Live Chat
Rutgers Data Science Curriculum
Rutgers Data Science Bootcamp teaches highly applicable skills for data analysis and visualization that can benefit professionals and companies in any industry.
It’s a fact: Companies care about what you can do, not what you say you can do. For that reason, our curriculum teaches you how to put what you’ve learned to work on real-world data analysis projects, from visualizing bike-sharing data in New York City to mapping earthquakes worldwide in real time. Our students learn how to navigate, engineer, and translate complex data systems into useful resources that employers need.
Data Science & Visualization
Module 1: Excel Crash Course Weeks 1-2
Description:
Learn to do more with Microsoft Excel. In this module we’ll cover advanced topics like statistical modeling, forecasting and prediction, pivot tables, and VBA scripting. You’ll even learn to model historic stock trends — and hopefully, learn to beat the market!
What You Will Learn:
- Microsoft Excel
- VBA Script
- Statistics Modeling
Module 2: Python Data Analytics Weeks 3-8
Description:
Gain a strong foothold in one of today’s fundamental programming languages. In the course of this module, you’ll gain deep proficiencies with core Python, data analytic tools like NumPy, Pandas, Matplotlib, and specific libraries for interacting with web data like Requests and BeautifulSoup.
What You Will Learn:
- Python, APIs
- JSON, NumPy
- Pandas, Matplotlib
- Beautiful Soup
Module 3: Databases Weeks 9-13
Description:
Dive deep into the most prolific database languages: SQL and NoSQL. Work with MySQL and MongoDB to organize data into well-structured and easily retrievable data formats. Work on a case study to combine data from different sources into one database.
What You Will Learn:
- SQL
- NoSQL
- MySQL
- MongoDB
- ETL Process
Module 4: Web Visualization Weeks 14-19
Description:
Building visualizations is of little benefit without a way to communicate the message. In this module, you’ll learn how to use the core web development technologies (HTML, CSS, and JavaScript) to create new and interactive data visualizations that you can share with everyone on the web!
What You Will Learn:
- HTML, CSS
- JavaScript, AJAX
- D3, Leaflet
Module 5: Advanced Topics Weeks 20-23
Description:
By program’s end, you’ll be immersed in new and in-demand topics like Tableau, Hadoop, and Machine Learning.
What You Will Learn:
- Tableau
- Hadoop
- Machine Learning
Module 6: Final Project Week 24
Description:
As part of a small team, you’ll draw upon everything you have learned in the program to create an impressive data visualization application. Get creative and come up with something cool to show off to the whole world!
What You Will Learn:
- Dreaming up something fantastic and pushing the bounds of reasonable and achievable
5 Key Skills of a Data Scientist
If you’re thinking about moving into the booming field of data, don’t be caught off guard when considering what skills you should have under your professional tool belt. Since data science is a newly celebrated territory, here are a few key skills to help clarify what you’ll need to be successful in the field. You can also check out our post on the Top 5 Resources for Aspiring Data Scientists to see the type of tools data scientists can use for
Our Guide to Conducting a Successful Job Search
You’ve worked your tail off to get to this point, but you realize you don’t even know where to begin. Starting a new job search is intimidating and overwhelming to say the least, but believe it or not, there are right and wrong ways to go about it. We’ve come up with a few pointers to help get you one step closer to landing your dream job. Tip #1: Instead of mass-applying to companies on job