Udemy

Free Python Data Analysis Mini-Course: Inspect and Filter with Pandas

A first data-analysis task often starts with understanding the table in front of you. Najib Mozahem introduces notebooks and pandas, then demonstrates loading information, inspecting columns and finding missing values.

Free Python Data Analysis Mini-Course: Inspect and Filter with Pandas — Najib Mozahem. WikiFree selection.
Free learning access

Listed as Free on Udemy when checked on 21 October 2026. No coupon or subscription trial is required for the listed lessons. Enrollment needs a Udemy account; availability can change.

About this course

A first data-analysis task often starts with understanding the table in front of you. Najib Mozahem introduces notebooks and pandas, then demonstrates loading information, inspecting columns and finding missing values.

The listed lessons progress into selecting rows and columns and filtering records with multiple conditions. Examples use a public crime dataset to illustrate these operations; the course is teaching data handling, rather than drawing conclusions about individuals.

Official course Becoming a Data Analyst Using Python – Free Sample
Created by Najib Mozahem
Platform Udemy
Language English
Level Beginner — Udemy listing
Listed duration 111 minutes; 22 lectures across 4 sections
Certificate Not included with a new free enrollment

Skills you’ll gain

  • Inspecting a pandas table
  • Identifying missing values
  • Selecting rows and columns
  • Combining filtering conditions

No previous Python experience is required. All twenty-two lessons belong to this separately listed free sample. Broader promises about interactive maps and advanced visualization refer to material beyond the displayed sample syllabus, so those topics should not be expected here. Software interfaces may differ from the 2023 recording.

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Choose your next step

Try the database equivalent: SQL selection, filtering and sorting. Compare pandas conditions with queries that retrieve rows from a database.

Improve your input data: Data quality and reference data management. Look beyond missing values to consistency and the meaning of shared data fields.

Frequently asked questions

Do I need Python experience?

The instructor lists no previous Python knowledge as a requirement. Expect to work in notebooks and follow the introductory setup before using pandas.

Are mapping and advanced visualizations covered?

They are not part of the displayed twenty-two-lecture sample syllabus. This selection focuses on inspecting tables, missing values, row selection and conditional filtering.

Checked on 21 October 2026 using the public course details and syllabus. WikiFree has not watched every lesson or tested full playback. New free enrollments do not include a Udemy completion certificate, instructor Q&A or direct messages.

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