Courses

Data Analysis and Visualization

Data Analysis and Visualization

Programming For Engineers

9 Courses

210 Lessons in 39 Chapters

20 Hours & 6 Minutes

Diploma Info Buy Now

Lessons
30 Lessons in 4 Chapters

Duration
1 Hours & 49 Minutes

Students
428 Students in 7 Countries

Instructor

Mostafa Emad Engineering Software Developer

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By the end of this module, participants will understand the fundamentals of data analysis and visualization in Python, including data manipulation, cleaning, and exploration using libraries such as Pandas and NumPy. They will be able to create insightful visualizations using Matplotlib and Seaborn to effectively interpret and present data. Additionally, they will apply these concepts to analyze engineering data and support data-driven decision-making.

Course Curriculum

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Chapter 01 - Introduction to Data Analysis in Python 6 Lessons

0:28:00

01-01 - Introduction to Data Analysis

0:04:00

01-02 - Data Analysis in Engineering Applications

0:05:00

01-03 - Data Driven Decision

0:05:00

01-04 - Data Processing and Analytics

0:04:00

01-05 - Working With Jupyter For Data Analysis

0:06:00

01-06 - Overview of Essential Python libraries: NumPy, Pandas, Matplotlib, Seaborn

0:04:00

Chapter 02 - Working with Data in Pandas 14 Lessons

0:43:00

02-01 - What is Pandas

0:02:00

02-02 - Creating and exploring Pandas Series

0:04:00

02-03 - Creating and exploring Pandas DataFrames

0:03:00

02-04 - Loading data from CSV

0:04:00

02-05 - Loading data from Excel,

0:02:00

02-06 - Loading data from JSON,

0:03:00

02-07 - Data Cleaning and Preprocessing : Handling missing and duplicate data

0:05:00

02-08 - Data Cleaning and Preprocessing : Filtering,

0:03:00

02-09 - Sorting and Rearranging Data

0:03:00

02-10 - Selecting Rows and Columns

0:03:00

02-11 - Adding and Modifying Columns

0:03:00

02-12 - Aggregation and Grouping

0:03:00

02-13 - Merging and Joining DataFrames

0:03:00

02-14 - Exporting Data To CSV and Excel

0:02:00

Chapter 03 - Data Visualization with Matplotlib7 Lessons

0:21:00

03-01 - What is Data Visualization

0:04:00

03-02 - Data Visualization for Engineering Applications

0:03:00

03-03 - Matplotlib : Line Plots

0:02:00

03-04 - Matplotlib : Bar Charts

0:03:00

03-05 - Matplotlib : Scatter Plots

0:03:00

03-06 - Matplotlib : Plot Customization (Titles , Legend , Labels , Colors )

0:04:00

03-07 - Exporting visualizations for Reports

0:02:00

Chapter 04 - Working with Time-Series and Real-Time Data3 Lessons

0:17:00

04-01 - Introduction to time-series Data in Engineering

0:02:00

04-02 - Working with datetime data in Pandas

0:08:00

04-03 - Streaming and processing live data

0:07:00