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Python for Data Analysis

DURATION 28h 55m Long
CERTIFICATION Querytech Academy

Course Overview

This practical, hands-on course teaches Python programming with a strong focus on data analysis. Learners will master essential Python libraries (Pandas, NumPy, Matplotlib, Seaborn) to effectively clean, analyze, explore, and visualize data. The course bridges programming fundamentals with real-world data analysis workflows used by business analysts and data professionals.

Curriculum Structure

Comprehensive modules designed for real-world impact

1

Python Fundamentals for Data Analysts

Variables, data types, control structures, functions, and list comprehensions

2

Data Structures & File Handling

Lists, Dictionaries, Sets, Tuples, and working with CSV/Excel files

3

Introduction to NumPy

Arrays, vectorized operations, and numerical computing

4

Pandas Mastery – Data Frames & Series

Loading, inspecting, and basic manipulation of data

5

Data Cleaning & Transformation

Handling missing values, duplicates, data types, and string operations

6

Exploratory Data Analysis (EDA)

Descriptive statistics, grouping, pivoting, and pattern discovery

7

Data Visualization with Matplotlib & Seaborn

Create insightful charts, histograms, scatter plots, and heatmaps

8

Advanced Pandas & Data Wrangling

Merging, joining, multi-index, time series analysis

9

Real-World Projects & Case Studies

End-to-end analysis on business datasets (sales, marketing, finance)

10

Best Practices & Performance Tips

Code optimization, memory management, and reproducible analysis

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