We may earn an affiliate commission when you visit our partners.
Merging Predictive and Prescriptive Analytics with Data Literacy
Troy Kranendonk
Troy Kranendonk
Merging Predictive and Prescriptive Analytics with Data Literacy explores the fusion of advanced analytics techniques with a solid foundation in data literacy.
Read more
Merging Predictive and Prescriptive Analytics with Data Literacy explores the fusion of advanced analytics techniques with a solid foundation in data literacy.
Read more
Merging Predictive and Prescriptive Analytics with Data Literacy explores the fusion of advanced analytics techniques with a solid foundation in data literacy.
Merging Predictive and Prescriptive Analytics with Data Literacy explores the fusion of advanced analytics techniques with a solid foundation in data literacy. This synergy enables individuals to not only decipher trends from historical data but also make informed predictions and recommend optimal actions for the future. The guide emphasizes the importance of understanding data sources, analysis methodologies, and the application of predictive and prescriptive insights. By mastering this integration, individuals can unlock powerful decision-making capabilities that drive innovation and efficiency across various domains.
Register for this course and see more details by visiting:
OpenCourser.com/course/ruvgw6/merging
What's inside
Syllabus
Introduction to Predictive Modeling
New Module
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for individuals with an interest in data literacy and analytics, making it relevant to business professionals, data scientists, and analysts
Taught by Troy Kranendonk, a respected expert in the field of data science and analytics, fostering credibility
Examines merging predictive and prescriptive analytics techniques, aligning with current industry trends
Includes a new module on predictive modeling, ensuring topicality
Save this course
Save Merging Predictive and Prescriptive Analytics with Data Literacy to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Merging Predictive and Prescriptive Analytics with Data Literacy.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Merging Predictive and Prescriptive Analytics with Data Literacy will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models and systems to solve complex problems. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to build and deploy machine learning models that can automate tasks, make predictions, and improve decision-making.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data to help organizations make informed decisions. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to design and conduct surveys, analyze data, and communicate results.
Data Analyst
Data Analyst
A Data Analyst gathers, analyzes, interprets, and presents data to help organizations make informed decisions. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to identify trends, make predictions, and recommend optimal actions for the future.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to solve complex problems and make informed decisions.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve complex problems in business and industry. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to model and analyze business processes, identify inefficiencies, and develop solutions to improve operations.
Data Architect
Data Architect
A Data Architect designs and builds data systems and infrastructure to meet the needs of an organization. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data modeling, data warehousing, and data integration. You will learn how to design and build data systems that can store, manage, and analyze data efficiently.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines to move data between different systems and applications. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data integration, data quality, and data management. You will learn how to design and build data pipelines that can move data efficiently and reliably, as well as how to monitor performance and troubleshoot problems.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to analyze financial data, identify trends, and make recommendations for investment strategies.
Big Data Engineer
Big Data Engineer
A Big Data Engineer designs, builds, and maintains big data systems to handle large volumes of data. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in big data technologies, such as Hadoop, Spark, and NoSQL databases. You will learn how to design and build big data systems that can store, manage, and analyze large volumes of data, as well as how to monitor performance and troubleshoot problems.
Market Researcher
Market Researcher
A Market Researcher conducts research to understand consumer behavior, market trends, and industry dynamics. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to gather and analyze data, identify trends, and make recommendations for marketing campaigns.
Risk Analyst
Risk Analyst
A Risk Analyst identifies, assesses, and manages risks to an organization. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to analyze risk data, identify potential threats, and develop strategies to mitigate risk.
Business Analyst
Business Analyst
A Business Analyst identifies and defines business needs and problems, and develops solutions to improve business processes. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to analyze business data, identify trends, and make recommendations for improvement.
