Pooja

Dr. Pooja is an accomplished individual with almost two decades of experience in imparting education and making significant contributions in the field of Computer Science and Engineering. With a strong background in education, she has dedicated her career to sharing knowledge and inspiring others through her expertise. She has delivered numerous hands-on training sessions to industry personnel / students / learners on Artificial Intelligence and Machine learning using Python. Furthermore, she has worked with NITTTR, Chandigarh, India towards co-creation and delivery of courses for the national online education portal “Swayam portal” (NPTEL) on “Smart grid analytics” implementing “Machine Learning module”. She is a seasoned Python expert, specializing in data visualization. With a deep passion for transforming complex datasets into compelling visuals, Dr. Pooja has published a book titled "Data Visualization with Python". This comprehensive guide takes readers on a journey through the world of data visualization using Python. Through practical examples and hands-on exercises, readers learn how to leverage popular libraries such as Matplotlib, Seaborn, and Bokeh to create interactive visualizations.

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Generative AI: Elevate Your Data Science Career (Coursera) Coursera
IBM

Generative AI: Elevate Your Data Science Career (Coursera)

Elevate your career as a data scientist by mastering the latest techniques in Generative AI. This course is tailored for professionals looking to enhance their skills in data generation, augmentation, and feature engineering. Gain practical knowledge that you can apply immediately to tackle real-world problems across various industries.

Jun 8th 2026
3 Weeks
Getting Started with Tableau (Coursera) Coursera
SkillUp EdTech

Getting Started with Tableau (Coursera)

Embark on a journey to become proficient in data storytelling with 'Getting Started with Tableau' on Coursera. This introductory course is perfect for beginners looking to harness the power of Tableau Public, a powerful tool for data visualization. You'll learn step-by-step how to import and explore your data, transforming it into compelling visual stories that can inform decision-making.

Jun 1st 2026
3 Weeks
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