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)

It is a comprehensive data science online certificate program designed in collaboration with UT Austin and Great Learning. The course, spanning 12 months, is taught through a blend of live virtual sessions and self-paced learning that equips learners with in-demand skills and knowledge in this cutting-edge field, along with a data science specialization in business analytics. 

The curriculum covers a wide range of topics, including data exploration, visualization, statistical modelling, machine learning, and business analytics, with a strong emphasis on practical applications in various industries. It also includes hands-on projects, real-world case studies, and a capstone project, making sure that learners can apply their skills effectively in real-world scenarios.

Participants in the program benefit from the expertise of UT Austin's world-renowned faculty and Great Learning’s dedicated career support, including personalized mentorship and access to an extensive network of industry professionals and alumni.
 

Certificate Offered:

Upon successful completion, graduates receive dual certificates from prestigious universities, UT Austin and Great Lakes Executive Learning. They add credibility to their professional profile and help them stand out in the competitive job market. These certificates testify to their skills and knowledge in data science and business analytics, increasing their career prospects and growth opportunities.

 

• PG Program in Data Science and Business Analytics (Classroom) - Great Lakes Executive Learning

This intensive data science course online with a certificate, spanning 12 months, is offered by Great Lakes Executive Learning, a leading institution for professional education. It aims to provide aspiring data scientists and business analysts with a comprehensive and hands-on learning experience in a classroom setting.

The program's curriculum covers a wide array of topics, including data exploration, visualization, statistical modeling, machine learning, and business analytics. The focus is on real-world applications across various industries, ensuring learners develop the practical skills to excel in their careers.

The program features a blend of immersive classroom lectures and hands-on projects facilitated by experienced faculty from Great Lakes and industry experts. Additionally, learners will work on a capstone project and real-world case studies, enabling them to apply their newly acquired skills in solving practical business problems.

Participants in the program benefit from dedicated career support that ensures a well-rounded and engaging learning experience. The services include the following:

• Get personalized mentorship

• Access to 20,000+ job opportunities

• Review of resumes and LinkedIn profiles

• Assessment of online portfolios

• Mock interview sessions for interview preparation

• Access to a vast network of professionals and alumni
   

Certificate Offered:

Upon successful completion of the program, graduates receive a highly regarded certificate from Great Lakes Executive Learning. This certificate validates their data science and business analytics expertise, enhancing their professional credibility and making them more competitive in the job market. Armed with this certificate, learners can confidently pursue new career opportunities and growth in the cutting-edge fields of data science and business analytics.

 

• MIT Data Science and Machine Learning Certificate - MIT Institute for Data, Systems, and Society

This online certificate program in data science and machine learning is a prestigious online course designed for professionals seeking expertise in data science and machine learning. This 12-week program is tailored to provide learners with cutting-edge knowledge and practical skills in these rapidly evolving fields.

The program's curriculum covers essential topics such as data analysis, predictive modelling, machine learning, deep learning, reinforcement learning, recommendation systems, and ChatGPT. It also incorporates real-world case studies and hands-on projects, which enable learners to apply their skills to solve complex problems across various industries.

This program is facilitated by world-class faculty from MIT, who share their expertise and insights to ensure a rich and engaging learning experience. Participants have the opportunity to learn from and interact with industry experts, benefitting from their expertise and knowledge.

Learners in the program also have access to personalized mentorship, career guidance, and an extensive network of professionals and alumni, which can help them navigate their career paths in data science and machine learning more effectively.
 

Certificate Offered:

Upon successfully completing the program, graduates receive a prestigious certificate from the MIT IDSS. This certificate serves as a testament to their expertise in data science and machine learning, enhancing their professional credibility and increasing their competitiveness in the job market. With this certificate, learners are well-equipped to pursue rewarding career opportunities and growth in data science and machine learning.

 

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

The program, offered by MIT Professional Education, is an online program designed to equip professionals with practical skills and knowledge in applied data science. This 12-week program aims to provide an in-depth understanding of data-driven decision-making and advanced analytics techniques.

The program's curriculum covers a wide range of topics, such as data analysis and visualization, statistical modeling, machine learning algorithms, deep learning, recommendation systems, and ChatGPT. The course also includes hands-on projects and real-world case studies, allowing learners to apply their skills in solving practical business problems across diverse industries.

The program is led by renowned faculty from MIT, who share their expertise and insights to deliver a high-quality and engaging learning experience. Participants can also benefit from interactions with industry experts, who provide valuable guidance and knowledge.

Learners in the program have access to personalized mentorship, career support, and a vast network of professionals and alumni, which can help them make informed decisions about their career trajectory in applied data science.

Certificate Offered:

Upon successfully completing the program, graduates receive a prestigious certificate from MIT Professional Education. This certificate demonstrates their proficiency in applied data science, enhancing their professional credibility and making them more competitive in the job market. With this certificate, learners are well-prepared to pursue exciting career opportunities and growth in data science and advanced analytics.

 

• Data Analyst Course for Beginners - The University of Texas at Austin (For Foreign Students)

It is an online course designed to provide professionals and aspiring analysts with a solid foundation in data analytics. This 3-month program aims to equip learners with essential skills and knowledge in data analysis, visualization, and statistical techniques.

