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We made it— 300 episodes of This Is Woman’s Work ! And we’re marking this milestone by giving you something that could seriously change the game in your business or career: the skill of pitching yourself effectively. Whether you’re dreaming of being a podcast guest, landing a speaking gig, signing a client, or just asking for what you want with confidence—you’re already pitching yourself, every day. But are you doing it well? In this milestone episode, Nicole breaks down exactly how to pitch yourself to be a podcast guest … and actually hear “yes.” With hundreds of pitches landing in her inbox each month, she shares what makes a guest stand out (or get deleted), the biggest mistakes people make, and why podcast guesting is still one of the most powerful ways to grow your reach, authority, and influence. In This Episode, We Cover: ✅ Why we all need to pitch ourselves—and how to do it without feeling gross ✅ The step-by-step process for landing guest spots on podcasts (and more) ✅ A breakdown of the 3 podcast levels: Practice, Peer, and A-List—and how to approach each ✅ The must-haves of a successful podcast pitch (including real examples) ✅ How to craft a pitch that gets read, gets remembered, and gets results Whether you’re new to pitching or want to level up your game, this episode gives you the exact strategy Nicole and her team use to land guest spots on dozens of podcasts every year. Because your voice deserves to be heard. And the world needs what only you can bring. 🎁 Get the FREE Podcast Pitch Checklist + Additional Information on your Practice Group, Peer Group, and A-List Group Strategies: https://nicolekalil.com/podcast 📥 Download The Podcast Pitch Checklist Here Related Podcast Episodes: Shameless and Strategic: How to Brag About Yourself with Tiffany Houser | 298 How To Write & Publish A Book with Michelle Savage | 279 How To Land Your TED Talk and Skyrocket Your Personal Brand with Ashley Stahl | 250 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…
Innehåll tillhandahållet av Closter. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Closter eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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
Innehåll tillhandahållet av Closter. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Closter eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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
#DataScienceNow mid-season recap! On this episode we make a quick review of the previous sessions, covering some of the basics of Data Science, and you'll have a sneak peek of what's next. Watch the video on Youtube: https://bit.ly/DSNYoutube Subscribe to the Data Science Now newsletter here: https://bit.ly/DSNNewsletter Follow Closter on social media: - Instagram: https://instagram.com/closterteam - Twitter: https://twitter.com/ClosterTeam - Facebook: https://www.facebook.com/ClosterTeam/ - LinkedIn: https://www.linkedin.com/company/closter #DataScience #MachineLearning #FavioDataJourney #Closter #Podcast To enable screen reader support, press ⌘+Option+Z To learn about keyboard shortcuts, press ⌘slash…
This session of Data Science Now is an introduction to modeling and machine learning in data science. The topics are: - What is a model? - Why do we need modeling in data science? - What is machine learning? - How to solve business problems with machine learning Watch the video on Youtube: https://bit.ly/DSNYoutube Subscribe to the Data Science Now newsletter here: https://bit.ly/DSNNewsletter Follow Closter on social media: - Instagram: https://instagram.com/closterteam - Twitter: https://twitter.com/ClosterTeam - Facebook: https://www.facebook.com/ClosterTeam/ - LinkedIn: https://www.linkedin.com/company/closter #DataScienceNow #DataScience #Closter #MachineLearning #FavioDataJourney #Podcast…
On this episode of Data Science Now we'll learn how to discover valuable insights from data through Data Science. We focus on: - Historic overview of data science methodologies - Comparison, advantages, and disadvantages of data science methodologies - Getting insights from data - Introduction to modeling Watch the video on Youtube: http://bit.ly/DSNYoutube Subscribe to the Data Science Now newsletter here: https://bit.ly/DSNNewsletter Follow Closter on social media: - Instagram: https://instagram.com/closterteam - Twitter: https://twitter.com/ClosterTeam - Facebook: https://www.facebook.com/ClosterTeam/ - LinkedIn: https://www.linkedin.com/company/closter #DataScienceNow #DataScience #Closter #MachineLearning #FavioDataJourney #Podcast…
On this session of Data Science Now, we talk about different techniques and trends in the exploration and preparation of data for modeling, which is crucial in every data science project. The topics are: - Data analytics - Exploratory data analysis - Data preparation and techniques - Putting it all together Watch the video on Youtube: https://bit.ly/DSNYoutubeS2E5 Subscribe to the Data Science Now newsletter here: https://bit.ly/DSNNewsletter Follow Closter on social media: - Instagram: https://instagram.com/closterteam - Twitter: https://twitter.com/ClosterTeam - Facebook: https://www.facebook.com/ClosterTeam/ - LinkedIn: https://www.linkedin.com/company/closter #DataScienceNow #DataScience #MachineLearning #FavioDataJourney #Podcast #Closter…
On this episode of Data Science Now, we talk about Data Collection, how and where to collect the right datasets to solve a business problem, and great tools to make the process easier. The topics of the session are: - What is data collection? - Types of Data - Ethics of data collection - Building datasets from scratch - Using databases - Data enrichment Watch the video on Youtube: https://bit.ly/DSNYoutubeS2E4 Subscribe to the Data Science Now newsletter here: https://bit.ly/DSNNewsletter Follow Closter on social media: - Instagram: https://instagram.com/closterteam - Twitter: https://twitter.com/ClosterTeam - Facebook: https://www.facebook.com/ClosterTeam/ - LinkedIn: https://www.linkedin.com/company/closter #DataScienceNow #DataScience #DataCollection #FavioDataJourney #Podcast…
On this session, we continue the conversation from the previous episode, and we discuss: - How to understand and develop KPIs - The good, the bad and the ugly of doing data science for businesses Watch the video on Youtube: https://bit.ly/DSNYoutubeS2E3 Subscribe to the Data Science Now newsletter here: https://bit.ly/DSNNewsletter Follow Closter on social media: - Instagram: https://instagram.com/closterteam - Twitter: https://twitter.com/ClosterTeam - Facebook: https://www.facebook.com/ClosterTeam/ - LinkedIn: https://www.linkedin.com/company/closter #DataScienceNow #DataScience #Closter #Business #Podcast…
On the first session from the Data Science Now series about the Basics of Data Science, "Business Understanding", we cover the fundamental aspects for understanding the context of a business, we see how Data Science works in a business environment, how to get the context of a company and a project, what to ask in business meetings, how to behave in business environments, and understanding the goals of a company and its departments. Wait for part 2 on the next session. Watch the video on Youtube: https://bit.ly/DSN-YoutubeS2E2…
Welcome to the second season of #DataScienceNow! This time we'll cover the basics of Data Science, from data collection, to modeling and deployment, talking about methods, infrastructure, machine learning, DataOps and much more. Watch the video on Youtube: https://bit.ly/DSNYoutubeS2E1 #DataScience #Closter #MachineLearning…
On this episode, we talk about the best and most used books to study Machine Learning and AI. Watch the video on Youtube: https://youtu.be/KS6MLtS7FHg #DataScienceNow #DataScience #Closter #MachineLearning #AI #ArtificialIntelligence #Statistics #Data #Technology #Jobs #Business #Programming
Learn about the process and algorithms that Netflix and other companies use for their recommendation systems on this Episode of Data Science Now. Watch the video on Youtube: https://youtu.be/HtS9fHa_FkQ #DataScience #Closter #MachineLearning #AI #ArtificialIntelligence #Statistics #Data #Technology #Netflix…
Understanding the coronavirus with Data Science. Join us on #DataScienceNow while we use the available data to analyze, plot and create simple models about the spread and control of the disease. #DataScience #Coronavirus #Closter #MachineLearning #AI #ArtificialIntelligence #Statistics #Data #Technology #COVID19…
On this episode we talk about the most important programming languages for Data Science and how to learn them. #DataScienceNow #DataScience #Closter #MachineLearning #AI #ArtificialIntelligence #Statistics #Data #Technology #Jobs #Business #Programming
On this episode of Data Science Now, we talk about business understanding and its relevant function in the Data Science workflow. Watch the video on Youtube: https://youtu.be/pKlC2kOBmPc #DataScienceNow #DataScience #Closter, MachineLearning #AI #ArtificialIntelligence #Statistics #Data #Technology #Jobs #Business…
The 5th episode of #DataScienceNow! Stay tuned and learn more about the crucial relationship between Math, Machine Learning and Data Science. #DataScience #Closter #MachineLearning #AI #ArtificialIntelligence #Statistics #Data #Technology #Math #Business #Jobs #LinkedInLive
On this session of Data Science Now, we talk about how to learn and use the most important Python libraries for Data Science, like TensorFlow, Pandas, Spark and much more. #DataScienceNow #DataScience #Closter #MachineLearning #AI #ArtificialIntelligence #Statistics #Data #Technology #Business #LinkedInLive #Python…
How to get a job in Data Science? Find out on this episode of #DataScienceNow, we're live talking about what you need to study, how to prepare for interviews, what companies are looking for and much more. And if you're a recruiter, we'll also be discussing the right questions to ask in order to find the best data scientist. #DataScienceNow #DataScience #Podcast #Closter #LinkedInLive #AI #MachineLearning #Statistics #Data #Technology #Business #Jobs…
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.…
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