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Data Science Fluency

Take our Data Science for Beginners course and learn the data science process, including how to build effective data visualizations and how to communicate with various stakeholders.

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What's inside

Syllabus

In this lesson, you will learn about the basics of data science such as what data science is and why it is important.

In this lesson, you will learn about the basics of data analysis such as data types and summary statistics.

In this lesson, you will learn about CRISP-DM and how you can apply it to many data science problems.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Tailored to beginners, providing a well-rounded foundation in foundational data science concepts and processes

Builds practical skills and knowledge, focusing on developing proficiency in data visualization and communication techniques

Taught through a guided path with organized modules, fostering efficient learning

Leverages industry-relevant tools and techniques, ensuring practical relevance and applicability

Suitable for individuals seeking an introduction to data science and its core concepts

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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 Data Science Fluency with these activities:

Review CRISP-DM introduction materials

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Refresh your knowledge of the CRISP-DM process to strengthen your foundation in data science.

Browse courses on CRISP-DM

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Review the CRISP-DM phases and their descriptions.
Identify real-world examples of each phase of CRISP-DM.
Discuss the benefits and challenges of using CRISP-DM.

Compile a collection of data visualization resources

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Gather valuable resources related to data visualization to support your ongoing learning.

Browse courses on Online Courses

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Search for online data visualization courses, tutorials, and articles.
Identify reputable sources and add them to a curated list.
Organize the resources by topic or skill level.

Data cleaning and manipulation exercises

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Refine your data wrangling skills through repetitive exercises, preparing you to effectively work with datasets.

Browse courses on Data Cleaning

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Find online data cleaning and manipulation exercises.
Practice cleaning and manipulating data using tools like pandas or SQL.
Compare your results with provided solutions.

Five other activities

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Read 'Data Science for Beginners' by Foster Provost and Tom Fawcett

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Gain a comprehensive understanding of data science concepts and methodologies by exploring this introductory book.

View Data Science for Business: What You Need to... on Amazon

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Read through the book's chapters.
Take notes and highlight key concepts.
Complete the practice exercises provided in the book.

Follow tutorials on data visualization tools

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Enhance your data visualization skills by following guided tutorials and practicing with real-world datasets.

Browse courses on Tableau

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Choose a data visualization tool (e.g., Tableau, Power BI).
Find and follow online tutorials for the selected tool.
Practice creating visualizations using sample datasets.
Experiment with different chart types and explore advanced features.

Connect with experienced data scientists for mentorship

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Seek guidance and support from experienced professionals to accelerate your growth in data science.

Browse courses on Mentorship

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Identify potential mentors through professional networks or online platforms.
Reach out to mentors and express your interest in mentorship.
Establish regular communication and seek advice on your career and skill development.

Data visualization project using real-world data

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Apply your data visualization skills to a practical project, deepening your understanding and showcasing your abilities.

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Identify a real-world dataset that interests you.
Clean and prepare the data for visualization.
Choose appropriate data visualization techniques.
Create interactive visualizations to explore and present the data.
Document your project and share it with others.

Build a data visualization dashboard using a real-world dataset

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Demonstrate your ability to create a functional and visually appealing data visualization dashboard.

Browse courses on Dashboard Development

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Identify a suitable dataset and business question.
Design and develop the dashboard using a data visualization tool.
Test and iterate on the dashboard based on feedback.
Publish and share the final dashboard.

Career center

Learners who complete Data Science Fluency will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists help improve the world by bringing actionable insights from data. By taking this course, you will learn how to use data, data visualization, and communication skills to make the world a better place.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Scientists make use of a variety of techniques to analyze data and communicate their findings. One of the key techniques is data visualization. Data visualization helps communicate insights to stakeholders. This course teaches the foundations of data visualization. Additionally, Data Scientists must communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Data Analyst

Market Research Analyst

Market Research Analysts collect, analyze, and interpret market data to help businesses make informed decisions. This course will teach you the basics of data analysis, which is a key skill for Market Research Analysts. Additionally, Market Research Analysts must be able to communicate their findings to a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Market Research Analyst

Business Analyst

Business Analysts use data to help businesses improve their performance. This course will help you build a foundation in data analysis, which is a key skill for Business Analysts. Additionally, Business Analysts must be able to communicate their findings to a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use data to help organizations make better decisions. This course will teach you the basics of operations research, which is a key skill for Operations Research Analysts. Additionally, Operations Research Analysts must be able to communicate their findings to a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Operations Research Analyst

Machine Learning Engineer

Machine Learning Engineers build and maintain the models that make it possible to use data to make predictions and decisions. This course will teach you the basics of machine learning, which is a key skill for Machine Learning Engineers. Additionally, Machine Learning Engineers must be able to communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers build and maintain the infrastructure that makes it possible to collect, store, and analyze data. This course will teach you the basics of data engineering, which is a key skill for Data Engineers. Additionally, Data Engineers must be able to communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Data Engineer

Statistician

Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. This course will teach you the basics of statistics, which is a key skill for Statisticians. Additionally, Statisticians must be able to communicate their findings to a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Statistician

Software Engineer

Software Engineers design, develop, and maintain software applications. This course will teach you the basics of software engineering, which is a key skill for Software Engineers. Additionally, Software Engineers must be able to communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use data to make investment decisions. This course will teach you the basics of quantitative analysis, which is a key skill for Quantitative Analysts. Additionally, Quantitative Analysts must be able to communicate their findings to a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Quantitative Analyst

Data Privacy Analyst

Data Privacy Analysts help organizations comply with data privacy laws and regulations. This course will teach you the basics of data privacy, which is a key skill for Data Privacy Analysts. Additionally, Data Privacy Analysts must be able to communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Data Privacy Analyst

Data Architect

Data Architects design and manage the data infrastructure that makes it possible to collect, store, and analyze data. This course will teach you the basics of data architecture, which is a key skill for Data Architects. Additionally, Data Architects must be able to communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators manage the databases that store data. This course will teach you the basics of database administration, which is a key skill for Database Administrators. Additionally, Database Administrators must be able to communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course will teach you the basics of information security, which is a key skill for Information Security Analysts. Additionally, Information Security Analysts must be able to communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Information Security Analyst

Data Governance Analyst

Data Governance Analysts develop and implement policies and procedures to ensure that data is used ethically and responsibly. This course will teach you the basics of data governance, which is a key skill for Data Governance Analysts. Additionally, Data Governance Analysts must be able to communicate with a variety of stakeholders, including those with a non-technical background. This course teaches how to communicate complex technical information clearly and effectively.

See salaries and explore the career path for Data Governance Analyst

Reading list

We've selected 14 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 Data Science Fluency.

The Data Science Handbook

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Provides a comprehensive overview of data science concepts, techniques, and tools, and valuable resource for learners who want to deepen their understanding of the field.

Data Science Fluency

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What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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