The program curriculum covers critical topics such as data exploration, data cleaning, data visualization, statistical modeling, and ChatGPT. The course also emphasizes using popular tools and software, such as Excel, R, and Tableau, enabling learners to analyze, interpret, and present data effectively in various business contexts.

This program is facilitated by experienced UT Austin faculty who share their expertise and insights to deliver a high-quality and engaging learning experience. Participants can also benefit from interactions with industry experts, who provide valuable guidance and knowledge.

Learners in the program have access to dedicated career support from Great Learning’s platform, GL Excelerate, which helps them make informed decisions about their career path in data analytics. The services include the following:

• Get personalized career sessions with industry experts

• Review of resumes and LinkedIn profiles

• Assessment of e-portfolios

• Mock interview sessions for interview preparation

• Access to a vast network of professionals and alumni
   

Certificate Offered:

After successfully completing the program, graduates receive a prestigious certificate from the University of Texas at Austin (UT Austin), which validates their skills in data analytics, enhancing their professional credibility and making them more competitive in the job market. With this certificate, learners are well-equipped to pursue rewarding career opportunities and growth in the field of data analytics.

 

• Data Science Online Certificate - Great Lakes Executive Learning

It is a data science specialization certificate program designed to equip professionals and aspiring data scientists with in-demand skills and knowledge in data science and engineering. This 9-month online program focuses on providing learners with a well-rounded and immersive learning experience.

The program's curriculum covers a wide range of topics, such as data exploration, visualization, statistical modeling, machine learning, and text mining. The course also emphasizes hands-on projects and real-world case studies, along with a capstone project, ensuring learners can apply their skills effectively in real-world scenarios.

This program is led by experienced faculty from Great Lakes and industry experts who share their expertise and insights to deliver a high-quality and engaging learning experience. Participants can also benefit from interactions with industry practitioners, who provide valuable guidance and knowledge.

Learners in the program have access to dedicated career support, which helps them make informed decisions about their career path in data science and engineering. The services include the following:

• 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

• Break into in-demand data science roles with 10 guaranteed job opportunities
   

Certificate Offered:

Upon successful completion of the program, graduates receive a prestigious certificate from Great Lakes Executive Learning, which validates their expertise in data science and engineering, enhancing their professional credibility and making them more competitive in the job market. This data science specialization certificate prepares learners to pursue exciting career opportunities and growth in this leading-edge discipline.

 

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

It is an intensive program designed to provide professionals and aspiring data scientists with a thorough understanding of data science concepts and techniques. This 5-month full-time program combines a blend of classroom learning and hands-on projects to deliver an immersive learning experience.

The program's curriculum covers a broad range of topics, including data exploration, visualization, statistical modeling, machine learning, and text mining. The course strongly emphasizes practical applications, incorporating hands-on projects, capstone assignments, and real-world case studies, ensuring learners can effectively apply their skills in various industry scenarios.

The program is facilitated by experienced faculty from Great Lakes and industry experts, who share their expertise and insights to provide a high-quality and engaging learning experience. Participants also have the opportunity to interact with industry practitioners, gaining valuable guidance and knowledge.

Learners in the program have access to dedicated career support, which helps them make informed decisions about their career path in data science and engineering. The services include the following:

• 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

• Break into in-demand data science roles with 10 guaranteed job opportunities
   

Certificate Offered:

Upon successful completion of the program, graduates receive a prestigious certificate from Great Lakes Executive Learning, which attests to their expertise in data science and engineering, enhancing their professional credibility and making them more competitive in the job market. This certificate prepares learners to pursue rewarding career opportunities and growth in this leading-edge discipline.

 

• Master's in Data Science - Northwestern University

The online master’s degree in data science, offered by Northwestern University, is an advanced degree program designed for professionals and aspiring data scientists seeking a comprehensive and rigorous education in data science. This full-time, online program takes 18 months to complete and focuses on providing a well-rounded and in-depth understanding of data science concepts, techniques, and applications.

The program's curriculum covers a broad range of topics, including statistical modeling, data exploration, visualization, machine learning, artificial intelligence, and deep learning. The course strongly emphasizes research and practical applications, incorporating hands-on assignments and a capstone project, ensuring learners can effectively apply their skills in various industry scenarios.

The program is facilitated by distinguished faculty from Northwestern University, who share their expertise and insights to provide a high-quality and engaging learning experience. 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. The services include the following:

• Dedicated placement process

• Access to curated jobs

• Personalized career mentorship from industry experts

• Mock interviews with industry experts
   

Certificate Offered:

After successfully completing the program, graduates receive a world-class master's degree in data science from Northwestern University, which attests to their advanced expertise in data science, enhancing their professional credibility and making them more competitive in the job market. With this degree, learners are well-prepared to pursue rewarding career opportunities, leadership roles, and growth in the cutting-edge field of data science.

