Become a Data Scientist through Tech Talent South’s Bootcamp for Data Science  

Tech Talent South’s Data Science Program

In Tech Talent South’s Data Science Program, students learn beginner and intermediate levels of Data Science with R, Python, Hadoop, Spark, Github, and SQL as well as popular and useful R and Python packages like Tibbles, ggplot2, scikit-learn, and more. Once the learning foundation has been set, students work on multiple projects through the bootcamp. The program distinguishes itself by balancing intensive lectures with real-world project work, and by the breadth of its curriculum. By the end of the online program, you will have the skills, experience, and confidence needed to dive into a career in data.

The program’s curriculum is challenging, comprehensive, and constantly updated, ensuring you are always learning the most in-demand data analytics skills, techniques, and tools used by Data Scientists. Led by educators with experience in the field, you will develop and work on real-world data problems, building a standout portfolio of completed projects.

In addition to our core curriculum, our career services, interview readiness, and other talent development activities put students in front of professionals who are excited about getting to know them and connecting them with potential opportunities. The technology opportunities are continuously expanding and so are our graduates.

How Long is Tech Talent South’s Bootcamp for Data Science

The course length is 16 weeks.

What Financing Options Are Available for Tech Talent South’s Bootcamp for Data Science?

The cost of this program is $14,750.

Students may pay the tuition up-front or choose from financing options as outlined here.

Many students have used an Income Share Agreement (ISA) to finance this program. Learn more about ISAs.

What is Tech Talent South’s Bootcamp for Data Science Course Outline?


The program begins with a high-level introduction to basic Data Science concepts as well as a discussion of soft/power skills that will be required: decision making, critical thinking, attitude, collaboration, communication, time and resource management and more. Throughout the course, students will practice being responsible for their code by practicing standard collaboration techniques. Ultimately, in this introductory segment, students will be taught common development methodologies.


In this segment, students will learn the basics of data types such as quantitative, discrete, continuous, and interval data. Then the students will explore measurement hierarchy, contingency tables, and bias. Focuses on the data types will support their programming throughout the remainder of the course.


In the statistics component of the course, students will be introduced to center and spread, mean, median, standard deviation, and random sampling. Then the students will learn more advanced statistical topics like confidence intervals.


Students will learn the popular spreadsheet Excel. Specifically, they will learn calculations, macros, graphing tools, and pivot tables. Students will then complete an Excel project for their own portfolios.


Students will be introduced to the Python programming language and will learn its syntax, commonly used data structures, as well as the basic structure behind its functions and methods. Emphasis will be placed on the implementation of functions and data structures.


Students will learn the fundamentals of object-oriented programming (00P) through a deeper dive into the Python programming language. Core OP concepts of objects, inheritance, and function overloading, instantiation, and methods will be taught through project-based learning.


The program will continue with intermediate Python topics and will pick up where Foundational Data Science left off. First, students will learn MatPlotLib and will continue their Python programming experience with Scikit-Learn.


In this segment students will learn more advanced Python topics such as Web Scraping and Sentiment Analysis. Then the students will focus on an advanced machine learning project.


At this point, students will dive into server-side database management by first learning how to work Structured Query Language (SQL) and how it is used to manage databases. Students will learn how to make basic and advanced queries as well as how to use SQL for reporting and manipulating data within a database. Finally, students will learn normalization tactics and how to model data.


Students will learn the R programming language. First, students will practice with intermediate topics such as Tibbles, ggplot2, importing and transforming data, and exploratory data analysis.


Students will complete a hands-on machine learning project. Students will then explore advanced R topics including Web Scraping.


To conclude the course, students will complete a capstone project and will present to the class.

Where is Tech Talent South’s Bootcamp for Data Science Located?

This program is offered online only so it is entirely remote.

Requirements to attend are as follows:

  • Must have unlimited access to a personal computer / laptop.
  • Must have unlimited access to the internet.

Careers for Graduates of Tech Talent South’s Data Science Bootcamp

Average U.S. Salary for a Data Scientist


    • $87,297: Current average annual salary in the US for an entry-level data scientist on Indeed
    • $104,236: Current average annual salary in the US for an entry-level data scientist on Glassdoor
    • (Last updated: April 12, 2022)

Current U.S. Job Openings in Data Science


    • 3,692: Number of “Data Analyst” jobs currently listed on on Indeed –
      806 of which are Remote positions.
    • 239: Number of “Data Scientist” jobs currently listed on Glassdoor –
      99 of which are Remote positions.
    • (Last updated: April 12, 2022)

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Check for Current Data Scientist Job Openings

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