This video on Python for Data Analysis course covers essential libraries like NumPy, Pandas, Matplotlib, Seaborn, and Scikit-Learn. You'll work on hands-on projects such as analyzing IPL data, FIFA stats, and Marvel vs. DC characters. It also covers topics like anomaly detection, Generative AI, and comparing GPT 3.5 and 4 for dataset analysis, equipping you with practical knowledge of Python and AI tools for data analysis.
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Advance your career in the growing field of data analysis and explore essential tools and techniques for working with libraries in this free online Python for Data Analysis course—enroll now! https://www.mygreatlearning.com/pg-program-data-science-course?utm_source=CPV_YT&utm_medium=PPDesc2&utm_campaign=TrnsfrmyrDtAnlyssskllsPythGnAI_2024
🏁 Topics Covered:
00:00:00 Introduction
00:02:07 NumPy Python Tutorial
00:02:33 How to Create NumPy Array
00:05:42 How to Initialize NumPy Array
00:13:09 How to check the shape of NumPy arrays
00:15:27 How to Join NumPy Arrays
00:19:04 NumPy Intersection & Difference
00:22:33 NumPy Array Mathematics
00:30:02 NumPy Matrix
00:32:37 How to Transpose NumPy Matrix
00:34:05 NumPy Matrix Multiplication
00:35:51 NumPy Save & Load
00:38:28 Python Pandas Tutorial
00:38:56 Pandas Series Object
00:49:22 Pandas Dataframe
01:02:43 Matplotlib Python Tutorial
01:02:57 Line plot
01:17:15 Bar plot
01:23:23 Scatter Plot
01:31:21 Histogram
01:38:00 Box Plot
01:41:42 Violin Plot
01:42:42 Pie Chart
01:47:24 DoughNut Chart
01:49:48 SeaBorn Line Plot
01:58:12 SeaBorn Bar Plot
02:05:55 SeaBorn ScatterPlot
02:11:11 SeaBorn Histogram/Distplot
02:17:36 SeaBorn JointPlot
02:21:07 SeaBorn BoxPlot
02:29:45 What is Scikit learn?
02:44:21 Installing Scikit learn
02:51:31 Support for Algorithms
02:56:18 Applications of Scikit learn
03:04:28 Advantages and Disadvantages
03:10:16 Practical Demo in Python
03:27:05 Introduction to SciPy
03:29:35 Installing SciPy
03:35:17 Sub Packages in SciPy
03:41:29 SciPy Clusters
03:49:18 SciPy Constants
03:54:14 SciPy FFTPack and Interpolation
04:03:07 SciPy Linalg and Ndimage
04:13:43 Anomaly or Outlier Detection
05:28:58 Python Project on IPL Data
06:12:08 Python Project on FIFA
06:42:57 Python Project on Marvel and DC Characters
07:12:44 Python Project on Game of Thrones Data
07:32:40 Python Project on COVID-19 Data
08:02:36 Evolution of Computers
08:03:25 Understanding Generative AI
08:05:49 Discriminative vs Generative AI
08:07:05 Why is Gen AI trending?
08:09:03 How Gen AI works?
08:10:20 Types of Generative AI
08:11:17 Applications of Generative AI
08:13:31 Introduction to Data Analysis using ChatGPT
08:16:40 Data Analysis using Python - Outline
08:26:58 Understanding the Car-MPG Dataset
08:42:45 Car-MPG - Distribution of Origin Variable
08:46:42 Car-MPG - Handling Missing Values
08:56:02 Car-MPG - Regression Modeling
09:09:10 Car-MPG - Summary Statistics
09:18:31 Car-MPG - Univariate Analysis and Correlation Matrix
#dataanalytics #python #genai
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