Data Science and Big Data Analytics Course
Covering topics like data mining, data visualization, predictive analytics, and big data technologies such as Hadoop, Spark, and Apache Kafka
This course focuses on techniques and tools for collecting, analyzing, and interpreting large volumes of data. Topics include data preprocessing, exploratory data analysis, statistical modeling, machine learning for big data, and data visualization.
Introduction to Data Science and Big Data
Data Preprocessing and Cleaning
Exploratory Data Analysis (EDA)
Statistical Modeling and Hypothesis Testing
Machine Learning for Big Data (e.g., using Spark)
Data Visualization with Python/R/Tableau
Big Data Technologies (e.g., Hadoop, Spark)
Applications of Big Data Analytics in Industry
