Where can I best learn to become a Data/Decision Scientist?

Data science has become one of the most sought-after careers of the 21st century. With the ever-increasing importance of data and its analysis, companies worldwide are searching for data scientists to help them make sense of the vast amounts of information and data.

data scientist

If you want to build a career in data/decision science, you might wonder where to get the best data science courses to become a data/decision scientist.

We understand that, so we’ve curated an in-depth guide to help you learn data/decision science easily.

These methods are curated keeping in mind the industry’s latest requirements and can help you get started with data science. So let’s dive right in.

What is data science?

To properly delve into acquiring data science skills, it’s crucial to clearly comprehend what the field entails.

If you’re a beginner, data science is a multidisciplinary field that combines machine learning courses, statistical analysis, computer science, and domain expertise to extract insights and knowledge from large troves of data.

Modern businesses acquire large amounts of data from various sources and devices. Data science techniques are becoming increasingly important in today’s world, where deep insights are hard to come by.

As a result, data science is used across various industries like eCommerce, healthcare, finance, and technology.

Who is a data/decision scientist?

A data/decision scientist is a professional who has the skills and expertise to collect, analyze, and interpret large and complex datasets.

They use various techniques to extract insights from data, including machine learning, statistical analysis, and data visualization. They are responsible for building predictive models, identifying patterns, and making recommendations based on data.

Data scientists come from various educational backgrounds, including computer science, mathematics, statistics, and engineering.

However, regardless of their background, all data scientists have a strong foundation in mathematics, statistics, and programming skills.

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Benefits of a Career in Data/Decision Science

The benefits of pursuing a career in data/decision science are numerous. Some of the key benefits include:

High Demand

Data science is one of the fastest-growing fields in the world, with a high demand for skilled professionals. According to the US Bureau of Labor Statistics, employment of computer and information research scientists, which includes data scientists, is projected to grow by 21% from 2021 to 2031, much faster than the average for all occupations.

Lucrative Salaries

Data/decision scientists are among the highest-paid professionals in the tech industry. According to Glassdoor, the national average salary for a data scientist in the United States is around $103,933 annually. However, salaries vary depending on skills, experience, industry, and location.

Diverse Opportunities

Pursuing a career in data/decision science offers diverse opportunities in various industries. Data/decision scientists are needed in the healthcare, finance, retail, and technology industries. It means you can apply your skills and knowledge to various fields, depending on your interests and career goals.

Career Growth

Data science is a rapidly evolving field, constantly developing new tools and techniques. It means there are always opportunities for data scientists to learn and grow in their careers. As you gain experience and skills, you can progress to more senior roles, such as data engineering or data architecture.

Where to Learn Data/Decision Science?

Several decision science programs are available, including online courses, boot camps, traditional education, and self-study.

In the following sections, we will inspect these options in more detail.

Online courses

Online courses offer a flexible and convenient way to learn data/decision science. They can be completed anywhere in the world and at your own pace. Additionally, many online courses offer the opportunity to learn from industry experts and to interact with other students.

Several platforms offer online data science courses, including Coursera, Udacity, and edX. These platforms offer courses on various topics, from beginner-level courses in Python and SQL to advanced machine-learning courses.

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Examples of online courses in data/decision science include:

  • Introduction to Data Science in Python (Coursera)
  • Data Analyst Nanodegree (Udacity)
  • Applied Data Science with Python Specialization (Coursera)
  • Data Science Essentials (IBM)
  • Data Science Fundamentals (edX)


Bootcamps are intensive, immersive programs offering hands-on data/decision science training. Their typical duration is 12 to 24 weeks or 3-4 months, and they are designed to provide students with the skills and knowledge needed to start a career in data/decision science. Bootcamps offer a structured learning environment and often include career support and mentorship.

Several boot camps are available for those interested in learning data/decision science, including General Assembly, DataCamp, and Springboard.

Examples of boot camps in data/decision science include:

  • Data Science Immersive (General Assembly)
  • Data Science Career Track (Springboard)
  • Introduction to Data Science in Python (DataCamp)
  • Data Science Bootcamp (Metis)

Traditional Education

Traditional education, such as a bachelor’s or master’s degree in computer science, statistics, or mathematics, can also provide a strong data/decision science foundation. These programs offer an exhaustive curriculum that covers the fundamental principles and concepts of data/decision science and provides opportunities for hands-on learning and research.

Many universities offer programs for data science certifications, including Stanford University, Massachusetts Institute of Technology (MIT), and the University of California, Berkeley. These traditional education programs typically take two to four years to complete and offer opportunities for specializations in data mining, machine learning, and statistical modeling.


Self-study is another option for those interested in learning data/decision science. It involves using online resources, textbooks, and other materials to learn the skills and knowledge needed for a data/decision science career. Self-study requires self-discipline and motivation but can be a cost-effective way to learn.

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Some popular online resources include Kaggle, DataCamp, and Codecademy. These resources offer a range of materials, from beginner-level tutorials to advanced machine-learning courses and data analysis.

How Mu Sigma EDU Programs Help You Learn Data Science?

Mu Sigma, a renowned data analytics solutions company, offers various EDU programs for data science. Thanks to collaborations with Vidyashilp University and the International School of Management Excellence (ISME), we offer Bachelor of Science (Hons) – Decision Sciences and Post Graduate Diploma in Management – Data Science and Analytics courses.

The courses teach foundation concepts, whereas apprenticing provides hands-on experience with real-world data sets and teaches various skills, including data wrangling, machine learning, and data visualization.

In addition, students will also learn about the role of data science across functions like Marketing, Finance, HR, and Business Analytics.

Final Thoughts

In conclusion, becoming a data/decision scientist is an exciting and rewarding career path that requires a combination of technical skills and domain expertise. The good news is that many resources are available for those interested in pursuing this field.

From online data science courses and boot camps to graduate programs and professional data science certifications, there are many options for individuals who want to learn the skills required to become a data/decision scientist.

As mentioned above, Mu Sigma’s EDU programs are your best bet to learn data science and start a career in the field. The company is a leader in the data analytics sector, having established itself as a trusted partner for businesses looking to make data-driven decisions.

With its unique approach to decision sciences and its commitment to innovation and sustainability, Mu Sigma is well-positioned to prepare India’s next generation of data and decision scientists.

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