Data Science with Python

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

What are the course objectives?

The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python. 
 
Python has surpassed Java as the top language used to introduce US students to programming and computer science, and 46 percent of data science jobs list Python as a required skill.

What skills will you learn?

This Python for Data Science training course will enable you to:
* Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics
* Install the required Python environment and other auxiliary tools and libraries
* Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
* Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
* Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
* Perform data analysis and manipulation using data structures and tools provided in the Pandas package
* Gain expertise in machine learning using the Scikit-Learn package
* Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
* Use the Scikit-Learn package for natural language processing
* Use the matplotlib library of Python for data visualization
* Extract useful data from websites by performing web scrapping using Python
* Integrate Python with Hadoop, Spark and MapReduce

Exam & Certification



To become a Certified Data Scientist with Python, you must fulfil the following criteria:
* Complete one project out of the two provided in the course. Submit the deliverables of the project in the LMS which will be evaluated by our lead trainer
* Score a minimum of 60% in any one of the two simulation tests
* Complete 85% of the course
* Attend one complete batch.