Mandavo Computer Learning Center has been a great place for students. I learned Data Analytics and I have no regrets at all. Everything I learned was helpful, the learning materials was powerful and easy to understand. I will recommend this center to anyone interested in becoming a data analyst. I’m glad to have come across this center.
DATA ANALYST
This data analytics course breaks down key concepts through real-world case studies, providing practical insights on implementing data and analytics principles in businesses and organizations.
Skills You Will Learn
Explore the essentials of data analytics in our comprehensive course, where fundamental concepts are illuminated through real-world case studies and examples. Gain valuable insights into the practical application of data and analytics principles in various business scenarios.
Delve into topics such as data lifecycles, distinguishing between data analytics, data science, and machine learning. Learn to construct a robust analytics framework and leverage cutting-edge tools to extract meaningful business insights, empowering you to make informed decisions.
Elevate your skills and enhance your proficiency in the dynamic field of data analytics.
- Introduction to data analytics
- Data analytics with Microsoft Excel
- Data analytics with POWER BI
- Data analytics with SQL
Testimonial
FREQUENTLY ASKED QUESTIONS
The duration of the class will last for 12 weeks
1. Business Decision-Making:
Data analysis helps businesses make informed decisions by analyzing market trends, customer behavior, and operational efficiency.
2. Customer Insights:
Analyzing customer data provides valuable insights, allowing businesses to tailor products and services to meet customer needs.
3. Operational Efficiency:
Data analysis optimizes processes, identifies bottlenecks, and enhances overall efficiency within organizations.
4. Risk Assessment in Finance:
In finance, data analysis is crucial for risk management, fraud detection, and developing investment strategies.
5. Healthcare Management:
Data analysis in healthcare assists in patient diagnosis, treatment planning, and optimizing healthcare delivery systems.
6. Scientific Research: Researchers use data analysis to validate hypotheses, draw conclusions, and make discoveries across various scientific disciplines.
7. Marketing Optimization:
Marketers analyze data to assess campaign effectiveness, target audiences, and allocate resources efficiently.
8. Supply Chain Optimization:
Analyzing supply chain data helps streamline logistics, reduce costs, and improve overall supply chain performance.
9. Predictive Maintenance:
Industries use data analysis to predict equipment failures, enabling proactive maintenance and minimizing downtime.
10. Social and Government Policy Planning:
Governments utilize data analysis to inform policy decisions, assess social trends, and allocate resources effectively.