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Certified Analytics Professional

Methodology Selection

This course covers problem-solving approaches in data analysis, including descriptive, predictive, and prescriptive analysis. It also covers software tools selection, testing approaches, and approach selection, with tips and best practices.

Knowing how to analyze data and make informed decisions is crucial in many fields today. Whether in business, healthcare, social science, or any other field, the ability to collect and analyze data is a vital skill for success.

In this course, Certified Analytics Professional: Methodology Selection, you’ll gain the ability to analyze data and make informed decisions.

First, you’ll explore the techniques and types of descriptive analysis, including data visualization and the advantages of descriptive analysis.

Next, you’ll discover the types and advantages of predictive analysis.

Finally, you’ll learn how to choose appropriate types of prescriptive analysis, as well as how to select the best software tools and testing, and approach selections for data analysis.

When you’re finished with this course, you’ll have the skills and knowledge of methodology selection needed to analyze data and make informed decisions in your field.

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What's inside

Syllabus

Course Overview

Problem-solving Approaches

Descriptive Analysis

Predictive Analysis

Prescriptive Analysis

Tips and Best Practices

Software Tools Selection

Testing Approaches

Conclusion

Approach Selection

Course Introduction - Original

Problem-solving Approaches - Original

Best Practices and Tips

Descriptive Analysis - Original

Introduction to Predictive Analytics - Original

Prescriptive Analysis - Original

Tips and Best Practices - Original

Conclusion - Original

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops decision-making abilities learners can use in various professional settings

Teaches analysis techniques used by professionals in the fields of business, healthcare, and social science

Presents strategies for collecting and analyzing data, a core skill in many fields

Includes tips and best practices to enhance learners' understanding of data analysis

Taught by Dr. Ali Feizollah, an experienced professional in data analysis

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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: Methodology Selection with these activities:

Gather learning materials

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Gather all necessary learning materials, including syllabus, course notes, and any additional resources.

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Review syllabus and course outline
Organize notes and materials

Read 'Data Analysis Using Regression and Multilevel/Hierarchical Models'

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Enhance understanding of statistical principles and regression analysis techniques by reading this foundational text.

View Regression and Other Stories (Analytical... on Amazon

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Read chapters 1-5
Summarize key concepts
Complete end-of-chapter exercises

Complete online tutorials

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Supplement course content by completing online tutorials on relevant topics, such as software tools selection or data analysis techniques.

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Identify relevant online tutorials
Complete tutorials at a steady pace
Take notes or summarize key concepts

Four other activities

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Participate in online discussion forums

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Engage with peers and course instructors by actively participating in online discussion forums to clarify concepts and share insights.

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Post thoughtful questions and comments
Respond to peer posts
Summarize key takeaways

Create a data analysis portfolio

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Demonstrate practical application of data analysis skills by creating a portfolio of projects showcasing different techniques and approaches.

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Identify data sources
Develop analysis plan
Execute analysis and visualize results
Write project report

Build a data visualization dashboard

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Apply data visualization principles to create an interactive dashboard that effectively communicates insights from data analysis.

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Gather data and identify key metrics
Design and prototype dashboard layout
Develop dashboard using appropriate software

Volunteer as a tutor

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Enhance understanding of course concepts by volunteering to tutor fellow students or participants in related online communities.

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Connect with learners seeking support
Identify areas where you can provide guidance
Prepare and organize tutoring sessions

Career center

Learners who complete Certified Analytics Professional: Methodology Selection will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of data analysis to build models that can predict future events. This course is a great way to learn the techniques used by Data Scientists, as it covers topics such as predictive analysis and model selection. The course also provides tips and best practices for testing and validating models, which is essential for Data Scientists.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use their knowledge of data analysis to solve business problems, develop insights, and make recommendations. This course is an excellent way to develop the skills needed for this profession as it covers all of the key topics, including descriptive, predictive, and prescriptive analysis. The course also provides tips and best practices for selecting software tools and testing approaches, which are both essential for Data Analysts.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use their knowledge of data analysis to help businesses make better decisions. This course is a great way to learn the skills needed for this profession, as it covers all of the key topics, including data visualization, predictive analysis, and prescriptive analysis. The course also provides tips and best practices for selecting software tools and testing approaches, which are both essential for Business Analysts.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use their knowledge of data analysis to value companies and make investment recommendations. This course is a great way to learn the skills needed for this profession, as it covers all of the key topics, including descriptive, predictive, and prescriptive analysis. The course also provides tips and best practices for selecting software tools and testing approaches, which are both essential for Financial Analysts.

