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Fractal Analytics

Python for Data Science

Master Python for data science with hands‑on projects. Learn pandas, statistics, and visualization to solve real‑world business problems. Build job‑ready skills in data wrangling, exploratory data analysis (EDA), and charting with matplotlib/seaborn—no prior experience required. This beginner‑friendly course guides you through cleaning messy data, applying descriptive and inferential statistics, and preparing datasets for machine learning. You’ll design analyses that answer business questions, communicate insights with compelling visuals, and complete challenging assessments aligned to workplace scenarios. By the end, you’ll confidently manipulate data in pandas, automate workflows, and build dashboards that stakeholders understand. Start your data‑driven journey and turn raw data into decisions.

Status: Statistical Methods
Status: Data Cleansing
BeginnerCourse40 hours

Featured reviews

KS

Reviewed Feb 18, 2024

Good course. Need more in-depth details with case studies.

VY

Reviewed Nov 14, 2023

All expert did a comprehending way of giving their knowledge for learning, a great work.

RP

Reviewed Jan 9, 2024

Great course for DS enthusiasts to get started using Python!

RS

Reviewed Dec 4, 2023

Great course - focusses on problem solving and application of python.

CH

Reviewed Jan 16, 2024

Great course for those who would like to learn Python from the application point of view.

DK

Reviewed Nov 28, 2023

Its a great course if you want to learn how to apply concepts in solving real business problems

All reviews

Showing: 20 of 49

Purbayan
1.0
Reviewed Jun 10, 2024
Divya
5.0
Reviewed Nov 29, 2023
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5.0
Reviewed Jan 17, 2024
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3.0
Reviewed Feb 5, 2025
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Reviewed Jan 16, 2024
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Reviewed Dec 12, 2025
CLAUDIA
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Reviewed Jul 19, 2025
Vivek
5.0
Reviewed Nov 15, 2023
Rasesh
5.0
Reviewed Dec 4, 2023
Ruchi
5.0
Reviewed Jan 10, 2024
JUAN
5.0
Reviewed Nov 21, 2025
Karan
5.0
Reviewed Feb 19, 2024
CHARLY
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Reviewed Dec 8, 2025
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Reviewed Mar 29, 2026
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Reviewed Jan 17, 2024
LEONARDO
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Reviewed Mar 30, 2026
anuar
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Reviewed Nov 21, 2025
Reshma
5.0
Reviewed Jan 10, 2024