Supercharge your career with this high-powered Post Graduate Program, offering Data Science certification in Kuala Lumpur. The program, conducted in collaboration with Purdue University and IBM, effectively fuses theory, hands-on practice, and case studies. Earn your Data Science certification in Kuala Lumpur now.
Data Science certificate from Purdue, the 8th most innovative university in the US.
Dedicated course on Generative AI, Prompt Engineering, ChatGPT and more
Obtain certificates for IBM courses and get access to masterclasses by IBM
Acquire practical experience through 25+ hands-on projects and 20+ tools with integrated labs
The Post Graduate Program in Data Science teaches you the right tools and techniques, from Python to Machine Learning, and more. The Data Science certification in Kuala Lumpur course provides hands-on labs and projects, bringing the teaching to life. Expert instructors from IBM and Purdue University teach and advise students in the Data Science certification in Kuala Lumpur course.
Key Features |
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Post Graduate Data Science certificate and Purdue alumni association membership |
Generative AI and Prompt Engineering: Dedicated course with live sessions |
Learn about ChatGPT, DALL-E, Midjourney & other prominent tools |
Masterclasses delivered by Purdue faculty and IBM experts |
Industry-relevant capstone projects in 3 domains |
25+ hands-on projects with seamless access to integrated labs |
Exclusive hackathons and Ask Me Anything sessions by IBM |
8X higher engagement in live online classes by seasoned academics and industry professionals |
Post Graduation in Data Science is an all-encompassing program in collaboration with Purdue University – leveraging Purdue's academic excellence in data science and Simplilearn's IBM partnership.
Embark on a carefully designed learning journey with this Post Graduation in Data Science program covering Generative AI, Explainable AI, prompt engineering, ChatGPT, statistics, Python, data analysis, ML, data visualization, and more. Elevate your data science skills and propel your career forward.
Get started with the Post Graduate Program in Data Science in partnership with Purdue University Online and explore everything about the domain. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.
Create your first Python program using variables, strings, functions, loops, and conditions.
Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.
Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.
The data science capstone project provides a valuable opportunity to apply the skills you have acquired during this program. With the guidance of dedicated mentors, you will address a real-world data science problem aligned with industry standards. This comprehensive project covers data processing, model building, and reporting business results and insights. It is the final step in your learning journey and enables you to demonstrate your Data Science expertise to potential employers.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.
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Utilize Python to analyze a clothing company’s sales data for Australia, and state by state help the company make data-driven decisions for the coming year.
Create ML programs to understand different factors for employee turnover. Implement various ML techniques for analyzing performance and suggest employee retention strategies.
Perform exploratory data analysis and cluster analysis to create cohorts of songs. Use this classification to build an efficient recommendation system.
Create an interactive Sales Dashboard for an apparel OEM in Tableau for the Sales department to use for ad-hoc analysis and reporting.
Prepare a dashboard to keep the police department and the city updated on the statistics of crime events. You are required to create a dashboard/story using Tableau.
Perform exploratory data analysis and hypothesis testing. The goal is to gain a better understanding of the various factors that contribute to customer acquisition.
Develop an e-commerce app on the Python platform that could categorize, add or remove items from the cart and support different payment options
Create a classification model using ten years of rainfall data to predict the weather for different locations across Australia
Utilize data science and machine learning methodologies. Identify fraudulent credit card transactions so that the end customers are not charged for items that they did not purchase
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.
The global Data Science Platform Market size was valued USD 95.3 billion in 2021, The market for data science platform is estimated to reach 322.9 USD billion in 2026.
Annual Job Growth By 2026
Expected New Jobs For Data Science By 2026
Average Annual Salary
This Post Graduation in Data Science Program is designed for working individuals from various sectors. The variety of students enriches class discussions and interactions.
The prevalence of big data in business decisions makes this a valuable course for working professionals and executives. This comprehensive online boot camp curriculum includes Business Intelligence/ Data Analytics, Natural Language Processing, Business Analytics, and Deep Learning.
Candidates can apply to this Post Graduation in Data Science Program in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.
Tell us why you want to enroll in the Post Graduate Program in Data Science
An admission panel will shortlist candidates based on their application
Selected candidates can start within 1-2 weeks
For admission to Post Graduation in Data Science, candidates should have:
The admission fee for this Post Graduation in Data Science is $ 2,790. This fee covers applicable program charges and the Purdue Alumni Association membership fee.
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Date
Time
Batch Type
6 May, 2024
21:30 MT
11 May, 2024 - 2 Dec, 2024
21:30 - 01:30 MT
Weekend (Sat - Sun)
For admission to this Post Graduate Program in Data Science in Malaysia, you should have:
The admission process consists of three simple steps:
To ensure money is not a barrier in the path of learning we offer various financing options to help you find this Data Science certification bootcamp in Malaysia more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of the bootcamp in Malaysia, you will be awarded a Post Graduate Program in Data Science certification by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.
Once you make the first installment of the Data Science certification bootcamp fee, you will also get access to a preparatory course. You will have to go through the assigned course before coming for the first class. The course will have 8-10 hours of self-paced learning content in the form of videos.
