Python for Data Analytics (50 Hours)
Turn Data Into Insights With Python — No Prior Coding Required
Python is the most widely used programming language for data analytics, business intelligence, and AI applications. Learning Python for data analytics empowers you to extract insights, make data-driven decisions, and advance into high-demand tech careers. The Python for Data Analytics Bootcamp at Vijay Computer Academy teaches you practical Python skills, data manipulation, visualization, and analysis, all through hands-on exercises and real-world datasets. In 50 hours, you will gain the skills needed to start entry-level data analytics or Python-driven roles, even if you’ve never written a line of code.
Python for Data Analytics (50 Hours)
50 Hours · Courses · Certificate
$500
$6,200
Save 11%
Online Bootcamp · Batch starts May 2026
- 50 Hours Live Instructor-Led Training
- Beginner-Friendly Curriculum
- Hands-On Python Coding for Data Analysis
- Work With Real Datasets & Tools
- Build a Portfolio Project for Data Analytics
- Certification of Completion from VCA
Questions? Reach us directly
Program Benefits
Skills You Will Learn
After completing this bootcamp, you will be able to:
Load, clean, and manipulate datasets with Python
Use Pandas and NumPy for data processing
Create insightful visualizations with Matplotlib and Seaborn
Perform basic statistical analysis on datasets
Automate data tasks and calculations with Python
Solve real-world problems using Python scripting
Graduate with 2–3 working AI chatbot projects.
Build a capstone project demonstrating your analytical skills
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3.5M+
Cybersecurity Job Openings Globally
31%
Faster-than-Average Job Growth
$96K
Average Annual Salary
150h
Total Training Hours
Skills & Tools
What You Will Learn
By completing this program, you will gain practical skills in:
Python Fundamentals for Data Analytics
Variables, loops, conditionals, and functions — the foundations for data analysis.
Data Manipulation
Using Pandas and NumPy to clean, transform, and aggregate data.
Data Visualization
Creating charts and dashboards with Matplotlib and Seaborn to communicate insights.
Statistical Analysis
Basic statistics, correlation, trends, and hypothesis testing in Python.
Working With Real Datasets
Importing, cleaning, and analyzing CSV, Excel, and JSON datasets.
Course Content
Program Curriculum
9 comprehensive modules covering every aspect of cybersecurity from fundamentals to advanced cloud defense.
Course Content
Module 1: Python Basics (8h)
Module 2: Loops, Lists & Strings (8h)
Enrollment Plans
Choose Your Training Path
Two flexible formats designed to fit your schedule and learning style.
Training Options
SELF PACED LEARNING
- Lifetime access to high-quality self-paced e-learning content curated by Bl industry experts
- 24x7 learner assistance and support
- Lifetime access to high-quality self-paced e-learning content and live class recordings
66.67% Off
$500 $1,500
ONLINE BOOTCAMP
Preferred- Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access
33.4% Off
$999 $1,500
Turn Data Into Insights With Python — No Prior Coding Required
Python is the most widely used programming language for data analytics, business intelligence, and AI applications. Learning Python for data analytics empowers you to extract insights, make data-driven decisions, and advance into high-demand tech careers. The Python for Data Analytics Bootcamp at Vijay Computer Academy teaches you practical Python skills, data manipulation, visualization, and analysis, all through hands-on exercises and real-world datasets. In 50 hours, you will gain the skills needed to start entry-level data analytics or Python-driven roles, even if you’ve never written a line of code.Program Highlights
- 50 Hours Live Instructor-Led Training
- Beginner-Friendly Curriculum
- Hands-On Python Coding for Data Analysis
- Work With Real Datasets & Tools
- Build a Portfolio Project for Data Analytics
- Certification of Completion from VCA
Skills You Will Learn
After completing this bootcamp, you will be able to:- Load, clean, and manipulate datasets with Python
- Use Pandas and NumPy for data processing
- Create insightful visualizations with Matplotlib and Seaborn
- Perform basic statistical analysis on datasets
- Automate data tasks and calculations with Python
- Solve real-world problems using Python scripting
- Prepare datasets for machine learning workflows
- Build a capstone project demonstrating your analytical skills