Data Analytics Certificate
October 7–April 16, Evenings, 6–9pm

Data Analytics is a process of extracting information from raw data and generating actionable insights. It’s one of the most sought-after skills in the IT (information technology) marketplace, with demand spanning multiple sectors such as healthcare, finance, retail, real estate, education, gaming, and more.

Data Analytics is about using data to make future decisions. It’s used to help companies solve problems, such as reducing risk, improving operations, or detecting fraud. Data Analytics also heavily emphasizes data visualization to communicate your findings to others.

• Master Data Analytics with Excel & SQL: Learn to leverage Excel’s advanced tools like Pivot Tables, VLOOKUP, and macros while developing essential SQL skills to retrieve, filter, and sort data from databases. Combine these skills to streamline workflows and manage large datasets efficiently.
  
  
• Automate & Visualize Data with Python & Tableau: Use Python to automate repetitive tasks, such as web scraping and reporting, and then transform your data into compelling visual stories using advanced Python libraries and Tableau. Build interactive dashboards and deploy your projects live to showcase your analytical expertise.
  
  
• Build Machine Learning Models: Use Python to clean, balance, and analyze your data with libraries like Pandas and scikit-learn. Apply machine learning algorithms to solve real-world problems, then evaluate and refine your models to ensure accurate predictions.
  
  
• Exclusive AI Development Bonus: As part of your certificate program, gain free access to the Python for AI course, where you'll learn to build AI-powered applications using Flask and OpenAI’s APIs. Expand your skill set and create innovative solutions that set you apart in the data analytics field.

Learn with Real-World Projects

This applied, project-based course prepares students to gather, wrangle, analyze and visualize data using various tools and technologies to help businesses in decision-making and strategy. Students will also have the opportunity to work on multiple real-world projects to advance their careers in analytics.

In this training, you’ll explore both predictive and prescriptive analytics by looking at case studies:

• Predictive analytics use regression models or forecasting techniques to examine past data to predict future outcomes.
  
• Prescriptive analytics help optimize decision-making with constraints with such tools as Scenario Manager and Solver.