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:
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Professionals who want to acquire new skills in the areas of data analytics and data visualization
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Accounting, IT and engineering professionals
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Marketing professionals
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Anyone who reports on business processes
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Anyone responsible for benchmarking or strategy development
What You Will Learn:
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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.
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Translate data into competitive insights in the workplace.
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Build a strong portfolio to showcase your knowledge and skills.
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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:
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Employ statistical analysis to model, predict, and forecast trends
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Expertly build VBA scripts in Excel to automate tedious manual processes
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Utilize real-world data sources to showcase social, financial, and political phenomena
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Create Python-based scripts to automate the cleanup, re-structuring, and rendering of large, heterogeneous datasets
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Interact with RESTful APIs using Python Requests and JSON parsing techniques
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Create in-depth graphs, charts, and tables utilizing a wide-variety of data-driven programming languages and libraries
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Use geographic data to create visually exciting, interactive, and informative maps
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Build custom interactive data visualizations using D3.js and other JavaScript libraries
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Write SQL commands to perform Create, Read, Update, and Delete commands
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Use advanced SQL and Mongo techniques to combine multiple datasets into one so as to create even more impressive and comprehensive databases
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Create basic interactive websites and applications to show your work to the entire world
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Work with and lead small-scale teams in order to create applications and visual datasets
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Scrape information from web pages in order to collect data from a wide-variety of online sources
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Communicate and glean new business insights using enterprise-grade tools like Tableau
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Analyze social media trends on Twitter and Facebook using automated programs
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Work independently or in a group on complex data-mining projects
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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