 

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

The online master of data science offered by Deakin University is a comprehensive degree program for professionals and aspiring data scientists seeking an in-depth understanding of data science concepts, techniques, and applications. This 24-month, full-time program focuses on providing a well-rounded education in data science, with a strong emphasis on practical skills and industry relevance.

In the first 12 months, students will begin with the PG Program in Data Science and Business Analytics (PGP-DSBA) or the PG Program in Artificial Intelligence and Machine Learning (PGP-AI/ML) from UT Austin. Upon completing either program, they will continue their learning journey with Deakin University’s 12-month master of data science program.
 

PG Program in Data Science and Business Analytics:

The curriculum covers data exploration, visualization, statistical modelling, machine learning, and business analytics, strongly emphasizing practical applications in various industries. It also includes hands-on projects, real-world case studies, and a capstone project, making sure that learners can apply their skills effectively in real-world scenarios.
 

PG Program in Artificial Intelligence and Machine Learning:

The curriculum covers supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and computer vision. The course incorporates hands-on projects, real-world case studies, and a capstone project, ensuring learners can apply their skills in various industry scenarios.
 

Master of Data Science:

The program’s curriculum covers engineering AI solutions, mathematics for AI, machine learning, modern data science, real-world analytics, and data wrangling. The course incorporates hands-on projects and real-world case studies, ensuring learners can effectively apply their skills in various industry scenarios.

The master of data science program is facilitated by experienced faculty from UT Austin, Great Lakes Executive Learning, and Deakin University. They share their expertise and insights to provide a high-quality and engaging learning experience. Participants also have the opportunity to interact with industry practitioners, gaining valuable guidance and knowledge.

Students in the program benefit from Great Learning’s dedicated career support, which helps them make informed decisions about their career path in data science.

The services include the following:

• Access to curated jobs

• Resume building sessions

• Mock interviews for interview preparation with industry experts

• Personalized career mentorship from industry experts

• Access to an extensive network of industry professionals and alumni
   

Certificate Offered:

After successfully completing the program, graduates receive three certificates that are as follows:

• PG Certificates in PGP-DSBA or PGP-AI/ML from UT Austin and Great Lakes Executive Learning

• Master of Data Science (Global) Degree from Deakin University

This degree attests to their advanced expertise in data science and business analytics or artificial intelligence and machine learning, enhancing their professional credibility and making them more competitive in the job market. With this degree, learners are well-prepared to pursue rewarding career opportunities, leadership roles, and growth in these cutting-edge fields.

 

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

The online master of data science offered by Deakin University is a comprehensive degree program for professionals and aspiring data scientists seeking an in-depth understanding of data science concepts, techniques, and applications. This 12-month, full-time program focuses on providing a well-rounded education in data science, with a strong emphasis on practical skills and industry relevance.

Graduates of the PGP-DSBA and PGP-AIML are eligible to enroll in the 12-month master of data science program. The program’s curriculum covers engineering AI solutions, mathematics for AI, machine learning, modern data science, real-world analytics, and data wrangling. The course incorporates hands-on projects and real-world case studies, ensuring learners can effectively apply their skills in various industry scenarios.

The program is facilitated by experienced Deakin University faculty who share their expertise and insights to provide a high-quality and engaging learning experience. Participants also have the opportunity to interact with industry practitioners, gaining valuable guidance and knowledge.

Students in the program benefit from Great Learning’s dedicated career support, which helps them make informed decisions about their career path in data science.

The services include the following:

• Access to curated jobs

• Resume building sessions

• Mock interviews for interview preparation with industry experts

• Personalized career mentorship from industry experts

• Access to an extensive network of industry professionals and alumni
   

Certificate Offered:

After successfully completing the program, graduates receive a master of data Science degree from Deakin University, which attests to their advanced expertise in data science, enhancing their professional credibility and making them more competitive in the job market. With this degree, learners are well-prepared to pursue rewarding career opportunities, leadership roles, and growth in data science.

 

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

It is an advanced M.Tech degree program for working professionals seeking a comprehensive and in-depth understanding of data science and machine learning concepts, techniques, and applications. This full-time program focuses on providing a well-rounded education in data science and machine learning, emphasizing practical skills and industry relevance.

The program's curriculum covers a broad range of topics, including data visualization, statistical modeling, machine learning, deep learning, big data analytics, natural language processing, and computer vision. The course incorporates a capstone project and an M.Tech thesis, ensuring learners can effectively apply their skills in various industry scenarios.

The program is facilitated by experienced PES University faculty who share their expertise and insights to provide a high-quality and engaging learning experience. Participants also have the opportunity to interact with industry practitioners, gaining valuable guidance and knowledge.

Learners in the program benefit from dedicated career services, which are as follows:

• Opportunities from leading companies

• Resume building sessions

• Mock interviews for interview preparation by industry experts

• Personalized career guidance and mentorship from industry experts
   

Certificate Offered:

After successfully completing the program, graduates receive a Master of Technology (M.Tech) degree in data science and machine learning from PES University, which attests to their advanced expertise in data science and machine learning, enhancing their professional credibility and making them more competitive in the job market. 

 

Job Opportunities After Earning a Data Science Certificate Online
 

Earning a data science certificate online opens up a plethora of 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.