In this lecture, Bhusan Chettri summarises the topics covered in the course Data Analytics using Python. First, a description and summary of Data Analytics, in general, are provided. This is followed by a discussion of key concepts of python programming language and how it is used in data analytics. Then basics of Numpy - numerical python programming are provided. Next brief discussion about different concepts studied under the Pandas data analysis library is discussed. Next, an introduction to Machine learning basics is provided. Key concepts such as overfitting and underfitting, biases and variance, and their trade-offs are discussed. Next, a quick recap about things learned under the deep learning introduction session is provided. Finally, the importance of algorithm design and analysis techniques related to the time complexity analysis of an algorithm is discussed. Please check out the video for details.
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Timestamps:
1:15:25 Data analytics a quick recap
1:17:00 Introduction to Data Analytics overview
1:18:33 Python programming basics overview
1:20:36 Numpy- numerical python library overview
1:21:08 Pandas - data analysis library overview
1:22:43 Machine learning basics overview
1:31:49 Deep Learning with Keras overview
1:35:32 Algorithm complexity analysis overview
