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.
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.
Data Science is a field that is here to stay. As the amount of Data continues to grow, the need for people who understand and provide value from Data also grows. With that said, one needs to keep learning and building on their skill set to stay relevant in the industry. As a Data Scientist, you should be able to provide value and solve problems effectively. Learn from Dr. Prashanth how to keep learning and providing more value.
Dr. Prashanth is the founder and managing principle at DBP-Institute. He is also an Expert Council Member at the Forbes Technology Council, the author of 2 popular Data Science books, and an adjunct professor at IE Business School. His work has been published in popular journals such as MIT Sloan Management Review, CFO.University, INFORMS, and Forbes.
Learn from Brent dykes and his experience of working in enterprise analytics for the past 16 years as an analyst, consultant, manager, and evangelist. Throughout the journey, he worked with cutting-edge analytics vendors (Omniture, Adobe, and Domo) and a broad base of Global 2000 companies, including many industry leaders such as Nike, Amazon, Microsoft, and Comcast.
Data-driven marketing is the approach of optimising brand communications based on customer information. With data-driven advertising, you can gain more insights into how buyers engage with your brand. You have the ability to create highly-targeted campaigns with personalized messaging to resonate with consumers.
Learn from Brent dykes and his experience of working in enterprise analytics for the past 16 years as an analyst, consultant, manager, and evangelist. Throughout the journey, he worked with cutting-edge analytics vendors (Omniture, Adobe, and Domo) and a broad base of Global 2000 companies, including many industry leaders such as Nike, Amazon, Microsoft, and Comcast.
Being in the Data Space is particularly exciting, no matter which part you're working in - Business Intelligence or Data Management. Every part of a company - the marketing team, financial analysts, legal team and all other important people get value from Data. The beautiful part about Data Management, Meta Data and Reference data is that the SAME Data can be a part of the solution over different problems in an organization. Data as an asset gains value by the amount of times it is re-used!
As a Data Scientist, don't just interact with other Data people. Go talk to business owners, figure out what problems need to be solved. Every organization has problems and Data Management is the foundation for approaching them efficiently.
Data Management is the foundation of digital transformation and the importance of master data, reference data and metadata is immense in this field. As a business executive, you need to understand the necessity for proper data management. Data management protects an organization and its employees from data losses, thefts, and breaches with authentication and encryption tools.
As a Data Scientist, you can use a few techniques to tell Data Stories and convey the importance of good data management practices. Learn how to leverage the 3Vs of Data Storytelling – Vocabulary, Voice & Vision to tell your data story with Scott Taylor - The Data Whisperer.
Data Science is a vast field and working in a data environment requires communication between teams working on different areas. Mathematics is the language understood and spoken by data scientists for effective communication of ideas and information. Dive deep into the world of a Data Science and learn how real world problems are approached, analysed, and solved using mathematics and statistics.
To understand the WHY, you would go to the statistical algorithms, to predict accurately, you would go to your Machine Learning models but to be able to use Data of high quality and produce relevant analysis, a good understanding of the area of probability, statistical analysis and methodology, inference, randomness is extremely important.
What is the definition of Value creation for a business? Data in itself is a liability, and Data Scientists can’t inherently provide value without understanding the problem. Communication between the business owners, stakeholders and data scientists is extremely important to engineer value and come up with effective solutions. Trying to solve a data problem in isolation of the business will never be valuable.
Data is HARD! The field of Data Management requires significant improvement in the quality of Data used and spend less time fine tuning the algorithms. Improving Data and making more it more transparent will result in greater efficiency of AI/ML models. Data Scientists need to approach the problem with a value creation and realisation perspective rather than looking at it from a Data perspective to find the out what Data is truly Gold.