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5.0 (1,874)·34h 18m · 323 lectures
$3.00$12–$199up to −98%
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Python for Data Analysts: The Complete Flagship
From your first line of Python to pandas, SQL, stats, ML, AI-augmented workflows, and a real capstone.
5.012 reviews41 learners
- Beginner
- 10h 15m video
- 98 lectures
- English
- Captions
- Updated 2026
Taught by Snowbrix Academy
- 10h 15m of on-demand video
- 98 lectures across 31 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
30 sections98 lectures10h 15m total
- The Day Excel Broke6:43
- Get Running in 10 Minutes6:52
- Thinking Like a Programmer7:21
- Variables & Data Types5:54
- Operators & Expressions6:34
- Control Flow5:34
- Loops6:48
- Jupyter Magic Commands6:05
- Functions7:04
- Error Handling6:35
- Modules & Imports6:26
- Debugging Muscle0:43
- Lists & Tuples3:02
- Dictionaries & Sets5:06
- Comprehensions4:44
- Lambda, map() & filter()1:07
- Nested Structures7:03
- CSV the Right Way6:39
- Excel Files in Python5:46
- JSON & Parquet7:48
- Arrays & Vectorization6:08
- NumPy Anti-Patterns6:19
About this course
9:47 AM. Priya is three minutes into presenting Q3 numbers to leadership when she changes one cell — a currency conversion rate — and the whole workbook freezes. That's not a bad day. That's what happens to every spreadsheet that grows past what Excel was built for. This course is the fix. Across 30 modules and 98 lessons you go from your very first print() to a full analyst toolkit: pandas at production quality (not toy-CSV quality), publication-grade charts and interactive dashboards, SQL and API pulls instead o…
Before you start
- No programming experience required — this course starts from your very first line of Python
- Basic spreadsheet/Excel familiarity is helpful (we translate concepts directly from Excel) but not required
- A computer with an internet connection — Google Colab (used throughout) needs nothing installed
- No cost: Python, Colab, Anaconda, and every library used in this course are free and open-source
- Curiosity about your own data — bring a real spreadsheet or dataset from your job if you have one
Who it’s for
- Excel power users who've hit the wall — VLOOKUPs across 15 tabs, workbooks that freeze, no version control
- Aspiring or working data analysts who want production-quality pandas skills, not a toy-dataset survey
- Analysts who keep exporting CSVs by hand and want to pull straight from SQL/APIs instead
- Anyone who wants to use AI coding tools productively without blindly trusting hallucinated code
- Career changers preparing for data analyst interviews who need both the skills and the interview playbook
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