Data Analysis With Python

Learn Python programming, data analysis, data visualization, machine learning, statistics, data preprocessing, and real-world analytics workflows used in modern industries.

Complete Data Analysis Training

Beginner → Advanced Level Training

Course Overview

Data Analysis with Python involves collecting, cleaning, analyzing, interpreting, and visualizing data using Python programming and modern data analysis libraries. This course is specially designed for students, job seekers, analysts, developers, and professionals who want to build strong skills in data analytics and business intelligence. Students will learn Python fundamentals, NumPy, Pandas, data visualization, exploratory data analysis, machine learning basics, statistical analysis, and real-world project implementation. The course includes practical projects, hands-on datasets, dashboards, reporting, automation workflows, and industry-oriented case studies to build strong practical experience. By the end of the course, students will confidently analyze data, generate insights, build reports, visualize trends, and solve real-world business problems using Python and modern analytics tools.

Course Syllabus

Python Fundamentals

Variables & Data Types
Operators
Conditional Statements
Loops
Functions & Modules
File Handling

Data Manipulation

NumPy Arrays
Array Operations
Pandas DataFrames
Data Filtering & Sorting
Data Cleaning
Handling Missing Values

Data Visualization

Matplotlib Basics
Histograms & Scatter Plots
Seaborn Visualization
Heatmaps
Pair Plots
Interactive Dashboards

Exploratory Data Analysis

Descriptive Statistics
Correlation Analysis
Distribution Analysis
Outlier Detection
Trend Analysis
Data Interpretation

Statistical Analysis

Hypothesis Testing
T-Test & ANOVA
Chi-Square Test
Linear Regression
Model Evaluation
Statistical Reporting

Data Cleaning & Preprocessing

Missing Value Treatment
Feature Engineering
Data Scaling
Data Normalization
Encoding Techniques
Data Transformation

Time Series Analysis

Time Series Data
Rolling Statistics
Forecasting Techniques
ARIMA Models
Seasonal Analysis
Trend Forecasting

Machine Learning Basics

Supervised Learning
Classification
Regression Models
Clustering Techniques
PCA & Dimensionality Reduction
Scikit-Learn Basics

Text Data Analysis

Text Preprocessing
Tokenization
Stopword Removal
Sentiment Analysis
Text Classification
NLP Basics

Real World Projects

Business Analytics Projects
Financial Data Analysis
Healthcare Analytics
Sales Dashboard Projects
Data Reporting Systems
Industry Case Studies

📊 Real Analytics Projects

🚀 Industry-Level Training

📈 Placement & Career Support