Data Science

Data Science

Data Science Training:

1. Introduction to Data Science
   • What is Data Science?
   • Importance of Data Science in Industry
   • Role of a Data Scientist
2. Data Analysis and Visualization
   • Data Preprocessing and Cleaning
   • Exploratory Data Analysis (EDA)
   • Data Visualization Techniques
3. Machine Learning Fundamentals
   • Supervised Learning
   • Unsupervised Learning
   • Model Evaluation and Selection
4. Deep Learning and Neural Networks
   • Introduction to Deep Learning
   • Neural Network Architectures
   • Deep Learning Frameworks (e.g., TensorFlow, PyTorch)
5. Big Data Analytics
   • Introduction to Big Data Technologies
   • Hadoop and MapReduce
   • Spark and Hadoop Ecosystem
6. Data Science Tools and Technologies
   • Python for Data Science (NumPy, Pandas, Matplotlib)
   • R Programming Language
   • SQL for Data Analysis
7. Capstone Project
   • Real-world Data Science Project
   • Application of Skills Learned

Data Science

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