Big Data Analytics
Importance:
Big data analytics involves examining large and varied data sets to uncover hidden patterns, correlations, and insights, helping organizations make informed decisions.
Demand:
The increasing volume of data generated by businesses has led to a high demand for professionals skilled in big data analytics to derive valuable insights.
Topics Covered:
- Introduction to big data
- Data collection and storage
- Data processing and cleaning
- Data visualization
- Machine learning and predictive analytics
- Big data tools and technologies (Hadoop, Spark)
- Data governance and ethics
- Real-world applications of big data analytics
Learning Outcome:
- Collect, process, and analyze large data sets.
- Use big data tools and technologies effectively.
- Apply machine learning techniques to big data.
- Visualize data to uncover insights.
- Understand data governance and ethical considerations