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About Great Learning

Location: Online

Great Learning is a leading global ed-tech company for professional and higher education with million+ learners across 170+ countries. It offers industry-relevant programs in data, management, and technology domains. Its programs are developed in collaboration... Read More

Courses

Advanced Digital Marketing and Growth Strategies

Cost: $3,000
Duration: 12 weeks
Locations: Online
Course Description:

The curriculum of this program has been developed by distinguished faculty from the Wharton School to meet the evolving needs of a digital business and help you learn how to use strategies that support better decision-making. Learners will be taught using a combination of learning methods. These include bite-sized lecture videos by Wharton faculty, cohort-based live synchronous sessions with industry experts and live sessions by Wharton Faculty, a three-week capstone project on digital marketing, and self-learning through reading material.

Applied Data Science Program

Cost: $3,900
Duration: 12 weeks
Locations: Online
Course Description:

In order to help you unravel the true worth of data, MIT Professional Education offers the Applied Data Science Program, which aims to prepare data-driven decision makers for the future. Through this 12-week program, you will be able to upgrade your data analytics skills by learning the theory and practical application of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, and computer vision to name a few.

Data Analytics Essentials

Cost: $2,200
Duration: 13 weeks
Locations: Online
Course Description:

Developed by a leading university (McCombs Schools of Business at The University of Texas, Austin), the program's core curriculum covers foundational concepts and key skills/tools required to excel as a data analyst.

Data Science and Machine Learning: Making Data-Driven Decisions

Cost: $2,300
Duration: 12 weeks
Locations: Online
Course Description:

This Data Science professional certificate program has been designed to meet the needs of data professionals looking to advance their careers and learn Data Science skills to solve complex business problems. In a short time period, the program aims to build your understanding of the most industry-relevant technologies of today, such as machine learning, deep learning, network analytics, recommendation systems, graph neural networks, and time series.

Future Leaders Programme

Cost: $1,800
Duration: 12 weeks
Locations: Online
Course Description:

The programme is specially designed for mid and senior-level managers who are looking to take up leadership roles in the near future. It takes a structured approach towards making you an effective leader and focuses on your professional growth, self-awareness, and teaches you leadership skills that can be applied to real-world situations.

No Code AI and Machine Learning: Building Data Science Solutions

Cost: $2,500
Duration: 12 weeks
Locations: Online
Course Description:

The program serves as a platform for business leaders and AI enthusiasts to leverage an application-based pedagogy and enables them to solve real business problems.

Post Graduate Program in Cloud Computing

Cost: $3,500
Duration: 26 weeks
Locations: Online
Course Description:

This program focuses on empowering professionals to advance their careers in Cloud Computing. In this 6-month intensive experiential program, learners get access to 100+ hours of online video content,12 lab sessions, and live weekend mentor sessions to reinforce their learnings with an industry perspective.

Post Graduate Programme in Cybersecurity

Cost: $2,800
Duration: 16 weeks
Locations: Online
Course Description:

The programme equips learners with the skills to investigate attacks and build robust Cybersecurity systems. It is ideal for cyber defense enthusiasts, enabling them to connect with thought leaders in the industry and understand the process of securing digital infrastructure.

Postgraduate Program in Artificial Intelligence & Machine Learning

Cost: $3,800
Duration: 26 weeks
Locations: Online
Course Description:

The program offers a comprehensive curriculum with cutting-edge technologies like Deep Learning, Computer Vision, NLP, TensorFlow, Generative AI like ChatGPT, and many more. The goal is to empower you with the skills, body of work, and job market insights you need to find the right career opportunities or lead AI and Machine Learning teams in your current organization.

Postgraduate Program in Data Science & Business Analytics

Cost: $3,800
Duration: 26 weeks
Locations: Online
Course Description:

The program has a comprehensive curriculum, covering the industry's most popular tools and techniques along with a hands-on learning approach. All this comes with the credibility, global advantage, and academic leadership of the McCombs Schools of Business at The University of Texas, Austin.

Great Learning Reviews

Average Ratings (All Programs)

Great Learning logo

4.93/5 (409 reviews)

Mesfin Admassie
Manager, Geotechnical Engineer | Graduated: 2025

9/30/2025

Overall

Curriculum

Job Support

"Efficient, High quality and Expertly Guided Training"

My experience with Great Learning has been nothing short of exceptional. They stand out as a beacon of excellence and efficiency.

Every aspect of their operation is finely tuned for success. The mentor assigned was not only a prominent expert in the field... Read More

The quality of the video content is top tier crisp, engaging, and always to the point, demonstrating a wise and respectful use of time. This excellence extends to their coordination and organization; their study materials are perfectly aligned and readily available, creating a seamless learning flow.

