- Computer Science
- : 15
Unlock the power of data with our Data Analyst Course, designed to equip you with the skills needed to analyze and interpret complex datasets. You’ll learn essential tools and techniques, including Excel, SQL, and data visualization software like Tableau. Through hands-on projects and real-world case studies, you'll develop proficiency in data cleaning, statistical analysis, and reporting insights to stakeholders. Ideal for beginners and those looking to enhance their analytical skills, this course will prepare you for a rewarding career in data analysis and empower you to drive informed business decisions.
- Introduction to Data Analysis
- Understanding the role of a data analyst
- Overview of the data analysis process
- Data Collection and Data Sources
- Types of data: structured vs. unstructured
- Data collection methods
- Data quality and data cleaning
- Data Preparation
- Data wrangling techniques
- Handling missing data and outliers
- Data transformation and normalization
- Statistical Analysis
- Descriptive statistics (mean, median, mode, standard deviation)
- Inferential statistics (hypothesis testing, confidence intervals)
- Correlation and causation
- Data Visualization
- Introduction to data visualization principles
- Tools: Excel, Tableau, Power BI
- Creating charts, graphs, and dashboards
- SQL for Data Analysis
- Basic SQL queries: SELECT, JOIN, GROUP BY, ORDER BY
- Advanced SQL functions: subqueries, window functions
- Excel for Data Analysis
- Formulas and functions
- PivotTables and PivotCharts
- Data analysis toolpak
- Business Intelligence (BI)
- Introduction to BI concepts
- Key Performance Indicators (KPIs)
- Reporting and dashboards
- Data Ethics and Privacy
- Understanding data privacy laws (e.g., GDPR, CCPA)
- Ethical considerations in data analysis
- Case Studies and Practical Applications
- Analyzing real-world datasets