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First Models and Tests

Self-Paced Learning
24 Hours
Beginner

This course focuses on the data science part, how do we find relevant data, what can we use PCR for, etc. After this course, users should be able to understand datasets and determine/fix problems with them.

$ 0.00
Self-Paced

Course overview

About this Course:

This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. This course also is related to Data section of Data Science, Cleaning, Analyzing and interpreting Data. You will learn a few techniques for Logistic Regression, Time Series Modelling,Time Series Analysis and Survival Analysis. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning.

By the end of this course, you should be able to: Identify common modeling challenges with time series data Explain how to decompose Time Series data: trend, seasonality, and residuals Explain how autoregressive, moving average, and ARIMA models work Understand how to select and implement various Time Series models Describe hazard and survival modeling approaches Identify types of problems suitable for survival analysis.

Who should take this course?

This course targets aspiring data scientists interested in acquiring hands-on experience with Time Series Analysis and Survival Analysis.  

What skills should you have?

To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics.

 

Outline

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24 Hours
Beginner
Self-Paced Learning

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This course focuses on the data science part, how do we find relevant data, what can we use PCR for, etc. After this course, users should be able to understand datasets and determine/fix problems with them.

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Shorten the learning curve. Validate your skills in Challenge Labs featuring real scenarios in risk-free environments.

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Meet some of our Coaches

Bekim Dauti

Microsoft Certified Trainer

Bekim Dauti works in the administration of servers and computer networks and training in Cisco, CompTIA, and Microsoft. He has a bachelor's degree from the University of Tirana and a master's degree from UMGC Europe, both in IT.

Sudhanshu Pandey

Software Engineer

Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.

Zaki Medina

CTO in Healthcare

Zaki has many years of experience in the Telecom, Utility and Healthcare industries leading data science, analytics and technical teams with an advanced understanding of data engineering, data science, ML-Ops and Responsible AI technologies and the appropriate application of these technologies to solve problems at a massive scale.

William Clark

CompTIA Instructor and Consultant

William Clark is the founder and CEO of Clark Technology Group. For 30 years he has worked in networking and cybersecurity in retail, health care, government, military and manufacturing sectors.​

Khalil Demeri​

Cloud Solutions Architect

Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.

Saurabh Khan​

Cloud Coach

Saurabh is an enthusiastic instructor and accomplished Cloud Engineer. With a solid background in architecting cloud solutions and hands-on experience in configuring and deploying applications on leading cloud platforms like Azure, GCP, and AWS, Saurabh possesses a wealth of knowledge to share with learners.

John Morah

Azure Architect

John is an experienced instructor and highly skilled Cloud Architect who brings a wealth of technical expertise to the table. With a career that began in January 2001, John has been fixing computers and providing technical training and support on Microsoft and Google technologies for over two decades.

Uchechukwu Cos-Ibe

GCP Cloud Engineer

Uchechukwu Cos-Ibe is a highly skilled and GCP-certified Cloud Engineer with a strong background in deploying and managing cloud infrastructure. With expertise in automating cloud deployments using Terraform and implementing CI/CD pipelines. Uchechukwu's experience as a Database Administrator and Data Science professional further enhances their ability to provide valuable insights and optimize cloud solutions.

Dickson Victor

Devops Engineer

Dickson is a DevOps Engineer with multi-cloud certifications and experience working with AWS, Google cloud and Microsoft Azure. He is an AWS community builder, Microsoft Certified trainer, AWS Accredited Instructor and technical writer.

Arjun Sasikumar

Cloud Architect

Arjun has 10+ years of IT experience. Currently working as a Google Cloud Consultant in a Multi-National Company. He is holding certifications in Google Cloud Digital Leader , Google Cloud Associate Cloud Engineer and Google Cloud Professional Cloud Architect.

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