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Data Science for Business | 6 Real-world Case Studies – Udemy

(10 customer reviews)

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Description

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.

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?

Or are you an aspiring entrepreneur who wants to maximize business revenue with Data Science and Artificial Intelligence?

If the answer is yes to any of these questions, then this course is for you!

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:

  1. 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.

  2. Task #2 @Marketing Department: Optimize marketing strategy by performing customer segmentation

  3. Task #3 @Sales Department: Develop time series forecasting models to predict future product prices.

  4. Task #4 @Operations Department: Develop Deep Learning model to automate and optimize the disease detection processes at a hospital.

  5. Task #5 @Public Relations Department: Develop Natural Language Processing Models to analyze customer reviews on social media and identify customers sentiment.

  6. Task #6 @Production/Maintenance Departments: Develop defect detection, classification and localization models.

Who this course is for:

  • Seasoned consultants wanting to transform businesses by leveraging data science and AI.
  • Visionary business owners who want to harness the power of Data science and AI to maximize revenue, reduce costs and optimize their business.
  • Data Science Practitioners wanting to advance their careers and build their portfolio.
  • Tech enthusiasts who are passionate about Data science and AI and want to gain real-world practical experience.

Course content

  • Course Introduction and Welcome Message
  • Human Resources Department
  • Marketing Department
  • Sales Department
  • Operations Department
  • Public Relations Department
  • Production/Manufacturing/Maintenance Department

10 reviews for Data Science for Business | 6 Real-world Case Studies – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Alica Cverdeľová

    I love this course, Angela explained it very easily and clearly from the beginning, but I loved her 1 minute final videos, which ended later: What a pity.
    BUT I felt a little disappointed now with the project Day 39/40. Where I was maximally lost, I could not come out of where to look for anything and it was poorly explained and the biggest mistake was that there were no videos with explanations, I think it was quite a complicated project where many things were used and no explanation, only the final results. And they carried a few things in the projects before, so I had her project run once and it showed her the mistake as well as me, so in that case you have to leave it at that and what else is a shame. It’s hard to do a project when you don’t see what’s going on there.
    I’m a little worried about the next few weeks, and I hope it won’t be a waste of time.

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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