Data Science Now

#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