SDSU Global CampusData Science & Analytics Bootcamp

Launch Your Career in Under a Year

Live and Online Classes

Accelerated Education at
San Diego State University

Study data science and analytics.

SDSU Global Campus, in collaboration with ThriveDX, offers a virtual, hands-on training program designed by industry experts to support the professional growth of individuals of all backgrounds looking to enter the fields of data science and analytics. In less than a year, you can market yourself as a data scientist or analyst with the technical skills and hands-on experience employers require.

Gain Hands-on Experience

Train with the most in-demand technologies and tactics under the supervision of data scientists and analysts currently working in the field.

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Enter the Data Workforce

To help program completers secure a position as a data professional, we offer a comprehensive career services package that is inherent to our bootcamp experience.

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Interview
Prep

Our career services team helps learners go from beginner to professional in under a year. Access professional career-prep resources, such as resume development, job boards, LinkedIn profile building, and more.

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One-on-One
Career Services

Learners meet with a dedicated career coach to help them attain their career goals. Map out your professional path and hone in on the skills and practice you need to begin working in data science and analytics.

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Professional
Networking

Engage with our global network of hiring partners and forge connections with alumni and top businesses in the community. Explore the opportunities available to you as a budding data professional in the growing workforce.*

*Job and internship placement are not guaranteed.

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Job Placement
Assistance

We continuously build upon our community of hiring partners and business connections to provide internship placement assistance for our learners and further enhance their field experience.*

Build a Career in Technology

Train to become a versatile data professional equipped with the skills to identify problems and drive solutions. The Data Science & Analytics Bootcamp, offered at SDSU Global Campus, in collaboration with ThriveDX, provides the resources and support to help learners excel in the field, and enter the workforce in as little as one year.

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Hands-on Curriculum

Our comprehensive curriculum builds both data science and data analytics skills to create well-rounded, agile professionals. Utilizing cutting-edge technology, learners are challenged with simulation-based exercises.

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Expert Instructors

Online classes are hosted by industry-leading data scientists and analysts eager to train the next generation of data professionals to enter the workforce with advanced knowledge and real-world experience.

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Innovative Training

The program teaches learners how to compile and present data-backed solutions that bridge knowledge gaps in the workplace through data visualization and advanced machine learning techniques.

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Project-Based Learning

Learners complete three experiential projects that they can showcase as their portfolio. By the end of the program, expect to complete a data-driven visualization project, a query data set project, and a machine learning project.

Find out
what
courses you’ll take.

Download the
Course Catalog

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Program

Overview

30-Hour Introductory Course | 370-Hour Extended Program

Introductory Course

Learners will analyze the data-driven business world as they gain exposure to different career paths and industry tools. This course provides an accurate representation of the skills learners will acquire and the projects you can hope to complete should you choose to pursue the Extended Program.

SQL and Databases

In this course, learners can import data into databases, query the data, join tables together, filter and sort the resulting queries, create stored views and export the data to another format. Database design and learning how to manage databases are also explored.

Statistics and Probability

This course will aid in the building of a strong foundation in descriptive statistics, conditional probability, and advanced modeling techniques. After this course, learners can expect to approach real-world problems from an analytical perspective with confidence.

Data Storytelling

Course participants will learn visual concepts required to produce effective visualizations while also discerning between the psychological and anatomical components of data storytelling. By keeping a data story thread throughout their entire data-wrangling adventure, learners will frame their data goals with purpose.

Milestone Project 1: Building and Presenting Data Stories

Learners will demonstrate their ability to clean and manipulate a dataset and perform advanced statistical analysis using summary statistics, linear regression, and modeling. This milestone project allows learners to explore their skills in the areas of statistics, Excel, SQL, and data storytelling.

Python Programming

In this course, learners explore the fundamental concepts of programming and how to structure their analyses. Topics will include core programming concepts such as expressions, data types, variables, functions, loops, and arrays.

Data Wrangling

Learners expand on their programming skills as they explore a series of data analysis processes, including exploratory data analysis; sourcing, curating, and importing data; data cleansing; and data visualization. Additionally, industry-standard software will be used to automate data wrangling processes.

