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Patrick Nussbaumer,
Maureen Wolfson,
Mat Leonard,
Ben Burkholder,
Tony Moses,
and
Rod Light
Business analysts equipped with the latest predictive analytics techniques bring tremendous value to an organization, enabling companies to take action with confidence. Through this program, you'll master the most important predictive skills and tools, and you won't need to know programming to do it!
Your enrollment includes educational licenses to two powerful analytics and data visualization tools, Alteryx Designer and Tableau Desktop. These software licenses are worth over $2500!
Read more
Business analysts equipped with the latest predictive analytics techniques bring tremendous value to an organization, enabling companies to take action with confidence. Through this program, you'll master the most important predictive skills and tools, and you won't need to know programming to do it!
Your enrollment includes educational licenses to two powerful analytics and data visualization tools, Alteryx Designer and Tableau Desktop. These software licenses are worth over $2500!
Read more
Business analysts equipped with the latest predictive analytics techniques bring tremendous value to an organization, enabling companies to take action with confidence. Through this program, you'll master the most important predictive skills and tools, and you won't need to know programming to do it!
Your enrollment includes educational licenses to two powerful analytics and data visualization tools, Alteryx Designer and Tableau Desktop. These software licenses are worth over $2500!
As more and more companies incorporate predictive analytics into their data strategies, demand for business analysts with these skills is growing rapidly, and salaries are rising.
Register for this course and see more details by visiting:
OpenCourser.com/course/odisy3/udacity
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Develops proficiency in Alteryx and Tableau, industry-standard software for data preparation and visualization
Taught by experienced instructors from Udacity, a recognized leader in online education
Provides a strong foundation for a career in business analysis, a field with growing demand and salaries
Offers hands-on experience through educational licenses to Alteryx Designer and Tableau Desktop, software worth over $2500
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Reviews summary
Practical predictive analytics with alteryx & tableau
According to learners, this course is an excellent pathway to mastering predictive analytics, particularly for those who need to apply these skills in a business context without requiring programming knowledge. Students frequently highlight the hands-on experience with Alteryx Designer as a major strength, finding the labs and projects highly practical and directly applicable to their jobs. While the course provides a solid introduction to data visualization using Tableau Desktop, some advanced users found the depth of statistical concepts and Tableau coverage to be somewhat basic. Overall, it's considered largely positive for beginners and business professionals seeking concrete tools and real-world application.
Covers Tableau basics sufficiently, but some desire more advanced topics.
"Tableau was covered sufficiently for basic visualization, but those looking for advanced dashboards might need supplementary material."
"I felt Tableau could have been covered in more depth for complex visualizations."
"The Tableau section was too basic for my needs, and I wish there were more advanced examples."
"Tableau was covered adequately for basic dashboards. Good for career enhancement."
Exceptional training in Alteryx Designer, highly practical and well-integrated.
"A strong foundation in predictive analytics... Alteryx is incredibly well-taught here."
"The way Alteryx is integrated into the learning process is seamless. I particularly appreciated the case studies..."
"The hands-on experience with Alteryx is invaluable. The content is well-structured, making complex concepts accessible."
"Overall, a very good course, especially if you're new to predictive modeling. The step-by-step guidance on Alteryx is excellent."
Ideal for business users, focusing on practical application without coding.
"Absolutely brilliant course for business professionals! The focus on Alteryx and Tableau without coding was exactly what I needed."
"As a business professional, I found this program incredibly practical. The hands-on exercises using Alteryx were superb..."
"I was looking for a way to leverage data in my marketing role without getting bogged down in Python or R, and this delivered perfectly."
"As someone without a strong technical background, this course was a godsend. It breaks down complex topics and shows you how to implement them with easy-to-use software."
Mixed experiences with support and depth of statistical explanations.
"The explanations for statistical concepts were often vague, requiring me to consult external resources frequently."
"Customer support for technical issues was slow and unhelpful when I encountered issues with the platform."
"I found the quizzes sometimes didn't fully test my understanding of the material. More challenging assignments would be beneficial."
"The instructor's explanations were often unclear, and I struggled to grasp some core concepts without external help."
Excellent for new learners, but may lack depth for those with prior experience.
"It's a good introductory course for complete beginners to data science. However, if you already have some statistical background or used other tools, you might find it too basic."
"Decent course, but it's truly for beginners. If you're looking for deep dives into machine learning algorithms or complex data transformations, this isn't it."
"The course content was a bit too superficial for me... I expected more depth from a 'predictive analytics' course. It's mostly about using Alteryx for basic tasks."
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 Predictive Analytics for Business with these
activities:
Review Statistics
Show steps
Recall and work through basic principles of statistics to prepare you for the course.
