Washington University Data Analytics Boot Camp
Over the course of the past decade, the explosion of data has transformed nearly every industry known to man. Whether it’s in marketing, healthcare, government, or activism -- the ability to translate data into insights has quickly become a highly in-demand skill by all. The Washington University Data Analytics Boot Camp is a part-time 24 week program that will empower you to gain the knowledge and skills to conduct robust analytics on a host of real-world problems.
The program is designed to fit into your life, whether you’re employed or attending college full-time, with convenient weekend and evening sessions. The program is rigorous, fast-paced, and focused on the practical technical skills needed to solve data problems. Throughout the course, you’ll be gaining proficiencies on a host of marketable technologies like Advanced Excel, Python, JavaScript, (D3.js, Leaflet.js), HTML/CSS, API Interactions, Social Media Mining, SQL, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub and more. Plus, you’ll have an impressive Professional Portfolio and the confidence you need to succeed in the data driven economy.
Who Should Enroll:
-
Professionals who want to acquire new skills in the areas of data analytics and data visualization
-
Accounting, IT and engineering professionals
-
Marketing professionals
-
Anyone who reports on business processes
-
Anyone responsible for benchmarking or strategy development
What You Will Learn:
-
Learn Advanced Excel, Python, JavaScript (D3.js, Leaflet.js), HTML/CSS, API Interactions, Social Media Mining, SQL, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, and more.
-
Translate data into competitive insights in the workplace.
-
Build a strong portfolio to showcase your knowledge and skills.
-
Complete projects using real data sets from the areas of finance, healthcare, government, social welfare and more.
Learning Outcomes:
By the time you graduate, you can expect to be able to:
-
Employ statistical analysis to model, predict, and forecast trends
-
Expertly build VBA scripts in Excel to automate tedious manual processes
-
Utilize real-world data sources to showcase social, financial, and political phenomena
-
Create Python-based scripts to automate the cleanup, re-structuring, and rendering of large, heterogeneous datasets
-
Interact with RESTful APIs using Python Requests and JSON parsing techniques
-
Create in-depth graphs, charts, and tables utilizing a wide-variety of data-driven programming languages and libraries
-
Use geographic data to create visually exciting, interactive, and informative maps
-
Build custom interactive data visualizations using D3.js and other JavaScript libraries
-
Write SQL commands to perform Create, Read, Update, and Delete commands
-
Use advanced SQL and Mongo techniques to combine multiple datasets into one so as to create even more impressive and comprehensive databases
-
Create basic interactive websites and applications to show your work to the entire world
-
Work with and lead small-scale teams in order to create applications and visual datasets
-
Scrape information from web pages in order to collect data from a wide-variety of online sources
-
Communicate and glean new business insights using enterprise-grade tools like Tableau
-
Analyze social media trends on Twitter and Facebook using automated programs
-
Work independently or in a group on complex data-mining projects
-
Understand the basics of troubleshooting and enhancing legacy code
Prerequisites
No programming experience is required. It is recommended that applicants hold a Bachelor’s Degree or have at least two years of experience in business, management, finance, statistics, or a related field.
Click here to get more information about the Data Analytics Boot Camp