Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models.

In this course, you will learn both the basics of conducting data science and how to perform data analysis in python. This course is intended for learners who have a basic knowledge of …

Learn modern techniques of Data Analysis using Python and popular open-source libraries like pandas, scikit-learn and numpy and transform data into insights.

solve real-world problems in different domains. Topics include data representation, manipulation and clearing, visualization, regression, convolutional and recurrent neural networks, …

This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data …

This week you will focus on modeling data with Python and interpreting the model results. You complete a data analytics challenge that applies the knowledge of Python and the application …

The training is divided into four knowledge chapters: Python and Jupyter basics, Data Analysis with Pandas and Matplotlib, Fundamentals of Machine Learning, and Practical Machine …

Learn the basics of predictive analysis and Data Science. Demonstrate how to use exploratory data analysis (EDA) to perform initial data investigations that will help discover patterns and …

Program Syllabus Term 1: Data Analysis with Python Module 1 - Data Science Funda-mentals • Thought Experiment: Data Science from a layman’s perspective • Brief intro to Data Science • …

Hands-on Python programming skills for data analysis. Skills include finding a solution for a given problem and casting it as an. Group office hours are held on the day homework is due, they …