Launch Your Data Science Career in Just 5 Months!
No prior experience needed! This program equips you with the essential skills and tools to become a competitive entry-level data scientist in as little as 5 months. You’ll build a job-ready portfolio and gain a competitive edge in the booming field of data science.
Why Data Science?
Organizations across all industries are increasingly relying on data to drive informed decisions. Skilled data scientists who can analyze data and communicate insights are in high demand. This program prepares you to meet this demand.
What You’ll Learn:
Master in-demand skills used by professional data scientists, including:
- Data Analysis: Gathering, cleaning, organizing, and analyzing data to extract meaningful insights.
- Data Visualization: Creating compelling visuals to communicate data stories effectively.
- Statistical Analysis & Predictive Modeling: Using statistical methods and machine learning algorithms to forecast outcomes.
- Key Tools & Technologies: Hands-on experience with industry-standard tools like Python, SQL, Jupyter Notebooks, GitHub, R Studio, Pandas, NumPy, Scikit-learn, Matplotlib, and more.
Hands-On Experience:
Through applied learning projects and labs in the IBM Cloud, you’ll gain practical experience tackling real-world data challenges. You’ll also explore the application of generative AI tools and techniques in data science.
Build Your Portfolio:
Complete impactful projects that showcase your skills and build a portfolio that will impress potential employers:
- Analyze financial data and create visualizations using Pandas.
- Query and analyze real-world datasets using SQL.
- Build regression models to predict housing prices.
- Develop a dynamic Python dashboard to improve flight reliability.
- Apply machine learning to predict loan repayment outcomes.
- Train and compare various machine learning models.
Career Support:
Gain access to IBM’s Talent Network, connecting you with job opportunities, personalized recommendations, and expert advice to help you stand out in the job market.
Academic Recognition:
This program is ACE® and FIBAA recommended, allowing you to earn up to 12 college credits and 6 ECTS credits upon completion.
Course 1 | What is Data Science? |
Course 2 | Tools for Data Science |
Course 3 | Data Science Methodology |
Course 4 | Python for Data Science, AI & Development |
Course 5 | Python Project for Data Science |
Course 6 | Databases and SQL for Data Science with Python |
Course 7 | Data Analysis with Python |
Course 8 | Data Visualization with Python |
Course 9 | Machine Learning with Python |
Course 10 | Applied Data Science Capstone |
Course 11 | Generative AI: Elevate your Data Science Career |
Course 12 | Data Scientist Career Guide and Interview Preparation |