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Data Science Project management

Track :

Computer Science

Lessons no : 3

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What will you learn in this course?
  • Master project planning and scope definition for data science initiatives using Agile and Waterfall methodologies
  • Apply effective data acquisition, cleaning, and preprocessing techniques to ensure high-quality datasets for analysis
  • Utilize advanced data visualization tools and techniques to communicate insights clearly to stakeholders
  • Implement project management best practices tailored for data science projects to deliver timely, impactful results

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Lessons | 3


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Excellent
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4.1
32 Reviews

Shruti umesh parnerkar

Good
2025-11-02

Collins Mutai

nice course
2025-09-26

Hafiz Abdul Majeed

analysis of data is very well defined and it is relevant to Data scientist,
2025-09-12

AUGUSTUS S REEVES

It was great
2025-09-11

Sanjith

Use full
2025-09-04

Mbekenyui vedian Bebangdia

Detailed explanation and easy to understand
2025-08-04

Soriful haque

Good luck
2025-07-04

Abdoul alim Diallo

merci
2025-07-02

Abdulhakeem Idris Abdulhakeem

Satisfied
2025-06-23

Thangarathinakumar

EASY TO LEARN
2025-06-04

MUHAMMAD FAISAL AZEEM

..
2025-05-06

Bossombra Bilé

Very Good
2025-05-05

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Data Science Project course, in this course we will explore the intricacies of executing a successful data science project. From conceptualization to implementation, you'll learn the essential steps involved in crafting data-driven solutions. Through hands-on exercises and case studies, you'll gain practical insights into data acquisition, cleaning, analysis, and visualization. Additionally, we'll delve into project management techniques tailored specifically for data science endeavors, ensuring you're equipped with the skills to navigate complexities and deliver impactful results. By the end, you'll have the confidence and proficiency to tackle real-world data challenges effectively.