Course Summary
Learn how to leverage data science to drive innovation in business. This course will teach you the key concepts and techniques needed to analyze and interpret data, and use it to make informed business decisions.Key Learning Points
- Learn to collect, analyze, and interpret data to inform business decisions
- Understand the basics of statistics, data visualization, and machine learning
- Apply data science techniques to solve real-world business problems
Job Positions & Salaries of people who have taken this course might have
- Data Analyst
- USA: $63,000 - $105,000
- India: ₹350,000 - ₹1,200,000
- Spain: €24,000 - €45,000
- Business Intelligence Analyst
- USA: $68,000 - $115,000
- India: ₹450,000 - ₹1,500,000
- Spain: €25,000 - €50,000
- Data Scientist
- USA: $87,000 - $140,000
- India: ₹600,000 - ₹2,500,000
- Spain: €30,000 - €60,000
Related Topics for further study
Learning Outcomes
- Understand how to collect, analyze, and interpret data to inform business decisions
- Apply data science techniques to solve real-world business problems
- Use statistics, data visualization, and machine learning to gain insights from data
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with a programming language like Python or R
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Science Essentials
- Applied Data Science
- Data Science Fundamentals
Related Education Paths
Related Books
Description
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.
Knowledge
- What is data science
- How data science, machine learning, and data-driven innovation can benefit business outcomes
- Foundational concepts and intuitions about machine learning techniques
Outline
- Introduction to Data-driven Business
- Welcome and Introduction
- Data-driven Decision Making for Data-centric Organizations
- What's Big Data? How Does It Relate to Data Science?
- Data-driven Decision Making for Data-centric Organizations
- What's Big Data? How Does It Relate to Data Science?
- Data-driven Decision Making for Data-centric Organizations
- Big Data and Data Science
- Terminology and Foundational Concepts
- Success Story: Data Science at Netflix
- Machine Learning
- Solving Problems: Programming vs. Machine Learning
- Success Story: Data Science at Netflix
- Machine Learning slides
- Solving Problems: Programming vs. Machine Learning
- Success Story: Data Science at Netflix
- Machine Learning
- Solving Problems: Programming vs. Machine Learning
- Data Science Methods for Business
- Linear Regression for Price Prediction
- Classification of User-generated Content to Recommend Restaurants
- Product Recommendation Using Decision Trees and Random Forests
- Hiring Employees Using Logistic Regression
- K-means Clustering
- Linear Regression for Product Price Prediction
- Classification User-generated Content to Recommend Restaurants
- Product Recommendation Using Decision Trees and Random Forests
- Hiring Employees Using Logistic Regression
- Using k-means for Clustering
- Linear Regression
- Naive Bayes
- Decision Trees and Random Forests
- Logistic Regression
- K-means Clustering
- Challenges and Conclusions
- Data Science Challenges
- Conclusions
- Data Science Challenges
- Data Science Challenges
Summary of User Reviews
Key Aspect Users Liked About This Course
Many users appreciated the practical approach to learning data science skills and applying them to real-world business problems.Pros from User Reviews
- Great introduction to data science for business applications
- Hands-on projects with real data sets
- In-depth explanations of statistical concepts
- Excellent support from the instructor and community
- Flexible schedule and self-paced learning
Cons from User Reviews
- Some users felt that the course was too basic and lacked advanced topics
- The workload can be overwhelming for beginners
- The quizzes and exams can be challenging
- The course may require additional resources and time commitment outside of the lectures
- The platform can be glitchy at times