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KDnuggets Home » News » 2021 » Jul » Top Stories » Top Stories, Jul 12-18: Top 6 Data Science Online Courses in 2021; Become an Analytics Engineer in 90 Days

Top Stories, Jul 12-18: Top 6 Data Science Online Courses in 2021; Become an Analytics Engineer in 90 Days


Also: Data Scientists and ML Engineers Are Luxury Employees; Geometric foundations of Deep Learning; How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?; A Learning Path To Becoming a Data Scientist



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  1. Top 6 Data Science Online Courses in 2021Top 6 Data Science Online Courses in 2021, by Natassha Selvaraj
  2. Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes
  3. Geometric foundations of Deep Learning, by Michael Bronstein, Joan Bruna, Taco Cohen, and PV
  4. How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?, by Tirthajyoti Sarkar
  5. A Learning Path To Becoming a Data Scientist, by Sara Metwalli

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  1. Become an Analytics Engineer in 90 Days, by Tuan Nguyen
  2. Geometric foundations of Deep Learning, by Michael Bronstein, Joan Bruna, Taco Cohen, and PV
  3. Top 6 Data Science Online Courses in 2021, by Natassha Selvaraj
  4. How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?, by Tirthajyoti Sarkar
  5. SQL, Syllogisms, and Explanations, by Adrian Walker

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  4. How geometry might provide a universal foundation for deep learning.
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  1. Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes
  2. Data Scientists Will be Extinct in 10 Years, by Mikhail Mew
  3. Pandas vs SQL: When Data Scientists Should Use Each Tool, by Matthew Przybyla
  4. Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd
  5. 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist, by Tessa Xie

Most Shared Past 30 Days

  1. Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes
  2. Relax! Data Scientists will not go extinct in 10 years, but the role will change, by Gregory Piatetsky
  3. Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd
  4. Date Processing and Feature Engineering in Python, by Matthew Mayo
  5. Become an Analytics Engineer in 90 Days, by Tuan Nguyen

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