Introduction to Python for Data Science 2019
- 3.8
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Brief Introduction
Applying Python Variables, Lists, NumPy, Pandas & Matplotlib to Data Science on Jupyter NotebookDescription
In this course you will learn Python by asking Why? rather than How? we ask the questions: Why Python? Why are Variables necessary? Why do we need Lists? What is the importance of NumPy Arrays and Why should we use Pandas and Matplotlib? Learning though asking Why is much more effective than being shown How…
Requirements
- Requirements
- Basic knowledge of data analysis
- Basic idea of programming
Phikolomzi Gugwana
3.8 Raiting
Python: Python Programming for Artificial Intelligence (1)
- 4
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Learn Python like a Pro! Start with basics to learn Data Science, Machine Learning and Artificial Intelligence - (2020) THIS COURSE IS THE FIRST PART OF 7-STEP ARTIFICIAL INTELLIGENCE JOURNEY....
Algorithms for DNA Sequencing
- 4.7
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We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used....
Foundations of Data Science: K-Means Clustering in Python
- 4.6
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Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Week 1: Foundations of Data Science: K-Means Clustering in Python...
Machine Learning & Data Science A-Z: Hands-on Python 2021
- 4.5
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Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python Are you interested in programming in Python, but you always afraid of coding?...
