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Josh Bernhard ,
Derek Steer,
Mat Leonard,
Dana Sheahan,
and
Sam Nelson
Welcome to the program! In this part, you will get an orientation into using our classroom and services. You’ll also get advice for making the best use of your time while enrolled in this program.
Register for this course and see more details by visiting:
OpenCourser.com/course/e6ao5c/welcome
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What's inside
Syllabus
Welcome to the Business Analytics Nanodegree program! In this lesson, you will learn more about the structure of the program and meet the team.
Read more
Syllabus
Welcome to the Business Analytics Nanodegree program! In this lesson, you will learn more about the structure of the program and meet the team.
Read more
In this lesson, you will learn more about the structure of the program and how to navigate yourself through the learning experience.
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
What to do if you have questions about your account or general questions about the program.
In this project, you’ll explore an interactive data dashboard to uncover insights, and write a short report explaining each insight.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores core organizational structures and their application in real-world contexts
Taught by industry experts with extensive experience in business analytics
Covers a wide range of topics relevant to business analytics, including data analysis, visualization, and modeling
Provides hands-on experience through projects and case studies
Requires a strong foundation in mathematics and statistics
May require additional software or tools that are not readily available
Save this course
Save Welcome to the Nanodegree Program to your list so you can find it easily later:
Save
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 Welcome to the Nanodegree Program with these
activities:
Review probability and statistics
Show steps
Refresh your knowledge of probability and statistics to strengthen your foundation for data analysis.
Browse courses on
Probability
Show steps
-
Review the concepts of probability.
-
Review the concepts of statistics.
-
Solve some practice problems.
Review Python programming
Show steps
Sharpen your Python programming skills before the course starts to ensure you're ready for the coding challenges.
Browse courses on
Python
Show steps
-
Review the basics of Python programming.
-
Practice writing Python code.
-
Complete some coding exercises.
Read: Data Analytics Made Accessible
Show steps
Familiarize yourself with the key concepts of business analytics before the course begins.
View
Big Data: Second Edition
on Amazon
Show steps
-
Read the introductory chapter.
-
Read the chapter on data collection and preparation.
-
Read the chapter on data analysis and visualization.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Create a personalized analytics resource collection
Show steps
Organize and curate resources to enhance knowledge acquisition and long-term retention.
Browse courses on
Business Analytics
Show steps
-
Identify relevant books, articles, and online resources
-
Categorize and organize the resources
-
Share the resource collection with peers
Practice data exploration techniques
Show steps
Reinforce fundamental data exploration concepts covered in the course.
Browse courses on
Data Exploration
Show steps
-
Load data into a data exploration tool
-
Explore data using visualization techniques
-
Identify patterns and trends in the data
Solve data analysis problems
Show steps
Test and reinforce your understanding of data analysis concepts by solving problems.
Browse courses on
Data Analysis
Show steps
-
Find online data analysis problems.
-
Solve the problems using the techniques you've learned in the course.
-
Check your solutions against the provided answers.
Explore advanced data visualization techniques
Show steps
Enhance data visualization skills beyond the scope of the course, leading to more effective data presentation.
Browse courses on
Data Visualization
Show steps
-
Identify the types of data visualization techniques
-
Choose the appropriate visualization technique for the data
-
Create and interpret data visualizations
Learn about data visualization techniques
Show steps
Expand your data visualization skills by following tutorials on advanced techniques.
Browse courses on
Data Visualization
Show steps
-
Find tutorials on data visualization techniques.
-
Follow the tutorials and practice using the techniques.
Analyze a real-world business dataset
Show steps
Apply data analysis skills to a practical scenario, fostering deeper understanding.
Browse courses on
Data Analysis
Show steps
-
Define the business problem and objectives
-
Collect and clean the data
-
Perform data analysis and draw insights
-
Communicate findings in a clear and concise manner
Create a data analysis dashboard
Show steps
Demonstrate your ability to analyze data and communicate insights effectively by creating a dashboard.
Browse courses on
Data Analysis
Show steps
-
Gather data from a relevant source.
-
Clean and prepare the data.
-
Create visualizations to represent the data.
-
Develop a dashboard layout and organize the visualizations.
Build a data analysis model
Show steps
Put your data analysis skills to the test by building a model to solve a real-world problem.
Browse courses on
Data Modeling
Show steps
-
Identify a problem that can be solved with data analysis.
