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Data science skills are in-demand. Take our Data Science Basics course and learn the concepts and terms that you'll need to step into the world of data science.
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What's inside
Syllabus
Data science is one of the highest-impact, most in-demand skills. In this lesson, we'll introduce you to the fundamental concepts and terms that you'll need to step into the world of data science.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces a field that has a high growth rate and demand in industry and academia
Builds a foundation for beginners in the field of data science
Taught through Udacity, a provider known for its tech and data science courses
Save this course
Save Discovering Data Science to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Discovering Data Science with these
activities:
Review: Data Science for Beginners
Show steps
Build a foundational understanding of data science concepts by reading a beginner-friendly book.
View
Introduction R Programming_Professional Level
on Amazon
Show steps
-
Read the book and take notes on key concepts
-
Complete the practice exercises in the book
-
Summarize the main ideas of each chapter
Attend a Data Science Meetup
Show steps
Connect with professionals in the field and expand your knowledge through discussions and presentations.
Show steps
-
Find a local data science meetup or online event
-
Attend the event and introduce yourself to others
-
Participate in discussions and ask questions
Guided Tutorials on Data Science Basics
Show steps
Introduce yourself to foundational topics in data science including data cleansing, modeling, and interpretation.
Show steps
-
Explore online tutorials on data science fundamentals
-
Follow along with video demonstrations to practice techniques
-
Review tutorial materials for reinforcement
Four other activities
Expand to see all activities and additional details
Show all seven activities
Study Group for Data Science Concepts
Show steps
Enhance your comprehension by collaborating with peers, discussing concepts, and working through problems together.
Show steps
-
Find or create a study group with other students taking the course
-
Meet regularly to discuss course material and assignments
-
Work together on practice problems and projects
Data Science Practice Drills
Show steps
Reinforce your understanding of data science techniques through repetitive exercises and practical examples.
Show steps
-
Solve data science challenges on online platforms
-
Work through guided practice exercises in the course materials
-
Complete coding challenges using data science tools
Data Science Blog Post
Show steps
Solidify your understanding by creating a written piece that explains a data science concept or technique.
Show steps
-
Choose a topic relevant to data science basics
-
Research and gather information on the topic
-
Write a blog post that explains the concept clearly
-
Publish your blog post on a platform or share it with peers
Contribute to Open Source Data Science Projects
Show steps
Gain practical experience and enhance your understanding by contributing to real-world data science projects.
Show steps
-
Identify open source data science projects on platforms like GitHub
-
Review the project documentation and choose an area to contribute
-
Make code contributions, write documentation, or report bugs
Review: Data Science for Beginners
Show steps
Build a foundational understanding of data science concepts by reading a beginner-friendly book.
View
Introduction R Programming_Professional Level
on Amazon
Show steps
Show steps
Show steps
- Read the book and take notes on key concepts
- Complete the practice exercises in the book
- Summarize the main ideas of each chapter
Attend a Data Science Meetup
Show steps
Connect with professionals in the field and expand your knowledge through discussions and presentations.
Show steps
Show steps
Show steps
- Find a local data science meetup or online event
- Attend the event and introduce yourself to others
- Participate in discussions and ask questions
Guided Tutorials on Data Science Basics
Show steps
Introduce yourself to foundational topics in data science including data cleansing, modeling, and interpretation.
Show steps
Show steps
Show steps
- Explore online tutorials on data science fundamentals
- Follow along with video demonstrations to practice techniques
- Review tutorial materials for reinforcement
Four other activities
Expand to see all activities and additional details
Show all seven activities
Study Group for Data Science Concepts
Show steps
Enhance your comprehension by collaborating with peers, discussing concepts, and working through problems together.
Show steps
Show steps
Show steps
- Find or create a study group with other students taking the course
- Meet regularly to discuss course material and assignments
- Work together on practice problems and projects
Data Science Practice Drills
Show steps
Reinforce your understanding of data science techniques through repetitive exercises and practical examples.
Show steps
Show steps
Show steps
- Solve data science challenges on online platforms
- Work through guided practice exercises in the course materials
- Complete coding challenges using data science tools
Data Science Blog Post
Show steps
Solidify your understanding by creating a written piece that explains a data science concept or technique.
Show steps
Show steps
Show steps
- Choose a topic relevant to data science basics
- Research and gather information on the topic
- Write a blog post that explains the concept clearly
- Publish your blog post on a platform or share it with peers
Contribute to Open Source Data Science Projects
Show steps
Gain practical experience and enhance your understanding by contributing to real-world data science projects.
Show steps
Show steps
Show steps
- Identify open source data science projects on platforms like GitHub
- Review the project documentation and choose an area to contribute
- Make code contributions, write documentation, or report bugs
Career center
Learners who complete Discovering Data Science will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is someone who has the ability to think critically about data, ask the right questions, and find patterns that lead to actionable insights.
The Discovering Data Science course can help you develop the skills you need to become a successful Data Scientist by providing you with a strong foundation in the fundamental concepts and terms of data science.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions.
The Discovering Data Science course can help you develop the skills you need to become a successful Data Analyst by providing you with a strong foundation in the fundamental concepts and terms of data science.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for building and deploying machine learning models to solve business problems.
The Discovering Data Science course can help you develop the skills you need to become a successful Machine Learning Engineer by providing you with a strong foundation in the fundamental concepts and terms of data science.
Data Engineer
Data Engineer
A Data Engineer is responsible for building and maintaining the infrastructure that stores and processes data.
The Discovering Data Science course can help you develop the skills you need to become a successful Data Engineer by providing you with a strong foundation in the fundamental concepts and terms of data science.
Statistician
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions.
The Discovering Data Science course can help you develop the skills you need to become a successful Statistician by providing you with a strong foundation in the fundamental concepts and terms of data science.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst is responsible for using mathematical and statistical models to analyze financial data and make investment recommendations.
The Discovering Data Science course can help you develop the skills you need to become a successful Quantitative Analyst by providing you with a strong foundation in the fundamental concepts and terms of data science.
Risk Analyst
Risk Analyst
A Risk Analyst is responsible for identifying, assessing, and mitigating risks to an organization.
The Discovering Data Science course can help you develop the skills you need to become a successful Risk Analyst by providing you with a strong foundation in the fundamental concepts and terms of data science.
Business Analyst
Business Analyst
A Business Analyst is responsible for understanding business needs and translating them into technical requirements.
The Discovering Data Science course can help you develop the skills you need to become a successful Business Analyst by providing you with a strong foundation in the fundamental concepts and terms of data science.
Product Manager
Product Manager
A Product Manager is responsible for managing the development and launch of new products.
The Discovering Data Science course can help you develop the skills you need to become a successful Product Manager by providing you with a strong foundation in the fundamental concepts and terms of data science.
Marketing Analyst
Marketing Analyst
A Marketing Analyst is responsible for collecting, analyzing, and interpreting data to help organizations understand their customers and make marketing decisions.
The Discovering Data Science course can help you develop the skills you need to become a successful Marketing Analyst by providing you with a strong foundation in the fundamental concepts and terms of data science.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to make investment recommendations.
The Discovering Data Science course may be useful in developing some of the skills you need to become a successful Financial Analyst, but it does not provide a comprehensive foundation in the fundamental concepts and terms of finance.
Data Visualization Specialist
Data Visualization Specialist
A Data Visualization Specialist is responsible for creating visual representations of data that help organizations understand their data and make decisions.
The Discovering Data Science course may be useful in developing some of the skills you need to become a successful Data Visualization Specialist, but it does not provide a comprehensive foundation in the fundamental concepts and terms of data visualization.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications.
The Discovering Data Science course may be useful in developing some of the skills you need to become a successful Software Engineer, but it does not provide a comprehensive foundation in the fundamental concepts and terms of software engineering.
Actuary
Actuary
An Actuary is responsible for assessing and managing financial risks.
The Discovering Data Science course may be useful in developing some of the skills you need to become a successful Actuary, but it does not provide a comprehensive foundation in the fundamental concepts and terms of actuarial science.
Computer Scientist
Computer Scientist
A Computer Scientist is responsible for developing new computer technologies and applications.
The Discovering Data Science course may be useful in developing some of the skills you need to become a successful Computer Scientist, but it does not provide a comprehensive foundation in the fundamental concepts and terms of computer science.
For more career information including salaries, visit:
OpenCourser.com/course/zcqkke/discovering
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Discovering Data Science.
Comprehensive reference for statistical learning methods, making it a valuable resource for learners who want to develop a deep understanding of the field.
Provides a comprehensive overview of data science concepts and techniques, making it a valuable resource for learners who want to gain a strong foundation in the field.
Save
Provides a comprehensive overview of deep learning concepts and techniques, making it a valuable resource for learners who want to gain a strong foundation in the field.
Provides a comprehensive guide to using Python for data analysis, making it a valuable resource for learners who want to develop their technical skills.
Save
Offers practical guidance on using R for data science tasks, making it a useful reference for learners who want to develop their technical skills.
Provides a comprehensive guide to using R for machine learning, making it a valuable resource for learners who want to develop their technical skills.
Provides a comprehensive guide to using Python for natural language processing, making it a valuable resource for learners who want to develop their technical skills.
Provides a comprehensive overview of statistical modeling concepts and techniques, making it a valuable resource for learners who want to gain a strong foundation in the field.
Provides a theoretical foundation for data science, making it a valuable resource for learners who want to understand the underlying principles of the field.
Provides a comprehensive overview of Bayesian data analysis concepts and techniques, making it a valuable resource for learners who want to gain a strong foundation in the field.
Provides a hands-on introduction to data science using Python, making it a useful resource for learners who want to develop practical skills.
Save
Covers a wide range of data mining techniques, making it a valuable resource for learners who want to explore different approaches to data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zcqkke/discovering
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Effort
1 hour
Via
Udacity
Language
English
Good to know
Introduces a field that has a high growth rate and demand in industry and academia
Builds a foundation for beginners in the field of data science
Taught through Udacity, a provider known for its tech and data science courses
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