IBM CognitiveClass offers a 100% free “Data Analysis with Python” course. Learn data manipulation, cleaning, and basic modeling using pandas, NumPy, and scikit-learn—no credit card or payment needed. At the end, you receive a verified IBM badge to boost your resume and LinkedIn profile.
Related: British Airways Data Science Virtual Experience
Why You Should Take This Course
- Understand core data science tools: pandas, NumPy, scikit-learn
- Hands-on labs to import, wrangle, and clean real datasets
- Learn to build simple predictive models
- Create pipelines for data analysis and visualization
- Earn an IBM-verified digital badge—fully free!
What You’ll Learn & Do
📥 1. Import Datasets
- Duration: ~2 hours | Level: Beginner
- Learn: Using Python to load CSV and JSON files
- You’ll Do: Identify dataset columns, read and inspect real data
🧹 2. Clean & Prepare Data
- Duration: ~3 hours
- Learn: Handle missing values, normalize formats, create bins
- You’ll Do: Clean dataframes using pandas, process date/time, prepare for analysis
📊 3. Summarize & Analyze
- Duration: ~2 hours
- Learn: Descriptive stats, ANOVA, correlation
- You’ll Do: Explore distributions, generate pivot tables
🤖 4. Build Predictive Models
- Duration: ~3 hours
- Learn: Linear regression, pipelines, model evaluation (R², MSE)
- You’ll Do: Train simple models with scikit-learn and interpret outputs
✅ 5. Evaluate & Refine
- Duration: ~2 hours
- Learn: Detect overfitting, apply grid search, perform ridge regression
- You’ll Do: Fine-tune models and validate performance
What You’ll Get
- 📜 IBM digital badge for resume & LinkedIn
- 📚 Practical skills in data analytics & machine learning basics
- 🛠️ Real-world projects to showcase in applications
How to Enroll (100% Free)
- Visit the Data Analysis with Python course on CognitiveClass
- Click “Enroll Now” and create your free account
- Start learning with self-paced labs and quizzes
- Complete the final assessment to earn your badge
Conclusion
This free “Data Analysis with Python” course from IBM CognitiveClass is a powerful way to acquire high-demand skills like data wrangling, analysis, and basic modeling. At ~15 hours total, it’s perfect for weekend upskilling—and you get a verified IBM badge at no cost. Add it to your resume and LinkedIn to stand out for data roles!
