Data Analytics - Risk Management & Compliance - 2019 BEYA STEM Conference

February 7-9, 2019 | USA

Data Analytics positions in Risk Management & Compliance – 2019 BEYA STEM Conference. JPMorgan Chase & Co. is a proud sponsor and excited to attend the 2019 BEYA STEM Conference, Feb 7-9 in Washington, D.C. Please note hiring manager and recruiters from our Risk Management & Compliance functions will be on site to answer questions about opportunities and open roles we are looking to fill across the country. Our firmwide Risk Management & Compliance function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk & Compliance professionals bring and embracing an inclusive environment.

Spotlight

Data visualization has become an integral part of data science work flow. Hence, your main tool needs to have strong capabilities on both the fronts – data analysis as well as data visualization. Gone are the days when you could live with a tool which was good only in one of these. With this change in landscape, R has gained immense popularity because of its awesome data visualization capabilities. With a few lines of code, you can create beautiful charts and data stories. R has awesome libraries to create basic and more evolved visualizations like Bar Chart, Histogram, Scatter Plot, Map visualization, Mosaic Plot and various others. Here is the cheat sheet of popular visualization for representing data. You can keep this handy for your use.


OTHER PAST CONFERENCES

International Conference on Data Applications and Management

November 29-December 1, 2021 | UK

This conference reviews and discusses, the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology.

Leading with Big Data and Analytics: From Insight to Action

December 13-16, 2021 | USA

Leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges is not solely the responsibility of technology and data science specialists. Rather, it’s the responsibility of organizational leadership to understand and direct these approaches to achieve their business goals. This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, which will enable leaders to identify the challenges that analytics, machine learning, and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics in their organizations, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world practice.

World Data Summit

May 18-20, 2022 | Netherlands

By 2022, the global big data and business analytics market is expected to generate 274.3 billion U.S. dollars a year, according to Statista. While big data collection grows in geometric progression, only about 3 percent of it merges into the big data ecosystem. This research already highlights the challenge of finding useful data amongst the rest.

Data Science Salon

February 16, 2022 | USA

Data Science Salon will unite the brightest leaders in finance and technology across the nation in data science fields. It is the only industry conference that brings together specialists in the finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in AI and ML in the Enterprise through DSS podcasts, exclusive content, Webinars, and Live Training.

Spotlight

Data visualization has become an integral part of data science work flow. Hence, your main tool needs to have strong capabilities on both the fronts – data analysis as well as data visualization. Gone are the days when you could live with a tool which was good only in one of these. With this change in landscape, R has gained immense popularity because of its awesome data visualization capabilities. With a few lines of code, you can create beautiful charts and data stories. R has awesome libraries to create basic and more evolved visualizations like Bar Chart, Histogram, Scatter Plot, Map visualization, Mosaic Plot and various others. Here is the cheat sheet of popular visualization for representing data. You can keep this handy for your use.

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