Industry-Standard Curriculum

Python for Data Analytics and Machine Learning: Master Data Science & AI Fundamentals

Unlock the full potential of data with Python—one of the most powerful and versatile programming languages in the data science ecosystem.

Duration

2 Months

Total Hours

60 Hours

Level

Beginner to Intermediate

Format

Live + Recorded

Course Enrollment

Start Your Data Science Journey

Limited seats available for next batch

Enroll Now Chat on WhatsApp

For queries: +91 8792885644

Python Mastery

Core programming & data structures

10+ Projects

Real-world data science scenarios

Mentor Support

1:1 doubt clearing sessions

Dual Certification

Course + Project Completion

Detailed Curriculum Breakdown

Comprehensive 2-month structured learning path

Week 1-2: Python Programming

Python Basics: Variables, Data Types & Operators
Data Structures: Lists, Dictionaries & Tuples
Control Flow: Loops, Conditionals & Functions
File Handling & Exception Management

Week 3-4: Data Analysis with Pandas

Pandas DataFrames & Series Operations
Data Cleaning & Transformation Techniques
Advanced Indexing & Data Filtering
GroupBy Operations & Pivot Tables

Week 1-2: Visualization & Statistics

Matplotlib: Line, Bar & Scatter Plots
Seaborn: Heatmaps & Statistical Graphs
Statistical Analysis with SciPy & Statsmodels
Hypothesis Testing & Data Interpretation

Week 3-4: Machine Learning Fundamentals

Introduction to Scikit-learn Library
Regression Analysis: Linear & Logistic
Classification Algorithms & Model Evaluation
Clustering & Decision Trees Projects

Learning Outcomes & Career Benefits

Python Programming Mastery

Build strong foundation in Python for data science applications

Data Analysis Skills

Clean, transform & analyze complex datasets with Pandas

Data Visualization

Create compelling visualizations for business insights

ML Fundamentals

Implement basic machine learning algorithms

Career Readiness

Job-ready skills for data analyst & ML engineer roles

Industry Tools

Master tools used by 85% of data science teams

Statistical Analysis

Perform hypothesis testing & statistical modeling

Problem Solving

Solve real-world business problems with data

Tools & Technologies

Python 3.x

Core programming language

Pandas

Data analysis & manipulation

Matplotlib/Seaborn

Data visualization libraries

Scikit-learn

Machine learning algorithms

Certification & Placement Support

Dual Certification Program

Course Completion Certificate
Project Excellence Certificate
LinkedIn Profile Optimization
Resume Building Workshop
Mock Interview Sessions
Job Placement Assistance
Career Guidance Sessions

Frequently Asked Questions

No prior programming experience required. This course starts from absolute basics and is designed for complete beginners.

The course spans 2 months with 60 hours of instruction. Weekly commitment is approximately 7-8 hours including live sessions and practice.

You'll need a computer with Python 3.x installed. We'll guide you through installation of all required libraries (Pandas, Matplotlib, Scikit-learn, etc.).

Yes! We provide complete placement support including resume building, mock interviews, and connections with our hiring partner companies.

You can contact us via WhatsApp at +91 8792885644 for instant support, or use the WhatsApp button above to start a conversation.

Career Opportunities After Completion

Data Analyst

Analyze & interpret complex datasets

High Demand

Machine Learning Engineer

Build & deploy ML models

Growing Field

Business Analyst

Data-driven business insights

Premium Roles

Data Scientist

Advanced analytics & modeling

Future-Proof

Python Development