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DESCRIPTION
Becoming a data scientist takes more than the understanding of basic skills like statistics and programming in various languages. The need to develop one area of technical analytic expertise while being conversant in many others is very crucial. Going beyond descriptive analytics has become essential to meet the complexities of information requirement for decision making as well as developing strategies to drive greater profitability, improved performance and competitiveness. This course builds expertise in advanced analytics, data mining, predictive modeling. The aim of the course is to introduce the trainees to the important big data management
techniques and analytical tools.
TRAINING CONTENT
Data Science Fundamentals
Introduction to Visualization
Data Processing and Cleaning using Panda Python
Managing Big Data using Apache Hadoop and MongoDB
Exploratory Data Analysis and Visualization
Data Mining using Python
Data Extraction for Enterprise Reporting
Advanced Analytics
Linear Regression
Logistic Regression
Big Data Model Diagnostics
Supervised and unsupervised learning
Random Forest, SVM, clustering
Dimensionality reduction
Validation, and Evaluation of Machine Learning Methods
Advanced Analytic Techniques and Text Mining
Simulation of sentimental analysis
Optimization and Causal Mechanistic Analysis
Time Series and Forecasting
Big Data Security
Big Data and Apache Hadoop
Data Science / Big Data frameworks and RDDs
SQL and Data Frames Module
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Applications are accepted online through the platform: https://e.ictkosovo.eu/