Data Science

Data science career track

What Is Data Science?

Data science is a multidisciplinary field that combines computer science and statistics. With so much data being produced every day, data science makes it possible to draw useful insights from datasets which may be too large for traditional statistics to analyze. This data is often referred to as “big data,” and can include anything from analyzing complex genomic structures to interpreting handwriting to optimizing a marketing strategy. And data science is not limited to just numbers! Data science finds patterns in all unstructured sets, including text, images, and audio files. 

Data Science Jobs

With everyone from businesses to non-profits to the government collecting data, there is high demand for turning that data into smart business decisions. There is a wide variety of data science jobs, and if there’s one thing that we’ve learned after interviewing so many data science bootcamp graduates, it’s that no two companies use the exact same job titles. Common job responsibilities of data scientists include data engineering, data cleaning, and data analysis. Here is a list of the most frequent data science job titles for bootcampers:

  • Junior Data Scientist
  • Senior Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Data Scientist/Software Engineer
  • Big Data Analytics Consultant
  • Data Science Instructor
  • Decision Scientist
  • Data Analyst
  • Business Analyst
  • Business Intelligence Analyst
  • Data Journalist
  • Financial Analyst
  • Product Analyst
  • Database Administrator

Data Science Salaries

Data Science Job Average Salary
Data Science Analyst $80,265
Senior Data Scientists $105,909
Data Engineers $105,909

 

Data Science Skills

According to Josh Wills, Director of NYC Data Science Academy, a data scientist is a “person who is better at statistics than any software engineer and better at software engineering than any statistician.” While math skills and coding skills are an essential part of data science, business intelligence and a scientific approach are key to making sense of data. Most data science students have a previous background in STEM, but overall, data science students and professionals are detail-oriented and excel at problem-solving, logical reasoning, and communication.

Here is a quick list of data science skills and technologies used in the field and often taught at data science bootcamps:

  • SQL - SQL stands for Structured Query Language. SQL is designed for managing data in relational database management systems. SQL extracts data for data analytics and reporting. 
  • Hadoop - Hadoop is a suite of technologies used to manage data and execute programs in a cluster. Hadoop includes a file system designed for large datasets, the MapReduce system which allows for running programs in parallel, the SQL-like Hive database for querying data in a cluster, and other components.
  • Spark - Spark is a system for writing parallel programs to run in clusters. Spark has a powerful machine learning library, mllib, and can be used with R. 
  • Python and R - Both languages are equally important in data science! Python is used for computer science components of a data scientist’s job. R is used for building statistics packages and visualizations. Combining both Python and R greatly increases their range of capabilities.
  • Machine Learning - Machine learning is a set of algorithms that is put in place to analyze large sets of data. Many of these algorithms are built so that the machine learns to feed better data into later models, and ultimately make predictions about future events. 
  • Natural Language Processing - Natural Language Processing (NLP) is a method for pre-processing text to turn it into numerical data. NLP is also known as computational linguistics.
  • Data science math includes linear algebra, calculus, statistics, and probability.

How to Become a Data Scientist

Many Data Scientists start their careers in academia – if you have a bachelor’s degree or PhD in a quantitative field, then you’re already close to a data science career. A data science fellowship like The Data Incubator or Insight Data Science would be fantastic options. 

Most data science bootcamps require students to have a degree in STEM and an aptitude for math and statistics. If you don’t have a quantitative degree, then you should sharpen your math skills like linear algebra, calculus, statistics, and probability. Then, you’ll be ready to apply to a data science bootcamp. 

Master’s in Data Science vs Data Science Bootcamps

While a Master’s in Computer Science with a specialization in Data Science typically takes 3 years to complete, data science bootcamps are typically intensive 3- to 6-month programs. Data science bootcamps often offer career assistance, and prepare graduates for entry-level and junior data science jobs, such as Data Analyst, Data Scientist, and Data Engineer.

A data science bootcamp is not a traditional coding bootcamp. In addition to learning programming languages, such as Python and/or R, data science bootcamps teach students how to extract valuable knowledge from large datasets using analytical and programming skills. 

Are Data Science Bootcamps Worth It? 