Visual Communications

Course attendees explore visual dynamics and principles to produce effective data visualizations that showcase the most important parts of data to stakeholders in a clear and simplified way.

Advanced SQL Programming

Building upon the skills learners gained in their previous SQL and Databases course, this course extends SQL programming skills by covering topics such as stored procedures, triggers, cursors, and query optimization.

Milestone Project 2: Data Integration, Preparation, Reporting and Presentation

Learners demonstrate their ability to build data pipelines and wrangle data into a usable format for downstream data visualization and analytics by presenting their reports to classmates. This milestone project focuses on developing the learner's ability to attain, transform, investigate, and present data throughout a data project life cycle.

Business Intelligence

This course teaches learners to build on visual communication concepts by demonstrating proficiency with popular industry tools and creating purposeful analyses and visualizations. Learners develop and apply best practices for reporting, graphs and charts, and dashboards in a way that can be applied in any business intelligence application.

Big Data

In this course, learners examine core concepts and methods used for big data and IoT, including characteristics of big data, data warehousing, data lakes, data virtualization, and cloud-based data infrastructure services. Learners will build upon their previous knowledge of Python by using PySpark to access big data to create analytics models.

Machine Learning

Learners get the chance to analyze a variety of use-cases within a business context for determining appropriate machine learning methods to apply and explore natural language processing, neural networks, and deep learning.

Applied Artificial Intelligence

After an introduction to AI and machine learning in the previous module, learners will explore a variety of pre-packaged AI cloud services offered by leading providers like Amazon. This class immerses participants into the real-world applications of Artificial Intelligence to begin understanding how AI works.

Milestone Project 3: Delivering Insights and Presentations

Learners present their data insights and visualizations by learning how to organize data visualizations around a goal and integrate a story arc to keep their audience engaged. This milestone culminates in a final project presentation that capitalizes on their data analysis, data storytelling, and presentation skills.

Career Services

Learners will get the opportunity to acquire the knowledge and skills to be successful in the digital job market and be prepared with the necessary tools to apply to the opportunities in the field.

Introductory Course
SQL and Databases
Statistics and Probability
Data Storytelling
Milestone Project 1: Building and Presenting Data Stories
Python Programming
Data Wrangling
Visual Communications
Advanced SQL Programming
Milestone Project 2: Data Integration, Preparation, Reporting and Presentation
Business Intelligence
Big Data
Machine Learning
Applied Artificial Intelligence
Milestone Project 3: Delivering Insights and Presentations
Career Services
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Introductory Course
30 Hours

Learners will analyze the data-driven business world as they gain exposure to different career paths and industry tools. This course provides an accurate representation of the skills learners will acquire and the projects you can hope to complete should you choose to pursue the Extended Program.

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SQL and Databases
30 Hours

In this course, learners can import data into databases, query the data, join tables together, filter and sort the resulting queries, create stored views and export the data to another format. Database design and learning how to manage databases are also explored.

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Statistics and Probability
36 Hours

This course will aid in the building of a strong foundation in descriptive statistics, conditional probability, and advanced modeling techniques. After this course, learners can expect to approach real-world problems from an analytical perspective with confidence.

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Data Storytelling
18 Hours

Course participants will learn visual concepts required to produce effective visualizations while also discerning between the psychological and anatomical components of data storytelling. By keeping a data story thread throughout their entire data-wrangling adventure, learners will frame their data goals with purpose.

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Milestone Project 1: Building and Presenting Data Stories
3 Hours

Learners will demonstrate their ability to clean and manipulate a dataset and perform advanced statistical analysis using summary statistics, linear regression, and modeling. This milestone project allows learners to explore their skills in the areas of statistics, Excel, SQL, and data storytelling.

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Python Programming
21 Hours

In this course, learners explore the fundamental concepts of programming and how to structure their analyses. Topics will include core programming concepts such as expressions, data types, variables, functions, loops, and arrays.

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Data Wrangling
40 Hours

Learners expand on their programming skills as they explore a series of data analysis processes, including exploratory data analysis; sourcing, curating, and importing data; data cleansing; and data visualization. Additionally, industry-standard software will be used to automate data wrangling processes.

