What is Data Science?
Data science is an in-demand field that will give you various cutting-edge career opportunities. It encompasses many areas and disciplines, including statistics, data analysis, algorithms, machine learning, mathematics, computer science, and more. A data scientist analyzes, models, synthesizes, and interprets data to provide insights that help business executives and decision-makers make better decisions.
For a real-world example, business executives and company managers use data science to improve customer service, product and service quality, and product pricing. Data analysis provides insights into product and service design and helps companies determine which features are more appealing to buyers. It also identifies flaws in its marketing campaigns that lead to customer dissatisfaction.
Another application example is e-commerce. There are many ways to analyze data sets, including basic demographics, behavioral, past sales data, and survey research. After studying this information, companies can make informed decisions about their marketing strategies and target markets. They can also take advantage of new market opportunities that emerge because of their research.
How much does Data Science make in salary?
According to Glassdoor, the national average salary for a Data Science is $113,309 in the United States. Salary estimates are based on 6,606 salaries submitted anonymously.
According to the Bureau of Labor Statistics, the national average salary is $100,560. For more detailed information, go here.
Where to learn data science online?
Data science is one of the most versatile skills to learn in technology. So how do we approach our learning journey in this field? There are various ways to approach your learning path, some more technical than others. For example, becoming fluent in the R programming language and Python can be very valuable. Learn SQL (Structured Query Language), which is used to communicate with a database, and that knowledge can be building blocks to get into Machine Learning.
Best Online Data Science Courses
Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy.
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Master the strategic decision-making skills for the people, platforms, and processes required to leverage the power of Data Science in your business.
Leverage data to build products that deliver the right experiences, to the right users, at the right time. Lead the development of data-driven products that position businesses to win in their market.
Best Coursera Courses for Data Science
In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them.
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.
Course 4 of 5 in the Applied Data Science with Python Specialization.
Only minimal statistics background is expected, and the first course contains a refresh of these basic concepts. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in these courses valuable in their studies and careers.
Institution: University of Michigan, via Coursera
Level: Intermediate
This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization.
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
In this one-week class, Coursera will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists.
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library.
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