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The "Foundation Course on Machine Learning Driven Applied Business Analytics" is essential for anyone looking to harness the power of data in business. It provides a thorough understanding of data preparation, visualization, and exploratory analysis, equipping you with the skills to turn raw data into actionable insights. Covering both supervised and unsupervised machine learning techniques, the course ensures you can handle diverse predictive and analytical tasks. With practical examples and applications, this course prepares you to make data-driven decisions, enhancing your business strategies and performance in a competitive market. Additionally, the course introduces the unique Zerocode platform, where you can appreciate and learn business analytics without needing to write any code, making it accessible to professionals from all backgrounds.
Explore key features and benefits that set our program apart.
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.
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.
