Important Announcement: Collaboration with Art of Working and Incluzon. (AOW: https://www.artofworking.co.in/) The people at ‘Art of Working' help support professionals in living upto their potential and bringing success to their career. 'Art of Working' coaches, trains and supports working people, in achieving better career growth, productivity and overall better work life. One of their mottos is AOW is the new WOW. (Incluzon: https://www.incluzon.com/) They aim to create a Truly Inclusive Workforce. Their platform is designed to democratize the entry-level workforce hiring process and mitigate bias by increasing the visibility of opportunities and talent and bringing the skill gap using an ethically constructed AI. Their goal is to create A platform where India's best talents meet Great Opportunities.

The Future of Data Science with Vijay Krishna Menon

A Career in Data Science is highly desirable by many in Singapore and other countries. Vijay is currently working as a Principal Data Scientist and is a data science unicorn with over 16 years of academic and industrial problem solving, research and teaching experience. He is trained in computer science and multidisciplinary sciences and has a great deal of aptitude for programming and an ineffable understanding of mathematics and statistics that enables him to visualise and envision knowledge generation from data to achieve valuable insights. Learn more about the responsibilities, work-life balance, innovations, and perks of pursuing a Career in Data Science in Singapore.

Creativity is an extremely important attribute for any value-adding Data Analyst. Being a Data Analyst is not just about reporting insights, it is more about using your creative side to explore data, communicating and learning from your team, and creating value for the business.  Matt’s Analytics career began in 2004, and over the years he’s learned and developed his Analytical and leadership skills at a handful of companies while making his way up the corporate ladder. He believes the world needs more analytical thinkers so He founded TMB Analytics with the intent to change the world through data, one Analyst at a time. Now, as a VP in the space, he mentors passionate Analytics professionals and creates courses and content that greatly benefits people new to the field.

Learn the art of Networking like a pro and maximizing the opportunities to boost your career with Matt Brattin. Networking and continued learning is extremely important to stay engaged in the ever-growing field of Data. Today, there are countless platforms that allow you to have meaningful connections with people. Listen now to explore some amazing networking platforms and the career advice from Matt.  Matt’s Analytics career began in 2004, and over the years he’s learned and developed his Analytical and leadership skills at a handful of companies while making his way up the corporate ladder. He believes the world needs more analytical thinkers so He founded TMB Analytics with the intent to change the world through data, one Analyst at a time. Now, as a VP in the space, he mentors passionate Analytics professionals and creates courses and content that greatly benefits people new to the field.

Exploring the use of Data in Biomedical Genomics with Dr. Sumaiya Sande. She pursued her Doctorate in Statistics from the National University of Singapore and also worked as a research scholar and graduate teaching assistant for numerous courses in the field of Data Science and Statistics. Currently, she is working as a Data Scientist and will be sharing her experience of working in different fields and the use of data in her roles on The Datapreneur Podcast today.

Machine learning or ML is the study of computer algorithms that automatically improves with time by using Data. Machine learning algorithms create models from sample data commonly known as training data in order to output predictions or sometimes make decisions without supervision or being explicitly programmed to do so. Dr. Ricardo Silva is a professor in the Department of Statistical Science and Adjunct Faculty of the Gatsby Computational Neuroscience Unit at University College London (UCL). Professor Ricardo got his PhD from the the Machine Learning Department at Carnegie Mellon University. He then spent two years at the Gatsby Computational Neuroscience Unit as a Senior Research Fellow, and one year as a postdoctoral researcher at the Statistical Laboratory in Cambridge. Learn about Machine Learning, Artificial Intelligence, and the many other popular terms in the field of Data Science.

Skilled Data Analysts are some of the most sought-after professionals in the world. With an ever-growing demand, the supply of people who can excel at this job is extremely limited. Therefore, Data Analysts earn high salaries and excellent perks. Further, common career paths for data analysts include moving into management positions. You can start out as a Data Analyst and then advance to senior-level analyst, analytics manager, director of analytics, or even chief data officer (CDO). Henry Sumner is a professional Data Scientist with almost a decade of industry experience. He completed his bachelors degree in computing for business which was focussed on combining the fields of statistics, computer science and problem solving. He has been working as a Pricing Analyst and now holds the position of a Senior Analyst. His interests include big data and its increasing prevalence in society. His final year dissertation was based on what retailers must do to survive the exponential growth of data and the pressures that this change will place upon businesses everywhere.

Deep learning is a field of machine learning, and neural networks make the foundation of deep learning algorithms. Deep learning is a powerful set of techniques for learning in neural networks which are a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data. Advitya has been named in the “25 under 25: Top Data Science Contributors and Thought-Leaders” list by 'The Data Standard' and is a Data Science graduate from UC San Diego. He is working at Microsoft as a Machine Learning Engineer and is a part of the prestigious Microsoft AI Development Acceleration Program (MAIDAP). He also pursued research in the area of Deep Learning Systems as an undergraduate student and has been the recipient of several academic and research awards, nominations, and publications.

Pursuing a Data Science major in an undergraduate degree is one of most popular and in-demand majors in today's workforce. Advitya Gemawat speaks about his experiences, learnings, internships and research opportunities at the University of California San Diego. A Data Science major consists of combination of Mathematics, Computer Science and Statistical courses along with numerous super interesting Data Science elective courses specialising in niche areas.  Advitya has been named in the “25 under 25: Top Data Science Contributors and Thought-Leaders” list by 'The Data Standard' and is a Data Science graduate from UC San Diego. He is working at Microsoft as a Machine Learning Engineer and is a part of the prestigious Microsoft AI Development Acceleration Program (MAIDAP). He also pursued research in the area of Deep Learning Systems as an undergraduate student and has been the recipient of several academic and research awards, nominations, and publications.