What you'll learn
- Supervised Machine Learning in Python
- Machine Learning Without Supervision
- Create and deploy a machine-learning web app
- Web-scraping
- Making maps and posting them online
- Run linear and logistic regressions, as well as cluster and factor analysis
- Apply your knowledge to real-world business problems
Who is this course for
- Beginners in Python programming and data science
- Anyone interested in the topic of data science
After finishing this course, you will have a basic understanding of Data Science and Business Analytics in Python that you can apply to your future profession.
With this, you can get free access to
- Course Materials for Life
- Expertise in all things related to Data Science and Business Analytics
Your Instructor
Over 100,000 students have received instruction from Skills Shine Academy in topics including Lift Style, Fitness Training, Cyber Security, Ethical Hacking, Facebook Ads, SEO, Email Marketing, eCommerce, Business Investing, Social Media Marketing, Launching Your Own Business, and Marketing/Ad Agency!
The Multination firm Skills Shine Academy provides a wide variety of top-notch online courses that educate through real-world examples from subject matter Shines and tried-and-true research, all supported by top-notch, studio vocally narrated videos! Teaching practical life skills, which are crucial in today's environment, is the focus.
Every course offered by Skills Shine Academy is instructed by subject-matter specialists who genuinely love what they do and want to share it with others.
Course Curriculum
- 1. Introduction (3:23)
- 2. Class Project (1:35)
- 3. What is Data Science (4:44)
- 4. Tool Overview (4:15)
- 5. How To Find Help (14:17)
- 6. Data Loading (0:21)
- 7. Loading Excel and CSV files (6:20)
- 8. Loading Data from SQL (5:11)
- 9. Loading Any Data File (5:59)
- 10. Dealing with Huge Data (10:15)
- 11. Combining Multiple Data Sources (4:15)
- 12. Data Cleaning (0:54)
- 13. Dealing with Missing Data (8:06)
- 14. Scaling and Binning Numerical Data (12:27)
- 15. Validating Data with Schemas (10:10)
- 16. Encoding Categorical Data (6:39)
- 17. Exploratory Data Analysis (6:39)
- 18. Visual Data Exploration (10:20)
- 19. Descriptive Statistics (10:20)
- 20. Dividing Data into Subsets (12:31)
- 21. Finding and Understanding Relations in the Data (5:51)
- 22. Machine Learning (1:08)
- 23. Linear Regression for Price Prediction (14:30)
- 24. Decision Trees and Random Forests (6:59)
- 25. Machine Learning Classification (9:45)
- 26. Data Clustering for Deeper Insights (8:16)
- 27. Validation of Machine Learning Models (10:02)
- 28. ML Interpretability (16:23)
- 29. Intro to Machine Learning Fairness (7:47)
- 30. Visuals & Reports (16:23)
- 31. Visualization Basics (16:23)
- 32. Visualizing Geospatial Information (5:30)
- 33. Exporting Data and Visualizations (6:42)
- 34. Creating Presentations directly in Jupyter (2:38)
- 35. Generating PDF Reports from Jupyter (3:48)
- 36. Conclusion and Congratulations! (2:04)
- Exercises
- Notebooks
Frequently Asked Questions
When does the course start and finish?
The course has begun and will never stop! You set the start and end dates for this entirely self-paced online course.
How long do I have access to the course?
Lifetime access—how does that sound? You receive unrestricted access to this course after registering for as long as you like, on any device you own.
Do I get a certificate?
Yes, when you complete the course, you will receive a certificate of completion which you can happily add to your resume or LinkedIn profile.
Can I cancel my subscription?
Yes, you can. You have a 15-days money-back guarantee.
