Course Summary
Learn the basics of data science and its applications in various industries. This course covers the fundamental concepts, tools, and techniques used in data science.Key Learning Points
- Understand the role of data science in various industries
- Learn how to collect, clean, and analyze data using tools like Python and R
- Develop an understanding of data visualization and communication for effective data-driven decision making
Job Positions & Salaries of people who have taken this course might have
- Data Analyst
- USA: $60,000 - $100,000
- India: ₹500,000 - ₹1,200,000
- Spain: €30,000 - €50,000
- Data Scientist
- USA: $80,000 - $150,000
- India: ₹800,000 - ₹2,000,000
- Spain: €40,000 - €70,000
- Business Intelligence Analyst
- USA: $70,000 - $120,000
- India: ₹600,000 - ₹1,500,000
- Spain: €35,000 - €60,000
Related Topics for further study
- Data Science Basics
- Data Collection and Cleaning
- Data Analysis and Visualization
- Machine Learning
- Data-Driven Decision Making
Learning Outcomes
- Understand the basic concepts and tools of data science
- Develop the skills to collect, clean, and analyze data using Python and R
- Learn how to effectively communicate data insights
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics and programming
- Access to a computer with internet connection
Course Difficulty Level
BeginnerCourse Format
- Self-paced
- Online
- Video lectures
- Hands-on assignments
Similar Courses
- Data Science Essentials
- Introduction to Data Science in Python
- Applied Data Science with Python
Related Education Paths
- Johns Hopkins Data Science Specialization
- IBM Data Science Professional Certificate
- Microsoft Certified: Azure Data Scientist Associate
Related Books
Description
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
Outline
- Defining Data Science and What Data Scientists Do
- What is Data Science?
- Fundamentals of Data Science
- The Many Paths to Data Science
- Advice for New Data Scientists
- A day in the Life of a Data Scientist
- Old problems, new problems, Data Science solutions
- Data Science Topics and Algorithms
- Cloud for Data Science
- Course Syllabus
- Professional Certificate Career Support
- Lesson Summary
- Lesson Summary
- Data Science: The Sexiest Job in the 21st Century
- What Makes Someone a Data Scientist?
- Data Science Topics
- Foundations of Big Data
- What is Hadoop?
- How Big Data is Driving Digital Transformation
- Data Science Skills & Big Data
- Data Scientists at New York University
- What's the difference?
- Neural Networks and Deep Learning
- Applications of Machine Learning
- Lesson Summary
- Lesson Summary
- (Optional) Exercise: Identifying objects in images with IBM Watson
- Data Mining
- Regression
- Data Science in Business
- How Data Science is saving lives
- How Should Companies Get Started in Data Science?
- Applications of Data Science
- How Can Someone Become a Data Scientist?
- Recruiting for Data Science
- Careers in Data Science
- High School Students and Data Science Careers
- Lesson Summary
- Lesson Summary
- Lesson Summary
- IBM Digital Badge
- The Final Deliverable
- The Report Structure
- Final Exam
Summary of User Reviews
The course 'What is Data Science?' on Coursera has received positive reviews from users. Many have praised the course for its comprehensive coverage of data science concepts and its practical approach to learning. Overall, users have found the course to be informative and engaging.Key Aspect Users Liked About This Course
Comprehensive coverage of data science conceptsPros from User Reviews
- Practical approach to learning
- Engaging course material
- Instructors are knowledgeable and responsive
- Good balance of theory and practice
- Great for beginners
Cons from User Reviews
- Some users found the course too basic
- Not enough hands-on assignments
- Slow pace of the course
- Lack of real-world examples
- Some users found the course too theoretical
Rav Ahuja
4.7 Raiting
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