Browse courses on
Predictive Analytics
Show steps
-
Review introductory statistics concepts
-
Practice solving probability, distribution, and inference problems
Read 'Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die' by Eric Siegel
Show steps
This book provides a comprehensive overview of predictive analytics, covering the latest techniques and case studies.
View
The AI Playbook: Mastering the Rare Art of...
on Amazon
Show steps
-
Purchase the book
-
Read the book thoroughly
-
Take notes and highlight important concepts
Excel Crash Course
Show steps
Predictive analytics heavily relies on data analysis and visualization, and Excel is one of the most common tools used for these tasks. By going through this course, you will be more well-equipped to use Excel in the context of data analysis.
Show steps
-
Sign up for a crash course or online tutorial
-
Follow the tutorials diligently
-
Practice using the learned techniques in Excel
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review high school algebra
Show steps
Reviewing high school algebra can help you tremendously by increasing your comfort with the necessary math concepts.
Browse courses on
Algebra
Show steps
-
Review notes, homework, and textbook sections
-
Practice algebra problems
-
Take online quizzes or practice tests
Solve data analysis problems on a platform like LeetCode
Show steps
Solving data analysis problems can help you develop your analytical skills and deepen your understanding of the concepts covered in the course.
Show steps
-
Create an account on a coding platform like LeetCode
-
Select data analysis problems
-
Solve the problems and review the solutions
Collection of data analysis resources
Show steps
In this course, you will use a variety of data analysis tools. Having a collection of useful resources for these tools can help you stay organized and ensure that you can always find the information you need.
Show steps
-
Identify reputable sources for data analysis tools
-
Gather relevant documentation, tutorials, and examples
-
Organize the resources logically
Join a study group
Show steps
Peer-to-peer interaction is an excellent form of learning. Study groups are a great way to test your understanding, exchange knowledge, and stay motivated.
Show steps
-
Find a study partner or group
-
Establish a regular study schedule
-
Meet regularly and discuss course concepts
Build a data visualization portfolio
Show steps
This course places a heavy emphasis on data visualization. Building a portfolio of your work will allow you to showcase your skills and demonstrate your understanding of the concepts covered in the course.
Show steps
-
Choose a variety of datasets
-
Create different types of data visualizations
-
Share your portfolio with others
Develop a predictive model for a business problem
Show steps
Applying the concepts covered in the course to a real-world business problem will enhance your understanding and solidify the skills you have acquired.
Show steps
-
Identify a business problem
-
Gather and analyze data
-
Build a predictive model
-
Evaluate the model and make recommendations
Review Statistics
Show steps
Recall and work through basic principles of statistics to prepare you for the course.
Browse courses on
Predictive Analytics
Show steps
Show steps
Show steps
- Review introductory statistics concepts
- Practice solving probability, distribution, and inference problems
Read 'Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die' by Eric Siegel
Show steps
This book provides a comprehensive overview of predictive analytics, covering the latest techniques and case studies.
View
The AI Playbook: Mastering the Rare Art of...
on Amazon
Show steps
Show steps
Show steps
- Purchase the book
- Read the book thoroughly
- Take notes and highlight important concepts
Excel Crash Course
Show steps
Predictive analytics heavily relies on data analysis and visualization, and Excel is one of the most common tools used for these tasks. By going through this course, you will be more well-equipped to use Excel in the context of data analysis.
Show steps
Show steps
Show steps
- Sign up for a crash course or online tutorial
- Follow the tutorials diligently
- Practice using the learned techniques in Excel
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review high school algebra
Show steps
Reviewing high school algebra can help you tremendously by increasing your comfort with the necessary math concepts.
Browse courses on
Algebra
Show steps
Show steps
Show steps
- Review notes, homework, and textbook sections
- Practice algebra problems
- Take online quizzes or practice tests
Solve data analysis problems on a platform like LeetCode
Show steps
Solving data analysis problems can help you develop your analytical skills and deepen your understanding of the concepts covered in the course.
Show steps
Show steps
Show steps
- Create an account on a coding platform like LeetCode
- Select data analysis problems
- Solve the problems and review the solutions
Collection of data analysis resources
Show steps
In this course, you will use a variety of data analysis tools. Having a collection of useful resources for these tools can help you stay organized and ensure that you can always find the information you need.
Show steps
Show steps
Show steps
- Identify reputable sources for data analysis tools
- Gather relevant documentation, tutorials, and examples
- Organize the resources logically
Join a study group
Show steps
Peer-to-peer interaction is an excellent form of learning. Study groups are a great way to test your understanding, exchange knowledge, and stay motivated.
Show steps
Show steps
Show steps
- Find a study partner or group
- Establish a regular study schedule
- Meet regularly and discuss course concepts
Build a data visualization portfolio
Show steps
This course places a heavy emphasis on data visualization. Building a portfolio of your work will allow you to showcase your skills and demonstrate your understanding of the concepts covered in the course.
