KDnuggets News March 30: The Most Popular Intro to Programming Course From Harvard is Free!; Top 13 Skills That Every Data Scientist Should Have
The Most Popular Intro to Programming Course From Harvard is Free!; Top 13 Skills That Every Data Scientist Should Have; Junior vs Senior Data Scientist Salary: What’s the Difference?; MLOps Is a Mess But That's to be Expected; Data Science at the Command Line: The Free eBook
Features
- The Most Popular Intro to Programming Course From Harvard is Free! by Nisha Arya
- Top 13 Skills That Every Data Scientist Should Have by Nate Rosidi
- Junior vs Senior Data Scientist Salary: What’s the Difference? by Matthew Przybyla
- Top 13 Skills That Every Data Scientist Should Have by Nate Rosidi
From Our Partners
- 5 Reasons to Reconnect at ODSC East 2022 by ODSC
- Your NVIDIA Systems Just Got Faster by NVIDIA
- Machine Learning Textbook: Stochastic Processes and Simulations by DataShaping
- Interactive ML Strategy course with Foster Provost starting April 7 by Scholarsite.io
- Your NVIDIA Systems Just Got Faster by NVIDIA
This Week's Posts
- MLOps Is a Mess But That's to be Expected by Mihail Eric
- Data Science at the Command Line: The Free eBook by Abid Ali Awan
- A New Way of Managing Deep Learning Datasets by Abid Ali Awan
- A Different Solution To Each Problem: The Range of NLP Applications in the Real World by Filiberto Emanuele
- Risk Management Framework for AI/ML Models by Vidhi Chugh
- Time Series Forecasting with Ploomber, Arima, Python, and Slurm by Ido Michael
- What’s the Difference Between Data Analysts and Data Scientists? by Nahla Davies
- WTF is a Tensor?!? by Matthew Mayo
- GitHub Copilot Open Source Alternatives by Matthew Mayo
- Data Science at the Command Line: The Free eBook by Abid Ali Awan
From Around The Web
- Batch Processing 22GB of Transaction Data with Pandas by Conor O'Sullivan
- Efficiently iterating over rows in a Pandas DataFrame by Maxime Labonne
- A Guide to Obtaining Time Series Datasets in Python by Mehreen Saeed
- Data Analyst Interview Questions and Answers by Nate Rosidi
- Efficiently iterating over rows in a Pandas DataFrame by Maxime Labonne
KDnuggets News