-
Gather and prepare the necessary data.
-
Explore the data and identify patterns.
-
Develop a data analysis model.
-
Evaluate the model's performance.
Review probability and statistics
Show steps
Refresh your knowledge of probability and statistics to strengthen your foundation for data analysis.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review the concepts of probability.
- Review the concepts of statistics.
- Solve some practice problems.
Review Python programming
Show steps
Sharpen your Python programming skills before the course starts to ensure you're ready for the coding challenges.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review the basics of Python programming.
- Practice writing Python code.
- Complete some coding exercises.
Read: Data Analytics Made Accessible
Show steps
Familiarize yourself with the key concepts of business analytics before the course begins.
View
Big Data: Second Edition
on Amazon
Show steps
Show steps
Show steps
- Read the introductory chapter.
- Read the chapter on data collection and preparation.
- Read the chapter on data analysis and visualization.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Create a personalized analytics resource collection
Show steps
Organize and curate resources to enhance knowledge acquisition and long-term retention.
Browse courses on
Business Analytics
Show steps
Show steps
Show steps
- Identify relevant books, articles, and online resources
- Categorize and organize the resources
- Share the resource collection with peers
Practice data exploration techniques
Show steps
Reinforce fundamental data exploration concepts covered in the course.
Browse courses on
Data Exploration
Show steps
Show steps
Show steps
- Load data into a data exploration tool
- Explore data using visualization techniques
- Identify patterns and trends in the data
Solve data analysis problems
Show steps
Test and reinforce your understanding of data analysis concepts by solving problems.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online data analysis problems.
- Solve the problems using the techniques you've learned in the course.
- Check your solutions against the provided answers.
Explore advanced data visualization techniques
Show steps
Enhance data visualization skills beyond the scope of the course, leading to more effective data presentation.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify the types of data visualization techniques
- Choose the appropriate visualization technique for the data
- Create and interpret data visualizations
Learn about data visualization techniques
Show steps
Expand your data visualization skills by following tutorials on advanced techniques.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find tutorials on data visualization techniques.
- Follow the tutorials and practice using the techniques.
Analyze a real-world business dataset
Show steps
Apply data analysis skills to a practical scenario, fostering deeper understanding.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Define the business problem and objectives
- Collect and clean the data
- Perform data analysis and draw insights
- Communicate findings in a clear and concise manner
Create a data analysis dashboard
Show steps
Demonstrate your ability to analyze data and communicate insights effectively by creating a dashboard.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Gather data from a relevant source.
- Clean and prepare the data.
- Create visualizations to represent the data.
- Develop a dashboard layout and organize the visualizations.
Build a data analysis model
Show steps
Put your data analysis skills to the test by building a model to solve a real-world problem.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Identify a problem that can be solved with data analysis.
- Gather and prepare the necessary data.
- Explore the data and identify patterns.
- Develop a data analysis model.
- Evaluate the model's performance.
Career center
Learners who complete Welcome to the Nanodegree Program will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use scientific methods to extract knowledge from data. This course provides an orientation to using data dashboards and services, which can be helpful for Data Scientists who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Data Scientists who need to manage their time effectively to complete projects and meet deadlines.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. This course provides an orientation to using data dashboards and services, which can be helpful for Business Analysts who need to use these tools to extract insights from data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Business Analysts who need to manage their time effectively to complete projects and meet deadlines.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical methods to solve business problems. This course provides an orientation to using data dashboards and services, which can be helpful for Operations Research Analysts who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Operations Research Analysts who need to manage their time effectively to complete projects and meet deadlines.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course provides an orientation to using data dashboards and services, which can be helpful for Data Analysts who need to use these tools to extract insights from data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Data Analysts who need to manage their time effectively to complete projects and meet deadlines.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer networks and systems from unauthorized access, use, or disclosure. This course provides an orientation to using data dashboards and services, which can be helpful for Information Security Analysts who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Information Security Analysts who need to manage their time effectively to complete projects and meet deadlines.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make investment recommendations. This course provides an orientation to using data dashboards and services, which can be helpful for Financial Analysts who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Financial Analysts who need to manage their time effectively to complete projects and meet deadlines.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. This course provides an orientation to using data dashboards and services, which can be helpful for Risk Analysts who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Risk Analysts who need to manage their time effectively to complete projects and meet deadlines.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze financial data. This course provides an orientation to using data dashboards and services, which can be helpful for Quantitative Analysts who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Quantitative Analysts who need to manage their time effectively to complete projects and meet deadlines.