Our teaching assistants are a devoted group of subject matter experts who are here to help you pass the Data Science exam on your first try. From class onboarding through project mentorship and employment aid, they engage students proactively to ensure that the course route is followed and help you expand your learning opportunity.
Our highly skilled Data Science professors are all industry specialists with years of expertise. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile screening, technical Examination, and a training demo. We also ensure that only trainers with a high alumni rating stay on our staff.
You will be qualified for the certificate if you meet the following minimum criteria. This certificate will attest to your abilities as a Data Science specialist.
Course | Course completion certificate | Criteria |
Programming Refresher | Required | 85% of Online Self Paced completion |
Statistics Essential for Data Science | Required | |
Data Science with R | Required |
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Data Science with Python | Required | |
Machine Learning and Tableau | Required | |
Natural Language Processing | Required | |
Capstone Project | Required | Attendance of 1 live virtual classroom and successful completion of the capstone project |
Contact us by filling out the form on the right side of any Simplilearn page, utilizing the Live Chat option, or contacting help and support.
We provide email, chat, and phone help around the clock. We have a dedicated staff that provides on-demand support through our community forum. Furthermore, you will have lifelong access to the discussion forum, even when your course is completed.
If required, you can easily cancel your enrollment. After deducting an administration charge, we will reimburse the money. Please view our Refund Policy for more information.
The Post Graduate Program in Data Science in Malaysia is offered on a non-credit basis and is not transferable to a degree.
If you want to participate in this Purdue Data Science Program, you must have a bachelor's degree with a 50 percent (or above) average.
Data science studies large amounts of data using cutting-edge tools and methodologies to uncover hidden patterns, extract useful information, and make business choices.
Given the vast volumes of data created today, data science will continue to be essential for any company. As a result, both data and the need for Data Scientists will continue to increase.
The most in-demand job of the twenty-first century is Data Scientist, and for all the right reasons: the opportunity, earning potential, demand, and more. Other job oriented courses and Data Science career positions are in high order: Data Engineer, Data Architect, Data Analyst, and Business Analyst
A Data Scientist identifies the business issues that need to be answered and then develops and tests new algorithms for quicker and more accurate data analytics utilizing a range of technologies such as Tableau, Python, Hive, and others. A Data Scientist also collects, integrates, and analyses data to acquire insights and reduce data issues so that strategies and prediction models may be developed.
The field's potential is endless, and Data Science jobs provide many opportunities and high-paying incomes. Based on experience, region, and employer, India's typical Data Scientist compensation might range from Rs.1,000K to Rs.1,800K. (according to Glassdoor) The annual wage in the United States ranges from $113K to $150K. Discover other professional courses here.
Discover Your Future: Find More Business Intelligence Courses to Shape Your Career.
We have a specialized staff of admissions counselors that can assist you with your application for this Purdue Data Science Program.
Yes, even after completing the Purdue Data Science Program, you may access the course content.
It's always beneficial to learn new talents and broaden your knowledge. This Purdue Data Science Program was created in collaboration with Purdue University and is an excellent combination of a world-renowned curriculum and industry-aligned training, making this Post Graduate Program a superb choice
Yes, even if you have no prior understanding of Data Science, you may enroll in the Purdue Data Science Program since it will take you from the foundations to the top. You will gain all of the high fundamental Data Science abilities.
Data rules businesses all around the world. The more data-driven you are, the better off your company will be. Using data insights, you can make meaningful decisions, create strategies, and help your organization accomplish its goals faster. Enrolling in this comprehensive Data Science curriculum will undoubtedly provide you with a competitive advantage
These certifications and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our programs are not applicable for WES or similar services.
Through this course, you will gain a holistic understanding of the essentials of generative AI and its landscape, prompt engineering, Explainable AI, Conversational AI, ChatGPT and other LLMs.
The key learning objectives of this course are:
Understand the fundamentals of Generative AI models, including the working principles and various Gen AI models.
Comprehend the concept of Explainable AI, recognize its significance and identify different approaches to achieve explainability in AI systems.
Apply effective prompt engineering techniques to improve the performance and control the behavior of Generative AI models.
Understand ChatGPT, including its working mechanisms, notable features and limitations.
Identify and explore diverse applications and use cases where ChatGPT can be leveraged.
Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models
Recognize the ethical challenges of generative AI models and ChatGPT to ensure responsible data usage, mitigate bias and prevent misuse.
Understand the potential of Generative AI to revolutionize industries and explore prominent generative AI tools.
Gain insights into the future of Generative AI, its challenges and the steps needed to unlock its full potential.
Some of the key topics covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT” are:
Generative AI and its Landscape
Explainable AI
Conversational AI
Prompt Engineering
Designing and Generating Effective Prompts
Large Language Models
ChatGPT and its Applications
Fine-tuning ChatGPT
Ethical Considerations in Generative AI Models
Responsible Data Usage and Privacy
The Future of Generative AI
AI Technologies for Innovation