Live & Online Classes
Accelerated Education at CSULB

Study data science
and analytics.

CSULB 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.

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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.

Build a Career
in Technology

Train to become a versatile data professional equipped with the skills to identify problems and drive solutions.
With the resources and support to help you excel in the CSULB Data Science & Analytics Bootcamp, you can
enter the workforce in as little as one year.

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.

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.

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.

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.

Enter the
Data Workforce

To help program completers secure a position as a data professional, CSULB offers a comprehensive career services package.

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.

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.

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.

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.*

* Job and internship placement are not guaranteed.

Find out what courses you’ll take.
Download the
Course Catalog

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Program Overview

30-Hour Introductory Course
| 376-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.
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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.

Icon

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.

Icon

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.

Icon

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.

Icon

Milestone Project 1: Building and Presenting Data Stories

9 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.

Icon

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.

Icon

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.

Icon

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.

Icon

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.

Icon

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

9 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.

Icon

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.

Icon

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.

Icon

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

12 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.

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.

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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 562-359-4787.

Program Tuition

Invest in a comprehensive, online training program at CSULB.

30-Hour Introductory Course

$500

376-Hour Extended Program

$15,500

Requirements

Internet access

Drive, ambition, and passion

Professional evaluation and admission exam

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