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?

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

Intro 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

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

Data Manipulation Techniques – Part 1

This course – with expert Pramod Gupta -- examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis.

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

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 Manipulation Techniques – Part 2

This course – with expert Pramod Gupta -- examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis.

This is module#4

Python Classes and Exceptions

This Python course prepares teaches the fundamentals of Python. It shows how to interact with Python, the common data structures, looping, classes, exceptions, file handling, environments and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python expert and author.

This is Module#5

Panda Time Series

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

Hadoop for Executives and Managers

This course is designed to equip decision makers with an understanding of Hadoop. To fully understand the impact Hadoop has on your infrastructure, it is critical to understand its business benefits, required resources, and potential uses.

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

Advanced Data Manipulation

This course – with expert Pramod Gupta -- examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis.

This is module#5

Presenting Python analysis and results to teams

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

Visualization

This course – with expert Pramod Gupta -- examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis.

This is module#6

Python Libraries, Environments, and Wrapup

This Python course prepares teaches the fundamentals of Python. It shows how to interact with Python, the common data structures, looping, classes, exceptions, file handling, environments and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python expert and author.

This is Module#6

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 #6

Probability and Estimation

This course – with expert Pramod Gupta -- examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis.

This is module#7

Modeling

This course – with expert Pramod Gupta -- examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis.

This is module#8

Regression

This course – with expert Pramod Gupta -- examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis.

This is module#9

Time Series Analysis

This course – with expert Pramod Gupta -- examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis.

This is module#10