DATA SCIENCE TRAINING
for a Career in Big Data
As the tech industry expands, the employment market for skilled data science professionals is growing rapidly. Complete your training for the most in-demand jobs in Data Science and Big Data in less than 8 months.
Data Science Training Program Powered by WOZ U
Learning delivery partners use powered by Woz training to deliver online data science training preparing you for industry-preferred certification exams. Tackle even the most daunting of data sets, transforming them into the fuel for industry innovation using computer science and applied mathematics theories and techniques such as the modeling and decision trees employed in Big Data and Machine Learning.
Data Science Skills
Data Science skills are in-demand across an array of industries. Training can help you learn them.
But, what skills can you expect to learn from our data science program?
SQL
Learn to effectively query existing databases for insights as well as creating your own databases.
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.
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.
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.
Available Now in Our Partner Schools
Through our network of accredited partner schools, you will receive Woz U curriculum created by industry experts and employers to enhance your career development.
Why is WOZ Learning Different
Data Science Courses
The study of data is about extracting, analyzing, visualizing, managing and storing data to create insights. These insights help the companies to make powerful data-driven decisions.
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.
Data Science Testimonials
Hear from past students how Woz U online software development courses has impacted their personal and professional development.
“I just graduated from the Data Science Program. Overall, I am very happy with the new skills I have and can use them to advance my career.”
–Amy Gerrish.
Junior Data Scientist,
Outlier
“Woz U instructors and mentors want nothing more than for me to succeed. They had my back from start to finish and can’t thank them enough.
If you are considering a career change, I highly recommend Woz U!”
–Kruz O.
Woz U Graduate
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