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Visual Communications
18 Hours

Course attendees explore visual dynamics and principles to produce effective data visualizations that showcase the most important parts of data to stakeholders in a clear and simplified way.

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Advanced SQL Programming
30 Hours

Building upon the skills learners gained in their previous SQL and Databases course, this course extends SQL programming skills by covering topics such as stored procedures, triggers, cursors, and query optimization.

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Milestone Project 2: Data Integration, Preparation, Reporting and Presentation
3 Hours

Learners demonstrate their ability to build data pipelines and wrangle data into a usable format for downstream data visualization and analytics by presenting their reports to classmates. This milestone project focuses on developing the learner's ability to attain, transform, investigate, and present data throughout a data project life cycle.

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Business Intelligence
42 Hours

This course teaches learners to build on visual communication concepts by demonstrating proficiency with popular industry tools and creating purposeful analyses and visualizations. Learners develop and apply best practices for reporting, graphs and charts, and dashboards in a way that can be applied in any business intelligence application.

Icon
Big Data
30 Hours

In this course, learners examine core concepts and methods used for big data and IoT, including characteristics of big data, data warehousing, data lakes, data virtualization, and cloud-based data infrastructure services. Learners will build upon their previous knowledge of Python by using PySpark to access big data to create analytics models.

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Machine Learning
60 Hours

Learners get the chance to analyze a variety of use-cases within a business context for determining appropriate machine learning methods to apply and explore natural language processing, neural networks, and deep learning.

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Applied Artificial Intelligence
21 Hours

After an introduction to AI and machine learning in the previous module, learners will explore a variety of pre-packaged AI cloud services offered by leading providers like Amazon. This class immerses participants into the real-world applications of Artificial Intelligence to begin understanding how AI works.

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Milestone Project 3: Delivering Insights and Presentations
8 Hours

Learners present their data insights and visualizations by learning how to organize data visualizations around a goal and integrate a story arc to keep their audience engaged. This milestone culminates in a final project presentation that capitalizes on their data analysis, data storytelling, and presentation skills.

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Career Services
10 Hours

Learners will get the opportunity to acquire the knowledge and skills to be successful in the digital job market and be prepared with the necessary tools to apply to the opportunities in the field.

Test Your Knowledge

Industry-Recognized Certification Prep

Our data science and analytics curriculum was curated to offer each learner significant preparations for a handful of the industry’s most recognized certification exams.

IBM Data Analyst Professional Certificate

Intended for individuals who perform a data analytics role, this certification validates a candidate's ability to manipulate data and apply analytical and data visualization techniques to various data sets.

Microsoft Certified: Data Analyst Associate

This certification validates that you have subject matter expertise helping businesses using Power BI. It shows you can build scalable data models, clean and transform data, and enable advanced analytics capabilities.

IBM Data Science Professional Certificate

To demonstrate you can analyze data and communicate results to inform data-driven decisions, this certification explores project-based evaluations of your use of data science tools and data sets.

IBM Data Analyst Professional Certificate
Microsoft Certified: Data Analyst Associate
IBM Data Science Professional Certificate
IBM Data Analyst Professional Certificate

Intended for individuals who perform a data analytics role, this certification validates a candidate's ability to manipulate data and apply analytical and data visualization techniques to various data sets.

Microsoft Certified: Data Analyst Associate

This certification validates that you have subject matter expertise helping businesses using Power BI. It shows you can build scalable data models, clean and transform data, and enable advanced analytics capabilities.

IBM Data Science Professional Certificate

To demonstrate you can analyze data and communicate results to inform data-driven decisions, this certification explores project-based evaluations of your use of data science tools and data sets.

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Begin with the
Introductory Course

Explore the fundamentals of
data science and analytics.

To sign up for our Introductory Course,
schedule a call at the link below
or
reach out to an admission advisor
anytime at (619) 839-3030.

Program Tuition

Invest in a comprehensive, online training program at SDSU Global Campus, in collaboration with ThriveDX.

30-Hour Introductory Course

$500

370-Hour Extended Program

$15,500

Requirements

Internet access

Drive, ambition, and passion

Professional evaluation and admission exam

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