- Level Foundation
- المدة 19 ساعات hours
- الطبع بواسطة IBM
-
Offered by
عن
Do you want to know why Data Science has been labelled as the sexiest profession of the 21st century? After taking this course you will be able to answer this question, and get a thorough understanding of what is Data Science, what data scientists do, and learn about career paths in the field. 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 using data to derive insights and predict outcomes have carved out a unique and distinct field for the work they do. This field is data science. In today's world, we use Data Science to find patterns in data, and make meaningful, data driven conclusions and predictions. This course is for everyone, and teaches concepts like Machine Learning, Deep Learning, and Neural Networks and how companies apply data science in business. You will meet several data scientists, who will share their insights and experiences in Data Science. By taking this introductory course, you will begin your journey into the thriving field that is Data Science!الوحدات
Welcome to the Course
1
Videos
- Course Introduction
3
Readings
- Course Syllabus
- Professional Certificate Career Support
- Helpful Tips for Course Completion
Defining Data Science
3
Assignment
- Practice Quiz: Data Science: The Sexiest Job in the 21st Century
- Practice Quiz: Defining Data Science
- Graded Quiz: Defining Data Science
5
Videos
- What is Data Science?
- Fundamentals of Data Science
- The Many Paths to Data Science
- Advice for New Data Scientists
- Lesson Summary: Defining Data Science
1
Readings
- Lesson Overview: Defining Data Science
What Do Data Scientists Do?
2
Assignment
- Practice Quiz: What makes Someone a Data Scientist?
- Graded Quiz: What Data Scientists Do
1
Discussions
- Introduce Yourself
5
Videos
- A Day in the Life of a Data Scientist
- Data Science Skills & Big Data
- Understanding Different Types of File Formats
- Data Science Topics and Algorithms
- Lesson Summary: What Do Data Scientists Do?
2
Readings
- Lesson Overview: What Do Data Scientists Do?
- Summary: What Do Data Scientists Do?
Big Data and Data Mining
3
Assignment
- Practice Quiz: Data Mining
- Practice Quiz: Big Data and Data Mining
- Graded Quiz: Big Data and Data Mining
8
Videos
- How Big Data is Driving Digital Transformation
- Introduction to Cloud
- Cloud for Data Science
- Foundations of Big Data
- Data Science and Big Data
- What is Hadoop?
- Big Data Processing Tools: Hadoop, HDFS, Hive, and Spark
- Lesson Summary: Big Data and Data Mining
1
Readings
- Lesson Overview: Big Data and Data Mining
Deep Learning and Machine Learning
3
Assignment
- Practice Quiz: Regression
- Practice Quiz: Deep Learning and Machine Learning
- Graded Quiz: Deep Learning and Machine Learning
5
Videos
- Artificial Intelligence and Data Science
- Generative AI and Data Science
- Neural Networks and Deep Learning
- Applications of Machine Learning
- Lesson Summary: Deep Learning and Machine Learning
2
Readings
- Lesson Overview: Deep Learning and Machine Learning
- Summary: Deep Learning and Machine Learning
Data Science Application Domains
3
Assignment
- Practice Quiz: The Final Deliverable
- Practice Quiz: Data Science Application Domains
- Graded Quiz: Data Science Application Domains
5
Videos
- How Should Companies Get Started in Data Science?
- Old Problems, New Data Science Solutions
- Applications of Data Science
- How Data Science is saving lives
- Lesson Summary: Data Science Applications Domain
1
Readings
- Lesson Overview: Data Science Application Domains
Careers and Recruiting in Data Science
3
Assignment
- Practice Quiz: The Report Structure
- Practice Quiz: Careers and Recruiting in Data Science
- Graded Quiz: Careers and Recruiting in Data Science
5
Videos
- How Can Someone Become a Data Scientist?
- Recruiting for Data Science
- Careers in Data Science
- Importance of Mathematics and Statistics for Data Science
- Lesson Summary: Careers and Recruiting in Data Science
2
Readings
- Lesson Overview: Careers and Recruiting in Data Science
- Summary: Careers and Recruiting in Data Science
Final Assignment
1
Assignment
- Quiz Based on Case Study
1
Readings
- A Roadmap to your Data Science Journey
Final Exam
1
Assignment
- Final Exam
Course Wrap Up
3
Readings
- Course Summary
- Congrats & Next Steps
- Course Team and Acknowledgements
Digital Badge
1
Readings
- IBM Digital Badge
Understanding Data
2
Assignment
- Practice Quiz: Metadata
- Practice Quiz - Understanding Data
4
Videos
- Understanding Data
- Data Sources
- Viewpoints: Working with Varied Data Sources and Types
- Lesson Summary: Understanding Data
1
Readings
- Lesson Overview: Understanding Data
Data Literacy
2
Assignment
- Practice Quiz: Data integration Platforms
- Practice Quiz: Data Literacy
7
Videos
- Data Collection and Organization
- Relational Database Management System
- NoSQL
- Data Marts, Data Lakes, ETL, and Data Pipelines
- Viewpoints: Considerations for Choice of Data Repository
- Data Integration Platforms
- Lesson Summary: Welcome to Data Literacy
2
Readings
- Lesson Overview: Data Literacy
- Summary: Data Literacy for Data Science
Auto Summary
Discover why data science is hailed as the sexiest profession of the 21st century in this foundational course by Coursera. Explore what data science entails, career paths, and how data scientists employ machine learning and deep learning. Featuring insights from experienced data scientists, this engaging course spans 1140 minutes and offers Starter and Professional subscription options, making it ideal for anyone interested in entering the thriving field of Data Science & AI.

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Alex Aklson