Data Analysis & AI in Python (Beginner to Advanced)

### 💰 Course Fee Details

| 🌍 Currency | 💵 Regular Fee | 🎉 Discounted Fee (70% OFF) |

| ------------------ | -------------- | --------------------------- |

| 🇵🇰 PKR | 13,500 | 4,050 |

| 🇧🇩 BDT | 6,000 | 1,741 |

| 🇨🇳 RMB (CNY) | 350 | 102.08 |

| 💵 USD | 50 | 15 |

🔥 Limited Seats Available!

Join the 21st Batch and become part of the global data revolution with PyRlytics LLC.

💡 Learn Data analysis and advance visualization in Python & AI from Scratch to Advanced — with Certificate!

📩 Enroll Now →


📘 Full Module Breakdown

🔹 Module 1: Introduction to Python and Anaconda

* Installation

* Working Directory & File Operations

🔹 Module 2: Exploratory Data Analysis (EDA)

* Summary Statistics & Distribution

* Outlier & Missing Value Detection

* Data Transformation

* EDA using dplyr, DataExplorer

🔹 Module 3: Data Visualization (Basic to Advanced)

* Bar Charts, Histograms, Boxplots, Scatterplots

* Violin, Bubble, Heatmaps, Ridge & Pair Plots

* Multi-panel Layouts with Facets

* Interactive Plots

* Geospatial Visualization with

🔹 Module 4: Statistical Analysis

* Descriptive & Inferential Stats

* t-tests, Z-test, Chi-square, F-test

* Hypothesis Testing

* Correlation & Covariance

* Probability Distributions

🔹 Module 5: Regression Analysis (All Major Types)

* Simple & Multiple Linear Regression

* Polynomial Regression

* Logistic Regression (Binary, Multinomial, Ordinal)

* Ridge, Lasso, Elastic Net

* Stepwise Regression (Forward/Backward)

* Non-linear & Quantile Regression

* Robust Regression

* GLM & GAM

* Survival Regression (Cox Model)

* Multilevel/Hierarchical Regression

* Structural Equation Modeling (SEM)

* Mixed-Effects Models

🔹 Module 6: Non-Parametric Tests

* Mann–Whitney U, Wilcoxon, Kruskal–Wallis

* Friedman Test, Kolmogorov–Smirnov

* Sign Test, Spearman Rank

🔹 Module 7: Multivariate Analysis

* PCA, Factor Analysis, Cluster Analysis

* Discriminant Analysis (LDA, QDA)

* MDS, Canonical Correlation, Correspondence Analysis

🔹 Module 8: Time Series Analysis

* Time Series Decomposition

* Moving Average, Exponential Smoothing

* ACF/PACF, ARIMA/SARIMA

* Forecasting Models (forecast, prophet)

* Seasonality and Stationarity

🔹 Module 9: Specialized Visualizations

* Network Analysis with igraph, ggraph

* Chord Diagrams (circlize)

* Sankey, Radar Charts, Circular Bar Plots

* Word Clouds, Treemaps, Sunburst

* Survey Data & Likert Visualization

🎯 What You'll Gain

✅ Skills in R for real-world data analysis

✅ E certificate

✅ Publishable-quality visualizations

✅ Confidence in statistical modeling

🎉 Don’t Miss This Chance to Upgrade Your Skills!

📈 Whether you're a student, academic, or professional, this course is your stepping stone to mastering R and AI in data analysis.

Dr. Syed Atiq Hussain

PyRlytics