Data Science

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

R-Studio This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied. Course Key Learnings: Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science Course Content:  Module1: R Studio setup Introduction Understanding R and RStudio Module 2: Familarsing Working Directories Packages […]

Informatica is a data integration tool based on ETL architecture.  It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance service What are the skills required for an Informatica professional? Some of the essential skills required for an Informatica Developer include: Top Informatica Courses You Need to Enroll in Today Informatica PowerCenter: This course covers the fundamentals of Informatica PowerCenter, including data integration concepts, data mapping, and data transformation. It’s a great starting point for beginners. Informatica Data Quality Training IDQ: Informatica Data Quality Training IDQ is a comprehensive course […]

Data science has become a game-changer for businesses in recent years. With the increasing availability of data and the rise of advanced analytics techniques, data science has the power to transform the way organizations operate and compete in their respective industries. In this guide, we will explore the key concepts, tools, and techniques of data science and how they can be applied to drive business value. What is Data Science? Data science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract insights and make predictions from data. It involves the following steps: a. Data Preparation: […]

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It involves the use of various tools and techniques from disciplines such as mathematics, statistics, computer science, and domain expertise to analyze and interpret data. The ultimate goal of data science is to derive actionable insights, make informed decisions, and drive business value through data-driven strategies and solutions. Data science encompasses various sub-disciplines such as machine learning, deep learning, data mining, data warehousing, and big data analytics. Benefits of Data Science Certification: Here are some reasons […]

Designing and Implementing Data Science with Azure The Azure Data Scientist applies their knowledge of data science and machine learning to implementing and running machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production. Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure in particular, using Azure Machine Learning Service. This entails planning […]

Designing and Implementing Data Science with Azure The Azure Data Scientist applies their knowledge of data science and machine learning to implementing and running machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production. Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure in particular, using Azure Machine Learning Service. This entails planning […]

Designing and Implementing Data Science with Azure The Azure Data Scientist applies their knowledge of data science and machine learning to implementing and running machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production. Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure in particular, using Azure Machine Learning Service. This entails planning […]

DP-100 – Designing and Implementing a Data Science Solution on Azure Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. What you’ll learn Know how to implement solutions for the Microsoft Azure ML platform Pass the Microsoft DP-100 Microsoft Azure Machine Learning test the first time Achieve the Azure Data Scientist Associate badge Be up-to-date on the latest updates to this […]

DP-100 – Designing and Implementing a Data Science Solution on Azure Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. What you’ll learn Know how to implement solutions for the Microsoft Azure ML platform Pass the Microsoft DP-100 Microsoft Azure Machine Learning test the first time Achieve the Azure Data Scientist Associate badge Be up-to-date on the latest updates to this […]