Beginner-Friendly Data CourseLive
Data Analysis with Python Bootcamp
Become a Data Analyst with Python, Pandas & Real Business Projects
Learn how to clean, analyze, and visualize data using Python. Build real-world projects and become job-ready for data analyst roles.
Course Content
01Python Foundations & Data Cleaning
Weeks 1-2
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Topics Covered
play_circlePython Basics for Data Analysis: Variables & Lists
play_circlePandas Intro: Series, DataFrames & Reading CSV/Excel
play_circleHandling Missing Values, Duplicates & Filtering
02Analysis & Visualization
Weeks 3-5
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Topics Covered
play_circleGroupby operations, Aggregations & Pivot tables
play_circleData Visualization with Matplotlib & Seaborn: Line, Bar & Scatter charts
play_circleDeriving Business KPIs and Insights from Clean Datasets
03Statistics & Capstone
Weeks 6-8
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Topics Covered
play_circleProbability, Distributions & A/B Testing Basics
play_circleEnd-to-End Capstone Project Development & Presentation
play_circleData Analyst Portfolio Polish & Mock Interviews
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Practical Learning
No dry theory. We build real projects from scratch.
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Lifetime Updates
The course is constantly updated as soon as new features appear.
Benefits
Why This Course Stands Out
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Learn Pandas, EDA, Visualization, Statistics end-to-end
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Work on real datasets (sales, eCommerce, marketing)
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Focus on business insights, not just coding
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Includes portfolio project + interview prep
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Designed for Data Analyst roles
Available Batches
Enroll in an upcoming cohort and learn alongside peers with live sessions.
Active50 seats left
Cohort 1 (Launch Batch)
calendar_todayJul 10, 2026 → Sep 8, 2026
Prerequisites
- check_circleBasic computer knowledge
- check_circleNo coding experience required
- check_circleWillingness to practice datasets
Projects You Will Build
Sales Data Analysis Project
Clean and analyze structured business data.
eCommerce Data Cleaning Project
Handle real-world messy datasets and clean outliers.
Exploratory Data Analysis (EDA) Project
Find trends, patterns, and insights in user behavior data.
Final Portfolio Data Analysis Project
End-to-end analysis (clean → analyze → visualize → report).
verifiedHigh Quality Content
scheduleSelf-Paced Learning
Matplotlib & Seaborn
