Through the program, participants will gain hands-on experience in the entire ML spectrum, including data wrangling, visualization, data exploration, algorithm selection, modeling, training, testing, and implementation.
This course is a 10-week targeted program that teaches applied skills in developing real-world machine learning (ML) solutions. Through the program, participants will gain hands-on experience in the entire ML spectrum, including data wrangling, visualization, data exploration, algorithm selection, modeling, training, testing, and implementation.
Participants will have the opportunity to master in-demand open-source tools in the Python data science ecosystem. After completing the program, participants will have the ability to generate actionable intelligence from diverse datasets (structured, text, web, and time series) for various practical applications.
The program is ideal for anyone interested in data science, machine learning, and artificial intelligence-related careers and professionals focused on creating data-enabled solutions utilizing the Python ecosystem.
It is an intensive and immersive professional development program. Through an innovative and successful curriculum structure, a novel delivery model, and an outplacement support structure, the program will prepare students for employment in the surging data science and machine learning fields.
The program has two components of core classroom sessions and applied lab sessions. Classroom segments cover the theory and applications of machine learning, along with hands-on learning through in-class projects. The lab sessions leverage the in-class acquired knowledge to build real-world ML models.
ECE offers a wide range of certificate programs and open enrollment courses (including fully online and hybrid options) for both professional development and personal enrichment. Areas of focus include emerging technologies – artificial and business intelligence, big data, and cybersecurity – as well as management fundamentals, information technology (IT) and graphic design, communications, Human Resource (HR) and project management, lean six sigma, academic and professional test preparation, health coach, English as a Second Language (ESL), and many more.
ECE’s Corporate Learning unit customizes course curricula and delivers both individual classes and comprehensive learning tracks directly onsite to a variety of clients across the country, including Fortune 100 companies, nonprofits, and school systems.
The Osher Lifelong Learning Institute (OLLI) at Emory extends lifelong learning via courses designed for adults ages 50+ who wish to stay mentally and physically active. The program boasts more than 1,300 current members while offering educational, cultural, and social programs that nourish the mind, body, and soul. Emory Continuing Education is a division of Emory Academic Innovation.
Students learn how to connect to a data source, transform data, organize a data model, create measures to summarize their data, and express their data using Power BI visualizations.
This course is intended as a continuation of our introductory-level courses PL-300: Microsoft Power BI Data Analyst and/or Excel BI Tools: Power BI for Excel Users in Power BI.
The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose.
This PL-300 Microsoft Power BI Data Analyst training course will help you learn the diverse methods and most promising practices in line with technical and business requirements for analyzing, modeling, and visualizing data with Microsoft Power BI.
The Microsoft Power BI certification will help you learn Power BI concepts as BI reports, dashboards, Power BI DAX commands, dashboard, and Power BI desktop layouts.
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