Download the
Course Catalog
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.
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.
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.
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.
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 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.
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.
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.
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.
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
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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
To learn more about the Loyola University Digital Skills Bootcamps, you can call our advisors at (504)-224-7426 or by filling out the form below.
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