Courses

Data Analysis and Visualization

Data Analysis and Visualization
300 USD
Programming For Engineers
9 Courses
244 Lessons in 42 Chapters
25 Hours & 24 Minutes
Lessons
32 Lessons in 4 Chapters
Duration
3 Hours & 21 Minutes
Students
0 Student in 0 Country
Instructor
Mostafa Emad Engineering Software Developer
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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01-01 - Introduction to Data Analysis
 0:06:00
01-02 - Data Analysis in Engineering Applications
 0:06:00
01-03 - Data Driven Decision
 0:06:00
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
 0:09:00
02-01 - What is Pandas
 0:04:00
02-02 - Creating and exploring Pandas Series
 0:06:00
02-03 - Creating and exploring Pandas DataFrames
 0:05:00
02-04 - Loading data from CSV
 0:04:00
02-05 - Loading data from Excel,
 0:05:00
02-06 - Loading data from JSON,
 0:06:00
02-07 - Data Cleaning and Preprocessing : Handling missing and duplicate data
 0:10:00
02-08 - Data Cleaning and Preprocessing : Filtering,
 0:06:00
02-09 - Data Cleaning and Preprocessing : Sorting
 0:06:00
02-10 - Data Cleaning and Preprocessing : Selections
 0:07:00
02-11 - Data Cleaning and Preprocessing : Data Transformation
 0:08:00
02-12 - Data Cleaning and Preprocessing : standardizing Data Sets
 0:09:00
02-13 - Data Aggregation and Grouping : summarizing data groupby()
 0:06:00
02-14 - Data Aggregation and Grouping : Applying aggregation (sum, mean, count)
 0:06:00
02-15 - Data Aggregation and Grouping : Pivot Tables
 0:07:00
03-01 - What is Data Visualization
 0:04:00
03-02 - Data Visualization for Engineering Applications
 0:06:00
03-03 - Matplotlib : Line Plots
 0:06:00
03-04 - Matplotlib : Bar Charts
 0:06:00
03-05 - Matplotlib : Scatter Plots
 0:06:00
03-06 - Matplotlib : Plot Customization (Titles , Legend , Labels , Colors )
 0:07:00
03-07 - Exporting visualizations for Reports
 0:05:00
04-01 - Introduction to time-series Data in Engineering
 0:05:00
04-02 - Working with datetime data in Pandas
 0:08:00
04-03 - Streaming and processing live data
 0:07:00
04-04 - Visualizing real-time sensor data in Engineering Applications
 0:09:00