Most impressively, the course manager and the support team operate with incredible speed, resolving any queries almost instantly. This creates a frictionless environment where you can focus entirely on learning.

I am thoroughly satisfied and genuinely love the way they deliver their courses. Great Learning embodies the kind of efficient systems, quality training, and expert instruction that is desperately needed in the education industry today.

I wholeheartedly recommend Great Learning to my friends and anyone serious about catapulting their career to the next level. Choosing Great Learning is choosing a great learning journey and a significant investment in your professional future.

MUHAMMAD SAJID KHAN
Graduated: 2025

9/26/2025

Course
Postgraduate Program in Data Science & Business Analytics

Overall

Curriculum

Job Support

"Great Learning' as school, Course as 'Post Graduate Program in Data Science & Business Analytics"

I recently completed the Post Graduate Program in Data Science & Business Analytics with Great Learning, and it has been an incredible journey of growth and learning. The program not only strengthened my technical skills but also challenged me to think... Read More

Angelica Lopez Chavez
GLobal Financial Manager | Graduated: 2025

9/24/2025

Course
Postgraduate Program in Data Science & Business Analytics

Overall

Curriculum

Job Support

"Highly Recommended"

The Post Graduate Program in Data Science and Business Analytics with Great Learning has been an excellent learning experience. It is not only helping me strengthen my skills in Data Science and Business Analytics, but it has also opened a completely... Read More

The course is very comprehensive, the instructors are highly knowledgeable, and the support team from Great Learning is outstanding — their follow-up and guidance throughout the program have been amazing. Overall, it has been extremely valuable for both my personal development and my current work.

Sichalwe Joe
Economist - Foreign Statistic | Graduated: 2025

9/24/2025

Course
Postgraduate Program in Data Science & Business Analytics

Overall

Curriculum

Job Support

"Overall, my experience was overwhelmingly positive, as the program provided a robust, practical, and well-structured curriculum led by expert professionals that significantly enhanced my knowledge in data science and Python programming."

This program, led by expert faculty and industry professionals, has greatly enhanced my knowledge of data analysis, data science, and Python programming. It provides a robust and practical learning experience. Below is a summary of the program's strengths... Read More

Pros: What I Liked Most
• Excellent Foundational Structure: The program is exceptionally well-structured. It begins with the history and mathematical principles behind data science, making complex topics easy for anyone to understand and appreciate. Similarly, Python is taught from the ground up, building a strong foundation for all students, regardless of their prior experience.
• Practical, Real-World Application: The course is highly practical, featuring projects based on real-life scenarios. This approach ensures that you don't just learn the theory but also see exactly how it is applied in the workplace. The skills are immediately useful, and the projects are diverse, covering different professional fields which helps sharpen one's business understanding.
• Knowledgeable and Encouraging Tutors: The instructors were a key strength of the program. They were always on point when answering questions, were very encouraging, and provided valuable context on how technologies like Machine Learning and LLMs are evolving.
• Effective Learning Materials: The combination of well-structured videos, accompanying quizzes, and hands-on projects was critical for reinforcing my understanding of key concepts. This method helps solidify the knowledge and ensures a thorough grasp of the material.
• Accessible to All Backgrounds: Anyone can succeed in this program, regardless of their previous qualifications. While it is intensive in mathematics and Python, the curriculum is designed to guide every student to success.

Cons: Areas for Improvement
• Deeper Coverage of Advanced Topics: The program would benefit from expanding its curriculum on Large Language Models (LLMs). Key topics like Neural Networks and Reinforcement Learning should be included, even if only at an introductory level, followed by a practical case study or project.
• More Mathematical Background for LLMs: To support the expansion into LLMs, the course should incorporate more of the specific mathematical background required to fully understand how these advanced models work.

Anonymous
Graduated: 2025

9/17/2025

Course
Future Leaders Programme

Overall

Curriculum

Job Support

"A quick, practical introduction to ChatGPT in HR for beginners"

If you are new to ChatGPT and haven’t used it before, this is a great place to start. The course is short, practical, and focused on how AI can support HR. In just 1.5 hours, I gained a solid overview and learned how to apply ChatGPT to everyday HR tasks... Read More

Peter Ahumuza
Graduated: 2025

9/17/2025

Course
Data Science and Machine Learning: Making Data-Driven Decisions

Overall

Curriculum

Job Support

"Appreciation for Great Learning and Program Manager Tanvi Bhardwaj"

My experience with Great Learning has been truly rewarding. The course was well-structured, with a perfect balance of theory and hands-on projects that built my confidence in applying deep learning to real-world problems. I especially want to thank Tanvi... Read More

Anonymous
General Manager | Graduated: 2025

9/16/2025

Course
Postgraduate Program in Data Science & Business Analytics

Overall

Curriculum

Job Support

"Post Graduate Program in Data Science & Business Analytics was intensive and provided a deep learning path that has provided me the experience needed to enter the data science field."

