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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.

Certificate included
Beginner friendly
Practical learning
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Course Content

01

Python 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
02

Analysis & 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
03

Statistics & 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

verifiedHigh Quality Content
scheduleSelf-Paced Learning
groupCommunity Support

Available Batches

Enroll in an upcoming cohort and learn alongside peers with live sessions.

Active50 seats left

Cohort 1 (Launch Batch)

calendar_todayMay 25, 2026Jul 24, 2026

$299

One-time

Enroll Now

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).

Tools You Will Master

Python
Pandas & NumPy
Matplotlib & Seaborn
Jupyter Notebook
Basic Statistics
Testimonials

What others say

SVEN

I can't emphasize enough how valuable this course is. Learning Python through this course completely shifted my professional focus.

SVEN

SOFTWARE ENGINEER

SABINE R.

I would recommend the course to anyone who truly wants to understand and learn Python. The approach is unique and super practical.

SABINE R.

DATA SCIENTIST

LUCA

Better than any university course. This course is much closer to the real workday of a software developer.

LUCA

BACKEND DEVELOPER

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