“I would definitely do it again in a heartbeat. It was definitely worth the money. The learning environment, having the type of classmates that you can learn from, the instructors — you definitely couldn’t have gotten it just by learning on your own.” Itelina, graduate of Metis

 

“I can say that, for me, 100% it was worth it – but I will say the boot camp is also about the work you’re putting in and the goals that you have. I really wanted to sponge off of the people around me – not just the teachers, but also all these PhD students around me. It was the most intelligent group of people I’ve been around in such a small space before. I’ve never had such an amazing opportunity.” Sumanth, graduate of NYC Data Science Academy

 

“I definitely think I needed Galvanize. Because I wanted to break into the tech industry, having Galvanize on my resume along with the skills I learned there, bolstered my ability to get a job.” Rosie, graduate of Galvanize

 

“For me, It was totally worth it. I would do it all over again. IE in particular taught me a lot more than how to use Python and SQL. It teaches the technical skills, but at the same time it gives you access to professors that are going to make the process a lot less frustrating and more fun so that you have the motivation to keep going. Plus all of the extras. You get to network with companies and those companies come to give talks. I made a lot of friends in this bootcamp, too.” Inna, graduate of IE Data Science Bootcamp

How much does a data science bootcamp cost? 

Full-time, immersive data science bootcamps typically cost between $10,000 and $20,000. Many data science bootcamps offer scholarships and financing options to make tuition affordable. There are also fellowships and free data science bootcamps, such as Insight Data Science and The Data Incubator.

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The 204 Best Data Science Bootcamps

  • Avg Rating: 4.4 (10 reviews)

    St. Louis3 Courses

    washington-university-boot-camps-logo

    Washington University Boot Camps offer 24-week, part-time Data Analytics, Cybersecurity and Coding programs. The data curriculum includes programming in Excel, Python, R programming, JavaScript charting, HTML/CSS, API interactions, SQL, Tableau, fundamental statistics,...

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  • Avg Rating: 5.0 (9 reviews)

    Online3 Courses

    k2-data-science-logo

    K2 Data Science is an online part-time, mentor-led program that can be completed over 3-12 months. The experience will turn students into job-ready candidates through self-paced learning. K2 Data Science's goal is to create an online classroom that replicates in-person...

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  • Avg Rating: 5.0 (9 reviews)

    Nairobi6 Courses

    ubunifu-college-logo

    Ubunifu College is an immersive coding bootcamp in Nairobi, Kenya with programs in full stack software development, data science, blockchain, and artificial intelligence. Ubunifu College offers short courses (1-3 months), professional courses (6 months), and a...

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  • Avg Rating: 5.0 (9 reviews)

    Stockholm1 Course

    nod-logo

    Nod is an immersive, 10-week Data Analytics coding bootcamp in Stockholm, Sweden. The Nod curriculum covers Python, SQL, Pandas, Numpy, Matplotlib, Seaborn, A/B testing, and regression analysis. Students are introduced to supervised and unsupervised machine learning,...

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  • Avg Rating: 4.78 (9 reviews)

    Hong Kong6 Courses

    xccelerate-logo

    Xccelerate is a Hong Kong-based immersive coding, data science/machine learning, and UX bootcamp providing 6 to 16-week part-time and full-time courses. Xccelerate was founded with the mission to bridge the talent gap in Hong Kong, China. With its...

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  • Avg Rating: 4.56 (9 reviews)

    Baltimore2 Courses

    johns-hopkins-engineering-boot-camps-logo

    Johns Hopkins Engineering Boot Camps offer 24-week, part-time courses in web development and data analytics. The full stack curriculum includes HTML, CSS, JavaScript, jQuery, Bootstrap, Express.js, Node.js, databases, MongoDB, MySQL, and Git.

    The data...

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  • Avg Rating: 5.0 (8 reviews)

    Nairobi3 Courses

    moringa-school-logo

    Moringa School is an intensive tech education program based out of Nairobi, Kenya offering a 5-week prep, and 5-month course. Moringa School is a world-class coding accelerator with a direct education to employment model. The focus is to enable a whole generation of...

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  • Avg Rating: 4.83 (8 reviews)

    Online1 Course

    365-data-science-logo

    365 Data Science is a self-paced, online Data Science bootcamp. The flexible course schedule means there is no set time limit in which to complete the program by. The bootcamp is divided into four modules that cover data science fundamentals, programming, data science...

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  • Avg Rating: 5.0 (7 reviews)

    Oakland1 Course

    kickstart-coding-logo

    Kickstart Coding offers a part-time, online 4-month full-stack coding bootcamp. The curriculum consists of two sequential phases: Kickstart Backend (a rigorous Python class) and Kickstart Frontend (a crash course on modern JavaScript practices and React JS). Lessons...

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  • Avg Rating: 5.0 (7 reviews)

    Munich, Cologne, Hamburg3 Courses

    neue-fische-logo

    Neue Fische offers 3-month web development, data science and Java bootcamps in Hamburg, Cologne and Munich, Germany. Classes are taught in German and students learn through exercises, projects, homework, and group work in a startup atmosphere. Towards the end of the...

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