Dive into a comprehensive 9.5-hour video course on Python for Data Analysis, covering essential libraries like NumPy, Pandas, Matplotlib, Seaborn, and Scikit-Learn. Work on hands-on projects analyzing IPL data, FIFA stats, and Marvel vs. DC characters. Explore advanced topics such as anomaly detection, Generative AI, and comparing GPT 3.5 and 4 for dataset analysis. Learn to create various types of plots, handle missing data, perform regression modeling, and conduct univariate analysis. Gain practical knowledge in Python programming, data manipulation, visualization techniques, and machine learning algorithms. By the end of this course, acquire the skills to transform raw data into meaningful insights using Python and AI tools, preparing you for a career in data analysis and data science.
Transform Your Data Analysis Skills in 2024 - Python and Generative AI
Overview
Syllabus
Introduction
NumPy Python Tutorial
How to Create NumPy Array
How to Initialize NumPy Array
How to check the shape of NumPy arrays
How to Join NumPy Arrays
NumPy Intersection & Difference
NumPy Array Mathematics
NumPy Matrix
How to Transpose NumPy Matrix
NumPy Matrix Multiplication
NumPy Save & Load
Python Pandas Tutorial
Pandas Series Object
Pandas Dataframe
Matplotlib Python Tutorial
Line plot
Bar plot
Scatter Plot
Histogram
Box Plot
Violin Plot
Pie Chart
DoughNut Chart
SeaBorn Line Plot
SeaBorn Bar Plot
SeaBorn ScatterPlot
SeaBorn Histogram/Distplot
SeaBorn JointPlot
SeaBorn BoxPlot
What is Scikit learn?
Installing Scikit learn
Support for Algorithms
Applications of Scikit learn
Advantages and Disadvantages
Practical Demo in Python
Introduction to SciPy
Installing SciPy
Sub Packages in SciPy
SciPy Clusters
SciPy Constants
SciPy FFTPack and Interpolation
SciPy Linalg and Ndimage
Anomaly or Outlier Detection
Python Project on IPL Data
Python Project on FIFA
Python Project on Marvel and DC Characters
Python Project on Game of Thrones Data
Python Project on COVID-19 Data
Evolution of Computers
Understanding Generative AI
Discriminative vs Generative AI
Why is Gen AI trending?
How Gen AI works?
Types of Generative AI
Applications of Generative AI
Introduction to Data Analysis using ChatGPT
Data Analysis using Python - Outline
Understanding the Car-MPG Dataset
Car-MPG - Distribution of Origin Variable
Car-MPG - Handling Missing Values
Car-MPG - Regression Modeling
Car-MPG - Summary Statistics
Car-MPG - Univariate Analysis and Correlation Matrix
Taught by
Great Learning
