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Filbek · Data specialist
Data Analysis
From question to conclusion: reading and cleaning CSV, grouping, trends over time, correlation and reporting — in Python. The core of the data analyst path.
10 lessons
~4 h
Chapter 1. Analysis basics
5 lessons- What data analysis is ro‘yxatsiz sinab ko‘ring Practice 3 questions 15 min
- Reading and cleaning CSV ro‘yxatdan o‘tgach Practice 3 questions 20 min
- Grouping and aggregating ro‘yxatdan o‘tgach Practice 3 questions 20 min
- Trends over time ro‘yxatdan o‘tgach Practice 3 questions 20 min
- Relationships and conclusions ro‘yxatdan o‘tgach Practice 3 questions 20 min
Intermediate level
Ro‘yxatdan o‘tib, oldingi darajani tugatgach — kirish imtihoni bilan ochiladi.
Chapter 2. Quality, pivots, charts, A/B tests and cohorts
5 lessons- Data quality: duplicates and outliers ro‘yxatdan o‘tgach Practice 3 questions 25 min
- Pivot tables: grouping in two dimensions ro‘yxatdan o‘tgach Practice 3 questions 20 min
- Charts: distributions and comparisons ro‘yxatdan o‘tgach Practice 3 questions 20 min
- A/B testing: which version is better? ro‘yxatdan o‘tgach Practice 3 questions 25 min
- Cohort analysis: are users coming back? ro‘yxatdan o‘tgach Practice 3 questions 25 min