There’s no one-size-fits-all answer here, but generally, data scientists spend about 70% of their time on data wrangling, which is the phase of the data science pipeline that focuses on gathering, cleaning, and preparing data for use. Another 30% of their time is spent on model development, and the remaining time is spent on post-deployment efforts like upkeep, visualizations, storytelling, etc.
You’ll graduate with a full technical portfolio and professional portfolio. You’ll have a busy GitHub, Kaggle, and Data.World profile, as well as a number of projects from the classroom like visualizations, cleaned data sets, reports, presentations, models, and more. You’ll also complete a real-world capstone project, which will be great to present to employers.
We’re focused on helping graduates find jobs as data scientists! But depending on your background and what you like, you can also find work as a data engineer, data analyst, machine learning engineer, and related roles.
Data science is everywhere, including cyber security, SaaS, banking, and retail. Big companies like USAA, Accenture, HEB, and Booz Allen Hamilton work in this realm, as do smaller agencies like Quickpath Analytics.
Most graduates will work as entry to mid-level Data Scientists. Depending on background experience and interest, they may also focus on specific sections of the data pipeline, like Data Engineering or Machine Learning Engineering.
The average salary for data scientists across experience levels in San Antonio is about $110,000. At an entry-level from our program, we project initial earnings to range between $65-$80K, depending on background experience.
You’ll graduate with our Certificate of Completion, which is like our diploma. However, we believe (and our employer partners agree) that what matters is what people can do — not what grade, diploma, or label they have. What you’re really graduating with is a new skillset and a portfolio to show off to employers!
Yes! As an alum or staff member, if someone you refer completes 75% of our data science program, we’ll give you $500. Make sure they put your name on their application, or you won’t get credit!
In an effort to continue cultivating inclusive growth within the tech industry, we are now offering an exclusive Women in Tech referral program to Codeup alumni. If a woman you refer completes 75% of our data science program, we’ll give you $1000. Make sure they put your name on their application, or you won’t get credit!
*Women in Tech referral program cannot be used in combination with any other existing referral or promotion
The data science toolkit is constantly changing, and varies shop by shop, but will likely include: Python (and packages like Sci-kit Learn, Pandas, and Seaborn), SQL, R, Tableau, Hadoop, Hive, Jupyter Notebooks, and Github, all of which you’ll learn at Codeup!
At a high level, we cover the data science pipeline/process, relevant tools & technologies, modern methodologies, example projects, and important questions. More specifically, we have 16 modules: Fundamentals, Statistics, SQL, Python, Regression, Classification, Clustering, Time Series Analysis, Anomaly Detection, NLP, Distributed Machine Learning, Advanced Topics, Storytelling, Domain Expdertise Development, Career preparation, and a Capstone Project. To view our full curriculum, click here.