35 Hrs / Hybrid
7 Case Studies : Across Domains, Algorithms
5 Month Free Zero Code tool Access
Zero Code
This Advanced Business Analytics course provides a comprehensive overview of business analytics and machine learning, starting with data analytics basics to emphasize its business relevance. It covers descriptive, diagnostic, predictive, and prescriptive analytics, teaching essential data fundamentals like types, sources, and challenges, along with data cleaning, transformation, and integration techniques. The course highlights data visualization best practices and tools such as Zero Code EDA, Tableau, and Power BI. Participants will learn statistical methods, including hypothesis testing, correlation, causation, t-tests, and chi-square tests.
Key machine learning concepts include regression, classification, clustering, and dimensionality reduction, using Zero Code tools for hands-on experience without coding. The course also explores AI trends like deep learning, neural networks, NLP, computer vision, and AI ethics. A capstone project allows participants to apply their knowledge to real-world scenarios, from data collection to model implementation and evaluation, culminating in a final report. By the end, participants will have a solid grasp of analytics and machine learning, ready to apply these skills in a business context.
A minimum of 80% attendance in the live sessions is a prerequisite for completing this program. In addition, there will be three mid-term quizzes and two assignments. The evaluations are designed to ensure continuous student interaction with the faculties and encourage learning. Participants who successfully complete the evaluations along with the requisite attendance criteria, a course-end evaluation, and project work will be awarded a certificate of completion by Zero Code. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a participation certificate.
Guiding you with expertise and insight on your learning journey.
Serial entrepreneur in Deep Tech, IT, and digital Transformation technologies. Built products, IP & platforms and successfully introduced to the market. Built profitable businesses. Functional expert in strategy, product creation, delivery, and marketing. Last corporate role with Philips Electronics.
25 years of engineering & technical experience in building solutions using engineering design, data analytics, machine learning & business intelligence, Industry 4.0, IOT & M2M focus to enable data collection, big data.
Responsible for developing and delivering training modules at Zero Code. 20+ years of industry experience in managing technologies in Intel, and Siemens with expertise in supply chain solutions, Machine Learning, Innovation, and Automotive Design Solutions.
20+ years of experience in Data Management and Data Architecture. Expertise in Master Data Management, Metadata Management and Analytics solutions. Led digital transformation initiatives at Intel, spanning across Sales & Marketing domains, focusing on building scalable data platforms.
Serial entrepreneur in Deep Tech, IT, and digital Transformation technologies. Built products, IP & platforms and successfully introduced to the market. Built profitable businesses. Functional expert in strategy, product creation, delivery, and marketing. Last corporate role with Philips Electronics.
25 years of engineering & technical experience in building solutions using engineering design, data analytics, machine learning & business intelligence, Industry 4.0, IOT & M2M focus to enable data collection, big data.
Responsible for developing and delivering training modules at Zero Code. 20+ years of industry experience in managing technologies in Intel, and Siemens with expertise in supply chain solutions, Machine Learning, Innovation, and Automotive Design Solutions.
20+ years of experience in Data Management and Data Architecture. Expertise in Master Data Management, Metadata Management and Analytics solutions. Led digital transformation initiatives at Intel, spanning across Sales & Marketing domains, focusing on building scalable data platforms.
Case Studies
Hands-on-Excercises
Quiz
Evaluation Questions
Capstone Project
Hear firsthand experiences and insights from our program participants.
This course exceeded my expectations for practical learning. I specifically sought a program that seamlessly integrated industry expertise. Zero Code Learning's program with their curated case-studies perfectly aligned with my needs. The curriculum addressed my requirements flawlessly, and I particularly appreciated the clear delivery, open discussions, and the valuable instruction on translating real-world problems into engaging classroom experiences. The hands-on learning component was a significant benefit, and I'm interested in subscribing to the zero-code platform for ongoing access to the materials and continued application in my research.
My aim was to upskill and secure a job aligning with my aspirations. The practical approach and real-life applications illustrated by zero code curated case-studies fulfilled my expectations. The zero-code tool's capability astonished me, facilitating comprehension of machine learning without coding. Industry-oriented case studies offered invaluable insights into problem-solving with machine learning. Interactive sessions and hands-on learning were standout features, complemented by supportive instructors.
Delighted to have discovered this course at IISc, it exceeded my expectations by focusing on core concepts and meeting my learning objectives precisely. The inclusion of curated case studies enriched the learning experience, alongside the in-depth exploration and the faculty's willingness to clear doubts on the basics of mathematics while at the same time explaining the intricacies of GEN AI and basics of LLM. Additionally, the instructors' dedication to facilitating student engagement through various communication channels was truly commendable.
Pleasantly surprised to find this course as excellent ROI. I found the case studies particularly valuable for applying theoretical knowledge. The open discussions and active class participation greatly enhanced my learning experience. Highly satisfied overall.
To me, this course provided a thorough understanding of machine learning and AI applications tailored to my job needs, enhancing my confidence for career shift, if ever I wanted to. Live sessions facilitated interactive learning, with high involvement and clear explanations from the Zero Code team. The depth of content exceeded expectations, offering a solid foundation for practical implementation. Overall, it met my expectations and effectively upskilled my data handling capabilities.
Your go-to resource for assistance and detailed information.
Zero code courses are uniquely designed for programmer and non-programmer learners of data science and machine learning. These courses are integrated with ML and GenAI tools which are accessible to the participants. The data-driven exercises and cases are done by the participants using these tools.
Industry trends suggest that jobs are being created for those who can work with the code, debug, and develop newer innovative use cases of machine learning. However, the critical part remains to apply the analytics techniques and machine learning concepts so that interpretation can be done for the business outcome. Here comes Zero Code which helps learners develop skills in solving business problems using analytics techniques and machine learning. Lastly, Zero Code offers the option to write Python code if one is new to coding.
Zero Code helps students to build resumes, prepare for interviews, and provide access to a professional network. Besides, our support team works with corporates on data science consulting to enable placement. Zero Code also offers internship opportunities for suitable students to undertake industry projects.
This course takes a hands-on approach, using real-world business problems and practical examples. With Zero code models, you will apply advanced machine learning without needing any programming skills. The focus is on solving actual business challenges using data analytics, Which is critical in today's fas-paced, data-driven industries.
No, programming isn't necessary. The course uses Zero code tools, allowing you to concentrate on business insights rather than coding. it's designed for professionals from all backgrounds, making it accessible and straightforward.
You'll receive live guidance from industry experts, including faculty from IIT and MIT, during interactive classes. On top of that, there's email and WhatsApp support available throughout the course, so you're never left wondering.
The course offers a hybrid format, with live evening classes via Microsoft Teams. Classes begin on October 15, 2024, with a total of 14 interactive sessions. The flexible schedule allows you to balance work commitments while mastering advanced business analytics.
Absolutely! We offer career guidance, profile-building workshops, and placement eligibility tests to help you make the next leap in your career. Many past participants have progressed into leadership roles.
Yes, you'll earn a certificate upon completing the course and its assessments. This certificate is widely recognized and earns 6.5 NCRE credits approved by Swayam Plus, adding real value to your credentials.
You'll use Zero Code tools to tackle data-driven exercises and real-world case studies. These sessions are supervised by the faculty to give you practical, industry-relevant skills without the technical complexities of coding.
The course is suited for working professionals, MBA students and data analytics enthusiasts. Although prior experience in analytics helps, it's not mandatory. The course is designed to cover all foundational aspects.
Don't worry! All live sessions are recorded and accessible whenever you need. You'll also be able to engage with instructors if you need extra support or questions.
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