Data Science for Business | 6 Real-world Case Studies

Name: Data Science for Business | 6 Real-world Case Studies
Rating: 4.3 (1007 reviews)

Solve 6 real Business Problems. Build Robust AI, DL and NLP models for Sales, Marketing, Operations, HR and PR projects.

Bestseller

(1,007 ratings)

8,295 students

Created by Dr. Ryan Ahmed, Ph.D., MBA, Ligency I Team, Mitchell Bouchard, Stemplicity Q&A Support, Ligency Team

Last updated 2/2021

English

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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.

Requirements

Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to anyone with basic programming knowledge. Students who enroll in this course will master data science fundamentals and directly apply these skills to solve real world challenging business problems.

Description

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:

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.

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.

Featured review

Tony J.

63 courses

5 reviews

2 years ago

Lots of useful stuff here. Mostly, I discovered the value of Jupyter (Google Colab) and the process of telling a story with data. In my experience, it's the story-telling that's missing in the Data Science space, and it's the thing that gets business interested. Good content, delivered in a way that was easy to understand.

Dr. Ryan Ahmed, Ph.D., MBA

Professor & Best-selling Instructor, 300K+ students

4.5 Instructor Rating
28,794 Reviews
301,645 Students
46 Courses

Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan's mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business.

Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 300,000+ students globally. He has over 25 published journal and conference research papers on state estimation, AI, Machine learning, battery modeling and EV controls. He is the co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA.

Ryan is a Stanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE). He is also the program Co-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC’17) in Chicago, IL, USA.

* McMaster University is one of only four Canadian universities consistently ranked in the top 100 in the world.

Ligency I Team

Helping Data Scientists Succeed

4.6 Instructor Rating
594,947 Reviews
2,154,310 Students
151 Courses

Hi there,

We are the Ligency team. You will be hearing from us when new Ligency courses are released, when we publish new podcasts, blogs, share cheatsheets and more!

We are here to help you stay on the cutting edge of Data Science and Technology.

See you in class,

Sincerely,

Ligency Team!

Mitchell Bouchard

B.S, Host @RedCapeLearning 500,000 + Students

4.5 Instructor Rating
33,540 Reviews
506,716 Students
74 Courses

Mitch is a Canadian filmmaker from Harrow Ontario, Canada. In 2016 he graduated from Dakota State University with a B.S, in Computer Graphics specializing in Film and Cinematic Arts.

Currently, Mitch operates as the Chairman of Red Cape Studios, Inc. where he continues his passion for filmmaking. He is also the Host of Red Cape Learning and Produces / Directs content for Red Cape Films.

He has reached over 500,000 + Students on Udemy and Produced more than 3X Best-Selling Courses.

Mitch is currently working Producing Online Educational Courses thru Red Cape Studios Inc.

Winning several awards at Dakota State University such as "1st Place BeadleMania", "Winner College 10th Anniversary Dordt Film Festival" as well as "Outstanding Artist Award College of Arts and Sciences".

Mitch has been Featured on CBC's "Windsors Shorts" Tv Show and was also the Producer/Director for TEDX Windsor, featuring speakers from across the Country.

Stemplicity Q&A Support

4.5 Instructor Rating
1,408 Reviews
205,597 Students
3 Courses

Ligency Team