Data Science Now Closter
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- Notícias
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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
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S2:E8 "Mid-Season Recap"
#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
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S2:E7 "Modeling in Data Science"
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 -
S2:E6 “Knowledge Discovery”
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 -
S2:E5 "Exploring & Preparing Data"
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 -
S2:E4 "Data Collection"
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 -
S2:E3 "Business Understanding Part 2"
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