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Data Science / Beginner

Pandas Tutorial

A complete Syntaxis course for Pandas, organized into atomic topics with concept-specific examples and mastery checks.

48 lessons~9.6 hoursv2.x workspace_premium Certificate available
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Course curriculum

MODULE 01
Series & DataFrames
8 lessons
1Series construction
12 min
2DataFrame construction
12 min
3index and columns
12 min
4dtypes inspection
12 min
5head(), tail(), sample()
12 min
6assign() new columns
12 min
7rename() labels
12 min
8astype() conversion
12 min
MODULE 02
Selection & Filtering
8 lessons
1column selection
12 min
2loc[] label selection
12 min
3iloc[] positional selection
12 min
4Boolean filtering
12 min
5query()
12 min
6isin()
12 min
7between()
12 min
8where() and mask()
12 min
MODULE 03
Cleaning Data
8 lessons
1isna() and notna()
12 min
2dropna()
12 min
3fillna()
12 min
4duplicated() and drop_duplicates()
12 min
5replace()
12 min
6string strip and normalize
12 min
7to_numeric() coercion
12 min
8category dtype
12 min
MODULE 04
Grouping & Aggregation
8 lessons
1groupby() basics
12 min
2multiple aggregations with agg()
12 min
3named aggregation
12 min
4transform()
12 min
5filter() groups
12 min
6value_counts()
12 min
7pivot_table()
12 min
8crosstab()
12 min
MODULE 05
Joining & Reshaping
8 lessons
1merge() inner join
12 min
2left merge
12 min
3join() on index
12 min
4concat() rows
12 min
5concat() columns
12 min
6melt()
12 min
7pivot()
12 min
8stack() and unstack()
12 min
MODULE 06
Time Series & I/O
8 lessons
1to_datetime()
12 min
2DatetimeIndex
12 min
3resample()
12 min
4rolling()
12 min
5shift()
12 min
6read_csv()
12 min
7read_json()
12 min
8to_csv()
12 min
Certificate Included

Pandas Certificate

Earn this credential in either of two ways: complete 100% of the course, or take the master exam directly and score 85% or higher. You do not need to finish the course before attempting the exam.

Course completion path
Finish every published lesson → completion certificate is issued automatically.
Mastery exam path
15 MCQs · 100 marks · 30 minutes · 85% pass · 4 attempts.
Fresh questions each attemptNo backtrackingPublic verificationAdd to LinkedIn
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