S1:E1 "The Beginning"

FromData Science Now

Start listening View podcast show

S1:E1 "The Beginning"

FromData Science Now

ratings:

Length:

36 minutes

Released:

Jan 17, 2020

Format:

Podcast episode

Description

In the first episode of Data Science Now, Favio Vázquez talks about Knowledge Data Science and why it could be the future of the field. We also discuss the importance of Python in the world of Data Science. Finally, we explore a Python library that can help you improve the quality and readability of your stories.

Released:

Jan 17, 2020

Format:

Podcast episode

Titles in the series (18)

Data Science Now is a podcast brought to you by Closter, where your host Favio Vázquez will analyze the latest trends in Data Science, giving you the necessary tools to become a great data scientist and to understand how data is shaping our world. Follow us on social media: @ClosterTeam

Skip carousel

S1:E5 "Math for Machine Learning" by Data Science Now
47 min listen
S1:E2 "History of Data Science" by Data Science Now
38 min listen
S1:E3 "How to Get a Job in Data Science" by Data Science Now
51 min listen
S1:E1 "The Beginning" by Data Science Now
36 min listen
S1:E4 "Best Python Libraries for Data Science" by Data Science Now
36 min listen
S1:E6 "Business Understanding for Data Science" by Data Science Now
38 min listen
S1:E9 "How Netflix recommends shows and movies" by Data Science Now
47 min listen
S1:E7 "Programming Languages for Data Science" by Data Science Now
36 min listen
S1:E8 "Understanding the Coronavirus with Data Science" by Data Science Now
50 min listen
S2:E1 "Basics of Data Science" by Data Science Now
28 min listen
S1:E10 "Best Books to Study Machine Learning" by Data Science Now
43 min listen
S2:E3 "Business Understanding Part 2" by Data Science Now
48 min listen
S2:E2 "Business Understanding Part 1" by Data Science Now
38 min listen
S2:E4 "Data Collection" by Data Science Now
40 min listen
S2:E5 "Exploring & Preparing Data" by Data Science Now
50 min listen
S2:E6 “Knowledge Discovery” by Data Science Now
33 min listen
S2:E7 "Modeling in Data Science" by Data Science Now
55 min listen
S2:E8 "Mid-Season Recap" by Data Science Now
37 min listen

More Episodes from Data Science Now

Skip carousel

S2:E8 "Mid-Season Recap" by Data Science Now
37 min listen
S2:E6 “Knowledge Discovery” by Data Science Now
33 min listen
S2:E7 "Modeling in Data Science" by Data Science Now
55 min listen
S2:E5 "Exploring & Preparing Data" by Data Science Now
50 min listen
S2:E4 "Data Collection" by Data Science Now
40 min listen
S2:E3 "Business Understanding Part 2" by Data Science Now
48 min listen
S2:E2 "Business Understanding Part 1" by Data Science Now
38 min listen
S2:E1 "Basics of Data Science" by Data Science Now
28 min listen
S1:E10 "Best Books to Study Machine Learning" by Data Science Now
43 min listen
S1:E9 "How Netflix recommends shows and movies" by Data Science Now
47 min listen
S1:E7 "Programming Languages for Data Science" by Data Science Now
36 min listen
S1:E8 "Understanding the Coronavirus with Data Science" by Data Science Now
50 min listen
S1:E6 "Business Understanding for Data Science" by Data Science Now
38 min listen
S1:E5 "Math for Machine Learning" by Data Science Now
47 min listen
S1:E4 "Best Python Libraries for Data Science" by Data Science Now
36 min listen
S1:E3 "How to Get a Job in Data Science" by Data Science Now
51 min listen
S1:E2 "History of Data Science" by Data Science Now
38 min listen

