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Data Science Essentials
4.52
Beginner level
3.0 learning hrs
Learn the basics of Data Science Essentials with a free online course. Gain a solid foundation in data analysis, statistics, machine learning, and data visualization. Enroll now in our free Data Science Essentials course.
Instructor:
Dr. Abhinanda Sarkar
About this course
To keep pace with the ever-changing landscape of data and its related fields, the handling and analysis of data have become increasingly important. That's why data science has become such a rapidly growing field, attracting millions of people who want to learn and master the subject.
Data Science is the study of information, its origins, meaning, and how it can be transformed into valuable resources and inputs to inform business and IT strategies. In this course, you will learn what data science is and why it's crucial in today's technology-driven world.
You will be introduced to the life cycle of data, the basics of statistics and time series analysis, as well as databases like SQL and NoSQL. After gaining an understanding of data, you will learn how to handle large amounts of data using Big Data techniques. This course provides a comprehensive introduction to the world of Data Science and its related topics.
Dr. Abhinanda Sarkar, Ph.D. from Stanford University and former MIT faculty, teach the course. He is the Academic Director at Great Learning for the Data Science and Machine Learning programs.
Course outline
What and Why Data Science?
This module introduces the domain of Data Science, defining its purpose and explaining why it has become a critical field in the modern technological world.
Lifecycle of Data Science
This module covers the complete lifecycle of data, from collection and processing to analysis and communication of insights.
Basic idea of Distribution
This module focuses on the basic idea of statistical distributions, teaching you how to understand and interpret data patterns and variability.
A/B Testing
This module explores A/B testing, demonstrating how to design and execute experiments to compare two versions and determine which performs better.
Time Series in Data Science
This module teaches the fundamentals of time series analysis, covering techniques for analyzing data points collected over a sequence of time.
Introduction to Data Science
This section gives you various examples to help you understand Data Science. It explains how you decide on a place for the vacation, how the weather is predicted, and sales during a particular time in a year using data science.
Big Data - 3Vs
This module covers the concept of big data, focusing on the three key characteristics: volume, velocity, and variety.
Introduction to SQL and NoSQL
This module introduces database technologies, explaining the fundamental differences and use cases for both SQL and NoSQL databases in data science.
SQL vs. NoSQL
This module clarifies the distinction between SQL and NoSQL, detailing the pros and cons of each for various data storage and retrieval needs.
Get access to the complete curriculum once you enroll in the course
4.52
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Easy to Follow
60% of learners found the course easy to follow
Our course instructor
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
Data Science Expert
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Data Science Essentials is a field that combines various disciplines, including statistics, mathematics, computer science, and domain knowledge, to extract insights and knowledge from data. It analyzes large and complex data sets to uncover patterns, relationships, and insights that can inform decision-making and drive business value.
Data Science is important because organizations in all industries collect and store vast amounts of data. The demand for professionals making sense of this data is growing rapidly. Data Science skills can help organizations gain a competitive edge by allowing them to make data-driven decisions, improve operations, and drive innovation.
To study Data Science Essentials, you can enroll in a free online course. A free online course is a great way to get started with Data Science and learn the basics of the field without incurring any costs. It can also help you to determine if Data Science is the right career path for you before committing to more extensive and expensive training programs.
In a free Data Science Essentials course, you can expect to learn about the basics of data science, including data cleaning and preparation, statistical analysis, machine learning, and data visualization. You will also get hands-on experience with data analysis tools and techniques and have the opportunity to work on real-world data science projects.
By taking a free Data Science Essentials course, you will gain a solid foundation in the field and develop the skills and knowledge necessary to pursue a career in Data Science or continue your studies in more advanced topics. Whether you are a student, professional, or simply interested in Data Science, a free online course is a great way to get started and learn about this exciting and rapidly growing field.