AI-First Product Management
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
Sydney
Roshan graduated from the 2nd data science immersive course at General Assembly Sydney. With a Bachelors and Masters in Engineering and 6 years of software engineering experience, she was intrigued by the growing data science community and applications. This led her to expand her career to data science and it was aided by the various projects and modules during the General assembly course.
As a Data Consultant at Servian, she got the opportunity to work with companies in various industries such as Telecom, Financial and Retail. She enables clients reach out to the right target group for marketing, extracts valuable insights by understanding their needs and requirements, analyses and wrangles data for better reporting capabilities.
When asked about one of the best takeaways from the data science journey, she says: "80% of the time is spent on cleaning the data - During the data science program at GA, the guest lecturers always mentioned this as a key takeaway for data scientists. I realised the importance with every project. The more effort you spend on data cleaning, the easier it gets in the later phase of the project
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
This course is designed to prepare learners to use the most powerful Generative AI tools and apply the strategic frameworks needed to leverage them effectively and responsibly.
In this course, the learner will gain a hands-on introduction to data analytics and visualization using SQL and Tableau.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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