Module 4: Deploy and Maintain Assets

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INTRODUCTION – Deploy and maintain assets This is the module where you will do indepth review of key concepts associated to the Deploy and Maintain Assets in Power BI as it readies you for the PL-300 exam. You will not only review the basic and advanced concepts that are necessary for effective management and deployment … Read more

Module 3: Your Career as a Data Professional

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INTRODUCTION – Your Career as a Data Professional You, through a detailed study of the skills of data professionals such as data analysis and teamwork, will explore the process of data analysis and visualization. Learning Objectives Recognize the various career resources that would assist in preparation for a job search, and then compare and contrast … Read more

Module 2: The Impact of Data Science

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INTRODUCTION The Impact of Data Science Now armed with more elaborate knowledge on the evolution of data science, it shall be time to ride to modern-day data workplaces and show how data professionals organize and analyze information to bring about decisions made by organizations. Learning Objectives Acknowledge and address the ethical consequences that data analyses … Read more

Module 1: Introducing Data Analytics

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Google Certification Data Analytics Course DescriptionThis program teaches how data analytics functions and how it is used in conjunction with various specialized tools to guide all business decisions. You will learn how the course is structured and the expectations of the whole program. In the same way, personal and business decisions are critical to how … Read more

Week 2: All About Analytical Thinking

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Data analysts hold several roles within their works. In this part of the course, you learn about some of these roles and the fundamental skills used by analysts. You will also learn analytical thinking as well as its relevance to data-driven decision making. Learning Objectives Define the terms data and decision-driven. Clarify the examples What … Read more

INTRODUCTION – Explore Data And Create Models To Predict Numeric Values

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Data exploration and analysis are fundamental to data science. Data scientists need proficiency in languages like Python to explore, visualize, and manipulate data effectively. In this module, you will learn how to utilize Python for these tasks. Additionally, you will discover how to use regression techniques to develop a machine-learning model for predicting numeric values. … Read more