is also an ideal method for

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com

those who wish to learn new skills and increase their knowledge of data science technology.

Let’s look at some of the major domains that demand data science expertise, to give you a better idea of what you can accomplish with a data science professional certification.

Healthcare Sector: In the healthcare industry, data science has resulted in a number of advances. Medical professionals are discovering new ways to comprehend disease, practice preventative care, diagnose diseases faster, and explore new treatment options thanks to a massive network of data now available via anything from EMRs to clinical databases to personal activity monitors.

Financial Sectors: The banking industry has saved millions of dollars and incalculable amounts of time thanks to machine learning and data science.

Natural Language Processing (NLP) is used by JP Morgan’s Contract Intelligence (COiN) platform to process and extract important data from roughly 12,000 commercial credit agreements each year. What would have taken 360,000 hours of human effort to complete is now completed in only a few hours thanks to data science. Furthermore, fintech businesses such as Stripe and Paypal are significantly investing in data science in order to develop machine learning algorithms that can swiftly detect and prevent fraud.

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com

Cybersecurity: Every industry benefits from data science, but cybersecurity may be the most critical. Kaspersky Lab, an international cybersecurity organization, uses data science and machine learning to detect approximately 360,000 new malware samples every day. Data science’s ability to detect and learn new ways of cybercrime in real-time is critical to our future safety and security.

Entertainment: The music streaming behemoth like Spotify can meticulously design lists of tracks based on the music genre or band people are currently into using data science. That’s how Spotify always appears to know the song you’re exactly looking for.

Have you been getting into cooking lately? Netflix’s data aggregator will detect your need for culinary inspiration and suggest appropriate shows from its massive library. These are all the handy works of data technology.

Logistics: UPS uses data science to improve efficiency both within the company and along its delivery routes. The company’s On-road Integrated Optimization and Navigation (ORION) solution creates ideal routes for delivery drivers based on weather, traffic, construction, and other factors using data science-backed statistical modeling and algorithms. Each year, data science is predicted to save the logistics industry up to 39 million gallons of fuel and over 100 million transportation miles.

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com

Career and Job opportunities after a Data Science professional Certification course So, after you finish the data science certification course online, you’re perhaps stuck with the question- what happens next. You have a wealth of data science options to choose from. Let’s have a look at a few of them and see where you might fit in!

Data Scientist: The primary responsibility of a Data Scientist is to extract useful information from organized and unstructured data using computer programming tools and techniques. They are also responsible for developing a process and plan for presenting data to stakeholders. They are also expected to keep databases up to date.

Data Analyst: A Data Analyst is in charge of evaluating data, finding trends, and developing a predictive model based on the information gathered. Another important role of a Data Analyst is to interpret findings into reports that management can understand and assist them in accurately visualizing the potential outcome. They are also responsible for the upkeep of databases and data systems.

Data Engineers: They are responsible for analyzing data, developing data set processes, preparing the prediction model, and developing algorithms that allow stakeholders to readily consume raw data. It could entail creating

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com

dashboards and reports that all stakeholders can view and use. To understand the needs and aspirations of clients, data engineers must have excellent communication skills.

Data Mining Engineer: A Data Mining Engineer’s job includes extracting and analyzing data from a large database. They’re also in charge of developing and maintaining software and digital infrastructure for analyzing large amounts of data.

Data Architect: The Data Architect’s job is to make sure that the data needed to create a project plan is always stable, safe, and accessible to all stakeholders.

The work entails gathering, collecting, centralizing, managing, and safeguarding data for a corporation or client.

Data Statistician: This position entails crucial responsibilities such as data extraction utilizing statistical approaches, as well as data analysis, organization, and contextualization. A Data Statistician’s job is to run tests to assess the data’s dependability and accuracy.

Project Manager: Data mining, extraction, testing, analysis, and application for producing a blueprint is a broad field of activity that necessitates management to maximize project resources. A project manager’s job is to supervise and guide the project’s execution. They serve as a conduit between

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com

the team and the clients, allowing them to communicate project needs and modifications.

Top Hiring companies for Data Scientists Data scientists are in high demand, and even government agencies are recognizing that data science is the way of the future. The following are some of the top companies in India that hire a lot of Data Scientists: 

Amazon



Deloitte



Fractal Analytics



LinkedIn



MuSigma



Flipkart



IBM



Accenture



Citrix



Myntra

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com



Dexlock



Analytics by Rudder

Owing to the expansive relevance of data science, numerous data science certifications have also come to the shore. Each certifications train professionals in the specific relevant skills. Let us list down a few of the job positions that individuals can seek for corresponding to their certification and training: Career Opportunities for Professionals with Certification in R Programming: 

R Programming Trainer



Software Engineer — Python/R/Machine Learning



Data Analyst



Lead Python Developer



Analytics Consultant — R/Python



Data Scientist — R/Statistical Modelling



Data Analyst — R/Python/Tableau



R Package Developer

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com



Data Scientist



MATLAB/R Programmer

Career Opportunities for Professionals with Certification in Machine Learning: 

AI and Machine Learning Expert



Data Science Engineer



Manager — Machine Learning



Senior Data Scientist



Data Scientist — Machine Learning/AI



Senior Business Analyst — Machine Learning



Computer Vision Engineer



ML Specialist



Python Programmer — Machine Learning



Senior Manager — Machine Learning



Team Lead — Database Administration



Lead Data Scientist

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com

Career Opportunities for Professionals with Certifications in Clinical Data Science : 

Senior Data Manager, Clinical Data



Clinical Data Coordinator



Clinical Data Scientist



Lab Data Analyst



Senior Data Manager



DDS Lead — Pharma Analytics



Clinical Data Analytics Specialist



Data Scientist Developer



Data Analyst — Clinical/Healthcare/Pharma



Data Engineer



Clinical Data Coder



Clinical Analyst



Clinical Data Programming Associate



Lead Research Engineer

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com



Clinical Data Programming Analyst



Data Monitoring Associate (GSS)

Career Opportunities for Professional with Certification in Statistical Data Science : 

Senior Analyst — Advanced Analytics



Manager — Credit Fraud Risk



Senior Manager — Data Scientist



Fractal Analytics — Lead Data Scientist



Data Scientist — NLP/Data Mining



Process Manager — Data Science



Associate Data Scientist (Ml, Python)



Manager — Business Intelligence/Analytics



Data Analytics (Manager)



Senior Data Scientist — Machine Learning/AI

Career Opportunities for Professionals with Certification in Applied Data Science:

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com



Machine Learning Applied Research Scientist



Machine Learning Scientist



Lead Applied ML/Big Data Engineer



Senior/Lead Applied Scientist



Applied Data Scientist



Customer Facing Data Scientist



Principle Data and Applied Scientist



Applied Research Engineer/Scientist



Applied Scientist, Advertising



Applied AI Researcher



Principal Data and Applied Scientist Manager



Applied Scientist (Machine Learning)

Since all of the roles employ the same data, machine learning, and analytics methodologies, they will overlap a little. However, it is the application that makes it special. Data analysts use it to create stories, data scientists use it to uncover patterns in data, and data engineers use it to organize everything in data warehouses.

Address :- 2-Industrial Park Drive, E -Waldorf, MD, 20602, United States Phone: +1-844-889-4054 Email.id :- info@careerera.com

Getting a job as a data scientist is simple, provided you study well and have adequate help throughout your placement. Hence, the first and the ideal step in learning about regression, classification, and decision trees utilizing platforms like Python would be to enroll in a data science professional certification online program.

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