Every business now incorporates data science into their operations, particularly those that recognize the value of data and the potential applications of that knowledge. A data scientist's main responsibility is to draw practical conclusions from complicated data so that you can make informed business choices. If you're considering how to become a data scientist, this employment guide can help you take the first steps toward a fulfilling career.. This blog provides an in-depth overview of the importance of becoming a data scientist and skills you must learn, most demanding certifications for data science including how you can prepare for their required exams.
Business in the future will be driven by data. Executives who recognize the value of data and technology are already ahead of the competition. Analytics are crucial for tomorrow's success across sectors, according to every business article and webinar. Many businesses have been able to progress more quickly by utilizing data. Others are falling behind because data-driven decision-making is not sufficiently supporting their business arguments. Data scientists are people who specialize in collecting and comprehending such data. In 2022, it will be one of the most sought-after professions worldwide.
Is Acquiring a Data Science Certification Worth It?
While a data science certification won't guarantee you employment, it will assist you in acquiring the practical expertise and professional portfolio required to be considered for a data science position. The finest data science certification programs will impart technical knowledge through project-based learning, allowing you to create a strong portfolio that focuses on practical data science scenarios.
The main focus of a successful professional certification will be the application of data science in business settings. You must exhibit strong technical proficiency in order to be hired in the industry, but that's not all. Additionally, you must demonstrate your capacity to recognize a business issue, frame it as a data science query, and use data storytelling to make a real-world business effect. Data science certificates that are worthwhile will show you the hard and soft skills required to be job-ready.
Average Salary of a Data Scientist
According to data from Glassdoor, the average salary for a data scientist in the United States is approximately $113,309 per year. However, salaries can vary depending on a variety of factors such as location, years of experience, industry, company size, and education level. For example, data scientists working in major tech hubs such as San Francisco or New York City may earn higher salaries due to the higher cost of living in those areas. Similarly, those with more years of experience or advanced degrees may earn higher salaries compared to entry-level data scientists. Additionally, the specific industry or company the data scientist works for may also affect their salary.
Responsibilities Of Data Scientists And the Skills They Need
Data scientists' main responsibility is to analyze data, frequently large amounts of it, in order to find information that can be shared with business leaders, managers, and employees, as well as with public officials, health care providers, researchers, and numerous other organizations. Additionally, data scientists develop AI tools and technologies that are used in a variety of uses. In both situations, they collect data, create analytical models, train, evaluate, and apply the models to the data.
In order to succeed, data scientists need a variety of skills, including those in data preparation, data mining, predictive modeling, machine learning, statistical analysis, and mathematics, as well as expertise with algorithms and coding, such as knowledge of Python, R, and SQL. Many are also tasked with producing dashboards, reports, and data visualizations to illustrate analytics results.
Some of the most popular data science certifications that people are seeking to advance their careers are listed below:
Arcitura Education Certified Big Data Science Professional
The BDSCP Modules 1, 2, and 3 are the components of the Big Data Science Professional program. In order to complete project requirements and address real-world issues, participants must implement their knowledge from earlier courses during a number of lab exercises that make up the final course module. Each participant receives an official digital Certificate of Completion from Acclaim/Credly as well as a digital Training Badge after completing these classes as part of an online or in-person workshop.
An individual who has earned the title of Certified Big Data Science Professional has proven their proficiency in the basic Big Data technologies and practices, including analysis, analytics, and mechanisms found in modern Big Data environments and tools. A single exam or a series of examinations may need to be passed in order to earn the Big Data Science Professional Certification, depending on the exam format selected. Those who successfully finish this certification are given a digital Certificate of Excellence and a digital Certification Badge by Acclaim/Credly, which also offers an account that enables online certification status verification.
Microsoft Certified: Azure Data Scientist Associate
In order to implement and operate machine learning workloads on Azure, candidates for the Azure Data Scientist Associate Certification should have subject-matter expertise in data science and machine learning.
