Coding bootcamps offer students many ways to learn coding and other career-building skills. As jobs in the data and technology industries continue to increase, more students are interested in taking a coding bootcamp to break into these fields. For beginner students in particular, coding bootcamps are one of the most accessible and most affordable ways to learn coding and data analytics.
Coding bootcamps for beginner data scientists focus on teaching the fundamentals of using programming languages to make meaning out of data. These programs also typically include opportunities for students to apply their knowledge of data and technology to addressing real-world problems and building a portfolio of projects.
What is a Beginner Bootcamp?
Beginner bootcamps are any coding bootcamps that are geared towards students without any prior experience. However, beginner bootcamps are not just for younger students or people without job experience. Instead, the term beginner refers to those who have little or no experience in a particular skill or area of study and anyone who wants to learn more about a topic, increase their experience, or have more practice. In other words, a beginner bootcamp focuses on teaching the introductory skills for a field or industry.
For coding bootcamp students, a beginner bootcamp usually teaches a specific programming language or method. After learning the basic structure of the programming language such as grammar and syntax, students move from practicing how to code in a language to applying that knowledge using different examples and environments. Students' knowledge and skills in the classroom are also applied through hands-on exercises, collaborative team-building, and creating projects and portfolios. Therefore, beginner bootcamps are not only useful for students who are unfamiliar with a particular language or style; they can also be beneficial for professionals who require refresher courses to stay up-to-date on their industry or those who want to transition to a new career.
Coding Skills for Beginner Data Scientists
For aspiring data scientists, beginner bootcamps are one of the best ways to break into the industry or to make a career transition. And while a course or certificate program can focus on several programming languages and practical skills, there are some essential coding skills that every student should look for in a beginner bootcamp. The following list includes the three most important coding skills for budding data scientists. However, this list is not exhaustive. There are several resume-building skills that aspiring data scientists can also use to supplement their knowledge and career development.
Python and Data Science Libraries
There are many programming languages and statistical analysis software that data scientists can use. Still, Python continues to be a popular language to learn. Python is primarily known for its versatility. It can be used when working with data from different sources and industries, from advertising to financial data. As an open-source programming language, Python also includes many data science libraries that are regularly updated and maintained by a robust community of Python developers and data scientists. These libraries can collect, organize, analyze, and visualize these different datasets. Therefore, learning Python for data science is an excellent choice for beginners that want a versatile programming language they can apply to any project.
SQL and Relational Database Management
The second programming language that beginner data scientists should learn is the SQL programming language. SQL is a structured querying language used to communicate with a relational database. Relational databases store and organize data, so most data science professionals learn SQL to manage and manipulate data. In addition to learning SQL, beginner data scientists should also learn how to use database management tools like Microsoft SQL Server and PostgreSQL. Like the SQL programming language, database management tools are essential to understanding how to organize and access data, as most large datasets are held within a relational database.
Automation and Machine Learning Algorithms
The popularity of big data means that more data scientists must learn skills that simplify working with extremely large datasets for manual manipulation. Of these efficiency-based skills, automation and machine learning are common methods of simplifying many of the repetitive processes that are common to data science. By using a programming language like Python, data scientists can use algorithms and machine learning models to automate the process of data collection, cleaning, and organization. These models can also parse past data in predictive and prescriptive analytics development. Therefore, there are multiple uses of automation and machine learning algorithms for beginner data scientists.
Top Coding Bootcamps for Beginner Data Scientists
The top coding bootcamps for beginner data scientists must be accessible to all students and include the essential coding skills for beginner data scientists. Therefore, each of the following bootcamps and certificate programs offers a curriculum for beginners with no prior requirements and prerequisites and focuses on the fundamentals of data science, database management, and analytics.
Data Science Certificate
Noble Desktop's certificate programs include multiple bootcamps that beginner students can take as an introduction to a topic or skill set. For the data science certificate, prospective students will learn how to use the Python and SQL programming languages to work with different data types. By learning Python's data science libraries and notebook environments like Jupyter, students will learn the fundamental skills of collecting, cleaning, analyzing, and visualizing a dataset, querying data, and managing machine learning models.
- Cost: $3,495
- Duration: 3 weeks (full-time); 3 months (part-time)
- Skills: Python and Data Science Libraries (Beautiful Soup, NumPy, Matplotlib, Pandas, and Sci-kit), Automation and Machine Learning, SQL, Jupyter Notebook
Python for Data Science Bootcamp
Noble Desktop’s Python for Data Science Bootcamp is a wonderful coding bootcamp for beginner data scientists that want to learn more about the versatility of the Python programming language. By focusing on the different ways to use data science libraries, this beginner bootcamp teaches students how to automate the collection and analysis of data and use the Python libraries to visualize and make predictions about real-world data.
- Cost: $1,495
- Duration: 30 hours
- Skills: Python and Data Science Libraries (NumPy, Matplotlib, Pandas, and Sci-kit), Automation and Machine Learning
SQL Bootcamp
The SQL Bootcamp is a shorter coding bootcamp for beginner data scientists. The duration of this course corresponds to the specificity of the curriculum, as students in this class will learn how to use the SQL programming language to manage and query a relational database. And while this bootcamp teaches students to use PostgreSQL, the knowledge learned in this bootcamp can be applied to multiple relational database management systems.
- Cost: $975
- Duration:18 hours
- Skills: SQL and Relational Databases (PostgreSQL)
FinTech Bootcamp
The FinTech Bootcamp targets beginner data scientists and analysts interested in business, finance, and technology. As one of the most comprehensive bootcamps offered by Noble Desktop, the FinTech Bootcamp uses SQL and the Python programming language to teach students how to analyze and make predictions from financial data. Therefore, this coding bootcamp is best for students who want to learn how to use data science for investing, trading, budgeting, and other forms of financial data management.
- Cost: $4,495
- Duration: 4 weeks (full-time); 4 months (part-time)
- Skills: Python and Data Science Libraries (Beautiful Soup, NumPy, Matplotlib, Pandas, and Sci-kit), Automation and Machine Learning, SQL, Jupyter Notebook
Want to Find More Coding Bootcamps for Beginners?
Noble Desktop's coding bootcamps are an excellent resource for beginner students who want to learn how to code. These courses and certificate programs are also offered in multiple formats that meet the individual needs of each student, from in-person coding bootcamps that include instruction from training schools to live online coding bootcamps that bring instruction to students from any location. Each category includes a variety of coding bootcamps for beginners, introducing topics like web development, data science, and software engineering for students who are ready to apply their skills toward building a career.