IBM Data Analytics Course Cluster 1
Completed by Renz Matthew Belen on August 18, 2025
Verified learner ·
Badge ID: NGUoFwDoR5WlKBcA6NeV6Q
About this Badge
The IBM Data Analytics Certification Program is designed to equip you with the skills to collect, analyze, and interpret data that helps drive business success. You’ll get hands-on experience using industry-standard tools like Excel, SQL, Python, and Tableau to efficiently process and present data. Coursera access begins when you activate your account and lasts for the full program duration (12 weeks)—so start early and complete your courses on time!
Learning objectives
- Perform data wrangling, cleansing, and analysis using Excel and Python, including tasks such as filtering, sorting, and creating pivot tables.
- Create data visualizations and interactive dashboards using Excel and Cognos Analytics to effectively communicate data insights.
- Develop foundational Python programming skills for data science applications, including data collection, web scraping, and automation using libraries like Pandas and Beautiful Soup.
- Understand the data analysis process, including gathering, cleaning, analyzing, and sharing data, and differentiate between roles such as Data Analyst, Data Scientist, and Data Engineer.
Skills learned
- Interactive Data Visualization
- Data Visualization Software
- Pivot Tables And Charts
- IBM Cognos Analytics
- Scatter Plots
- Excel Formulas
- Tree Maps
- Apache Hadoop
- Google Sheets
- Information Privacy
- Apache Spark
- Apache Hive
- Microsoft Excel
- Web Scraping
- Data Presentation
- Data Wrangling
- Programming Principles
- Data Collection
- Data Lakes
- Data Structures
- Python Programming
- Data Entry
- Spreadsheet Software
- Histogram
- Jupyter
- Data Cleansing
- Data Manipulation
- Data Mart
- NumPy
- Data Processing
- Big Data
- Data Science
- Data Storytelling
- Dashboard
- Data Warehousing
- Statistical Analysis
- Computer Programming
- Data Visualization
- Scripting
- SQL
- Automation
- Data Quality
- Data Analysis
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- Application Programming Interface (API)
Learning content completed
Some of the content and skills presented have been contributed by the content provider.