We may earn an affiliate commission when you visit our partners.

Creating an Analytical Dataset

Take Udacity's free analytical dataset course and learn how to prepare data to ensure the efficacy of your analysis while improving fluency in Alteryx. Learn online with Udacity.

Enroll now

Here's a deal for you

We found an offer that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Use code at checkout. Valid for a limited time only

Bootcamp level quality

Complete hands-on projects and get personalized feedback with Udacity.

What's inside

Syllabus

Understand the most common data types. Understand the various sources of data.

Identify common types of dirty data. Make adjustments to dirty data to prepare a dataset. Identify and adjust for outliers.

Summarize, cross-tabulate, transpose, and reformat data to prepare a dataset for analysis.

Join and union data from different sources and formats.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers essential data types and sources, ensuring a strong foundation

Addresses common data quality issues and provides techniques for data preparation

Develops skills in data summarization, cross-tabulation, and reformatting, which are essential for data analysis

Provides hands-on experience with Alteryx, a leading data analytics tool

Maureen Wolfson, an experienced instructor, guides learners through the course

Offers a blend of videos, readings, and hands-on labs, enhancing the learning experience

Save this course

Save Creating an Analytical Dataset to your list so you can find it easily later:

Save

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 Creating an Analytical Dataset with these activities:

Review basic data types and data sources

Show steps

Strengthen the foundation in data fundamentals, ensuring familiarity with different data types and sources

Browse courses on Data Types

Show steps

Revisit your notes or review online resources on data types
Identify common data sources and their characteristics

Read 'Data Preparation for Data Science' by Nathan Yau

Show steps

Provide a comprehensive understanding of the principles and processes involved in data preparation for data science

View Visualize This on Amazon

Show steps

Read the book thoroughly, focusing on key concepts and techniques
Summarize the main takeaways and apply them to your own data preparation tasks

Watch a tutorial on data preparation in Alteryx

Show steps

Provide a visual introduction to data preparation techniques in Alteryx and reinforce the concepts covered in the course

Show steps

Search for a beginner-friendly tutorial on Alteryx data preparation
Watch the tutorial and take notes on the key steps involved in data preparation

Five other activities

Expand to see all activities and additional details

Show all eight activities

Practice data summarizing and tabulation in Alteryx

Show steps

Provide hands-on practice in using Alteryx tools for data summarization and tabulation, enhancing proficiency in data manipulation

Show steps

Open an Alteryx workflow and import a dataset
Summarize a numeric column using the Summarize tool
Create a crosstabulation of two categorical columns

Develop a data preparation pipeline for a specific dataset

Show steps

Provide hands-on experience in designing and implementing a comprehensive data preparation pipeline, showcasing end-to-end data management skills

Show steps

Choose a dataset and define the data preparation goals
Design a data preparation pipeline using Alteryx tools
Implement the pipeline and evaluate its effectiveness

Create a data dashboard that visualizes data preparation results

Show steps

Foster data visualization skills and solidify understanding of how to present data preparation results effectively

Show steps

Select relevant metrics and dimensions from the prepared data
Design and develop a data dashboard using appropriate visualization techniques
Interpret and communicate insights from the visualized data

Create a presentation on best practices for data preparation

Show steps

Encourage critical thinking, analytical skills, and effective communication by synthesizing knowledge on best practices in data preparation

Show steps

Research different techniques and methodologies for data preparation
Create a presentation that visually explains the best practices and their benefits
Present the findings to peers or colleagues to share knowledge

Volunteer with a data science or analytics organization

Show steps

Provide practical experience working with real-world data, fostering teamwork and problem-solving skills

Show steps

Identify organizations that align with your interests in data science or analytics
Contact the organizations and inquire about volunteer opportunities
Participate in projects and contribute to data-related tasks

Career center

Learners who complete Creating an Analytical Dataset will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts interpret large datasets to help organizations make informed decisions. The skills and knowledge gained in the Creating an Analytical Data Set course can be applied directly to data collection, cleaning, managing, and summarizing, which are essential tasks for this role. The course also provides a strong foundation in using Alteryx, a software specifically designed for data analysis.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists develop and implement machine learning and statistical models to solve complex business problems. The data preparation techniques and principles covered in Creating an Analytical Data Set provide a foundational understanding of how to work with data effectively. Furthermore, the course's emphasis on Alteryx can be particularly beneficial for Data Scientists as it can streamline and automate many aspects of data analysis.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians use statistical methods to analyze data and draw conclusions. The Creating an Analytical Data Set course provides a strong foundation in data preparation and analysis techniques, which are essential skills for Statisticians. Additionally, the course's emphasis on data visualization can help Statisticians communicate their findings effectively to non-technical audiences.

