Data Science for Business | 6 Real-world Case Studies
Data Science for Business | 6 Real-world Case Studies Udemy Coupon Code by Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Ligency Team, Stemplicity Q&A Support with 11.5 hours on-demand video course tutorials and free 13 downloadable resources. Solve 6 real Business Problems. Build Robust AI, DL and NLP models for Sales, Marketing, Operations, HR and PR projects.
Data Science for Business Course Overview
Course Description
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, transportation and technology.
In Business, Data Science is applied to optimize business processes, maximize revenue and reduce cost. The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
In this course, we will assume that you are an experienced data scientist who have been recently as a data science consultant to several clients. You have been tasked to apply data science techniques to the following 6 departments: (1) Human Resources, (2) Marketing, (3) Sales, (4) Operations, (5) Public Relations, (6) Production/Maintenance. Your will be provided with datasets from all these departments and you will be asked to achieve the following tasks:
- Task #1 @Human Resources Department: Develop an AI model to Reduce hiring and training costs of employees by predicting which employees might leave the company.
- Task #2 @Marketing Department: Optimize marketing strategy by performing customer segmentation
- Task #3 @Sales Department: Develop time series forecasting models to predict future product prices.
- Task #4 @Operations Department: Develop Deep Learning model to automate and optimize the disease detection processes at a hospital.
- Task #5 @Public Relations Department: Develop Natural Language Processing Models to analyze customer reviews on social media and identify customers sentiment.
- Task #6 @Production/Maintenance Departments: Develop defect detection, classification and localization models.
What you’ll learn
- Develop an AI model to Reduce hiring and training costs of employees by predicting which employees might leave the company.
- Develop Deep Learning model to automate and optimize the disease detection processes at a hospital.
- Develop time series forecasting models to predict future product prices.
- Develop defect detection, classification and localization models.
- Optimize marketing strategy by performing customer segmentation
- Develop Natural Language Processing Models to analyze customer reviews on social media and identify customers sentiment.
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Course Reviews
This course offers a comprehensive and well-structured introduction to Data Science, the instructor, brings a wealth of expertise in Business, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Data Science Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, The Instructors explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the Data Science for Business | 6 Real-world Case Studies to anyone looking to learn Data Science This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
Course Rating
