Master Python programming for data analysis, leveraging libraries like Pandas, NumPy, Matplotlib, and Seaborn to efficiently manipulate, analyze, and visualize data.
Acquire skills in data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis.
Develop proficiency in SQL to retrieve, manipulate, and aggregate data, working with SQL Server to manage complex databases and execute advanced queries.
Perform Exploratory Data Analysis (EDA) to uncover insights, identify patterns, and prepare data for further analysis through effective visualization techniques.
Use Figma (or your preferred tool) to design web and mobile interfaces.
Create impactful visualizations using Matplotlib, Seaborn, and Plotly to present data patterns and trends clearly and effectively.
Build interactive and insightful dashboards using Power BI, applying DAX for complex calculations and integrating real-world data to produce actionable reports.
Master Tableau to design dynamic, visually appealing dashboards and interactive visualizations, enabling data-driven decision-making.
Learn to combine Power BI and Tableau to create comprehensive, user-friendly reports that cater to diverse business needs.
Apply proven UX patterns and principles to common UI elements (navigation, forms, etc.).
Gain expertise in statistical analysis, including descriptive statistics and correlation analysis, to derive meaningful insights from datasets.
Develop skills to integrate and manage datasets from various sources, ensuring consistency and reliability for analysis and reporting.
Create real-time, responsive data visualizations and dashboards using Power BI and Tableau to support stakeholder presentations and business intelligence workflows.
