KU Data Analytics Boot Camp
2020-07-13 23:30 - 2020-07-14 02:30 UTC | Online
At the University of Kansas Data Analytics Boot Camp, we are committed to preparing our students for success. With the rise of data in today's economy, our program focuses on teaching students the practical and technical skills needed to analyze and solve complex data problems.

This part-time program covers a broad array of technologies like Excel, Python, JavaScript, SQL Databases, Tableau, and more over the course of 24 intensive weeks. With convenient evening and weekend hours, you can advance your skill set even if you're currently employed or in college.

Is this program for you?

Do you want to be part of the data revolution? Are you creative, curious, ambitious and most of all hard working? If yes, or if any of the following describe you, we think KU Data Analytics Boot Camp just might be the opportunity you're looking for:

You're a data professional looking to further your career by gaining a new set of technical skills.
You're currently in a business where data is crucial to the bottom line and want to make a bigger impact.
You want to learn more about visualizing social, consumer, or popular trends.
You aspire to transition into the field of government, media, or healthcare and are looking for a way to do it.
You're a full-time student with the desire to maximize your skills and grow your knowledge.

In-demand skills you'll gain:

This fast-paced, dynamic program covers the specialized skills for the booming field of data, including: Advanced Excel, Python, JavaScript, HTML/CSS, API Interactions, Social Media Mining, SQL, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, and more.

You'll learn from skilled instructors and gain real-world experience by collaborating with your peers on complex projects. Not only that, but you will also build a comprehensive portfolio along the way, giving you the confidence you need to tap into the industry. The curriculum will dive into the foundational skills for data analytics and visualization, including:

Intermediate Excel

Pivot Tables
VBA Scripting

Fundamental Statistics

Modeling
Forecasting

Python Programming

Python 3
NumPy
Pandas
Matplotlib
API Interactions

Databases

MySQL
MongoDB
ETL

Front End Web Visualization

HTML
CSS
Bootstrap
Dashboarding
JavaScript Charting
D3.js
Geomapping with Leaflet.js

Business Intelligence Software

Tableau

Advanced Topics

Big Data Analytics with Hadoop
Machine Learning
