Earn An IBM Data Science Professional Certificate for Free

Earn an IBM Data Science Professional Certificate for Free and develop job-ready skills in data science and AI. Prepare for a career as a data scientist with job-ready skills and essential AI knowledge.

Course Features:

• Financial aid available
• 14,693 already enrolled
• Included with Coursera Plus

About This Program

IBM Data Science Professional Certificate
This 12-course series prepares you for a thriving career in data science. You’ll develop practical skills, master essential tools, and earn a valuable credential from IBM.

What You’ll Learn:

• Master practical skills and knowledge used by data scientists.
• Learn essential tools, languages, and libraries, including Python and SQL.
• Import, clean, analyze, and visualize data, and build machine learning models.
• Apply skills to real-world projects and build a portfolio showcasing your proficiency.

Skills You’ll Gain:

• Generative AI
• Data Science

Program Details:

• Shareable Certificate: Add to LinkedIn profile.
• Language: Taught in English, recently updated (June 2024).
• Career Advancement: Learn in-demand skills for top companies.

Career Support:

• Access to IBM’s People and Soft Skills Specialization.
• Resume review and LinkedIn feedback.
• Interactive tools and mock interviews.
• Job search guide and access to IBM’s Talent Network.

Career Statistics:

• $138,000+ median U.S. salary for Data Science.
• 69,000+ U.S. job openings in Data Science.

Earn a Career Certificate:

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in performance reviews.

Applied Learning Project:

Hands-on labs in the IBM Cloud provide practical skills with real-world applicability. Option to learn generative AI tools and techniques.

Tools & Libraries:

• Tools: Jupyter, GitHub, R Studio, Watson Studio.
• Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, SciPy.

Sample Projects:

• Extract and graph financial data using Pandas.
• Use SQL to query various data sets.
• Create regression models to predict housing prices.
• Build a dynamic Python dashboard.
• Apply machine learning to predict loan case outcomes.
• Train and compare machine learning models.

Course Breakdown:

1. What is Data Science? – 11 hours – 4.7 rating
2. Tools for Data Science – 18 hours – 4.5 rating
3. Data Science Methodology – 6 hours – 4.6 rating
4. Python for Data Science, AI & Development – 25 hours – 4.6 rating
5. Python Project for Data Science – 8 hours – 4.5 rating
6. Databases and SQL for Data Science with Python – 20 hours – 4.6 rating
7. Data Analysis with Python – 15 hours – 4.7 rating
8. Data Visualization with Python – 20 hours – 4.5 rating
9. Machine Learning with Python – 13 hours – 4.7 rating
10. Applied Data Science Capstone – 13 hours – 4.7 rating
11. Generative AI: Elevate Your Data Science Career – 12 hours – 4.7 rating
12. Data Scientist Career Guide and Interview Preparation – 9 hours – 4.8 rating

Offered by IBM

This program offers college credit upon completion and is ACE® and FIBAA recommended.

Embark on your data science journey today and transform your career with the IBM Data Science Professional Certificate on Coursera.