Data Science Certificate Course

Great Learning's online certificate courses in data science are designed to provide a comprehensive and immersive learning experience for aspiring data scientists. These courses cover a broad range of topics, such as data analysis, visualization, machine learning, and artificial intelligence. With a strong focus on real-world applications, Great Learning courses are developed in collaboration with leading industry partners and top-tier academic institutions.

Learners benefit from a structured curriculum, expert faculty, and hands-on projects that enable them to apply their skills in solving practical business problems. The courses also offer personalized mentorship, career support, and access to an extensive network of professionals and alumni. By enrolling in a data science certificate course from Great Learning, you'll be well-equipped to excel in the competitive data-driven job market.
 

List of the Best Online Certificates for Data Science
 

Here is detailed information on each data science professional certificate program tailored to assist aspiring data scientists in propelling their careers forward:
 

 

PG Program in Data Science and Business Analytics - The University of Texas at Austin (UT Austin)

Program Duration: 12 months

Who is it for?

The program is best suited for:

• Early career professionals.
• Aspiring data science professionals
• Executives wanting to expand their knowledge and expertise in the data science domain.
• Experienced professionals who want to stay competitive in the ever-evolving technology industry.
• Professionals and managers without technical background.
   

Program Highlights

• A comprehensive data science online certificate program designed in collaboration with UT Austin and Great Learning.
• Includes hands-on projects, real-world case studies, and a capstone project, ensuring learners can apply their skills effectively in real-world scenarios.
• World-renowned faculty and Great Learning’s dedicated career support, including personalized mentorship.
• Access to an extensive network of industry professionals and alumni.
   

 Data Science and Engineering Course - Bootcamp - Great Lakes Executive Learning

Program Duration: 5-months

Who is it for?

• The program is open for candidates in their final semester and recent graduates with 0-3 years of experience.
• Ideal for candidates with a degree in a quantitative discipline like engineering, mathematics, commerce, science, statistics, economics, etc.

Program Highlights

• Dedicated placement drives
• 1:1 live career mentorship with industry experts
• Personalized review of resumes and LinkedIn profiles
• 1:1 mock interviews with industry experts
• Access to 150+ job postings every month

 

PGP - Data Science and Engineering (PGP-DSE)

Program Duration: 9 months

Who is it for?

• The program is open for candidates in their final semester and recent graduates with 0-3 years of experience.
• Ideal for candidates with graduation in a quantitative discipline like engineering, mathematics, commerce, science, statistics, economics, etc. 

Program Highlights

• Designed to equip learners with the technical knowledge to help them resolve complex datasets and gain strategic insights.
• Comprehensive curriculum and industry-aligned approach that helps in meeting business challenges
• PL-300 Microsoft Power BI Data Analyst Certification program that gives you an edge over peers in the job market.
   

MIT IDSS Data Science and Machine Learning Program - MIT Institute for Data, Systems, and Society

Program Duration: 12 Weeks

Who is it for?

This program is for:

• Data Scientists, Data Analysts, and working professionals who wish to extract actionable insights from large volumes of data. 
• Early career professional and senior managers.
• For those who have some academic/professional training in applied mathematics/statistics.

Program Highlights

• This program is facilitated by world-class faculty from MIT, who share their expertise and insights to ensure a rich and engaging learning experience.
• Learners in the program also have access to personalized mentorship, career guidance, and an extensive network of professionals and alumni.
• The curriculum is designed to build industry-valued skills with live hands-on masterclasses, hands-on projects, and case studies.

 

MIT Professional Education Applied Data Science Program - MIT Professional Education (For Foreign Students)

Program Duration: 12 weeks

Who is it for?

This program is for:

• Professionals interested in Data Science and machine learning careers.
• Professionals interested in leading Data Science and machine learning initiatives in their companies.
• Entrepreneurs interested in innovation using Data Science and Machine Learning.

Program Highlights

• The program is led by renowned faculty from MIT, who share their expertise and insights to deliver a high-quality and engaging learning experience.
• Upon successfully completing the program, graduates receive a prestigious certificate from MIT Professional Education.
• Complete hands-on Data Science training through 6 projects under the guidance of industry experts.
   

