#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.

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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

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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

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- Facebook: https://www.facebook.com/ClosterTeam/

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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

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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

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- Facebook: https://www.facebook.com/ClosterTeam/

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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

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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

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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

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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

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