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Certified Analytics Professional

Model Building

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.

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Model Building Conceptual Models Data Analytics Certified Analytics Professional

What's inside

Syllabus

Course Overview

Data Modeling and Conceptual Model Overview

Building and Verifying Conceptual Models

Running and Evaluating Models

Traffic lights

Read about what's good

what should give you pause

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

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Reviews summary

Practical model building for analytics professionals

According to students, this course provides a solid foundation in conceptual model building and evaluation, highly beneficial for those pursuing the Certified Analytics Professional (CAP) certification. Learners frequently praise the course for its clear explanations of complex topics and practical insights into real-world applications. While many appreciate the structured approach and instructor's expertise, some newer reviews suggest there's a desire for more hands-on exercises and updates to cover latest industry tools. Overall, it's considered a valuable stepping stone for analytics career advancement, though some suggest prior knowledge is helpful.

Solid principles, but some desire modern tool updates.

"The core principles are timeless, but an update with current industry tools would make it even better."

"A few newer reviews mentioned a desire for more contemporary examples and cutting-edge techniques."

"It provides foundational knowledge, though some practical applications could reflect newer technologies."

Most beneficial for those with prior analytical background.

"Come prepared with a basic understanding of statistics and data concepts, it moves quite fast."

"This course is definitely for intermediate learners; beginners might struggle without foundational knowledge."

"I had a solid background in data, which made the concepts much easier to grasp quickly."

Complex concepts are explained clearly and methodically.

"The instructor has a knack for breaking down complex analytical models into understandable segments."

"I really appreciated how the course demystified conceptual models and made them seem practical."

"It provided a clear and concise overview of model building principles, easy to follow."

Excellent preparation for Certified Analytics Professional exam.

"This course truly aligns with the CAP certification blueprint; I feel much more confident after completing it."

"It perfectly covers the model building domain of the CAP exam. Highly recommended for certification aspirants."

"I found this very helpful as a preparatory step for my Certified Analytics Professional exam."

Emphasizes theory over direct software application.

"While the theory is strong, I wished for more practical, hands-on coding exercises to solidify understanding."

"It's a great conceptual overview, but don't expect deep dives into specific software implementations."

"I was hoping for more practical examples and case studies rather than just theoretical discussions."

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

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Compiling a list of useful resources will help you stay organized and access information efficiently.

Browse courses on Data Science

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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

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Refreshing your knowledge of linear algebra and calculus will strengthen your foundation for understanding data science concepts.

Browse courses on Linear Algebra

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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

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Reviewing this book will help you lay the foundational understanding needed to excel in this course.

View Melania on Amazon

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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.

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Data Science Study Group

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Engaging in discussions with peers will help you clarify your understanding of the material and learn from others' perspectives.

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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

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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

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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

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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

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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

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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

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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

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Attending this workshop will provide you with an immersive learning experience and the opportunity to learn from industry experts.

Browse courses on Data Science

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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 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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Big Data Architect

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.

See salaries and explore the career path for Analytics Manager

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.

See salaries and explore the career path for Operations Research Analyst

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Market Research 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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Business Intelligence 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.

See salaries and explore the career path for Fraud Analyst

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.

See salaries and explore the career path for Risk Manager

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Actuary

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.

See salaries and explore the career path for Data 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.

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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.

The Elements of Statistical Learning

Save

This classic textbook provides a thorough foundation in statistical learning concepts, including model building and evaluation.

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Kindle Edition

$$$

Deep Learning

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Offers a comprehensive introduction to deep learning concepts, including model architectures, training, and evaluation.

Deep Learning

Paperback

$$$

Deep Learning (Adaptive Computation and Machine...

Hardcover

$$$

Deep Learning (Adaptive Computation and Machine...

Kindle Edition

$$$

Tidy Modeling with R

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Offers a practical guide to predictive modeling techniques, including model selection, evaluation, and deployment.

Star Schema The Complete Reference

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Provides a comprehensive overview of data modeling concepts and techniques, preparing learners to understand and apply modeling principles discussed in the course.

Star Schema The Complete Reference

Paperback

Check price

Star Schema The Complete Reference

Kindle Edition

Check price

Computer Vision

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Offers a comprehensive introduction to computer vision concepts, including image processing, feature detection, and object recognition.

Speech and Language Processing. An Introduction to...

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Offers a comprehensive introduction to speech and language processing concepts, including natural language understanding, speech recognition, and speech synthesis.

Speech and Language Processing An Introduction to...

Paperback