This position's duties include developing an environment that is suitable for handling data science workloads, managing scalable machine learning solutions, deploying them, and keeping an eye on them. Other duties include exploring data, developing pipelines, running jobs to get ready for production, and training machine learning models.
Skills measured:
- The abilities evaluated on the exam for this certification are listed on this list. Visit the exam details website and download the study guide for more information.
- Create and get ready a machine learning remedy.
- Examine the evidence and develop models
- Create a deployment-ready model.
- Retrain and deploy a model
Oracle Cloud Infrastructure Data Science Certified Professional
Data scientists and other professionals in charge of developing data science solutions and overseeing the full lifecycle of machine learning models are the target audience for the Oracle Cloud Infrastructure Data Science Certified Professional Certification. The certification verifies a candidate's proficiency in recognizing OCI services that are used to execute machine learning solutions for particular business use cases. It also verifies a candidate's capacity to apply best practices in machine learning.
You will learn:
- To deploy an ML solution for a business use case, locate OCI services.
- Apply recommended practices for ML and cloud computing.
- To ingest, design, develop, train, optimize, deploy, integrate, and manage ML models, use Oracle Cloud Infrastructure Data Science.
- To build ML solutions, use OCI Data & AI services.
IBM Certified Specialist - AI Enterprise Workflow V1
A data scientist who is certified with IBM Certified Specialist - AI Enterprise Workflow V1 Certification is knowledgeable in the application of IBM techniques and tools for finding machine learning solutions to business issues using the design thinking methodology and lens. This includes having the capacity to link machine learning solutions to organizational needs and business goals and using knowledge when putting in place an enterprise AI workflow.
Requirements
Exam C1000-059: IBM AI Enterprise Workflow V1 Data Science Specialist
Exam Objectives
- Essentials of science, math, and technology for data science and Intelligence
- Commercial uses for data science and artificial intelligence
- AI and Data Science methods for understanding data
- Data Science and AI data processing methods
- Using data science and artificial intelligence methods and algorithms
- Assessment of AI algorithms
- application of AI algorithms
- The Technology Platform for AI and Data Science
Dell EMC Associate - Data Science Version 2.0
The learner can get started on big data and other analytics tasks right away thanks to this certification. The certification verifies the fundamental real abilities needed for a Dell EMC Associate Data Scientist.
Certification Requirements
Pass the Associate level exam listed below:
- DEA 7TT2 Associate Data Science and Big Data Analytics v2 Exam
This exam covers the theory and methods of advanced analytics and statistical modeling, the technology and tools that can be used for advanced analytics, operationalizing an analytics project, data visualization techniques, and the practice of data analytics. It also covers the role of the data scientist, the key phases of the data analytics lifecycle, data analysis and exploration with R, statistics for model building and evaluation, and more. The Dell EMC Proven Professional - Data Science Associate credential is awarded to successful applicants.
How To Prepare Well For Data Science Certification Exams?
No matter which Data Science certifications you are aiming for, make sure to conduct extensive research to discover the best study guides. Since the requirements for each of these certifications are high, it's crucial to be well-prepared before sitting for an exam. Do an in-depth search of the core concepts applied in Data Science and get hands-on experience. It is advised to use the official preparatory materials and study guides found on their official websites. Focus on those topics first which have high percentage coverage in the exam.
A crucial component is evaluating exam preparation with the aid of practice questions and mock exams. ExamsKit is recommended by Data Science Professionals for finding practice questions. You can use it to gauge your exam readiness and familiarize yourself with the exam setting. You'll be prepared to ace your data science certification exam with the proper study tools and perseverance.
In a Nutshell
These certifications vouch for a person's expertise applied in Data Science Applications. Statistics, machine learning, programming, data analysis, and data visualization are examples of the subjects they frequently discuss. Numerous institutions, business associations, and technology firms provide data scientist certifications. A Data Scientist certification can show that one is an expert in the field and may improve one's job prospects.