See salaries and explore the career path for Financial Analyst

Statistician

Statisticians use their knowledge of data analysis to collect, analyze, and interpret data. This course is a great way to learn the skills needed for this profession, as it covers all of the key topics, including descriptive, predictive, and prescriptive analysis. The course also provides tips and best practices for selecting software tools and testing approaches, which are both essential for Statisticians.

See salaries and explore the career path for Statistician

Risk Analyst

Risk Analysts use their knowledge of data analysis to identify and mitigate risks. This course is a great way to learn the skills needed for this profession, as it covers all of the key topics, including descriptive, predictive, and prescriptive analysis. The course also provides tips and best practices for selecting software tools and testing approaches, which are both essential for Risk Analysts.

See salaries and explore the career path for Risk Analyst

Quantitative Analyst

Quantitative Analysts use their knowledge of data analysis to develop trading strategies and make investment recommendations. This course is a great way to learn the skills needed for this profession, as it covers all of the key topics, including descriptive, predictive, and prescriptive analysis. The course also provides tips and best practices for selecting software tools and testing approaches, which are both essential for Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Market Researcher

Market Researchers use their knowledge of data analysis to understand consumer behavior and trends. This course is a great way to learn the skills needed for this profession, as it covers all of the key topics, including data visualization, predictive analysis, and prescriptive analysis. The course also provides tips and best practices for selecting software tools and testing approaches, which are both essential for Market Researchers.

See salaries and explore the career path for Market Researcher

Operations Research Analyst

Operations Research Analysts use their knowledge of data analysis to improve the efficiency of business operations. This course is a great way to learn the skills needed for this profession, as it covers all of the key topics, including descriptive, predictive, and prescriptive analysis. The course also provides tips and best practices for selecting software tools and testing approaches, which are both essential for Operations Research Analysts.

See salaries and explore the career path for Operations Research Analyst

Machine Learning Engineer

Machine Learning Engineers use their knowledge of data analysis to build and deploy machine learning models. This course may be helpful for those interested in this profession, as it covers some of the key topics, such as predictive analysis and model selection. However, it does not cover all of the skills needed for this profession, such as machine learning algorithms and deep learning.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers use their knowledge of data analysis to design and build data pipelines. This course may be helpful for those interested in this profession, as it covers some of the key topics, including data visualization, predictive analysis, and prescriptive analysis. However, it does not cover all of the skills needed for this profession, such as data warehousing and data integration.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators use their knowledge of data analysis to design and build databases. This course may be helpful for those interested in this profession, as it covers some of the key topics, such as data visualization and predictive analysis. However, it does not cover all of the skills needed for this profession, such as database design and database administration.

See salaries and explore the career path for Database Administrator

Data Architect

Data Architects use their knowledge of data analysis to design and build data warehouses. This course may be helpful for those interested in this profession, as it covers some of the key topics, such as data visualization and predictive analysis. However, it does not cover all of the skills needed for this profession, such as data warehousing and data integration.

See salaries and explore the career path for Data Architect

Software Engineer

Software Engineers use their knowledge of data analysis to design and build software applications. This course may be helpful for those interested in this profession, as it covers some of the key topics, such as data visualization and predictive analysis. However, it does not cover all of the skills needed for this profession, such as software development and software testing.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers use their knowledge of data analysis to design and build websites. This course may be helpful for those interested in this profession, as it covers some of the key topics, such as data visualization and predictive analysis. However, it does not cover all of the skills needed for this profession, such as web design and web development.

See salaries and explore the career path for Web Developer

Reading list

We've selected 18 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: Methodology Selection.

Data Mining

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Provides a comprehensive overview of data mining techniques and algorithms, and it valuable resource for students and practitioners who want to learn more about this field.

Certified Analytics Professional

Methodology Selection

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What's inside

Syllabus

Good to know

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Activities

Career center

Reading list

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