Interactive Recorded

Coded Data Analysis

Learn Python fundamentals and libraries like NumPy and Pandas for data analysis, with hands-on practice on real-world datasets.

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This course contains the following:

Duration: 4h 14min

Accredited Certificate of Completion :

Lifetime Access

Language: Arabic

Overview

This course offers a comprehensive training in data analysis, focusing on the use of Python and its powerful libraries. The curriculum starts with a foundational introduction to Python, including data types, operators, and control flow. It then delves into specialized libraries like NumPy and Pandas, where you will learn to work with ndarrays and manipulate data within Series and DataFrames. The course also covers the end-to-end data analysis process, from reading files and cleaning data to exploring it through visualizations and practical case studies.

Coded Data Analysis

Made by

This course contains the following:

Overview

Course Content

Lecture Schedule:

Pre Assessment

Introduction

Functions and Libraries

Data Analysis and visualization

Post Assessment

Fahym

Fahym

Coded Data Analysis

Made by

This course contains the following:

Overview

Course Content

Lecture Schedule:

Pre Assessment

Introduction

Functions and Libraries

Data Analysis and visualization

Post Assessment

Learning Outcomes

Who should Enroll

Instructor

Sayed Abdelmonem

This course contains the following:

Coded Data Analysis

Made by

This course contains the following:

Overview

Course Content

Lecture Schedule:

Pre Assessment : - Number Of lessons : 0

Pre Assessment

Introduction :1h 23min - Number Of lessons : 10

Introduction

Functions and Libraries :1h 30min - Number Of lessons : 10

Functions and Libraries

Data Analysis and visualization :1h 20min - Number Of lessons : 9

Data Analysis and visualization

Post Assessment : - Number Of lessons : 0

Post Assessment

Fahym

Fahym

Coded Data Analysis

Made by

This course contains the following:

Overview

Course Content

Lecture Schedule:

Pre Assessment : - Number Of lessons : 0

Pre Assessment

Introduction :1h 23min - Number Of lessons : 10

Introduction

Functions and Libraries :1h 30min - Number Of lessons : 10

Functions and Libraries

Data Analysis and visualization :1h 20min - Number Of lessons : 9

Data Analysis and visualization

Post Assessment : - Number Of lessons : 0

Post Assessment

Learning Outcomes

Who should Enroll

Instructor

Sayed Abdelmonem

This course contains the following: