This course will acquaint the participants with the nuts and bolts of the python programming condition, including how to download and introduce python, expected basic python programming methods, and how to discover help with python programming questions. The course will likewise present information control and cleaning methods utilizing the famous python pandas information science library and present the reflection of the Data Frame as the focal information structure for information examination.
This course will empower you to:
- Gain a top to bottom comprehension of information science process, information wrangling, information investigation, information representation, theory building, and testing. You will likewise take in the nuts and bolts of insights.
- Install the required Python condition and other assistant instruments and libraries
- Understand the basic ideas of Python programming like information sorts, tuples, records, dicts, essential administrators, and capacities.
- Perform abnormal state numerical figuring utilizing NumPy bundle and its expansive library of scientific capacities
Before the finish of this course you will:
- Have a comprehension of how to program in Python.
- Know how to make and control clusters utilizing numpy and Python.
- Know how to utilize pandas to make and break down informational collections.
- Know how to utilize matplotlib and seaborn libraries to make lovely information perception.
- Have an astonishing arrangement of illustration python information investigation ventures!
- Have a comprehension of Machine Learning and SciKit Learn!
- Basic Idea of Fundamental programming (Recommended Python)
- Fundamental of Mathematics
- Install Python
Consider the possibility that I miss a class.
You will never miss a class. You can pick both of the two choices:
- You can experience the recorded session of the missed class and the class introduction that are accessible for web based review through the LMS.
- You can go to the missed session, in some other live clump. If it’s not too much trouble note, access to the course material will be accessible for lifetime once you have selected into the course.
Data Science Overview
Data Analytics Overview
Statistical Analysis and Business Applications
Python: Environment Setup and Essentials
Mathematical Computing with Python (NumPy)
Scientific computing with Python (Scipy)
Data Manipulation with Python (Pandas)
Machine Learning with Python (Scikit–Learn)
Natural Language Processing with Scikit-Learn
Data Visualization in Python using Matplotlib
Data Science with Python Web Scraping
Python integration with Hadoop, MapReduce and Spark