Data Analytics Essentials - The University of Texas at Austin (For Foreign Students)

Program Duration: 16 weeks

Who is it for?

The program is for:

• Recent graduates and early career professionals looking to acquire job-ready skills in the fields of business intelligence and data analytics can enroll in this course.
• The course trains and prepares students for a business analyst or data analyst job.
• Candidates who are looking to enter the world of data and leverage it to make analytical decisions across several industries.
• Candidates who want to develop the fundamentals of data analysis over a condensed timeframe with a realistic resource investment.

Program Highlights

• Designed by the world-renowned faculty at the University of Texas at Austin.
• Customized curriculum designed to build industry-valued skills and live sessions are given by industry experts.
• Enhance your resume and secure career opportunities with GreatLearning’s career support services.
   

MS in Data Science Programme - Northwestern University

Program Duration: 18 months

Who is it for?

Students who have completed a 4 year U.S. bachelor’s degree or equivalent.

Program Highlights

• The program is facilitated by distinguished faculty from Northwestern University.
• Participants also have the opportunity to interact with industry practitioners, gaining valuable guidance and knowledge.
• Learners in the program benefit from dedicated career support, enabling them to make informed decisions about their career path in data science.
   

Deakin University Master of Data Science - 24 Months - Deakin University

Program Duration: 24 months

Who is it for?

• Applicants must hold a bachelor's degree (minimum 3-year program) in a related field or a bachelor's degree in any discipline with at least 2 years of professional work experience.
• The applicants must meet Deakin University’s minimal English language requirement.

Program Highlights

• Gain recognition of a global master's degree from Deakin University, PG Certificates from the University of Texas at Austin, and Great Lakes Executive Learning.
• A stimulating teaching, learning, and research environment with state-of-the-art learning tools and facilities.
• Gain practical skills from project-based learning and become industry-ready with mentorship from experts.
   

Deakin University Master of Data Science - 12 Months - Deakin University

Program Duration: 12 months

Who is it for?

This program is an exclusive master's degree program offered only to PGP-DSBA and PGP-AIML learners.

Program Highlights

• Focus on a well-rounded education in data science, with a strong emphasis on practical skills and industry relevance.
• Hands-on projects and real-world case studies ensure learners can effectively apply their skills in various industry scenarios.
• Get a global master's degree at 1/10th the cost as compared to a 2-year master's.
   

M.Tech in Data Science and Machine Learning - PES University

Program Duration: 2.5 years

Who is it for?

• For professionals who want to become data proficient and build career competencies.
• Professionals who are interested in building real-world Data Science skills.
• Applicants must have completed a minimum of 24 months of work experience.

Program Highlights

• A 2.5-year weekend classroom program, classes are held at the PES University campus.
• Receive an M.Tech degree from PES University.
• Get an M.Tech Degree from PES University in Data Science and Machine Learning.

 

Master of Science in Business Analytics (Eller College of Management)

Program Duration: 18 months

Who is it for?

The program is for:

• Young early career professionals looking to go abroad and master data-driven decision-making for the business.
• Mid and senior-level professionals looking to go abroad and stay up to date with the latest business analytics skills needed for success in the digital world. 
• Professionals who wish to transition to a Business Analytics career with industry-ready skills and knowledge.

Program Highlights

• NO GRE or TOEFL is required
• 3 year STEM OPT USA Visa
• Save up to INR 55+Lakhs
   

MS Data Analytics (Walsh College)

Program Duration: 2 years

Who is it for?

The program is for:

• Young early career professionals looking to go abroad and master data-driven decision-making for the business.
• Mid and senior-level professionals who are looking to go abroad and stay up to date with the latest business analytics skills needed for success in the digital world. 
• Professionals who wish to transition to a Business Analytics career with industry-ready skills and knowledge.

Program Highlights

• No GRE/TOEFL/GMAT required
• Upto 3 years STEM OPT VISA in the US
• Save up to INR 45 Lakhs
   

M. Sc. in Big Data and Business Analytics (FOM International University)

Program Duration: 24 months

Who is it for?

