Deep Dive into NumPy and Various Operations with Arrays

This course – with expert Pramod Gupta -- provides an introduction to the Python programming language essential for data manipulation, statistical analysis, and modeling techniques required for machine learning and artificial intelligence.

This is module #5

Introduction to Pandas, Pandas Series and Various Operations on Series

This course – with expert Pramod Gupta -- provides an introduction to the Python programming language essential for data manipulation, statistical analysis, and modeling techniques required for machine learning and artificial intelligence.

This is module #6

Introduction to Pandas DataFrame and Various Operations with DataFrames

This course – with expert Pramod Gupta -- provides an introduction to the Python programming language essential for data manipulation, statistical analysis, and modeling techniques required for machine learning and artificial intelligence.

This is module #7

Data Cleaning and Transformation with Pandas

This course – with expert Pramod Gupta -- provides an introduction to the Python programming language essential for data manipulation, statistical analysis, and modeling techniques required for machine learning and artificial intelligence.

This is module #8

Data Visualization with Matplotlib/Seaborn

This course – with expert Pramod Gupta -- provides an introduction to the Python programming language essential for data manipulation, statistical analysis, and modeling techniques required for machine learning and artificial intelligence.

This is module #9

Introduction to Machine Learning and Scikit-Learn

This course – with expert Pramod Gupta -- provides an introduction to the Python programming language essential for data manipulation, statistical analysis, and modeling techniques required for machine learning and artificial intelligence.

This is module #10

Getting Started with Pandas – Installation, Jupyter, and Example

This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python and Pandas expert and author.

This is module #1

Introduction to Machine Learning and Its Technologies

This Python for Data Science course is an introduction to Python and how to apply it in data science. The course contains ~60 lectures and 9.5 hours of content taught by Praba Santanakrishnan, a highly experienced data scientist from Microsoft.

This is Module #1

Panda Series Objects

This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python and Pandas expert and author.

This is module #2

Python Fundamentals & NumPy Package

This Python for Data Science course is an introduction to Python and how to apply it in data science. The course contains ~60 lectures and 9.5 hours of content taught by Praba Santanakrishnan, a highly experienced data scientist from Microsoft.

This is Module #2

Panda DataFrame Objects

This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python and Pandas expert and author.

This is module #3

Data Analysis using Pandas and Data Visualization

This Python for Data Science course is an introduction to Python and how to apply it in data science. The course contains ~60 lectures and 9.5 hours of content taught by Praba Santanakrishnan, a highly experienced data scientist from Microsoft.

This is Module #3

Panda Grouping

This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python and Pandas expert and author.

This is module #4

Supervised (Regression and Classification) & Unsupervised (Clustering) Machine Learning

This Python for Data Science course is an introduction to Python and how to apply it in data science. The course contains ~60 lectures and 9.5 hours of content taught by Praba Santanakrishnan, a highly experienced data scientist from Microsoft.

This is Module #4

Panda Tips and Tricks

This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python and Pandas expert and author.

This is module #5

Understanding and Applying the Key Tools for Big Data Analytics

This course introduces you to big data analytics and shines a new light on the entire field of data science. How do you transform data into usable and actionable information? Why is data more valuable than money? How do you put the pieces together?