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Best Data Science courses & tutorials 2020

 

Data Science A-Z: Real-Life Data Science Exercises Included

Data Science A-Z: Real-Life Data Science Exercises Included by Kirill Eremenko will help you learn Data Science step by step through real analytics examples, Data Mining, Modeling, Tableau Visualization and more. This Data Science course is absolutely perfect for beginners. You will learn everything you need to get a Data Science job and make a good salary. This Data Science video tutorial will teach you how to perform Data Mining in Tableau. You will learn how to clean and prepare your data for analysis. How to perform basic visualization of your data is one of the many things you will master. You will make use of SQL for creating scripts, conditional splits, stored procedures and more. This Data Science tutorial will walk you through how to model and curve-fit your data. You will learn and gain a great understanding of SQL, SSIS, Tableau & Gretl. With over 20 hours of content, this is without question one of the best Data Science tutorials and the best way to learn Data Science quickly.

 

Python for Data Science and Machine Learning Bootcamp

Python for Data Science and Machine Learning Bootcamp by Jose Portilla will teach you how to use Python for Data Science and Machine Learning. You will use different Python frameworks and libraries such as NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, Tensorflow and more to master Data Science. This Python tutorial will show you how to use Python to implement Machine Learning algorithms.  You will use SciKit-Learn for Machine Learning. This tutorial will show you how use Matplotlib and Seaborn for data visualizations. Use Spark for Big Data analysis. You will understand what Natural Language Processing is along with Spam Filters. K Nearest Neighbors and K Means Clustering are discussed. You will learn all about Neural Networks. This Python data Science training will teach you how to support Vector Machines. Decision Trees and Random Forests are both explained. This is one of the best Data Science Python courses in 2017.

 

Machine Learning A-Z: Hands-On Python & R In Data Science

Machine Learning A-Z: Hands-On Python & R In Data Science by Kirill Eremenko, Hadelin de Ponteves and SuperDataScience Team will teach you Machine Learning using Python & R. These Python videos will teach you everything related to Machine Learning. You will build an army of powerful Machine Learning models. Then you will combine them to solve any problem. You will be able to handle different topics like Reinforcement Learning, NLP and Deep Learning. Using the knowledge you gain, you will know which Machine Learning model to use depending on the problem. This is one of the best Machine Learning Data Science tutorials.

 

Careers in Data Science A-Z

Careers in Data Science A-Z by Kirill Eremenko will teach you how to become a top level data scientist. This Data Science course is for anyone wishing to explore or improve their careers in Data Science. You will learn start off with the basic steps on how to become a Data Scientist. This Data Science tutorial is packed with hacks, tips & tricks for your Data Science career. You will gain valuable insights, advice, recommendations, lessons from failures and successes from the careers of the authors. If you want to take your Data Science career to the next level and make a better salary, this is one of the best Data Science guides for you.

 

Best Data Science books 2020

 

Bestsellers

 

SaleBestseller No. 1
Storytelling with Data: A Data Visualization Guide for Business Professionals
  • Nussbaumer Knaflic, Cole (Author)
  • English (Publication Language)
  • 288 Pages - 11/02/2015 (Publication Date) - Wiley (Publisher)
SaleBestseller No. 2
Data Science from Scratch: First Principles with Python
  • Grus, Joel (Author)
  • English (Publication Language)
  • 406 Pages - 05/16/2019 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 3
Python Data Science Handbook: Essential Tools for Working with Data
  • O\'Reilly Media
  • VanderPlas, Jake (Author)
  • English (Publication Language)
  • 548 Pages - 12/10/2016 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 5
Practical Statistics for Data Scientists: 50 Essential Concepts
  • Bruce, Peter (Author)
  • English (Publication Language)
  • 318 Pages - 06/06/2017 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 6
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
  • O Reilly Media
  • Wickham, Hadley (Author)
  • English (Publication Language)
  • 520 Pages - 01/10/2017 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 7
The Unicorn Project
  • Hardcover Book
  • Kim, Gene (Author)
  • English (Publication Language)
  • 352 Pages - 11/26/2019 (Publication Date) - IT Revolution Press (Publisher)
SaleBestseller No. 8
Data Smart: Using Data Science to Transform Information into Insight
  • Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.
  • But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.
  • Foreman, John W. (Author)
  • English (Publication Language)
  • 432 Pages - 11/12/2013 (Publication Date) - Wiley (Publisher)
SaleBestseller No. 9
Data Science (The MIT Press Essential Knowledge series)
  • Kelleher, John D. (Author)
  • English (Publication Language)
  • 280 Pages - 04/13/2018 (Publication Date) - The MIT Press (Publisher)
SaleBestseller No. 10
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
  • O'Reilly Media
  • Provost, Foster (Author)
  • English (Publication Language)
  • 414 Pages - 08/27/2013 (Publication Date) - O'Reilly Media (Publisher)