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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.

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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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What's inside

Syllabus

Course Overview
Data Modeling and Conceptual Model Overview
Building and Verifying Conceptual Models
Running and Evaluating Models
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Calibrating Models and Data
Integrating Models

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

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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
Compiling a list of useful resources will help you stay organized and access information efficiently.
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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
Refreshing your knowledge of linear algebra and calculus will strengthen your foundation for understanding data science concepts.
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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
Reviewing this book will help you lay the foundational understanding needed to excel in this course.
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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
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
This tutorial will provide you with hands-on experience in building a linear regression model, which is a commonly used technique in data science.
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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
Completing these exercises will improve your ability to clean and prepare data, which is a critical skill in data science.
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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
Participating in this competition will allow you to apply your skills in a real-world setting and benchmark your progress against other data scientists.
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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
Attending this workshop will provide you with an immersive learning experience and the opportunity to learn from industry experts.
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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.
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 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 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 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 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 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
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 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
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 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 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 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 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 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.

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.
Offers a comprehensive introduction to deep learning concepts, including model architectures, training, and evaluation.
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.
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 comprehensive introduction to reinforcement learning concepts, including model-based and model-free approaches.

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