Show steps
Show steps
Show steps
- Choose a variety of datasets
- Create different types of data visualizations
- Share your portfolio with others
Develop a predictive model for a business problem
Show steps
Applying the concepts covered in the course to a real-world business problem will enhance your understanding and solidify the skills you have acquired.
Show steps
Show steps
Show steps
- Identify a business problem
- Gather and analyze data
- Build a predictive model
- Evaluate the model and make recommendations
Career center
Learners who complete Predictive Analytics for Business will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to build models and solve problems. Predictive analytics is a fundamental part of data science. This course will provide you with the skills you need to become a successful Data Scientist.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing an organization's data to identify opportunities for improvement. Predictive analytics can help you understand trends and make predictions about the future. This course will provide you with the skills you need to become a successful Business Analyst.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make better decisions. Predictive analytics is a valuable tool for Data Analysts, as it allows them to identify patterns and trends in data. This course will provide you with the skills you need to become a successful Data Analyst.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. Predictive analytics is a key part of machine learning. This course will provide you with the skills you need to become a successful Machine Learning Engineer.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. Predictive analytics is a valuable tool for Statisticians, as it allows them to identify patterns and trends in data. This course will provide you with the skills you need to become a successful Statistician.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks to an organization. Predictive analytics can help Risk Analysts understand the likelihood and impact of potential risks. This course will provide you with the skills you need to become a successful Risk Analyst.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematics and statistics to solve problems in finance. Predictive analytics is a valuable tool for Quantitative Analysts. This course will provide you with the skills you need to become a successful Quantitative Analyst.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines. Predictive analytics requires large amounts of data. This course will provide you with the skills you need to become a successful Data Engineer.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in business and industry. Predictive analytics can help Operations Research Analysts make better decisions about how to allocate resources and improve efficiency. This course will provide you with the skills you need to become a successful Operations Research Analyst.
Market Researcher
Market Researcher
Market Researchers study market conditions to understand product demand. Predictive analytics has become an essential tool for gathering and processing large amounts of raw data. This course will help you build a foundation in predictive analytics, which will make you a more effective Market Researcher.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment recommendations and provide financial advice. Predictive analytics can help Financial Analysts identify trends and make predictions about the future. This course will provide you with the skills you need to become a successful Financial Analyst.
Actuary
Actuary
Actuaries use mathematics and statistics to assess risk and uncertainty. Predictive analytics can help Actuaries develop models to predict future events. This course will provide you with the skills you need to become a successful Actuary.
Economist
Economist
Economists study the production, distribution, and consumption of goods and services. Predictive analytics can help Economists understand economic trends and make predictions about the future. This course will provide you with the skills you need to become a successful Economist.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. Predictive analytics can help Marketing Managers understand their target audience and develop more effective campaigns. This course will provide you with the skills you need to become a successful Marketing Manager.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. Predictive analytics is becoming increasingly important in software development. This course will provide you with the skills you need to become a successful Software Engineer.
For more career information including salaries, visit:
OpenCourser.com/course/odisy3/udacity
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
Predictive Analytics for Business.
Save
Provides a comprehensive overview of predictive analytics, covering key concepts, techniques, and applications. It valuable resource for anyone looking to gain a deeper understanding of the field.
Provides a practical introduction to data science for business professionals. It covers key concepts, techniques, and case studies, and valuable resource for anyone looking to leverage data to improve business outcomes.
Provides a comprehensive overview of machine learning for business applications, with a focus on predicting customer behavior. It valuable resource for anyone looking to use machine learning to improve customer engagement and loyalty.
Provides a comprehensive overview of Python for data analysis. It covers key concepts, techniques, and case studies, and valuable resource for anyone looking to use Python to analyze data and make better business decisions.
Provides a comprehensive overview of Tableau for business intelligence. It covers key concepts, techniques, and case studies, and valuable resource for anyone looking to use Tableau to visualize data and make better business decisions.
Provides a comprehensive overview of data mining for business intelligence. It covers key concepts, techniques, and case studies, and valuable resource for anyone looking to use data mining to improve business outcomes.
Provides a comprehensive overview of big data for business. It covers key concepts, techniques, and case studies, and valuable resource for anyone looking to use big data to improve business outcomes.
Save
Provides a comprehensive overview of data visualization. It covers key concepts, techniques, and case studies, and valuable resource for anyone looking to use data visualization to communicate data insights effectively.
Provides a comprehensive overview of predictive analytics for beginners. It covers key concepts, techniques, and case studies, and valuable resource for anyone looking to get started with predictive analytics.
Provides a comprehensive overview of machine learning for beginners. It covers key concepts, techniques, and case studies, and valuable resource for anyone looking to get started with machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/odisy3/udacity
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