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Learn New Data Skills

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Teaches highly relevant skills for personal growth

Explores engaging and unique perspectives on topics

Instructors are recognized for their work in the field

Covers comprehensive study of a niche topic

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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 Learn New Data Skills with these activities:

Review Introductory Classics

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Builds a foundational understanding of the history and major themes of English literature by reading and understanding selected works from the Norton Anthology of English Literature.

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Read Chapters 1-10 of the Norton Anthology
Complete the study questions at the end of each chapter
Identify the major themes and literary devices used in each work
Write a 1-page summary of each chapter
Contribute to the online discussion forum on the Norton Anthology

Review Parts of Speech

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Strengthens foundational grammar skills by reviewing the different parts of speech.

Browse courses on Parts of speech

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Identify the different parts of speech
Practice identifying parts of speech in sentences
Complete online exercises on parts of speech

Practice Literary Analysis Prompts

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Sharpens literary analysis skills by practicing with a variety of prompts and exercises.

Browse courses on Close Reading

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Choose a prompt from a list
Read the text carefully and identify key passages
Analyze the text and formulate a response
Write a brief response to the prompt
Compare your response to others and discuss

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Read Building a Second Brain

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Reviews these topics that are central to this course's material regarding knowledge management.

View The PARA Method on Amazon

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Get a copy of the book and read.
Annotate sections of the book that stand out or are of particular interest.
Take notes on the key points and ideas presented in the book.
Create a summary of the book's main arguments and insights.

Attend an online conference or meetup

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Provides an opportunity to connect with other professionals in the field.

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Research upcoming conferences or meetups that are relevant to the course material.
Register for a conference or meetup that interests you.
Attend the conference or meetup and actively participate in discussions and networking events.

Create a mind map of your notes

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Encourages the learner to organize their knowledge in a visual way.

Browse courses on Mind Mapping

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Gather your notes from the course.
Identify the main topics and subtopics in your notes.
Use a mind mapping tool or software to create a visual representation of your notes.
Add colors, images, or symbols to your mind map to make it more visually appealing and memorable.

Follow a Course on Literary Criticism

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Develops a deeper understanding of literary criticism and theory by following a structured online course.

Browse courses on Literary Criticism

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Enroll in a course on literary criticism
Complete the course modules
Participate in discussion forums
Complete the assignments and quizzes
Apply the concepts learned to the analysis of literary texts

Form a study group with other students

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Encourages collaboration and peer-to-peer learning.

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Reach out to other students in the course and introduce yourself.
Set up a regular time to meet with your study group to discuss the course material.
Take turns leading discussions and presenting your understanding of the material.
Quiz each other and test your understanding of the material.

Participate in a Literary Study Group

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Enhances understanding of literary works by discussing them with peers in a collaborative setting.

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Join a literary study group
Read the assigned literary work
Prepare questions and discussion points
Participate in group discussions
Share insights and perspectives

Practice active recall techniques

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Active recall is a learning technique that can help improve memory and retention.

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After reading a section of the course material, close your notes and try to recall the key points from memory.
If you get stuck, look back at your notes and try again.
Repeat this process several times until you can recall the key points without looking at your notes.

Create a presentation on a specific topic covered in the course

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Provides an opportunity to synthesize and present your understanding of the material.

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Choose a topic from the course that you are interested in.
Research the topic and gather information from various sources.
Create a presentation that outlines your understanding of the topic.
Practice your presentation and get feedback from others.
Deliver your presentation to the class or a group of peers.

Build a personal knowledge management system

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Provides an opportunity to apply the concepts learned in the course to a real-world project.

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Research different personal knowledge management systems.
Choose a system that meets your needs and interests.
Set up your system and start using it to organize your notes, ideas, and projects.
Track your progress and make adjustments to your system as needed.

Write a Literary Analysis Essay

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Develops critical thinking and writing skills by analyzing a literary work and constructing a well-argued essay.

Browse courses on Literary Analysis

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Choose a literary work for analysis
Read the work closely and take notes on its themes, characters, and literary devices
Develop a thesis statement that argues for a particular interpretation of the work
Organize your essay into an introduction, body paragraphs, and a conclusion
Write a draft of your essay
Revise and edit your essay
Submit your essay for feedback

Design a Literary Magazine

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Develops collaborative, design, and editing skills by creating a literary magazine that showcases student work.

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Form a team of students
Brainstorm ideas for the magazine's theme, content, and design
Solicit submissions from students and faculty
Design the layout of the magazine
Edit and proofread the submissions
Print and distribute the magazine

Contribute to a Literary Open Source Project

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Develops technical and collaborative skills by contributing to a literary open source project.