Actuary
Actuary
Actuaries use mathematical and statistical methods to assess risk and uncertainty. This course provides an orientation to using data dashboards and services, which can be helpful for Actuaries who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Actuaries who need to manage their time effectively to complete projects and meet deadlines.
Auditor
Auditor
Auditors examine financial records to ensure accuracy and compliance. This course provides an orientation to using data dashboards and services, which can be helpful for Auditors who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Auditors who need to manage their time effectively to complete projects and meet deadlines.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about markets and customers. This course provides an orientation to using data dashboards and services, which can be helpful for Market Researchers who need to use these tools to extract insights from data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Market Researchers who need to manage their time effectively to complete projects and meet deadlines.
Compliance Officer
Compliance Officer
Compliance Officers ensure that businesses comply with laws and regulations. This course provides an orientation to using data dashboards and services, which can be helpful for Compliance Officers who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Compliance Officers who need to manage their time effectively to complete projects and meet deadlines.
Data Protection Officer
Data Protection Officer
Data Protection Officers are responsible for protecting personal data from unauthorized access, use, or disclosure. This course provides an orientation to using data dashboards and services, which can be helpful for Data Protection Officers who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Data Protection Officers who need to manage their time effectively to complete projects and meet deadlines.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the accuracy, consistency, and integrity of data. This course provides an orientation to using data dashboards and services, which can be helpful for Data Governance Analysts who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Data Governance Analysts who need to manage their time effectively to complete projects and meet deadlines.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts help organizations comply with data privacy laws and regulations. This course provides an orientation to using data dashboards and services, which can be helpful for Data Privacy Analysts who need to use these tools to visualize and explore data. Additionally, the course provides advice for making the best use of time, which can be beneficial for Data Privacy Analysts who need to manage their time effectively to complete projects and meet deadlines.
For more career information including salaries, visit:
OpenCourser.com/course/e6ao5c/welcome
Reading list
We've selected ten 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
Welcome to the Nanodegree Program.
Provides a comprehensive overview of Python for data analysis, from data cleaning and manipulation to data visualization and machine learning. It valuable resource for anyone who wants to learn more about how to use Python to analyze data.
Save
Provides a comprehensive overview of R for data science, from data cleaning and manipulation to data visualization and machine learning. It valuable resource for anyone who wants to learn more about how to use R to analyze data.
Provides a comprehensive overview of big data analytics for business, from data collection and storage to data analysis and visualization. It valuable resource for anyone who wants to learn more about how to use big data to make better business decisions.
Provides a comprehensive overview of how to use analytics to gain a competitive advantage in business. It valuable resource for anyone who wants to learn more about how to use data to make better decisions.
Provides a comprehensive overview of how to use analytics to gain a competitive advantage in business. It valuable resource for anyone who wants to learn more about how to use data to make better decisions.
Provides a practical guide to using data analytics in everyday business decisions. It valuable resource for anyone who wants to learn more about how to use data to improve operations, customer service, and marketing.
Provides a comprehensive overview of applied data science, from data collection and cleaning to data analysis and visualization. It valuable resource for anyone who wants to learn more about how to use data to solve real-world problems.
Provides a comprehensive overview of statistical learning, from supervised learning to unsupervised learning. It valuable resource for anyone who wants to learn more about how to use statistical learning to make predictions and improve decision-making.
Provides a practical introduction to machine learning, with a focus on using machine learning to solve real-world problems. It valuable resource for anyone who wants to learn more about how to use machine learning to make predictions and improve decision-making.
Save
Provides a comprehensive overview of deep learning, from deep learning architectures to deep learning applications. It valuable resource for anyone who wants to learn more about how to use deep learning to solve real-world problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/e6ao5c/welcome
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Instructors
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Derek Steer
Mat Leonard
Dana Sheahan
Sam Nelson
Language
English
Good to know
Explores core organizational structures and their application in real-world contexts
Taught by industry experts with extensive experience in business analytics
Covers a wide range of topics relevant to business analytics, including data analysis, visualization, and modeling
Provides hands-on experience through projects and case studies
Requires a strong foundation in mathematics and statistics
May require additional software or tools that are not readily available
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