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Launch Your Career in Data Analytics
Get ready to enter the high-growth field of data analytics with our comprehensive program. In just 4 months, you’ll gain in-demand skills in Python, Excel, and SQL, making you job-ready for entry-level data analytics roles.
Why Data Analytics Matters
Data analysis is a critical process that informs executive decision-making by collecting, storing, modeling, and analyzing data. With the demand for skilled data analysts at an all-time high, this program will equip you with the foundational skills employers are seeking.
What You’ll Learn
Our program covers the latest tools and techniques used by professional data analysts, including:
- Excel spreadsheets
- Python programming
- Pandas and Numpy libraries
- Jupyter Notebooks
- Cognos Analytics
- Generative AI tools and techniques (optional)
You’ll work with diverse data sources and project scenarios to gain practical experience in data manipulation and analysis. Our curriculum is designed to help you develop a strong foundation for future career growth in data science, artificial intelligence, deep learning, or data engineering.
Hands-on Projects and Labs
Throughout the program, you’ll complete hands-on projects and labs to develop your technical skills in data gathering, wrangling, mining, and visualization. You’ll also learn essential soft skills for working with stakeholders and storytelling with data.
Sample Projects
- Import, clean, and analyze fleet vehicle inventory with Excel pivot tables
- Create an interactive dashboard with visualizations using car sales KPI data
- Extract and graph financial data with Pandas
- Use SQL to query census, crime, and school demographic data sets
- Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries
- Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability
Capstone Project
At the end of the program, you’ll complete a real-world capstone project that showcases your newly acquired data analyst skills.
Career Benefits
Upon completion, you’ll receive:
- A Professional Certificate from IBM
- An IBM Digital badge
- A portfolio of projects to showcase your expertise
- Access to career resources to support your job search
- Up to 12 college credits and 6 ECTS credits (ACE and FIBAA recommended)
Course 1 | Introduction to Data Analytics |
Course 2 | Excel Basics for Data Analysis |
Course 3 | Data Visualization and Dashboards with Excel and Cognos |
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 | IBM Data Analyst Capstone Project |
Course 10 | Generative AI: Enhance your Data Analytics Career |
Course 11 | Data Analyst Career Guide and Interview Preparation |