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Data Science Best Courses

Discover what you need to know about a career in Data Science in 2022. Learn how to get started with Data Science and what skills you need to become a Data Scientist.

F.A.Q.

Frequently Asked Questions

What makes data science a good career choice?
Career in Data Science is lucrative and rewarding. The biggest advantage of data science is that it is applicable to many different industries, from sales/marketing to finance, pharma/healthcare, and even retail and consulting.

Any company employing data to drive decisions is a good fit for you. In addition to high demand and competitive salaries, Data Scientist is also “among the top3 jobs in America”, according to Glassdoor 2022.

Why Are Data Scientists in High Demand?
Businesses generate large amounts of data on a regular basis, and data has become the mainstay of business decision-making. In the age of the Internet of Things (IoT), the amount of data generated in the world has grown exponentially.

Using data science techniques proved as a successful way of extracting useful insights from large amounts of data. As a result, companies increasingly rely on data scientists’ insights.

what is the average income of a data scientist?
The average base salary for a Data Scientist in the U.S. is currently $129,356 per year, according to Indeed April 20, 2022.
What is the job of a data scientist?
In a data science project, math, statistics and computer science all combine to analyze, process, and model data, then interpret the results to make decisions that benefit companies and organizations.

Data scientists typically work in teams to mine structured or unstructured data for information that can be used to predict behavior and identify new opportunities. In many organizations, data scientists are also responsible for setting best practices for collecting data, using analysis tools and interpreting data.

What Are the Prerequisites for Getting Started with Data Science?
A degree (or core courses) in computer science, information technology, mathematics, statistics, engineering, or any related field already meets the minimum educational requirement to pursue a career in Data Science.
Which Programming Languages Should a Data Scientist Learn?
The top 3 programming languages data scientists use are: Python, R and SQL.

Note that some particular cases require knowledge in Java, JavaScript, Go and Scala.

Data Scientist vs. Data Analyst: What's the Difference?
An analyst curates insights from data, whereas a data scientist predicts the future using past patterns. A data scientist’s job role involves predicting the unknown, while a data analyst’s job involves analyzing the known in a fresh perspective.