See salaries and explore the career path for Statistician

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models to solve complex business problems. The Creating an Analytical Data Set course provides a foundational understanding of data preparation and analysis techniques, which are essential for this role. Additionally, the course's emphasis on Alteryx can be particularly beneficial for Machine Learning Engineers as it can be used to automate many aspects of data analysis and model development.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

The Creating an Analytical Data Set course can be beneficial for Business Analysts who need to use data to make informed decisions and communicate insights to stakeholders. The course provides a comprehensive overview of data types, data sources, and data cleaning techniques, all of which are essential skills for Business Analysts. Additionally, the course's emphasis on data visualization and presentation can help Business Analysts effectively communicate their findings to non-technical audiences.

See salaries and explore the career path for Business Analyst

Data Visualization Specialist

Data Visualization Specialists create visual representations of data to help users understand complex information. The Creating an Analytical Data Set course provides a strong foundation in data preparation and analysis techniques, which are essential for this role. Additionally, the course's focus on data visualization and presentation can help Data Visualization Specialists design and develop effective data visualizations.

See salaries and explore the career path for Data Visualization Specialist

Data Engineer

Data Engineers design and build data pipelines and systems to support data analysis and reporting. The Creating an Analytical Data Set course can be useful for Data Engineers as it provides a comprehensive overview of data types, data sources, and data cleaning techniques, all of which are essential for this role. Additionally, the course's emphasis on data quality and data governance can help Data Engineers ensure that the data they are working with is accurate and reliable.

See salaries and explore the career path for Data Engineer

Data Architect

Data Architects design and manage data systems to support business intelligence and analytics. The Creating an Analytical Data Set course provides a comprehensive overview of data types, data sources, and data management techniques, all of which are essential skills for this role. Additionally, the course's emphasis on data quality and data governance can help Data Architects ensure that the data systems they design are reliable and efficient.

See salaries and explore the career path for Data Architect

Health Data Analyst

The Creating an Analytical Data Set course may be useful for Health Data Analysts who need to work with health data. The course provides a comprehensive overview of data types, data sources, and data analysis techniques, which can be beneficial for Health Data Analysts who need to prepare and analyze health data to improve patient care and outcomes.

See salaries and explore the career path for Health Data Analyst

Database Administrator

The Creating an Analytical Data Set course may be useful for Database Administrators who need to work with data from multiple sources and formats. The course provides a comprehensive overview of data types, data sources, and data integration techniques, which can be beneficial for Database Administrators who need to design and manage databases that support data analysis and reporting.

See salaries and explore the career path for Database Administrator

Financial Analyst

The Creating an Analytical Data Set course may be useful for Financial Analysts who need to work with financial data. The course provides a comprehensive overview of data types, data sources, and data analysis techniques, which can be beneficial for Financial Analysts who need to prepare and analyze financial data to make investment decisions.

See salaries and explore the career path for Financial Analyst

Quantitative Analyst

The Creating an Analytical Data Set course may be useful for Quantitative Analysts who need to prepare and analyze large datasets. The course provides a comprehensive overview of data types, data sources, and data analysis techniques, which can be beneficial for Quantitative Analysts who need to develop and implement quantitative models to solve business problems.

See salaries and explore the career path for Quantitative Analyst

Actuary

The Creating an Analytical Data Set course may be useful for Actuaries who need to analyze data to assess risk. The course provides a comprehensive overview of data types, data sources, and data analysis techniques, which can be beneficial for Actuaries who need to develop and implement models to assess the risk of insurance policies.

See salaries and explore the career path for Actuary

Epidemiologist

The Creating an Analytical Data Set course may be useful for Epidemiologists who need to analyze data to understand the causes and spread of disease. The course provides a comprehensive overview of data types, data sources, and data analysis techniques, which can be beneficial for Epidemiologists who need to design and conduct epidemiological studies.

See salaries and explore the career path for Epidemiologist

Market Researcher

The Creating an Analytical Data Set course may be useful for Market Researchers who need to collect and analyze data to understand consumer behavior. The course provides a comprehensive overview of data types, data sources, and data analysis techniques, which can be beneficial for Market Researchers who need to design and conduct market research studies.

See salaries and explore the career path for Market Researcher

Reading list

We've selected 21 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 Creating an Analytical Dataset.

An Introduction to Statistical Learning

Save

Provides a comprehensive overview of statistical learning methods, which are used in data analytics to build predictive models. It valuable resource for data analysts who want to learn more about the statistical foundations of data analytics.

Creating an Analytical Dataset

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses