This program is one of our most advanced and in-depth programs to date - touching upon countless related ideas and processes to provide an extremely comprehensive knowledge set for anyone seeking a career in this burgeoning field. Successful graduates will obtain an industry recognized Data Analytics Professional Certification.
The proliferation of data across all sectors of the global economy has given rise to one of the most in-demand, booming fields today: Analytics. Data is transforming and powering business everywhere—from hospitals and cities to higher education and corporations. As a result, workforce needs have shifted dramatically.
Companies are searching for qualified candidates who possess both a deep understanding of the mechanics of working with data, and the capacity to identify and communicate the data-driven insights that ultimately influence business decisions. This has sparked a hot hiring market—and it is getting hotter. With more than 2.3 million job openings today, experts predict that by 2021, that number will swell to more than 2.7 million. And because qualified professionals are difficult to find, these analytics jobs pay quite well.
This Certificate level program was designed specifically for those who have little to no experience. Core courses include Business Data Analysis – Introduction, Computer Science 101: Master the Theory Behind Programming, Data Science Bootcamp, MySQL Bootcamp – Complete, and Data Analytics Professional Certification Prep + Exam.
Got skills already? Expand your program to prepare for and obtain even higher-level competency in advanced applications such as machine learning and artificial intelligence (AI), which encompasses fields such as preference analysis, Natural Language Processing (NLP), and image processing.
Additional Electives include Python, Data Analysis with Pandas and Python, Statistics for Data Science and Business Analysis, Power BI (Microsoft), Probability & Statistics Essentials, Data Science & Deep Learning for Business, Python for Data Science and Machine Learning, DJANGO & Python, Data Wrangling & Visualization with Python, Java, R Programming For Data Science, Applied Statistical Modeling for Data Analysis in R,im t SQL & Data Base Design + Postgre SQL, Data Analysis Essentials Using Excel, Deep Learning Prerequisites: The Numpy Stack in Python, C++, GIS & ArcGIS: ArcMap, ArcCatalog, ArcGlobe & ArcScene, LabVIEW, MATLAB, Root Cause Analysis and the 8D Corrective Action Process, Statistics for Data Analysis Using Excel, Statistics Foundations with Minitab, Tableau, Git, Business Analysis Modeling Skills & Techniques (with Visio), Business Analysis: Data Flow Diagrams to Visualize Workflows, Business Analyst: Project Management Techniques and Tools (with Visio), Project Management Essentials, Microsoft Access, Microsoft Excel Dashboards and Data Analysis, Advanced Excel Formulas & Functions, Excel VBA and Macros, plus many more including basic Microsoft Office courses in Word, PowerPoint, Outlook, OneNote and more.
Whether you are a displaced service industry worker or an experienced IT user, our programs can be customized to provide the skillset required to obtain one of the many projected open positions in this field. Learn data analytics and enter a path to a high-demand profession that will never lose importance, become obsolete, or decrease in value to companies - regardless of their size or industry.
Our counselors are available to help put together a customized program to meet your needs. For more information, please refer to our (Big) Data Analytics & Business Intelligence page, view the brochure, or contact us.
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