Data Science Tools from edX

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In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.

With the tools hosted in the cloud, you will be able to test each tool and follow instructions to run simple code in Python or R. To complete the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio on Cloud and demonstrate your proficiency in preparing a notebook, writing Markdown, and sharing your work with your peers.

This hands-on course will get you up and running with some of the latest and greatest data science tools.

What you'll learn

List various tools used by data scientists and machine learning engineers
Describe various programming languages used by data scientists such as Python, R, Julia and SQL
Explain the various components of a data scientist's toolkit, including Libraries, Packages, Data sets and Machine Learning Models
Explain the features of Jupyter Notebooks and how to use them
Work with popular tools employed by data scientists including RStudio IDE and GitHub
Create and share a Jupyter Notebook
Navigate IBM Watson Studio and describe its features and capabilities

What's inside

Learning objectives

List various tools used by data scientists and machine learning engineers
Describe various programming languages used by data scientists such as python, r, julia and sql
Explain the various components of a data scientist's toolkit, including libraries, packages, data sets and machine learning models
Explain the features of jupyter notebooks and how to use them

Work with popular tools employed by data scientists including rstudio ide and github
Create and share a jupyter notebook
Navigate ibm watson studio and describe its features and capabilities

List various tools used by data scientists and machine learning engineers
Describe various programming languages used by data scientists such as python, r, julia and sql
Explain the various components of a data scientist's toolkit, including libraries, packages, data sets and machine learning models
Explain the features of jupyter notebooks and how to use them
Work with popular tools employed by data scientists including rstudio ide and github
Create and share a jupyter notebook
Navigate ibm watson studio and describe its features and capabilities

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by three individuals who have a wealth of experience in the industry

Develops skills for data scientists and machine learning engineers, and working knowledge of popular data science tools

Hands-on course format enables learners to test tools and run code directly, providing practical experience

Introduces learners to Jupyter Notebooks, RStudio IDE, and IBM Watson Studio, which are widely used tools in the data science field

Emphasizes code literacy and proficiency in Python or R programming languages, which are essential for data science and machine learning

May require prior knowledge or experience with data science concepts and programming languages

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 Tools with these activities:

Gather data science resources

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Organize and curate a collection of useful data science resources, including tools, tutorials, and online communities.

Browse courses on Data Science

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Use search engines and online forums
Explore websites and platforms
Bookmark and categorize resources

Read 'Data Science for Dummies'

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Introduce yourself to the foundational concepts of data science and reinforce knowledge of the programming languages Python and R.

View Artificial Intelligence For Dummies (For... on Amazon

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Begin reading chapters 1-3
Complete exercises at the end of each chapter
Take notes and summarize key ideas

Read 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow'

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Enhance your knowledge of machine learning algorithms and techniques by reading this comprehensive guide.

View Hands-On Machine Learning with Scikit-Learn,... on Amazon

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Begin reading chapters 1-4
Complete exercises at the end of each chapter
Take notes and summarize key ideas

Five other activities

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Explore Jupyter Notebook tutorials

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Deepen your understanding of Jupyter Notebooks by following guided tutorials that demonstrate how to use its features and tools.

Browse courses on Jupyter Notebooks

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Search for Jupyter Notebook tutorials
Select tutorials on topics like data exploration and visualization
Follow tutorial instructions

Complete Python coding exercises

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Strengthen your Python programming skills by completing coding exercises that cover data manipulation and analysis techniques.

Browse courses on Python

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Visit LeetCode or HackerRank
Select Python coding exercises
Solve coding exercises
Debug and optimize code

Join a study group

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Engage with fellow students and form study groups to discuss course concepts, collaborate on projects, and share insights.

Browse courses on Collaboration

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Find other students taking the course
Schedule regular study sessions
Review course material together
Discuss problem sets

Build a data analysis dashboard

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Apply your data analysis skills to a practical project by building an interactive dashboard to visualize and analyze data.

Browse courses on Data Visualization

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Choose a dataset
Clean and prepare data
Design and develop dashboard using Tableau
Publish and share dashboard

Develop a data science portfolio

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Showcase your data science skills by creating a portfolio that highlights your projects, experience, and technical proficiency.

Browse courses on Portfolio Development

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Select projects to include
Create a website or online platform
Document your work
Share your portfolio

Career center

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

Data Scientist

Data Scientists use tools such as machine learning, statistical analysis, and modeling to build systems that help companies make decisions. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Data Scientists improve their productivity and efficiency.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Machine Learning Engineers improve their productivity and efficiency.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts use statistical analysis, machine learning, and modeling to transform data into actionable insights. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Data Analysts improve their productivity and efficiency.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Software Engineers improve their productivity and efficiency.

See salaries and explore the career path for Software Engineer

Data Architect

Data Architects design and build data architectures that support the needs of an organization. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Data Architects improve their productivity and efficiency.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators manage and maintain databases. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Database Administrators improve their productivity and efficiency.

See salaries and explore the career path for Database Administrator

Business Analyst

Business Analysts use data to solve business problems. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Business Analysts improve their productivity and efficiency.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers plan and execute projects. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Project Managers improve their productivity and efficiency.

See salaries and explore the career path for Project Manager

Statistician

Statisticians use statistical methods to analyze data. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Statisticians improve their productivity and efficiency.

See salaries and explore the career path for Statistician

Operations Research Analyst

Operations Research Analysts use mathematical and statistical methods to solve business problems. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Operations Research Analysts improve their productivity and efficiency.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts use financial data to make investment decisions. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Financial Analysts improve their productivity and efficiency.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

Market Research Analysts use data to understand consumer behavior. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Market Research Analysts improve their productivity and efficiency.

See salaries and explore the career path for Market Research Analyst

Technical Writer

Technical Writers create documentation for technical products. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Technical Writers improve their productivity and efficiency.

See salaries and explore the career path for Technical Writer

Computer Systems Analyst

Computer Systems Analysts design and implement computer systems. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Computer Systems Analysts improve their productivity and efficiency.

See salaries and explore the career path for Computer Systems Analyst

Information Security Analyst

Information Security Analysts protect computer systems from unauthorized access. This course provides a foundation in data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. The course covers the features and capabilities of these tools, which can help Information Security Analysts improve their productivity and efficiency.

See salaries and explore the career path for Information Security Analyst