The course was, by far, the most intensive on-line course I have ever been a part of. The course provided the depth of knowledge required to enter the field of data science and business analytics. I found the learning facilitators to be excellent and... Read More

The time commitment required was significant but necessary to learn the numerous and diverse agenda of learnings.

I found the course assignments to be relevant to real world issues and by completing them I can apply them to real work scenarios.

Overall, this was a very challenging course but I feel was worth all of the effort based on the amount of knowledge I am walking away with.

A 10 out of 10 in my book!

Manuel Fuentes
Software engineer | Graduated: 2025

9/16/2025

Course
Applied Data Science Program

Overall

Curriculum

Job Support

"Absolutely Outstanding Applied Data Science Program!"

I can confidently say that the “Applied Data Science Program:
Leveraging Al for Effective Decision-Making”, has been one of the best learning experiences of my professional career. The live sessions, practical examples, and personalized feedback made even... Read More

Abhijith Sreejith
Student | Graduated: 2025

9/12/2025

Course
Data Science and Machine Learning: Making Data-Driven Decisions

Overall

Curriculum

Job Support

"Empowering Data-Driven Decision Making"

Pros:
1. Comprehensive Curriculum: Covers the entire data science lifecycle — from EDA to advanced ML techniques — with real-world business problems.
2. High-Quality Instruction: Well-structured content, clear explanations, and detailed guidance from MIT... Read More

Cons:
Limited Peer Interaction: Discussion forums exist but could be more active for collaborative learning.

Tega Jimmy Efenure
Senior Production Chemist | Graduated: 2025

9/10/2025

Course
Postgraduate Program in Data Science & Business Analytics

Overall

Curriculum

Job Support

"As someone with no previous background in data analytics and programming, it was quite tough getting around and navigating through but as soon I settled in, it became interesting especially with the hands-on quizzes and weekly mentored learning sessi"

​The Post Graduate Program (PGP) in Data Science and Business Analytics, a collaboration between Great Learning and the McCombs School of Business at the University of Texas at Austin, is a comprehensive online program designed for working professionals... Read More

​A Hands-On and Comprehensive Curriculum
​The program's greatest strength is its practical, hands-on curriculum. Unlike purely theoretical courses, this PGP is structured around a "learn-by-doing" pedagogy, incorporating multiple real-world projects, case studies, and a capstone project. The curriculum covers foundational topics like statistics and data visualization before moving into more advanced areas such as machine learning and generative AI. Students are taught to master industry-standard tools and languages, including Python and SQL. The integration of Generative AI applications is particularly valuable, equipping students with skills in cutting-edge areas like prompt engineering and large language models (LLMs).

​Exceptional Mentorship and Support
​A significant highlight of the program was the personalized support and mentorship. Students benefited from weekly mentored learning sessions led by practicing data scientists and analytics experts. These sessions were crucial for clarifying complex topics and applying concepts to real-world scenarios. In addition, the support team, including dedicated Program Managers, were very proactive and responsive. This level of support ensured a smooth learning journey and helped students navigate the demanding nature of the program.

​Strong Career-Focused Outcomes
​The program is explicitly designed to drive career transitions and growth. The program's career services, which include one-on-one career mentoring, resume building, LinkedIn profile reviews, and mock interviews, are commendable. The focus on building a strong portfolio of projects is a major advantage for job readiness.

​A Demanding but Rewarding Journey
​While the program is highly effective, it is not without its challenges. The intensive, six-month duration and the heavy workload can be demanding, especially for working professionals balancing a full-time job. I particularly found it difficult to dedicate enough time to practice and assignments, emphasizing the need for significant time management and commitment. However, this rigor is also what makes the program so rewarding, ensuring that graduates are well-equipped with the skills needed to succeed in a competitive job market.

Final Verdict
​The Great Learning Post Graduate Program in Data Science and Business Analytics is an excellent and highly recommended investment for anyone serious about a career in data. The program successfully blends academic rigor from a top-tier business school with practical, industry-relevant skills. While it requires a substantial time commitment, the quality of the curriculum, expert mentorship, and robust career support make it a valuable and transformative learning experience that delivers on its promise of career growth and professional readiness.

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