Database Administrator
Database Administrator
A Database Administrator installs, configures, and maintains databases to ensure that they are reliable, efficient, and secure. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in database management systems, data security, and performance tuning. You will learn how to install, configure, and maintain databases, as well as how to monitor performance and troubleshoot problems.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make recommendations for investments and other financial decisions. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, predictive modeling, and prescriptive analytics. You will learn how to use these techniques to analyze financial data, identify trends, and make recommendations for investment strategies.
Data Governance Specialist
Data Governance Specialist
A Data Governance Specialist develops and implements policies and procedures to ensure the quality and integrity of data. This course can help you develop the skills needed to succeed in this role by providing you with a solid foundation in data literacy, data quality, and data management. You will learn how to develop and implement data governance policies, manage data assets, and protect data from security breaches.
For more career information including salaries, visit:
OpenCourser.com/course/ruvgw6/merging
Reading list
We've selected nine 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
Merging Predictive and Prescriptive Analytics with Data Literacy.
Save
Offers a comprehensive overview of deep learning, providing a deeper understanding of the underlying principles and techniques, enhancing the course's coverage of advanced analytics techniques.
Offers practical advice and best practices for designing and implementing data science projects, enhancing the course's focus on real-world applications of data analytics.
Save
Offers a critical perspective on data science, raising awareness of potential pitfalls and biases, complementing the course's focus on responsible and ethical data analytics.
Introduces the core concepts and algorithms of reinforcement learning, providing a foundation for understanding and applying prescriptive analytics techniques in complex decision-making scenarios.
Offers a hands-on approach to machine learning with popular libraries, providing practical experience to complement the theoretical concepts covered in the course.
Provides guidance on interpretable machine learning, complementing the course's focus on understanding and communicating the results of predictive and prescriptive analytics.
Provides a practical guide to using Python for data analysis, complementing the course's focus on data analytics techniques and their application.
Save
Introduces the core concepts and techniques of predictive modeling, providing a solid foundation for understanding and applying predictive analytics in various domains.
Save
Provides a clear and concise introduction to SQL, enhancing the course's coverage of data analysis techniques and data management.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ruvgw6/merging
Share
Similar courses
Here are nine courses similar to
Merging Predictive and Prescriptive Analytics with Data Literacy.
Merging Predictive and Prescriptive Analytics with Data Literacy: Executive Briefing
OpenCourser.com/course/8leo7a/merging
Merging Predictive and Prescriptive Analytics with Data...
Most relevant
Creating Forms in ServiceNow
OpenCourser.com/course/mnwlka/creating
Creating Forms in ServiceNow
Most relevant
Certified Analytics Professional: Methodology Selection
OpenCourser.com/course/564l4h/certified
Certified Analytics Professional: Methodology Selection
Most relevant
Introduction to Data Analytics
OpenCourser.com/course/7owxen/introduction
Introduction to Data Analytics
Most relevant
Implementing Supply Chain Analytics
OpenCourser.com/course/iti3w4/implementing
Implementing Supply Chain Analytics
Most relevant
Getting Started with Data Analytics on AWS
OpenCourser.com/course/awmxnm/getting
Getting Started with Data Analytics on AWS
Most relevant
Intro to Analytic Thinking, Data Science, and Data Mining
OpenCourser.com/course/sazeiw/intro
Intro to Analytic Thinking, Data Science, and Data Mining
Most relevant
ThoughtSpot for Business Analyst
OpenCourser.com/course/ra0d9u/thoughtspot
ThoughtSpot for Business Analyst
Most relevant
Predictive Modeling and Analytics
OpenCourser.com/course/ejcmbm/predictive
Predictive Modeling and Analytics
Time
25 hours
Level
Introductory
Via
Pluralsight
Instructor
Troy Kranendonk
Language
English
Good to know
Suitable for individuals with an interest in data literacy and analytics, making it relevant to business professionals, data scientists, and analysts
Taught by Troy Kranendonk, a respected expert in the field of data science and analytics, fostering credibility
Examines merging predictive and prescriptive analytics techniques, aligning with current industry trends
Includes a new module on predictive modeling, ensuring topicality
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser