Calculus through Data & Modelling: Series and Integration offered by Johns Hopkins University builds on your calculus knowledge by introducing you to the concepts of series, sequences, and integration. The theory and applications of the second key tool of calculus, the integral, can be developed using these foundational skills. The integral, rather than monitoring rates of change, allows you to calculate the accumulation of a quantity over a range of input values. Money, people, weight, area, volume, and air pollutants are all examples of quantities that can be accumulated in this way. Outside of traditional mathematics, the concepts covered in this course can be applied to a variety of other fields. Through projects, we will use the techniques learned in this course to evaluate and model real-world data and provide policy criticisms based on our findings.

Several key approaches for calculating accumulation are created in the same way as derivatives were developed. This course starts with a deep and important result from the Fundamental Theorem of Calculus, which explains the link between differentiation and integration processes. This is the course for you if you want to learn more advanced mathematics.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Intermediate Level
  
• Approx. 9 hours to complete
  
• Subtitles: English
• Course 1 of 4 in the Integral Calculus through Data and Modeling Specialization

Coursera Rating: 5.0/5.0
Enroll here: https://www.coursera.org/learn/calculus-through-data-and-modelling-series-and-integrals

The Johns Hopkins University's objective is to educate and promote its students' ability for lifelong learning, to foster autonomous and creative research, and to bring the advantages of discovery to the rest of the world.

Calculus through Data & Modeling: Precalculus Review offered by Johns Hopkins University takes the third position on the list of the Best Online Data Model Courses. This course takes an inquisitive, applications-oriented approach to learning the mathematical topics required for continued study in single and multivariable calculus. The study of functions, including polynomial, rational, exponential, logarithmic, and trigonometric functions, is the unifying theme. The use of these functions to model and analyze data is emphasized. The course will make extensive use of graphing calculators and/or computers.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 8 hours to complete
  
• Subtitles: English
• Course 1 of 4 in the Differential Calculus through Data and Modeling Specialization

Coursera Rating: 4.8/5.0
Enroll here: https://www.coursera.org/learn/calculus-through-data-and-modelling-precalculus-review

Calculus through Data & Modeling: Limits & Derivatives is offered by Johns Hopkins University. The notions of limits of a function will be introduced in this first course on single variable calculus topics in order to determine the derivative of a function. The derivative in mathematics is a measurement of a function's sensitivity to change. The velocity of a moving item, for example, is the derivative of its position with respect to time: it quantifies how quickly the object's position varies as time passes. Modeling and data analysis will be used to apply this essential concept.

This course offers:

• Flexible deadlines: Set and maintain flexible deadlines.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 10 hours to complete
  
• Subtitles: English
• Course 2 of 4 in the Differential Calculus through Data and Modeling Specialization

Coursera Rating: 4.8/5.0
Enroll here: https://www.coursera.org/learn/calculus-through-data-and-modelling-imits-derivatives

With revolutionary technology made in—and for—the cloud, Google Cloud enables millions of organizations empower their employees, service their customers, and build what's next for their businesses. Google Cloud technologies are built for security, scalability, and dependability across the entire stack, from infrastructure to apps to devices to hardware. Google Cloud teams are committed to assisting customers in successfully implementing solutions.

As one of the Best Online Data Model Courses, Developing Data Models with LookML offered by Google Cloud is worth mentioning. This course will teach you how to create scalable, performant LookML (Looker Modeling Language) models that give your business users standardized, ready-to-use data to answer their inquiries. You will be able to start constructing and maintaining LookML models to curate and manage data in your organization's Looker instance after finishing this course.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Intermediate Level
  
• Approx. 6 hours to complete
  
• Subtitles: English
• Course 3 of 3 in the Creating Business Value with Data and Looker Specialization

Coursera Rating: 4.7/5.0
Enroll here: https://www.coursera.org/learn/developing-data-models-with-lookml

On a national and international scale, the University of Colorado is a renowned leader in higher education. To satisfy the different needs of our students and communities, we work together. In ways that are unique to Colorado and beyond, we stimulate innovation, inspire discovery, and support the expansion of knowledge.

Clinical Data Models and Data Quality Assessments offered by University of Colorado System, one of the Best Online Data Model Courses, covers the fundamentals of clinical and common data models. Learners will be able to use Entity-Relationship Diagrams (ERDs) to interpret and evaluate data model designs, differentiate between data models and articulate how each is used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model after completing this course.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Intermediate Level
  
• Approx. 17 hours to complete
  
• Subtitles: English
• Course 2 of 6 in the Clinical Data Science Specialization

Coursera Rating: 4.7/5.0
Enroll here: https://www.coursera.org/learn/clinical-data-models-and-data-quality-assessments

How do you collect, store, and organize your data utilizing Large Data solutions once you've discovered a big data issue to investigate? Throughout this course, you will be exposed to a variety of data genres, as well as the management techniques that are suited for each. From the standpoint of big data management systems and analytical tools, you will be able to explain the causes for the emergence of a variety of new big data platforms.

You will become familiar with strategies employing real-time and semi-structured data samples through guided hands-on sessions. AsterixDB, HP Vertica, Impala, Neo4j, Redis, and SparkSQL are among the systems and tools explored. This course teaches you how to get the most out of existing untapped data sources and how to find new ones.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 13 hours to complete
  
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
• Course 2 of 6 in the Big Data Specialization

Coursera Rating: 4.4/5.0
Enroll here: https://www.coursera.org/learn/big-data-management

One of the Best Online Data Model Courses, Healthcare Data Models offered by University of California, Davis is suitable for those who are qualified to work in healthcare data analytics have a bright future. Perhaps you work in data analytics but want to shift into healthcare so that you can help people live better lives. If that's the case, this course will show you why this work is important, what you'll be doing in this role, and what happens on the Path to Value, where data is collected from patients at the point of care, moved into data warehouses to be prepared for analysis, and then moved along the data pipeline to be transformed into valuable insights that can save lives, reduce costs, improve healthcare, and make it more accessible and affordable.

Perhaps you work in healthcare but are thinking about changing careers. If that's the case, this course will assist you in determining whether or not this is a professional path you wish to pursue. You'll learn about common data models and how to use them. You'll learn how to combine data from diverse systems, how to ensure clear communication, and how to monitor and improve data quality. Doctors, physicians, patients, care providers, and those who work to improve health outcomes benefit from data analytics in healthcare. This program will provide you with a clear image of data analysis in today's rapidly evolving healthcare profession, as well as the opportunities it provides.

This course offers:

• Flexible Schedule: Set and maintain flexible deadlines.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. months to complete: Suggested pace of hours/week
  
• Subtitles:

Coursera Rating: 4.5/5.0
Enroll here: https://www.coursera.org/learn/healthcare-data-models

Data Modeling and Regression Analysis in Business offered by University of Illinois at Urbana-Champaign is definitely worth your consideration. Many business managers and individuals who have attended the first two courses in this area will be familiar with the beginning of the course. Data description, statistical inference, and regression will be explored in the first set of tools.

Learners will apply these ideas to various statistical methods for predicting categorical response variables, such as win-don't win auctions. Students will learn about tools for detecting essential aspects in the dataset in the next segment, which can either minimize the complexity of the dataset, help identify important data elements, or further help explain behavior.

This course offers:

• Flexible Schedule: Set and maintain flexible deadlines.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Intermediate Level
  
• Approx. 25 hours to complete
  
• Subtitles: French, Portuguese (European), Russian, English, Spanish

Coursera Rating: 4.3/5.0
Enroll here: https://www.coursera.org/learn/data-modeling-regression-analysis-business

Data Modeling and Relational Database Design using ERwin is the single area where you may store all essential information about a data asset (definitions, structure, connections, integration points, and so on) and provide it to stakeholders involved in data management and consumption in a visual and contextually appropriate style.

The course will teach you how to create and maintain data models using the popular data modeling tool ERWIN. With the help of relevant modeling scenarios, we'll go over several data modeling methodologies and get you ready to tackle complicated data modeling challenges and become an expert data architect. The tools and techniques covered in this course can be used with both OLTP and OLAP databases.

Requirements:

• SQL RDBMS

Who this course is for:

• Data Modelers
  
• Data Architects
  
• Database administrators
  
• ETL developers
  
• DWH/BI professionals
  
• Business Analysts

Subtitles:English
Udemy Rating: 4.5/5.0
Enroll here: https://www.udemy.com/course/datamodeling/

Mastering Data Modeling Fundamentals is for you if you are a current or aspiring IT professional looking for sound, practical approaches to analyze and model data as part of the broader data management lifecycle.

Throughout the course, you'll apply what you've learned by defining sample data model segments in both "traditional" entity-relationship notation and "crow's foot" notation to highlight the best practices and approaches taught. Each part contains either scenario-based quiz questions or hands-on projects that reinforce the unit's primary learning objectives. As a result, you can be confident that you're learning the most important aspects of data modeling as you progress through the course.

Requirements:

• Students only need a basic understanding of data management concepts and constructs such as relational database tables and how different pieces of data logically relate to one another. The course content builds on these rudimentary ideas; no other prerequisites are needed.

Who this course is for:

• A business analyst, data engineer, or database designer, currently with little or no exposure to or experience with data modeling, who desires to build a personal toolbox of data modeling best practices and techniques.
  
• After completing this course, you will be ready to begin working on real-world data modeling projects, either with expanded responsibilities as part of an existing role or to find a new position involving data modeling. Example positions include database designer, conceptual data modeler, database engineer, and business analyst with an emphasis on data requirements.

Subtitles:English
Udemy Rating: 4.4/5.0
Enroll here: https://www.udemy.com/course/mastering-data-modeling-fundamentals/