Programing and Data Analytics INTRODUCTION R is an open-source language designed for statistical computing and graphics. In the context of Coursera’s Google Data Analytics Professional Certificate, you will come into contact with R and its environment: RStudio. RStudio is an advanced integrated program development environment (IDE). It has a console for direct entry of commands, … Read more
Week 2: Formatting and Adjusting Data Quiz Answers Organizing Data to Begin Analysis INTRODUCTION Organizing and formatting the data is indeed a step in the analysis. In this part of the course, you will learn about SQL query construction for joining different datasets and other techniques for organization and formatting data with the Google Data … Read more
Week 5: Optional: Adding Data To Your Resume A resume is one of the most crucial pieces of information that a data analytics professional has. Right information can make the difference between getting a good job and being promoted. This part of the course will demonstrate how to build focused and directed resumes with all … Read more
Week 4: Organizing and Protecting Your Data Introduction to Detection and Incident Response Organizational skills are a very essential aspect when considering a career in data analytics; one of the techniques that makes such a difference is archiving. The use of past and current works helps a data analyst to structure and organize the system … Read more
Week 3: Databases: Where Data Lives DATABASES: WHERE DATA LIVES – INTRODUCTION Through databases, data analysis is made possible. The certification on Google Analytics on Coursera would help anyone on learning to gain access to databases for his or her purposes of working on data already stored there. You will learn to extract filter and … Read more
Week 2: Bias, Credibility, Privacy, and Access Bias, Credibility, Privacy, and Access INTRODUCTION Welcome to the Google Data Analytics Professional Certificate in collaboration with Coursera! This is the section of the course that will teach you how to identify bias in data, ensure its credibility, and find open data resources. You will also learn about … Read more
INTRODUCTION – Modeling Data The module will explore all critical details related to preparing and loading data into Power BI, which are part of the PL-300 exam preparation. Topics will include fundamental principles and advanced techniques that can be applied for efficient data handling in Power BI. This will ensure that you understand and can … Read more
INTRODUCTION – Visualize and analyze data This is where you will review in detail the essentials of visualizing and analyzing data in Power BI in preparation for your PL-300 exam. You will focus on both the fundamentals and advanced techniques needed to create meaningful visualizations and conduct comprehensive analyses inside Power BI so that these … Read more
INTRODUCTION – Exam Prep 2 During this module, you shall be oriented concerning a multitude of tools and services provided by Microsoft Azure. Besides, it will orient you back to several Azure services designed for the safety, security, and trust of your cloud resources. The practice test will also test for competence in the areas … Read more
INTRODUCTION – Exam Prep 1 This module will serve as a review for all cloud computing concepts and the core services of Microsoft Azure. You will also assess your skills with a practice examination that covers the topics in the cloud concepts and core Azure services domains of the AZ-900 Microsoft Certified Azure Fundamentals exam. … Read more