Data Science Intermediate

Certified Python for Data Science

The Certified Python for Data Science program by Beyond Campus Universal is designed to help learners build a strong foundation in Python programming and master the complete data science workflow. From data manipulation and visualization to feature engineering, exploratory data analysis, statistics, and real-world capstone projects, this program equips learners with practical skills required for careers in Data Analytics, Data Science, and Machine Learning.

4.9 (210+ reviews)

1200+ enrolled

4 Months total duration

📚 What You'll Learn

Python Programming

NumPy & Numerical Computing

Pandas Data Analysis

Data Cleaning & Preparation

Feature Engineering

Exploratory Data Analysis

Data Visualization

Statistics for Data Science

Git & GitHub

Real-world Data Collection

Portfolio Development

₹39,999 ₹60,000 33% off

Certificate of Completion

Downloadable Resources

Enroll Now

✨ Program Highlights

What makes the Certified Python for Data Science program exceptional

✨ Course Highlights

Industry-Oriented Curriculum

Hands-on Coding Labs

Real-world Business Case Studies

Portfolio-Ready Projects

Capstone Project

Career Guidance & Mock Interviews

Industry Expert Sessions

Professional TechX Certification

🎯 Learning Experience

Live interactive sessions

Guided hands-on practice

Real-world industry case studies

Capstone project implementation

Career preparation and employability modules

📖 Course Curriculum

🎯 MODULES

Syllabus for Certified Python for Data Science

Module 1: Python Programming Foundations

Python Fundamentals
Variables & Data Types
Operators
Conditionals
Loops
Functions
Lists
Tuples
Dictionaries
Sets
File Handling
Exception Handling

Module 2: Data Science Foundations

Data Science Workflow
Jupyter Notebook
Python Libraries
Dataset Types
Environment Setup
Dataset Exploration

Module 3: Data Analysis with NumPy & Pandas

NumPy Arrays
Vectorized Operations
Broadcasting
Pandas DataFrames
Filtering
Grouping
Merge & Join
Pivot Tables

Module 4: Data Preparation

Missing Values
Data Cleaning
Data Transformation
Duplicate Handling
Date Parsing
Regular Expressions
Outlier Detection

Module 5: Feature Engineering & EDA

Feature Engineering
Encoding
Binning
Date Features
EDA
Correlation Analysis
Trend Analysis
Business Insights

Module 6: Visualization & Statistics

Matplotlib
Seaborn
Plotly
Dashboard Design
Descriptive Statistics
Hypothesis Testing
Confidence Intervals
Machine Learning Readiness

Module 7: Portfolio & Capstone

Git & GitHub
Notebook Storytelling
Data Collection using APIs
Web Scraping
Capstone Project
Portfolio Development

🎓 Earn Recognized Credentials

❓ Frequently Asked Questions

Got questions? We've got answers

Is this course completely online?

Yes, this course is 100% online. You can access it anytime, anywhere with an internet connection.

Will I get a certificate after completion?

Yes, you will receive dual credentials - university academic accreditation along with internationally recognized IABAC certification upon successful completion.

Can I get a refund?

Yes, we offer a 30-day money-back guarantee if you're not satisfied with the course.

Is there any live support?

Yes, you'll get 24/7 support from our teaching assistants and access to community forums for doubt resolution.