Data Science with Python
Advanced
Establish your mastery of data science and analytics techniques using Python by enrolling in this Data Science with Python course. You’ll learn the essential concepts of Python programming and gain in-depth knowledge of 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, Data Science with Python course.
Program Features
4 industry-based course-end projects
Interactive learning with Jupyter notebooks integrated labs
Dedicated mentoring session from faculty of industry experts
Delivery Mode
Blended
This course consists of self-paced learning and live virtual classroom
Prerequisites
To best understand the Data Science with Python course, it is recommended that you begin with these courses:
Python Basics
Math Refresher
Data Science in Real Life
Statistics Essentials for Data Science
Target Audience
Analytics professionals willing to work with Python
Software and IT professionals interested in analytics
Anyone with a genuine interest in data science
Key Learning Outcomes
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; and the basics of statistics
Understand the essential concepts of Python programming such as datatypes, tuples, lists, dicts, basic operators, and functions
Perform high-level mathematical computations using the NumPy and SciPy packages and their large library of mathematical functions
Perform data analysis and manipulation using data structures and tools provided in the Pandas 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 and matplotlib library of Python for data visualization
Course Curriculum