This specialization, offered by LearnQuest, equips learners with essential skills and knowledge to excel in data analytics. The first course, Fundamentals of Data Analysis, delves into core concepts, tools, and skills required for data analysis. Fundamentals of Cloud Computing introduces participants to cloud computing concepts and deployment models while guiding them through configuring a cloud account. In Fundamentals of Data Warehousing, students learn about data warehousing components and architectures, with hands-on practice in configuring cloud storage options. Fundamentals of Big Data covers the concepts, systems, and life cycles of big data, providing practical experience in loading data into a cloud account. This comprehensive program offers a strong foundation for a successful career in data analytics.
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Key Technologies in Data Analytics encompasses four courses: Fundamentals of Data Analysis, Fundamentals of Cloud Computing, Fundamentals of Data Warehousing, and Fundamentals of Big Data. Each course provides a comprehensive overview of essential concepts and practical skills crucial for a successful career in data analytics.
Learn about the primary types of data analysis and the phases of the data analysis process, as well as the tools and skills required to conduct data analysis.
Gain an in-depth understanding of cloud computing concepts, primary deployment models, and common service models. Practice configuring a cloud account to build relevant knowledge and skills.
Explore core concepts of data warehousing, including primary components and architectures. Gain hands-on experience in adding storage to a cloud environment and configuring a database.
Discover the core concepts, systems, and life cycles of big data. Engage in practical exercises to load data into a cloud account, building essential knowledge and skills for a career in data analytics.
Learn to create experiments for business or research by setting up a hypothesis, identifying variables, and designing a research question.
Go Beyond the Numbers: Translate Data into Insights. Learn exploratory data analysis, data visualization, and storytelling to uncover and communicate key insights....
Python for Data Visualization: Matplotlib & Seaborn helps learners grasp Python data visualization fundamentals using Matplotlib and Seaborn libraries.
This course offers an introductory level of skills for aspiring data analysts. Learn about essential analytical concepts and tools through Google's practical curriculum....