Data Science Bootcamp

Learn the Skills You Need For A Career In

Learn Data Science online to tackle even the most daunting of data sets and transform them into the fuel for industry innovation. You’ll utilize computer science and applied mathematics theories and techniques, such as the modeling and decision trees employed in Big Data and Machine Learning.

Program inf0

33 Weeks

10 courses

Total Cost: $8,995*

*Only if paid up front in full

Key Skills You'll Learn

SQL
Learn to effectively query existing databases for insights as well as creating your own databases.
 
Statistical Programming in R
Statistics are a breeze with R. Learn how to wrangle and visualize data in R, as well as analyze data using advanced statistics.
 
Python Programming
Learn the basics of Python programming. Its easy-to-learn syntax will help you create effective data structures using packages like pandas and numpy.
 
Tableau
Point-and-click functionality easily wrangles data and creates beautiful visuals.
 
Big Data
Effectively manage large datasets using cloud computing and understand the complications with the 4 Vs of big data.
 
Machine Learning
Use Python to perform many machine learning algorithms, like k-nearest neighbors, random forests, and natural language processing.

Program Details

SEU Tech’s Data Science Bootcamp will prepare you for a career in the ever-growing and in-demand field of data science in as little as 8 months! 

Here’s what you’ll do:

  • Focus on the fundamentals of statistics, databases, and programming in the context of data science, while incorporating real-world scenarios. 
  • Learn data wrangling and the visualization of data, metrics and data processing, and machine learning and modeling. 
  • Analyze and handle large-scale and complex data sets in order to discover relationships and insights within data. 
  • Data Scientist
  • Big Data Analyst
  • Data Engineer
  • Data Journalist
  • Machine Learning Engineer
  • Database Administrator
  • Business Analyst
  • Financial Analyst

Exclusive for Data Science Program students, you can count on career service assistance including resume support, interview training, and help with identifying possible career options.

To make our program even more affordable, you have two payment options! 

  • Pay in installments: $595 initial payment + 6 interest-free monthly payments of $1400. Total cost is $8,995. 
  • Or, prepay in full to get a discount, and pay only $8,100.

Bootcamp Courses

Learn data science fundamentals to get you started, like descriptive and inferential statistics and probability. Learn the basics of navigating spreadsheet programs like MS Excel and perform z-tests, t-tests, Chi-Squares, and data visualizations.

Think like a programmer and start programming with the statistical software package R. Become familiar with R practices: complete t-tests, simple linear regression, and correlations while learning data types and data structures for loops. You will use the data wrangling library dplyr and data visualization library ggplot2.

Grasp the principles of creating and monitoring metrics (KPIs) and business best practices for applying them; theory and application of statistical process control; survey development, measurement reliability and validity utilizing agile development and Waterfall project management.

Perform data wrangling and complete data recoding in Python and R. With clean data, create insightful visual representations like infographics using Tableau, R, and Python.

Build upon statistics fundamentals in Python, to learn advanced techniques in Python such as t-tests, Chi-Squares, and correlations. In R, you will perform Analyses of Variance (ANOVAs), Multivariate Analyses of Variance (MANOVAs), and covariate work. Deeply understand statistical power.

Breakdown the theory and applications of machine learning, focusing on clustering, random forests, decision trees, and more in Python. Instruction in other useful modeling practices in R and Python, such as linear regression, non-linear regression, and logistic regression is also provided. Plus, learn Natural Language Processing in Python.

Learn about the Hadoop ecosystem while using Hive, Pig, and Spark for big data analytics. For additional cloud computing knowledge, utilize Amazon Web Services.

Learn the foundation of building a database including query databases and join tables in MySQL. In addition, learn to query documents in NoSQL using MongoDB.

Get the key data science programming language: Python. Explore algorithms, data types, Boolean logic, data structures, best practices, debugging, and object-oriented programming. Databases master extracting and organizing data using SQL and NoSQL databases.

Pick real-world data of interest and questions to answer with that data. Practice Agile teamwork in wrangling, mining, and analyzing data for a completed project published on Kaggle and GitHub.

Classes begin every 3 weeks! Click the Apply Now button below for start date options.​

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Questions?

Send us an email at SEUtech@seu.edu.