Data Analytics Program

Imagine you had a clear, step-by-step path to follow to become a data analyst. Maybe you are a complete beginner who wants a fulfilling new career. Maybe you already have some analytical experience but aren’t quite job-ready, or perhaps you want to learn data analytics in order to excel in your current career. If you identify with any of the above, then no more “maybes”: Make it happen with our Data Analytics Program.

What You’ll Learn

• Preparing and Analyzing Data: Learn how to interpret business requirements to guide your data analysis and begin developing and designing your data project.
• Data Visualization & Storytelling: Explore the different types of data visualizations and what they can be used for, as well as some basic visual design principles to ensure the visualizations you create are accessible and easily interpretable.
• Databases & SQL for Analysts: Develop database-querying skills while mastering SQL, the industry-standard language for performing these tasks in the real world.
• Python Fundamentals for Data Analysts: Get to grips with Python, the go-to language used by data analysts to conduct advanced analyses.
• Exploratory Data Analysis & Dashboards: Learn the different stages of exploratory data analysis and how to create interactive dashboards.
• Data Mining & Ethics: Consider issues of data bias, data privacy, and data security. Then get introduced to the worlds of big data analysis, machine learning, and data mining.

Job Guarantee

• Work with a mentor who has over 5 years of industry experience and a tutor for your day-to-day feedback.
• Build an impressive portfolio out of the real-world project you complete on the program.
• Receive tailored coaching from our Career Services Team to ensure you stand out at interviews.
• Land a job as a data analyst within 180 days of graduating from the course – or your money back.

Admission Requirements

• The motivation to transform your career: This program requires commitment as it takes about 420 hours to complete. You should be prepared to set aside at least 15 hours per week to study.
• A computer (Mac, PC) and an internet connection.