Master Data Analysis with Python: Complete 2024 Guide
Focused View
4:31:37
1 -Basic Python programming concepts.mp4
07:19
2 -Understanding data analysis.mp4
07:04
1 -Creating NumPy arrays from Python lists.mp4
07:35
2 -Array indexing, slicing, and reshaping.mp4
06:57
3 -Basic operations with NumPy arrays.mp4
07:20
4 -Mathematical functions in NumPy.mp4
07:00
5 -Working with multidimensional arrays.mp4
08:12
6 -Random number generation.mp4
06:03
7 -Reading and writing files with NumPy.mp4
07:22
1 -Creating and understanding DataFrames.mp4
07:54
2 -Importing and exporting data (CSV, Excel, JSON).mp4
09:15
3 -DataFrame indexing and selection.mp4
06:39
4 -Adding, removing, and updating data.mp4
08:39
5 -Handling missing data.mp4
09:26
6 -Data filtering, sorting, and grouping.mp4
08:24
7 -Understanding time series data.mp4
06:36
8 -Working with dates and times in Pandas.mp4
07:11
9 -Time series analysis and manipulation.mp4
08:27
1 -Identifying and handling missing data.mp4
06:20
2 -Removing duplicates.mp4
08:31
3 -Data transformation and normalization.mp4
11:24
4 -Merging, joining, and concatenating DataFrames.mp4
12:11
5 -Reshaping and pivoting data.mp4
10:41
6 -Applying functions to DataFrames.mp4
07:06
1 -Importance of data visualization.mp4
06:19
2 -Basic plotting with Pandas.mp4
10:05
3 -Customizing plots (titles, labels, colors).mp4
08:36
4 -Creating complex visualizations (histograms, scatter plots, box plots).mp4
10:45
1 -Memory optimization techniques.mp4
07:14
2 -Efficient computation with large datasets.mp4
08:41
3 -Preparing data for machine learning.mp4
09:39
4 -Working with dates and times in Pandas.mp4
07:11
5 -Basic machine learning algorithms using Pandas and NumPy.mp4
09:31
More details
Course Overview
This comprehensive course teaches you to master data analysis using Python, NumPy, and Pandas. From basic programming concepts to advanced visualization techniques, you'll gain hands-on experience with real-world data processing skills.
What You'll Learn
- Fundamentals of Python programming for data analysis
- Advanced data manipulation with NumPy and Pandas
- Professional data visualization techniques
Who This Is For
- Beginners interested in data analysis with Python
- Data enthusiasts looking to gain in-demand skills
- Professionals wanting to enhance their analysis capabilities
Key Benefits
- No prior knowledge required - start from scratch
- Hands-on experience with real data tools
- Learn memory optimization for large datasets
Curriculum Highlights
- Introduction to Python for Data Analysis
- Mastering NumPy for Numerical Computing
- Data Manipulation with Pandas
