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30-Day Money-Back Guarantee
Business Business Analytics & Intelligence Data Science

Data Science for Business | 6 Real-world Case Studies

Solve 6 real Business Problems. Build Robust AI, DL and NLP models for Sales, Marketing, Operations, HR and PR projects.
Highest Rated
Rating: 4.7 out of 54.7 (500 ratings)
5,033 students
Created by Dr. Ryan Ahmed, Ph.D., MBA, Mitchell Bouchard, Stemplicity Q&A Support, Ligency Team
Last updated 2/2021
English
English [Auto]
30-Day Money-Back Guarantee

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.
Curated for the Udemy for Business collection

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:

  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.

Featured review

Tony Johnson
Tony Johnson
58 courses
5 reviews
Rating: 4.5 out of 59 months 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.

Course content

7 sections • 73 lectures • 11h 40m total length

  • Preview01:04
  • Preview03:43
  • Preview09:05
  • Preview14:56
  • Get the Materials
    00:05

  • Preview02:32
  • Preview09:21
  • Task #2: Import Libraries and Datasets
    12:44
  • Task #3: Explore Dataset - Part 1
    13:31
  • Task #3: Explore Dataset - Part 2
    09:44
  • Task #3: Explore Dataset - Part 3
    08:47
  • Task #3: Explore Dataset - Part 4
    09:45
  • Task #4: Perform Data Cleaning
    09:37
  • Task #5: Understand intuition of Random Forest, Logistic Regression, and ANNs
    15:25
  • Preview12:34
  • Preview07:53
  • Task #8: Build and Train Random Forest Classifier Model
    02:57
  • Task #9: Build and Train Artificial Neural Network Classifier Model
    10:25

  • Preview02:04
  • Task #1: Understand Problem Statement and Business Case
    10:41
  • Task #2: Import Libraries and Datasets
    14:42
  • Task #3: Perform Data Visualization
    19:55
  • Preview15:18
  • Task #5: Obtain Optimal Number of Clusters "K"
    08:09
  • Preview09:37
  • Task #7: Understand the Intuition Behind Principal Component Analysis (PCA)
    10:05
  • Preview07:50
  • Task #9: Build and Train Autoencoder - Part #1
    12:07
  • Build and Train Autoencoder - Part #2
    14:02

  • Preview01:31
  • Task #1: Understand the Problem Statement and Business Case
    11:50
  • Task #2: Import Datasets - Part #1
    11:17
  • Task #2: Import Datasets - Part #2
    05:39
  • Task #3: Explore Data - Part #1
    12:21
  • Task #3: Explore Data - Part #2
    11:11
  • Task #3: Explore Data - Part #3
    08:28
  • Task #3: Explore Data - Part #4
    12:56
  • Preview06:08
  • Task #5: Train The Model - Part #1
    10:29
  • Task #6: Train The Model - Part #2
    12:23

  • Preview02:13
  • Task #1: Understand the Business Case and Problem Statement
    08:05
  • Task #2: Load and Explore Dataset
    16:40
  • Task #3: Visualize Datasets
    06:10
  • Task #4: Understand Intuition Behind Convolutional Neural Networks (CNNs)
    13:56
  • Preview09:53
  • Preview05:09
  • Task #7: Build and Train ResNet
    20:08
  • Task #8: Evaluate Trained Model Performance
    15:21

  • Preview01:49
  • Task #1: Understand Problem Statement and Business Case
    05:47
  • Task #2: Import Libraries and Datasets
    07:19
  • Task #3: Explore Dataset - Part #1
    09:58
  • Task #3: Explore Dataset - Part #2
    14:40
  • Task #4: Perform Data Cleaning
    06:40
  • Task #5: Remove Punctuation
    05:14
  • Task #6: Remove Stopwords
    07:56
  • Preview09:18
  • Task #8: Perform Text Cleaning pipeline
    13:45
  • Preview17:51
  • Preview04:01
  • Task #11: Evaluate Trained Naive Bayes Classifier
    07:40
  • Task #12: Train and Evaluate a Logistic Regression Classifier
    06:09

  • Introduction and Welcome Message
    05:56
  • Task #1 - Understand the Problem Statement & Business Case
    09:04
  • Task #2 - Import Libraries and Datasets
    11:22
  • Task #3 - Visualize and Explore Dataset
    17:13
  • Task #4 - Understand the Intuition behind ResNet, CNNs, and Transfer Learning
    09:10
  • Task #5 - Build & Train ResNet Classifiers
    10:58
  • Task #6 - Assess Trained ResNet Model Performance
    05:43
  • Task #7 - Understand the Intuition behind ResUnet Segmentation Models
    10:47
  • Task #8 - Build & Train a ResUnet Segmentation Model
    11:42
  • Task #9 - Assess Trained ResUnet Model
    10:14

Instructors

Dr. Ryan Ahmed, Ph.D., MBA
Professor & Best-selling Udemy Instructor, 200K+ students
Dr. Ryan Ahmed, Ph.D., MBA
  • 4.5 Instructor Rating
  • 18,281 Reviews
  • 219,187 Students
  • 27 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 200,000+ students globally. He has over 15 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.



Mitchell Bouchard
B.S, Host @RedCapeLearning 365,000 Students
Mitchell Bouchard
  • 4.4 Instructor Rating
  • 21,769 Reviews
  • 369,851 Students
  • 51 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 365,000 + 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
Stemplicity Q&A Support
  • 4.5 Instructor Rating
  • 500 Reviews
  • 146,076 Students
  • 1 Course
Ligency Team
Helping Data Scientists Succeed
Ligency Team
  • 4.5 Instructor Rating
  • 470,219 Reviews
  • 1,689,164 Students
  • 109 Courses

Hi there,

We are the Ligency PR and Marketing team. You will be hearing from us when new 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,

The Real People at Ligency

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