• Young early career professionals looking to go abroad and master the usage of big data and business analytics with the latest business methods.
• Mid and senior-level professionals who are looking to study abroad and gain in-demand big data and business analytics needed for success in the digital world.
• Professionals who wish to transition to a global management career with industry-ready skills and knowledge.

Program Highlights

• No GRE/GMAT is required
• Upto 18 months Job Seeker VISA in Germany
• Save up to INR 27 Lakhs

 

Job Opportunities After Earning a Data Science Certificate Online
 

Earning a data science certificate online opens up many job opportunities across various industries as organizations increasingly rely on data-driven insights to make informed decisions and gain a competitive edge. Professionals with data science skills are in high demand, and a data science certificate can help showcase your expertise, making you a strong candidate for numerous positions.

Some of the job opportunities after earning the certificate include:
 

• Data Scientist: As a data scientist, you'll analyze complex data sets, develop machine learning models, and leverage statistical techniques to extract actionable insights to help organizations make better decisions and optimize their operations.
   

• Data Analyst: Data analysts are responsible for collecting, processing, and interpreting data to help organizations identify trends, anomalies, and opportunities. They often use various data visualization tools to communicate their findings to stakeholders.
   

• Machine Learning Engineer: They develop, deploy, and maintain machine learning models and algorithms and work closely with data scientists to create scalable solutions that can handle large volumes of data and improve business processes.
   

• Data Engineer: Data engineers design, build, and maintain the data infrastructure that supports data science initiatives. They ensure data quality, develop data pipelines, and manage databases, enabling data scientists and analysts to access and analyze data efficiently.
   

• Business Analyst: A business analyst uses data to generate insights and create visualizations that help organizations understand their performance, identify areas for improvement, and make informed strategic decisions.
   

• Data Science Consultant: Data science consultants work with clients to identify data-driven solutions to various business problems. They leverage their expertise in data science, analytics, and machine learning to develop customized strategies and recommendations.
   

• Research Scientist: Research scientists in data science focus on advancing the field by developing new algorithms, techniques, and methodologies. They often work in academic or research institutions, contributing to the broader knowledge base of data science.
   

• Big Data Architect: Big data architects design and build the technical infrastructure to handle large volumes of structured and unstructured data. They work with data engineers and data scientists to ensure the data is stored and processed effectively for analysis.
   

These are just a few examples of the many job opportunities available after earning a data science certificate. The demand for skilled data professionals continues to grow, and a data science certificate can help you stand out in the job market, opening doors to rewarding career opportunities across diverse industries.
 

Salaries Offered After Earning a Data Science Certificate

Salaries for data science job roles can vary significantly based on factors such as experience level, location, industry, and specific job title. It's essential to note that the following salary figures are approximate and can change over time.

Here are some examples of the average annual salaries for various data science job roles after earning a data science certificate:
 

• Data Scientist: Data scientists typically earn between $80,000 and $200,000 annually, with more experienced professionals potentially earning higher salaries.
   

• Data Analyst: The average annual salary for a data analyst ranges from $50,000 to $110,000, with more experienced analysts earning higher compensation.
   

• Machine Learning Engineer: Machine learning engineers earn between $90,000 and $200,000 annually, depending on their experience and expertise.
   

• Data Engineer: Data engineers typically earn between $70,000 and $150,000 annually, with more experienced professionals commanding higher salaries.
   

• Business Analyst: The average annual salary for a business analyst ranges from $55,000 to $100,000, with more experienced analysts earning higher compensation.
   

• Data Science Consultant: Data science consultants can earn between $80,000 and $135,000 per year, depending on their experience, expertise, and the specific consulting projects they work on.
   

• Research Scientist: Research scientists in data science typically earn between $60,000 and $150,000 per year, with more experienced professionals and those working in specialized research areas potentially earning higher salaries.
   

• Big Data Architect: Big data architects can earn between $90,000 and $200,000 annually, depending on their experience and expertise in managing large-scale data infrastructure.
   

It's essential to remember that these salary figures are approximate and can vary based on factors such as the cost of living in different locations, the size and sector of the employing organization, and the individual's level of education, experience, and expertise. Additionally, bonuses, stock options, and other benefits may play a role in the overall compensation package for data science professionals.