Browse courses on GitHub

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Identify a literary open source project
Fork the project and create a local copy
Make changes to the code
Submit a pull request
Work with other contributors to improve the project

Career center

Learners who complete Learn New Data Skills will develop knowledge and skills that may be useful to these careers:

Data Scientist

This course will provide a basis for the skills and knowledge that a Data Scientist requires, including how to glean insights from large and complex data sets, performing data analysis, and leveraging data for prediction and decision-making. It is particularly relevant as a foundation for those looking to build on their proficiency in programming languages like Python or R in the context of data science.

See salaries and explore the career path for Data Scientist

Data Analyst

For aspiring Data Analysts, this course offers an excellent opportunity to build a solid foundation in important data analysis practices, such as collecting, cleaning, organizing, and interpreting data in order to extract meaningful insights. It also introduces learners to data visualization techniques that are crucial for effectively communicating insights to stakeholders.

See salaries and explore the career path for Data Analyst

Business Analyst

This course may be useful for Business Analysts seeking to enhance their understanding of how data can be leveraged to drive business decisions. The course will provide a foundation in data analysis techniques, enabling them to extract insights from data and translate them into actionable recommendations for business improvement.

See salaries and explore the career path for Business Analyst

Machine Learning Engineer

For those aspiring to become Machine Learning Engineers, this course will provide a valuable foundation in data skills, particularly in areas such as data pre-processing, feature engineering, and model evaluation. These skills are essential for developing and deploying machine learning models that can solve real-world problems.

See salaries and explore the career path for Machine Learning Engineer

Statistician

This course may be useful for aspiring Statisticians by providing a foundation in data management and analysis techniques. The course will help them build proficiency in handling large data sets, performing statistical analysis, and interpreting data to draw meaningful conclusions.

See salaries and explore the career path for Statistician

Data Engineer

For individuals interested in becoming Data Engineers, this course offers an introduction to data management and analysis techniques. It will provide a foundation in data warehousing, data integration, and data quality management, which are essential skills for building and maintaining data infrastructure.

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Database Administrator

This course may be useful for aspiring Database Administrators by providing a foundation in data management and analysis techniques. The course will help them build proficiency in designing, implementing, and maintaining databases, ensuring the integrity and availability of data.

See salaries and explore the career path for Database Administrator

Data Architect

This course may be useful for those aspiring to become Data Architects by providing a foundation in data management and analysis techniques. The course will help them build proficiency in designing and implementing data architectures that meet the needs of an organization.

See salaries and explore the career path for Data Architect

Market Researcher

This course may be useful for aspiring Market Researchers by providing a foundation in data analysis techniques. The course will help them build proficiency in collecting, analyzing, and interpreting data to understand market trends and customer behavior.

See salaries and explore the career path for Market Researcher

Financial Analyst

This course may be useful for aspiring Financial Analysts by providing a foundation in data analysis techniques. The course will help them build proficiency in analyzing financial data to make investment recommendations and assess financial performance.

See salaries and explore the career path for Financial Analyst

Risk Analyst

This course may be useful for those aspiring to become Risk Analysts by providing a foundation in data analysis techniques. The course will help them build proficiency in identifying, assessing, and mitigating risks to an organization.

See salaries and explore the career path for Risk Analyst

Actuary

This course may be useful for those aspiring to become Actuaries by providing a foundation in data analysis techniques. The course will help them build proficiency in analyzing data to assess and manage financial risks.

See salaries and explore the career path for Actuary

Epidemiologist

This course may be useful for those aspiring to become Epidemiologists by providing a foundation in data analysis techniques. The course will help them build proficiency in analyzing data to investigate the causes and patterns of disease.

See salaries and explore the career path for Epidemiologist

Biostatistician

This course may be useful for those aspiring to become Biostatisticians by providing a foundation in data analysis techniques. The course will help them build proficiency in analyzing data to design and evaluate clinical trials, and to interpret medical research findings.

See salaries and explore the career path for Biostatistician

Data Journalist

This course may be useful for those aspiring to become Data Journalists by providing a foundation in data analysis techniques. The course will help them build proficiency in analyzing data to uncover and communicate insights in a compelling way.

See salaries and explore the career path for Data Journalist

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 Learn New Data Skills.

An Introduction to Statistical Learning

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Provides a comprehensive overview of the statistical concepts that are essential for understanding machine learning. It is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.

Learn New Data Skills

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