Day 1: Introduction to Data Analysis and Exploration of Modern Tools
The role of data analysis in supporting strategic decisions.
Introduction to Power BI, Tableau, and Excel.
Collect data from multiple sources, clean it, and prepare it for analysis.
Day 2: Using Power BI and Tableau to Analyze Data
Create interactive reports and dashboards.
Explore advanced features in Power BI and Tableau.
Analyze trends and patterns using interactive charts.
Day 3: Statistical Analysis Using Python and R
Applying statistical analysis techniques in Python and R.
Using Pandas, NumPy, and Matplotlib libraries in Python.
Time and forecast data analysis.
Day 4: Predictive Analysis and Machine Learning in Data Analysis
Applying machine learning models in predictive data analysis.
Using artificial intelligence in data analysis.
Big Data Analysis with Hadoop and Spark.
Day 5: Practical workshop on data analysis and decision making
Analyze real data using the acquired tools.
Preparing reports and recommendations based on the analysis.
Presentation of final projects and discussion of results.
In the era of big data and digital transformation, data analytics has become a key tool for making strategic decisions and improving organizational performance. Modern organizations rely on advanced data analytics techniques to extract insights, predict future trends, and improve operational efficiency. By leveraging modern analytical tools such as Power BI, Tableau, Python, and R, organizations can enhance their operations and achieve sustainable results.
This program aims to develop participants' skills in data analysis using advanced tools and techniques, including data mining, predictive analysis, and creating interactive reports