Python 3.6 for Data Science Training Course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.
Python training is intended for learners who have basic python or programming background, and want to apply statistics, machine learning, information visualization, social network analysis, and text analysis techniques to gain new insight into data.
Training is provided only online mode.
Every training session will be recorded and would be readily available at dispense.
We provide a collaboration and communication platform for interacting with the trainer real time.
Yes, we do provide the course material.
Yes, we help you set-up a cloud environment for you to practice
Training would start with the concepts, then practice and theory go hand in hand and finally after course completion, participants will work on live projects.