Data Analysis with Python: Complete Data Analyst Course
Master the core data analysis workflow using Python, Pandas, and Seaborn. Transform raw, messy real-world datasets into actionable visual insights and professional analytical reports.
Created by Route Radiant
@routeradiant · view creatorPreviewing this curriculum
Enroll free to unlock every interactive mission, your progress tracker, and a verified certificate when you finish.
Full Curriculum
1Framing Questions & Setting Up Python
Establish the data analysis mindset and configure the foundational Python environment.
4 missions
Framing Questions & Setting Up Python
Establish the data analysis mindset and configure the foundational Python environment.
2Data Cleaning & Wrangling with Pandas
Fix corrupted, incomplete, and misformatted data to create clean datasets ready for analysis.
5 missions
Data Cleaning & Wrangling with Pandas
Fix corrupted, incomplete, and misformatted data to create clean datasets ready for analysis.
3Exploratory Data Analysis (EDA) & Aggregation
Uncover underlying distributions, summary metrics, and relationships across variables.
5 missions
Exploratory Data Analysis (EDA) & Aggregation
Uncover underlying distributions, summary metrics, and relationships across variables.
4Data Visualization with Matplotlib & Seaborn
Translate complex statistical patterns into intuitive and readable graphical representations.
5 missions
Data Visualization with Matplotlib & Seaborn
Translate complex statistical patterns into intuitive and readable graphical representations.
5Drawing Honest Conclusions & Avoiding Bias
Interpret analytical outputs critically while guarding against common cognitive and statistical errors.
4 missions
Drawing Honest Conclusions & Avoiding Bias
Interpret analytical outputs critically while guarding against common cognitive and statistical errors.
6Communicating Results & Final Project Execution
Synthesize data visual insights into structured executive presentations and reproducible reports.
5 missions
Communicating Results & Final Project Execution
Synthesize data visual insights into structured executive presentations and reproducible reports.
What You'll Learn
- Framing Analytical Questions
- Setting Up Jupyter & Python Libraries
- Loading Data into Pandas DataFrames
- Auditing Dataset Health and Structure
- Handling Missing Data
- Resolving Duplicates & Text Discrepancies
- Parsing & Converting Data Types
- Filtering & Transforming Rows
- Engineering Derived Features
- Calculating Descriptive Statistics
- Grouping & Aggregating Metrics
- Reshaping with Pivot Tables
Frequently Asked Questions
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Mastery Awaits
Complete all 28 missions to unlock your verified holographic certificate.
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