Join our Data Analytics immersive bootcamp and get the hands-on skills you need to land a job in the growing tech industry. Intensive training in Python, SQL, Tableau, and statistics to become a Data Analyst.
DurationJoin our Data Analytics immersive bootcamp and get the hands-on skills you need to land a job in the growing tech industry. Intensive training in Python, SQL, Tableau, and statistics to become a Data Analyst. Study 9 weeks full-time, or 24 weeks part-time. No previous experience required.
Once you become an official Ironhack Data analytics student, you will be given 60 hours of online learning material focusing on command line, Git, Python, MySQL, and statistical analysis. To get you ready for learning Data analytics, this essential prework will familiarize you with the basics of programming and statistics necessary for the bootcamp.
Although you will learn these topics remotely before you arrive at your chosen campus, you won’t be far away from the resources of the Ironhack community. Make use of our Slack channel to connect with your peers and get help from expert academic staff. At the end of your prework, you’ll be ready for the fast pace on campus!
Miami saw significant growth in population in 2020, partly because remote work has allowed us to decide where to live, especially in the tech industry. Even though some industries such as hospitality and tourism are still affected by the pandemic.
The tech industry continues to thrive. The fact that Miami has no state tax is also making employees and companies relocate to the city. This seems ro be the perfect moment to make the change to tech!
This two-day course provides students with the knowledge and skills to analyze data with Power BI.
AcademyX's Power BI training will enable you to leverage Microsoft's powerful cloud-based Business Intelligence platform to analyze and visualize data.
This course covers the theory, design, and application of scientific and information visualization, including algorithm design and implementation.
Companies rely on data to help identify challenges, capitalize on opportunities and make timely business decisions that could materially affect their bottom line.
This course is an introduction to large-scale data analytics. Big Data analytics is the study of how to extract actionable, non-trivial knowledge from massive amount of data sets.
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