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Problem Solving with Advanced Analytics

Take Udacity's free Advanced Analytics course and learn a scientific approach to solving problems with data to help make business decisions. Learn online with Udacity.

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Syllabus

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Provides a structured approach to problem-solving using data-driven techniques

Suitable for learners seeking to enhance their analytical skills for business decision-making

Builds a foundation in linear regression models, which are widely used in business analytics

Taught by Patrick Nussbaumer, an experienced instructor in advanced analytics

Part of Udacity's portfolio, known for its industry-aligned courses and collaborations with leading tech companies

Free to access, making it accessible to a wider audience

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Reviews summary

Practical analytics for business problem solving

According to learners, this course offers a practical and structured approach to using analytics for business problems, making it particularly valuable for those seeking real-world application. Many highlight the effective way it teaches how to select appropriate methodologies and apply linear regression models. While generally perceived as highly beneficial, some students with prior experience note that the 'advanced' in the title might be misleading, as the content often serves as a strong introduction or refresher rather than a deep dive into highly complex topics. The hands-on activities and focus on business decision-making are frequently praised.

Offers a valuable framework for approaching analytical problem-solving.

"The structured framework taught in this course is incredibly useful for tackling any data problem scientifically."

"I really appreciated the step-by-step approach to problem-solving, making it easy to follow along."

"Learning how to select the most appropriate analytical methodology was a key takeaway for me."

Provides a clear and understandable introduction to linear regression.

"I finally understood linear regression beyond just the math. The explanations were very clear and easy to follow."

"The way they broke down linear regression and its applications was fantastic, making complex ideas accessible."

"This course solidified my understanding of how to build and validate linear regression models for business."

Emphasizes applying analytics to real-world business problems.

"The course really helped me connect theoretical analytics concepts to real-world business problems. The case studies were spot on."

"I learned how to apply data insights directly to business challenges, which is exactly what I needed for my role."

"This course is excellent for gaining practical strategies to solve problems with data in a business context."

Perceived as more of an introduction than truly 'advanced' analytics.

"The 'advanced' in the title is misleading. It's a good intro to regression, but not what I'd call advanced."

"If you have any background in statistics or data, this course will be boring. Not 'advanced' at all."

"I expected more depth into various advanced techniques, but it focused primarily on foundational linear regression."

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 Problem Solving with Advanced Analytics with these activities:

Review basic statistics concepts

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Refreshes foundational knowledge in statistics, which is essential for comprehending advanced analytics techniques.

Browse courses on Basic Statistics

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Review online resources or textbooks.
Complete practice exercises to test understanding.

Connect with data analytics professionals

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Provides opportunities for guidance and support from experts in the field.

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Attend industry events or online forums.
Reach out to professionals on LinkedIn or other networking platforms.
Attend workshops or conferences where data analytics professionals gather.

Participate in study groups

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Encourages collaboration, peer learning, and knowledge sharing.

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Form or join a study group with other course participants.
Meet regularly to discuss course material, solve problems, and quiz each other.
Provide feedback and support to group members.

Four other activities

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Follow tutorials on inferential statistics

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Reinforces the concepts of inferential statistics covered in the course.

Browse courses on Inferential Statistics

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Identify online tutorials on inferential statistics.
Follow the tutorials, taking notes on key concepts.
Complete any practice exercises provided in the tutorials.

Solve practice regression problems

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Provides hands-on practice in applying regression techniques.

Browse courses on Regression Analysis

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Collect a dataset suitable for regression analysis.
Build regression models using different techniques.
Evaluate the performance of the models.

Create a data visualization dashboard

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Develops skills in communicating insights through visual representations.

Browse courses on Data Visualization

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Identify a dataset and key metrics to visualize.
Select appropriate visualization techniques.
Use a data visualization tool to create the dashboard.
Present the dashboard to peers or a mentor.

Develop a data analytics solution for a real-world problem

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Applies course concepts to solve a practical problem, fostering critical thinking and problem-solving skills.

Browse courses on Data-Driven Decision-Making

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Identify a problem or opportunity that can be addressed with data.
Collect and analyze data to understand the problem.
Develop and implement a data-driven solution.
Evaluate the effectiveness of the solution.

Career center

Learners who complete Problem Solving with Advanced Analytics will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use data to build models that can solve problems and predict future outcomes. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Data Scientists. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as a Data Scientist.

See salaries and explore the career path for Data Scientist

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of industries. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Operations Research Analysts. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Data Analyst

Data Analysts extract insights from data to help businesses make informed decisions. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Data Analysts. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Machine Learning Engineers. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as a Machine Learning Engineer

See salaries and explore the career path for Machine Learning Engineer

Statistician

Statisticians use data to solve problems and make predictions. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Statisticians. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as a Statistician.

See salaries and explore the career path for Statistician

Business Analyst

Business Analysts use data to help businesses improve their performance. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Business Analysts. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers build and maintain data pipelines. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Data Engineers. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as a Data Engineer.

See salaries and explore the career path for Data Engineer

Market Research Analyst

Market Research Analysts use data to understand consumer behavior and trends. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Market Research Analysts. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as a Market Research Analyst.

See salaries and explore the career path for Market Research Analyst

Financial Analyst

Financial Analysts use data to make investment recommendations. This course will help you develop the skills necessary to solve problems with data, which is a critical skill for Financial Analysts. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will give you the foundation you need to succeed as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Product Manager

Product Managers develop and manage products. This course may be useful for Product Managers who want to learn how to use data to make better decisions about their products. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will help you build a foundation in data science, which can be beneficial for Product Managers who want to make data-driven decisions.

See salaries and explore the career path for Product Manager

Operations Manager

Operations Managers plan and execute operational activities. This course may be useful for Operations Managers who want to learn how to use data to make better decisions about their operations. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will help you build a foundation in data science, which can be beneficial for Operations Managers who want to make data-driven decisions.

See salaries and explore the career path for Operations Manager

Marketing Manager

Marketing Managers plan and execute marketing campaigns. This course may be useful for Marketing Managers who want to learn how to use data to make better decisions about their campaigns. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will help you build a foundation in data science, which can be beneficial for Marketing Managers who want to make data-driven decisions.

See salaries and explore the career path for Marketing Manager

Sales Manager

Sales Managers lead and manage sales teams. This course may be useful for Sales Managers who want to learn how to use data to make better decisions about their sales strategies. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will help you build a foundation in data science, which can be beneficial for Sales Managers who want to make data-driven decisions.

See salaries and explore the career path for Sales Manager

Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn how to use data to solve problems and make predictions. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will help you build a foundation in data science, which can be beneficial for Software Engineers who want to work on data-driven projects.

See salaries and explore the career path for Software Engineer

Computer Scientist

Computer Scientists research and develop new computing technologies. This course may be useful for Computer Scientists who want to learn how to use data to solve problems and make predictions. You will learn how to collect, clean, and analyze data, and how to use statistical and machine learning techniques to build models that can predict future outcomes. This course will help you build a foundation in data science, which can be beneficial for Computer Scientists who want to work on data-driven projects.

See salaries and explore the career path for Computer Scientist

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 Problem Solving with Advanced Analytics.

Python for Data Analysis

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Problem Solving with Advanced Analytics

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Practical analytics for business problem solving

Activities

Career center

Reading list

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