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Wilvie Anora
To help technology professionals advance their career in data science and analytics, this course explores conceptual models, how to build, verify, run, and evaluate them before they can be calibrated with the available data in the organization.
Read more
To help technology professionals advance their career in data science and analytics, this course explores conceptual models, how to build, verify, run, and evaluate them before they can be calibrated with the available data in the organization.
Read more
To help technology professionals advance their career in data science and analytics, this course explores conceptual models, how to build, verify, run, and evaluate them before they can be calibrated with the available data in the organization.
With the growing need for data analytics in a variety of organizations due to the benefits that they provide, so is the growing competition of technology professionals to vie for senior positions and career advancement in this area. In this course, Certified Analytics Professional: Model Building, you'll gain the ability to evaluate conceptual models for model building. First, you'll learn about conceptual models. Next, you'll discover how to build and verify those conceptual models. After that, you'll explore how to run and evaluate those models. Finally, you'll learn how to calibrate those models against available data. When you’re finished with this course, you’ll have the skills and knowledge of model building needed to help you earn your Certified Analytics Professional certification.
Register for this course and see more details by visiting:
OpenCourser.com/course/fxvgpk/certified
What's inside
Syllabus
Course Overview
Data Modeling and Conceptual Model Overview
Building and Verifying Conceptual Models
Running and Evaluating Models
Read more
Syllabus
Course Overview
Data Modeling and Conceptual Model Overview
Building and Verifying Conceptual Models
Running and Evaluating Models
Read more
Calibrating Models and Data
Integrating Models
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops conceptual and model building knowledge and skills, which are highly relevant in industry
Provides a strong foundation for beginners in model building
Offers a mix of media, including discussions and readings, to engage learners
Taught by Wilvie Anora, who has built a reputation for their work in this field
Requires students to take previous courses first
Save this course
Save Certified Analytics Professional: Model Building to your list so you can find it easily later:
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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 Certified Analytics Professional: Model Building with these
activities:
Data Science Resources
Show steps
Compiling a list of useful resources will help you stay organized and access information efficiently.
Browse courses on
Data Science
Show steps
-
Create a document or spreadsheet to organize your resources.
-
Include links to articles, tutorials, datasets, and other materials.
-
Review your compilation regularly and update it as needed.
Review Linear Algebra and Calculus
Show steps
Refreshing your knowledge of linear algebra and calculus will strengthen your foundation for understanding data science concepts.
Browse courses on
Linear Algebra
Show steps
-
Review your notes from linear algebra and calculus courses.
-
Complete practice problems and exercises.
-
Take a refresher course or workshop on linear algebra and calculus.
Introduction to Data Science
Show steps
Reviewing this book will help you lay the foundational understanding needed to excel in this course.
View
Melania
on Amazon
Show steps
-
Read the introduction and chapter 1.
-
Read the chapters on data types, data preprocessing, and data visualization.
-
Complete the exercises at the end of each chapter.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Science Study Group
Show steps
Engaging in discussions with peers will help you clarify your understanding of the material and learn from others' perspectives.
Browse courses on
Data Science
Show steps
-
Join a study group or form your own with classmates.
-
Meet regularly to discuss course material, work on projects, and share resources.
-
Participate actively in discussions and ask questions.
Create a Linear Regression Model in Python
Show steps
This tutorial will provide you with hands-on experience in building a linear regression model, which is a commonly used technique in data science.
Browse courses on
Linear Regression
Show steps
-
Follow the tutorial on creating a linear regression model in Python.
-
Implement the model using a real-world dataset.
-
Evaluate the performance of your model.
Data Cleaning and Preparation Exercises
Show steps
Completing these exercises will improve your ability to clean and prepare data, which is a critical skill in data science.
Browse courses on
Data Cleaning
Show steps
-
Complete the exercises on data cleaning and preparation.
-
Practice cleaning and preparing data from different sources.
-
Evaluate the quality of your cleaned data.
Kaggle Competition: Titanic Survival Prediction
Show steps
Participating in this competition will allow you to apply your skills in a real-world setting and benchmark your progress against other data scientists.
Browse courses on
Kaggle
Show steps
-
Join the Kaggle competition: Titanic Survival Prediction.
-
Build a model to predict the survival of passengers on the Titanic.
-
Submit your predictions and track your progress on the leaderboard.
Data Science Workshop: Hands-on Model Building
Show steps
Attending this workshop will provide you with an immersive learning experience and the opportunity to learn from industry experts.
Browse courses on
Data Science
Show steps
-
Register for the workshop: Data Science Workshop: Hands-on Model Building.
-
Attend the workshop and participate actively.
-
Apply the techniques learned in the workshop to your own projects.
Data Science Resources
Show steps
Compiling a list of useful resources will help you stay organized and access information efficiently.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Create a document or spreadsheet to organize your resources.
- Include links to articles, tutorials, datasets, and other materials.
- Review your compilation regularly and update it as needed.
Review Linear Algebra and Calculus
Show steps
Refreshing your knowledge of linear algebra and calculus will strengthen your foundation for understanding data science concepts.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Review your notes from linear algebra and calculus courses.
- Complete practice problems and exercises.
- Take a refresher course or workshop on linear algebra and calculus.
Introduction to Data Science
Show steps
Reviewing this book will help you lay the foundational understanding needed to excel in this course.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and chapter 1.
- Read the chapters on data types, data preprocessing, and data visualization.
- Complete the exercises at the end of each chapter.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Science Study Group
Show steps
Engaging in discussions with peers will help you clarify your understanding of the material and learn from others' perspectives.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Join a study group or form your own with classmates.
- Meet regularly to discuss course material, work on projects, and share resources.
- Participate actively in discussions and ask questions.
Create a Linear Regression Model in Python
Show steps
This tutorial will provide you with hands-on experience in building a linear regression model, which is a commonly used technique in data science.
Browse courses on
Linear Regression
Show steps
Show steps
Show steps
- Follow the tutorial on creating a linear regression model in Python.
- Implement the model using a real-world dataset.
- Evaluate the performance of your model.
Data Cleaning and Preparation Exercises
Show steps
Completing these exercises will improve your ability to clean and prepare data, which is a critical skill in data science.
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Complete the exercises on data cleaning and preparation.
- Practice cleaning and preparing data from different sources.
- Evaluate the quality of your cleaned data.
Kaggle Competition: Titanic Survival Prediction
Show steps
Participating in this competition will allow you to apply your skills in a real-world setting and benchmark your progress against other data scientists.
Browse courses on
Kaggle
Show steps
Show steps
Show steps
- Join the Kaggle competition: Titanic Survival Prediction.
- Build a model to predict the survival of passengers on the Titanic.
- Submit your predictions and track your progress on the leaderboard.
Data Science Workshop: Hands-on Model Building
Show steps
Attending this workshop will provide you with an immersive learning experience and the opportunity to learn from industry experts.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Register for the workshop: Data Science Workshop: Hands-on Model Building.
- Attend the workshop and participate actively.
- Apply the techniques learned in the workshop to your own projects.
Career center
Learners who complete Certified Analytics Professional: Model Building will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists combine advanced analytical skills with a deep understanding of domain knowledge. This course, Certified Analytics Professional: Model Building, provides a comprehensive overview of model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will gain the skills and knowledge necessary to excel as a Data Scientist and leverage data to solve complex problems.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, building, deploying, and maintaining machine learning models. This course, Certified Analytics Professional: Model Building, provides a strong foundation in conceptual modeling, model building, and evaluation, which are essential skills for Machine Learning Engineers. By completing this course, you will be well-equipped to pursue a career as a Machine Learning Engineer and contribute to the development of cutting-edge machine learning applications.
Analytics Manager
Analytics Manager
Analytics Managers are responsible for leading teams of analysts and data scientists to uncover insights from data and drive business decisions. This course, Certified Analytics Professional: Model Building, provides a comprehensive overview of model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will gain the skills and knowledge necessary to excel as an Analytics Manager and effectively manage data science teams.
Big Data Architect
Big Data Architect
Big Data Architects are responsible for designing and building big data systems that can handle large volumes of data. This course, Certified Analytics Professional: Model Building, provides a strong foundation in data modeling and conceptual model overview, which are essential skills for Big Data Architects. By completing this course, you will be well-equipped to pursue a career as a Big Data Architect and design scalable and efficient big data systems.
