Data Analyst

Course Description

Data Analytics is one of the fastest-growing fields, helping businesses and organizations make data-driven decisions. This course is designed to give learners a solid foundation in data handling, statistical analysis, visualization, and business insights. With hands-on training in Excel, SQL, Python, and visualization tools like Power BI/Tableau, students will gain the ability to work with real-world datasets and deliver meaningful insights that drive growth and efficiency.

The course combines theory with practical projects, preparing learners for roles such as Data Analyst, Business Analyst, MIS Executive, and more. It is ideal for students, professionals, and entrepreneurs who want to upskill and build a career in the data-driven world.

CERTIFICATION

LEARNING OUTCOMES

After completing the Data Analytics course, students will be able to:

• Understand the complete data analytics process from data collection to visualization.
• Perform data analysis using Excel (formulas, pivot tables, charts).
• Write SQL queries to extract, join, and aggregate data from databases.
• Apply Python libraries (Pandas, NumPy, Matplotlib) for advanced data handling and analysis.
• Use statistical methods (correlation, regression, hypothesis testing) to interpret data.
• Build interactive dashboards and reports using Power BI or Tableau.
• Solve real-world business problems through structured data analysis.
• Present findings and insights in a professional and impactful manner.
• Explore how AI tools can automate and enhance data analytics workflows.
• Prepare a portfolio with projects to apply for roles in analytics and business intelligence.