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PODCAST · business

The Datapreneur Podcast

by Uttkarsh Kohli

The Datapreneur Podcast aims to teach you about the importance of Data and Entrepreneurship in the 21st century. Starting from simplified explanations of the basics to detailed conversations with Professors, CEO’s, Best Selling Authors and Industry Professionals.

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Episodes

  1. Important Announcement: Collaboration with Art of Working and Incluzon (Internship Opportunities)

    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…

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  2. The Future of Data Science with Vijay Krishna Menon

    The Future of Data Science with Vijay Krishna Menon

  3. What does a Career in Data Science in Singapore look like 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...

  4. Why You Should Become a Data Analyst with Matt Brattin

    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...

  5. How to Network like a Pro with Matt Brattin

    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...

  6. Exploring the use of Data in Biomedical Genomics with Dr. Sumaiya Sande

    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....

  7. What is the Fuss about Machine Learning with Prof. Ricardo Silva

    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...

  8. Why Data Analyst is the Hottest Job with Henry Sumner

    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...

  9. The Basics of Deep Learning and Neural Networks with Advitya Gemawat

    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...

  10. Why You Should Pursue a Data Science Major with Advitya Gemawat

    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...

  11. Why Data Science is the Best Field to get into with Dr. Prashanth H Southekal

    How to enter the vast field of Data? Where to begin? What to learn first? These questions are very commonly asked by every person trying to build a career in Data Science. Everything is changing super fast due to digital transformation and Data insights are transforming businesses in unimaginable...

  12. The Upcoming Changes in the Field of Data Science and How to Stay Relevant with Dr. Prashanth H Southekal

    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...

  13. The Next Boom in Data Science and Artificial Intelligence with Brent Dykes

    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,...

  14. Best practises for Data-Driven Advertisement with Brent Dykes

    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...

  15. The need for Data Management to solve Business Problems with Scott Taylor - The Data Whisperer

    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...

  16. The Art of Data Storytelling with Scott Taylor - The Data Whisperer

    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...

  17. The importance of Probability and Statistics in Data Science with prof. Dootika Vats

    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...

  18. How to become a Data Scientist with Prof. Dootika Vats (Indian Institute of Technology)

    The universal definition of Data Science is very different from that of the fundamental and natural sciences. Data Science is really about developing mathematically motivated methodology to address specific problems in the real world. The process of understanding the context, asking questions,...

  19. How to Future-proof your career with Data Science, Design Thinking and Economics with Bill Schmarzo

    To be successful in any field, you need to know how to provide value! Every organization has problems that need to be solved. You need to be able to solve those problems with whatever tools you find interesting. With Design Thinking you can speak the language of the customer, with Data Science…

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  20. Thinking like a Data Scientist and Creating Value with Bill Schmarzo - The Dean of Big Data

    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…

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  21. What do Social Media websites do with your Private Data with Peter Aiken (Co-author of 'Data Literacy')

    Have you ever wondered what happens to the huge amounts of your private Data collected by social media websites and smart technology in your houses? Data is not only used for personalised advertisements but is also sold to other companies. Although, there could be some benefits of companies...

  22. Why you need to be Data Literate in today’s society with Peter Aiken (Co-author of 'Data Literacy')

    Your household technology collects more data about you than you can imagine, and you have no idea what happens with that data. Most of the time, you unknowingly grant access to your private data. Data literacy is essential to recognize who has access to your personal information and what they can...

  23. How to Not Get Replaced by Robots with Mark Stouse (CEO, ProofAnalytics)

    Data Analytics in the past has not been able as successful as it can and it is not due to the lack of Data Science expertise. Due to the latency between re-calculations with human data scientists is extremely high. Consequently, the analysis takes an unnecessary amount of time rendering the…

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  24. Exciting and Unique Research in Economics and Data Analysis at University of Cambridge with Kishen Shastry (PhD)

    Kishen is pursuing his PhD in Economics at the University of Cambridge and his research is mainly based on Empirical Macroeconomics. He is involved in numerous innovative projects which require working with a lot of Data. In this episode we discuss the the exciting and unique research going on at...