Market Research Analyst
Market Research Analyst
Market Research Analysts are responsible for collecting, analyzing, and interpreting data to understand market trends and consumer behavior. This course, Certified Analytics Professional: Model Building, provides a comprehensive overview of model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will gain the skills and knowledge necessary to excel as a Market Research Analyst and effectively use data to drive marketing strategies.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts are responsible for using data to understand business trends and make better decisions. This course, Certified Analytics Professional: Model Building, provides a comprehensive overview of model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will gain the skills and knowledge necessary to excel as a Business Intelligence Analyst and effectively use data to drive business growth.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to uncover insights and trends. This course, Certified Analytics Professional: Model Building, provides a comprehensive overview of model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will gain the skills and knowledge necessary to excel as a Data Analyst and effectively analyze data to drive business decisions.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, interpreting, and presenting data. This course, Certified Analytics Professional: Model Building, provides a comprehensive overview of model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will gain the skills and knowledge necessary to excel as a Statistician and effectively use statistical methods to analyze data and draw meaningful conclusions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts are responsible for using mathematical and analytical techniques to solve complex business problems. This course, Certified Analytics Professional: Model Building, provides a strong foundation in model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will be well-equipped to pursue a career as an Operations Research Analyst and effectively use analytical methods to optimize business processes.
Actuary
Actuary
Actuaries are responsible for assessing and managing financial risks. This course, Certified Analytics Professional: Model Building, provides a strong foundation in model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will be well-equipped to pursue a career as an Actuary and effectively use analytical methods to assess and manage financial risks.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data to make investment recommendations and advise clients on financial matters. This course, Certified Analytics Professional: Model Building, provides a strong foundation in model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will be well-equipped to pursue a career as a Financial Analyst and effectively use analytical methods to evaluate financial data and make sound investment decisions.
Risk Manager
Risk Manager
Risk Managers are responsible for identifying, assessing, and managing risks to an organization. This course, Certified Analytics Professional: Model Building, provides a comprehensive overview of model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will gain the skills and knowledge necessary to excel as a Risk Manager and effectively use analytical methods to identify, assess, and manage risks.
Fraud Analyst
Fraud Analyst
Fraud Analysts are responsible for investigating and preventing fraud. This course, Certified Analytics Professional: Model Building, provides a comprehensive overview of model building, including conceptual modeling, building, verification, running, evaluation, and calibration. By completing this course, you will gain the skills and knowledge necessary to excel as a Fraud Analyst and effectively use analytical methods to detect and prevent fraud.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines that collect, process, and store data. This course, Certified Analytics Professional: Model Building, provides a strong foundation in data modeling and conceptual model overview, which are essential skills for Data Engineers. By completing this course, you will be well-equipped to pursue a career as a Data Engineer and design scalable and efficient data pipelines.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, building, and maintaining software applications. This course, Certified Analytics Professional: Model Building, may be useful for Software Engineers who want to gain a better understanding of data modeling and model building techniques. By completing this course, you will gain skills in conceptual modeling, building, verification, running, evaluation, and calibration, which can be applied to the development of data-driven software applications.
For more career information including salaries, visit:
OpenCourser.com/course/fxvgpk/certified
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
Certified Analytics Professional: Model Building.
This classic textbook provides a thorough foundation in statistical learning concepts, including model building and evaluation.
Save
Offers a comprehensive introduction to deep learning concepts, including model architectures, training, and evaluation.
Save
Offers a practical guide to predictive modeling techniques, including model selection, evaluation, and deployment.
Provides a comprehensive overview of data modeling concepts and techniques, preparing learners to understand and apply modeling principles discussed in the course.
Save
Offers a comprehensive introduction to computer vision concepts, including image processing, feature detection, and object recognition.
Offers a comprehensive introduction to speech and language processing concepts, including natural language understanding, speech recognition, and speech synthesis.
Provides a broad overview of data science fundamentals, including model building, evaluation, and deployment.
Provides a hands-on approach to machine learning using popular Python libraries, complementing the theoretical concepts covered in the course.
Provides a comprehensive introduction to reinforcement learning concepts, including model-based and model-free approaches.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fxvgpk/certified
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Time
117 hours
Level
Introductory
Via
Pluralsight
Instructor
Wilvie Anora
Language
English
Good to know
Develops conceptual and model building knowledge and skills, which are highly relevant in industry
Provides a strong foundation for beginners in model building
Offers a mix of media, including discussions and readings, to engage learners
Taught by Wilvie Anora, who has built a reputation for their work in this field
Requires students to take previous courses first
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