Data Analytics Curriculum

If you want to enter the field of Data Analytics, it can be difficult to find where to start. Our curriculum is designed to provide you with a solid foundation in the core technical skills necessary to advance your career in the field. Students will learn brand new skills and be challenged to find solutions to difficult real-world problems in ways that demonstrate these new abilities. By the time you complete this course, you will have a professional portfolio ready to impress future employers.

Data Science & Visualization

Module 1: Excel Crash Course Weeks 1-2


Description:

Learn to do more with Microsoft Excel! This module covers advanced topics like statistical modeling, forecasting and prediction, pivot tables and VBA scripting. You will even learn how to model historic stock trends – and, hopefully, how to beat the market!

What You Will Learn:

  • Microsoft Excel
  • VBA Script
  • Statistics Modeling

Module 2: Python Data Analytics Weeks 3-9


Description:

Gain a strong foothold in one of the fundamental programming languages of today. In the course of this module, you’ll gain deep proficiencies with core Python; data analytic tools like NumPy, Pandas, and Matplotlib; and specific libraries for interacting with web data like Requests, BeautifulSoup, and Tweepy.

What You Will Learn:

  • Python, APIs
  • JSON, NumPy
  • Pandas, Matplotlib
  • Beautiful Soup, Tweepy

Module 3: Databases Weeks 10-12


Description:

Dive deep into the most prolific database languages: SQL and NoSQL. Work with MySQL and MongoDB to organize data into well-structured, easily retrievable formats.

What You Will Learn:

  • SQL
  • NoSQL
  • MySQL
  • MongoDB

Module 4: Web Visualization Weeks 13-19


Description:

Building visualizations are of little benefit without a way to communicate the message. In this module, you’ll be learning the core technologies of web development (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:

Bring everything that you have learned in the class altogether to create an impressive data-visualization application with a small team! 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

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