Related podcast episodes

Skip carousel

#70 Beyond the Language Wars: R & Python for the Modern Data Scientist by DataFramed
56 min listen
Episode 19 (Python for Data Science - Python Files - Scripts and Modules) by How to Data (Joshiverse- Journey of a Budding Data Scientist)
7 min listen
LLMs, Retrieval Augmented Generation, Knowledge Graph, Vector Databases with Mike Dillinger: RAG, Retrieval Augemented Generation, is the term you now constantly hear in conjunction with LLM that provides context. But how does it actually work? And what's the relationship with Vector Databases and Knowledge Graphs? This will be a geeky AI e... by Catalog & Cocktails: The Honest, No-BS Data Podcast
66 min listen
Build Better Machine Learning Models With Confidence By Adding Validation With Deepchecks: A cross-over episode from The Machine Learning Podcast with the team from Deepchecks, exploring the challenges of testing and validating machine learning applications and their work to make it easier. by The Python Podcast.__init__
48 min listen
[DataFramed Careers Series #2] What Makes a Great Data Science Portfolio by DataFramed
51 min listen
#46 AI in Healthcare, an Insider's Account by DataFramed
62 min listen
167 | Visualization and Statistics with Andrew Gelman and Jessica Hullman by Data Stories
49 min listen
Renee M. P. Teate, "SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis" (John Wiley & Sons, 2021): An interview with Renee M. P. Teate by New Books in Science, Technology, and Society
43 min listen
Joe Reis Flips The Script And Interviews Tobias Macey About The Data Engineering Podcast: Joe Reis takes over the show and interviews Tobias Macey, host of the Data Engineering Podcast, about his own show and the other projects that keep him busy by Data Engineering Podcast
57 min listen
Revisit The Fundamental Principles Of Working With Data To Avoid Getting Caught In The Hype Cycle: The data ecosystem has seen a constant flurry of activity for the past several years, and it shows no signs of slowing down. With all of the products, techniques, and buzzwords being discussed it can be easy to be overcome by the hype. In this episode Juan Sequeda and Tim Gasper from data.world share their views on the core principles that you can use to ground your work and avoid getting caught in the hype cycles. by Data Engineering Podcast
65 min listen
#77 Acing the Data Science Interview by DataFramed
57 min listen
Build Your Analytics With A Collaborative And Expressive SQL IDE Using Querybook: An interview about the Querybook SQL IDE for big data analytics and how you can use it to build more expressive and maintainable analytics. by Data Engineering Podcast
53 min listen
#41 Uncertainty in Data Science by DataFramed
59 min listen
Anaconda + Pyston and more: with Peter Wang, CEO of Anaconda by Practical AI: Machine Learning, Data Science, LLM
43 min listen
#1 Data Science, Past, Present and Future: Hilary Mason talks about the past, present, and future of data science with Hugo. Hilary is the VP of Research at Cloudera Fast Forward, a machine intelligence research company, and the data scientist in residence at Accel. If you want to hear about wh... by DataFramed
60 min listen
Visualization and Interpretability: joins us to discuss how data visualization can be used to help make machine learning more interpretable and explainable. Find out more about Enrico at . More from Enrico with co-host Moritz Stefaner on the podcast! by Data Skeptic
36 min listen
MLA 018 Descript: (Optional episode) just showcasing a cool application using machine learning Dept uses Descript for some of their podcasting. I'm using it like a maniac, I think they're surprised at how into it I am. Check out the transcript & see how it... by Machine Learning Guide
6 min listen
The Past, Present, and Future of Deep Learning In PyTorch: An interview with the creator of the popular PyTorch deep learning framework by The Python Podcast.__init__
42 min listen
#121 — ChatGPT and How Generative AI is Augmenting Workflows by DataFramed
48 min listen
Data Operations vs. Data Analytics: Are we doing data and analytics correctly? Self service, centralization vs decentralization, analytics vs operations… so many aspects that data teams need to consider. Join this week’s episode of Catalog & Cocktails with hos... by Catalog & Cocktails: The Honest, No-BS Data Podcast
61 min listen
Exploring the Zen of Python & pandas Features for Finance by The Real Python Podcast
50 min listen
#20 Kaggle and the Future of Data Science by DataFramed
52 min listen
[DataFramed Careers Series #1] Launching a Data Career in 2022 by DataFramed
40 min listen
#52 Data Science at the BBC by DataFramed
62 min listen
#124 Using AI to Improve Data Quality in Healthcare by DataFramed
41 min listen
Automate Your Pipeline Creation For Streaming Data Transformations With SQLake: Managing end-to-end data flows becomes complex and unwieldy as the scale of data and its variety of applications in an organization grows. Part of this complexity is due to the transformation and orchestration of data living in disparate systems. The team at Upsolver is taking aim at this problem with the latest iteration of their platform in the form of SQLake. In this episode Ori Rafael explains how they are automating the creation and scheduling of orchestration flows and their related transforations in a unified SQL interface. by Data Engineering Podcast
44 min listen
#26 Spreadsheets in Data Science by DataFramed
59 min listen
Jobs of Tomorrow: Windows Insider Podcast Episode 17 by Windows Insider Podcast
42 min listen
Eureka moments with natural language processing: featuring Nicholas Mohnacky of bundleIQ by Practical AI: Machine Learning, Data Science, LLM
37 min listen
Learning Python Through Errors by The Real Python Podcast
70 min listen

Discover this podcast and so much more

S1:E1 "The Beginning"

S1:E1 "The Beginning"

Description

Titles in the series (18)

More Episodes from Data Science Now

Related podcast episodes