Basics of Data Analytics

Lean how to manage data ... and have fun doing it!
Free Download What you'll learn
Understand the fundamentals of data analytics and its applications in various fields.
Identify and define different types of data and their respective data structures.
Apply basic statistical concepts and models to data sets to identify patterns and trends.
Apply data visualization techniques to represent complex data sets in an understandable way.
Requirements
No prerequisites
Description
Welcome to our eLearning school, where we offer courses in Data Analytics, Project Management, and Lean Six Sigma principles. Our school is designed to provide you with the knowledge and skills you need to excel in these critical areas of business.Our courses are taught by experienced professionals who are experts in their respective fields. They bring a wealth of knowledge and real-world experience to the classroom and are committed to helping you succeed. Our flexible, online format allows you to learn at your own pace, on your own schedule. You can check our FREE courses on our website!Whether you're looking to advance your career, transition to a new field, or expand your skill set, our eLearning school has something to offer. We invite you to explore our course offerings and join our community of learners today.Our Data Analytics courses teach you how to gather, organize, and analyze large data sets to gain insights and make informed business decisions. You'll become proficient in data visualization tools and learn how to interpret information gathered in statistical tables, as well as database management and statistical analysis techniques.The format is Instructor-led. You'll get to experience an actual in-class lecture for the price of an online course. All the volunteers participating in the class come from various backgrounds with different levels of Data mastery. So whether you are a beginner learner or a professional looking to refresh your knowledge; this is the right place to start.
Who this course is for
Beginner Data enthusiasts curious to build a good foundation in Data analytics.
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