Data Analysis Foundations
Completed by Sandro Makhatadze on October 31, 2025
Verified learner ·
Badge ID: bKiTmeIDRn2ok5niA8Z9_w
About this Badge
Learn the essential skills for analyzing data effectively, including techniques for collecting, cleaning, and interpreting data to make informed decisions.
Learning objectives
- Perform data wrangling and cleansing tasks using Excel functions and pivot tables.
- Build and evaluate predictive models using Python libraries such as Pandas, NumPy, and Scikit-learn.
- Understand the fundamentals of the data analysis process, including gathering, cleaning, analyzing, and sharing data.
- Implement Time Series and Survival Analysis models, including ARIMA and hazard modeling approaches.
Skills learned
- Exploratory Data Analysis
- Time Series Analysis and Forecasting
- Excel Formulas
- Statistical Methods
- Predictive Modeling
- Microsoft Excel
- Data Wrangling
- Deep Learning
- Big Data
- Data Cleansing
- Statistical Analysis
- Data Analysis
- Data Analysis Software
- Data Analysis Expressions (DAX)
- Spatial Data Analysis
- Skills section collapsed. Showing 10 of 15 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.