Best Karthik Shashidhar Podcasts (2024)

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16. Teaching Data Through Stories 54:38

2+ y ago54:38

54:38

The phrase “using data to tell stories” is so commonly used nowadays that it runs the risk of becoming a cliche, if it hasn’t become one already. This episode’s guest flips this logic around - instead of using data to tell stories, he uses stories to teach data science! Arvind Venkatadri is a faculty member at Srishti Manipal School of Art, Design …

1
15. On Data And Journalism 50:04

2+ y ago50:04

50:04

There is a conception, or misconception, that journalists are not good at maths. It is rather common to see newspaper headlines and graphics that make basic mathematical and logical errors. On the other hand, in the last decade or so, we have seen a massive rise in “data journalism”. With more and more data being available, journalists are able to …

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14. Programming Data Science: R vs Python 1:00:34

2+ y ago1:00:34

1:00:34

There are two dominant programming languages used for data science nowadays - R and Python, each having its own set of loyal users. Both have their own strengths and weaknesses. In this episode, we look at what each langauge is good and bad at, what kind of people are more likely to use each, and how being able to program in both and switch seamles…

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13: Is this real, Data Science, or is it a fantasy? 46:20

2+ y ago46:20

46:20

Over the last decade, we have seen tremendous advances in big data, data science, artificial intelligence and machine learning. Every compnay wants to be a tech-first comapny now, and wants to “do data science". Companies can probably double their valuation by just adding a “.ai" to their names. Companies that actually use artificial intelligence a…

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12. Carts and graphs: Storytelling through maps 50:30

2+ y ago50:30

50:30

In this edition of data chatter, we will talk about maps. Maps are excellent devices for telling stories. Think of the maps you see around election times that show which parties won seats where. in fact, the first ever scatter plot - Dr. John Snow’s figure of cholera cases in London, was essentially a map. Or think of the famous map of Napoleon’s i…

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11. Unknown Unknowns: Risk and Uncertainty 1:25:14

3y ago1:25:14

1:25:14

The fundamental principle underlying all analytics and data science is Probability. And probability was first invented, or should I say discovered, to assess risk. So what is risk? Can we quantify and measure it? How do we handle risk in life? Is risk always bad? Today’s guest on Data Chatter is Bala Vamsi Tatavarthy, who is co-founder and investme…

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10. From Science To Data Science 59:42

3y ago59:42

59:42

When I was graduating college in the mid 2000s, the word in job descriptions that most commonly appeared alongside “data” was “analytics”. However, around 2010, the phrase “data science” (HBR link) got coined, and took over the world in the next five years. Nowadays it seems everyone wants to be a “data scientist” However, where is the science in d…

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9. Making Data Science Work 49:27

3y ago49:27

49:27

Everyone wants to do “data science”. Companies want to introduce “machine learning” in their products. Most fund raises by startups nowadays are accompanied by a statement of intent to invest in data, and data science. Back in 2006, mathematician Clive Humby, who was working for Tesco, made the statement that “data is the new oil” (to give context,…

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8. Data Science For Babies 1:02:36

3y ago1:02:36

1:02:36

There is an ongoing debate on when children should be taught to code. There is one group of people which insists that computer programming is a lifelong skill, and is best taught early. The opposing argument is that coding is possibly a fad, and that children will learn it when they have to. But what about data science? The field itself is less tha…

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7. From Random Walks to Random Forests: Analytics and data science on Wall Street 49:00

3y ago49:00

49:00

One of the first industries to extensively use advanced maths to do better was financial services. Ever since Fischer Black and Myron Scholes published their seminal paper on option pricing in 1973, Wall Street firms hired mathematicians and scientists by the droves, getting them to model asset prices in order to get an edge in the market. Even tod…

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6. Manhattans and Moneyball to Kabaddi: How analytics evolves with sports 1:08:13

3y ago1:08:13

1:08:13

For a lot of people, their first introduction to data and analytics happens through sport. Fans have tracked batting and bowling averages for many decades now. In the 1990s, with the coming of satellite TV in India, cricket fans had their first brush with bar graphs and line graphs, with “manhattans” and “worms” respectively. In the last two decade…

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5. Conjoints and Coupons: The evolution of quantitative marketing 51:04

3y ago51:04

51:04

In business schools in India, there is a misconception that marketing is not quantitative, and that it is for the more “creative” people. However, if you look at its history, marketing has always been a highly quantitative subject. To know more about data and quant in marketing, we talk to Prithwiraj Mukherjee, an assistant professor of marketing a…

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4. Itihaasa (history) of Analytics in India 56:44

3y ago56:44

56:44

Analytics and Data Science have become mainstream career choices for graduating students in India nowadays. Analytics companies are nowadays among the largest recruiters at engineering colleges. How did we get here? How did data and analytics become so big, and so mainstream in India? In order to understand this, we need to understand the full hist…

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3. Make BI Great Again 55:41

3y ago55:41

55:41

“Business intelligence” has become a rather unfashionable term in the world of data and analytics. From generating buisness insights from intelligent use of data, it has largely devolved to become a software engineering function - to connect databases to front end tools. However, there is far more to business intelligence than just writing queries.…

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2. The Big Deal about Big Data 55:56

3y ago55:56

55:56

Around a decade ago, “big data” became fashionable. There were lots of jokes and memes created around “big data”. Everyone wanted to do big data. Now, in 2021, the hype around big data may have died down, but how to roganise and store data remains an important problem for organistions to solve. Today’s guest is Rangarajan Vasudevan, founder and CEO…

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1. Excel-lent Graphics 57:34

3y ago57:34

57:34

When we read or talk about “data science”, most of the talk is around modelling - the maths behind it, the “cool” modelling techniques, what kind of CPUs or GPUs are required, and all that. What we normally talk less about is how data science interacts with business. In this inaugural episode of Data Chatter, I talk to S Anand, co-founder and CEO o…

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0. Trailer 2:20

3y ago2:20

2:20

This is the trailer of "data chatter", a new podcast on all things data. Data Chatter is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data …

Podcasts Worth a Listen

Karthik Shashidhar Podcasts

Podcasts Worth a Listen

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Data Chatter

Karthik Shashidhar

1
16. Teaching Data Through Stories 54:38

1
15. On Data And Journalism 50:04

1
14. Programming Data Science: R vs Python 1:00:34

1
13: Is this real, Data Science, or is it a fantasy? 46:20

1
12. Carts and graphs: Storytelling through maps 50:30

1
11. Unknown Unknowns: Risk and Uncertainty 1:25:14

1
10. From Science To Data Science 59:42

1
9. Making Data Science Work 49:27

1
8. Data Science For Babies 1:02:36

1
7. From Random Walks to Random Forests: Analytics and data science on Wall Street 49:00

1
6. Manhattans and Moneyball to Kabaddi: How analytics evolves with sports 1:08:13

1
5. Conjoints and Coupons: The evolution of quantitative marketing 51:04

1
4. Itihaasa (history) of Analytics in India 56:44

1
3. Make BI Great Again 55:41

1
2. The Big Deal about Big Data 55:56

1
1. Excel-lent Graphics 57:34

1
0. Trailer 2:20

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