  25. The Evolution of Quantitative Economics through Mathematical and Data Modelling with Kishen Shastry (PhD, University of Cambridge)

    The field of Economics has evolved from purely theoretical studies since the time of Adam Smith due to increased importance of mathematical theory and data thanks to economists like Paul Samuelson. In this episode we discuss the journey of modern economics through the contribution of influential...

  26. Diving into the Life of a Data Scientist with Aakarsh Mohan

    The job of a Data Scientist requires more than just running models on data sets and analysing it. There are many more factors that come into play when you are solving a problem using data such as understanding the business and stakeholder requirements, credibility of data, and recursively…

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  27. Creating Opportunities and Solving Problems through Data with Tom Redman - "The Data Doc"

    A highly effective Data Scientist has numerous qualities that help them stand out. Data is a tool used to solve problems. To be a good Data Scientist, you require a quantitative background; but to be a Great Data Scientist, you need a lot more! Learn from Tom's experiences and industry knowldge…

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  28. Launching and Growing a Successful Startup with Brendan Rogers

    Being a Founder comes with many responsibilities. You need to continue innovating and adapting to the ever-changing needs of the customer. Building relationships, networking, and hiring the right talent for your Startup can be integral to its Success. To be an entrepreneur, you need to be…

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  29. The Data Science Revolution in Entrepreneurship with Jeff Frick - Part 2

    The recent rise of access to Data has changed the business approach in numerous industries. Google is one of the biggest examples of companies that are built on Data. This episode covers the countless possibilities of Data Science in Entrepreneurship. Making the most out of the Data collected is…

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  30. The Successful Entrepreneur's Mindset with Jeff Frick - Part 1

    Entrepreneurship is risky, gruelling, and requires a lot of hard work but the rewards are definitely worth the journey. Do you know what it takes to succeed in a generation where technology and user experience dominate the market? Answering all your questions ranging from "Who is an…

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  31. The Future of Big Data and Artificial Intelligence with Prof. Shalabh - Part 2

    Today we discuss the emerging fields of Big Data, Data Optimisation and Artificial Intelligence with examples of industry-leaders like Amazon, Netflix and Google. With easy access to Data, AI's ability to work with Data analytics is the primary reason for the emergence of the seemingly…

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  32. The History and Development of Data Science with Prof. Shalabh - Part 1

    How did Data Science develop as a subject? What is the historical importance of working with Data? Professor Shalabh from the Indian Institute of Technology answers these questions intuitive analogies and examples of Tech-Giants like Amazon and Google. Statistics, and the use of statistical…

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  33. Welcome to the Datapreneur Podcast

    Data Science and start-ups: The 2 fields that are revolutionising the 21st century. The need for Data Scientists today is sky-rocketing due to the relevance of Data in transforming businesses. But what is Data? Who is a Data Scientist? If you have ever asked yourself these questions, then you are...

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ABOUT THIS SHOW

The Datapreneur Podcast aims to teach you about the importance of Data and Entrepreneurship in the 21st century. Starting from simplified explanations of the basics to detailed conversations with Professors, CEO’s, Best Selling Authors and Industry Professionals.

HOSTED BY

Uttkarsh Kohli

CATEGORIES

Frequently Asked Questions

How many episodes does The Datapreneur Podcast have?

The Datapreneur Podcast currently has 33 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is The Datapreneur Podcast about?

The Datapreneur Podcast aims to teach you about the importance of Data and Entrepreneurship in the 21st century. Starting from simplified explanations of the basics to detailed conversations with Professors, CEO’s, Best Selling Authors and Industry Professionals.

How often does The Datapreneur Podcast release new episodes?

The Datapreneur Podcast has 33 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to The Datapreneur Podcast?

You can listen to The Datapreneur Podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts The Datapreneur Podcast?

The Datapreneur Podcast is created and hosted by Uttkarsh Kohli.
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